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arbeit/ma.md
@ -28,7 +28,7 @@ Unless otherwise noted the following holds:
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Many modern industrial design processes require advanced optimization methods
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due to the increased complexity resulting from more and more degrees of freedom
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as methods refine and/or other methods are used. Examples for this are physical
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domains like aerodynamic (i.e. drag), fluid dynamics (i.e. throughput of liquid)
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domains like aerodynamics (i.e. drag), fluid dynamics (i.e. throughput of liquid)
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--- where the complexity increases with the temporal and spatial resolution of
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the simulation --- or known hard algorithmic problems in informatics (i.e.
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layouting of circuit boards or stacking of 3D--objects). Moreover these are
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@ -45,7 +45,7 @@ representation (the *genome*) can be challenging.
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This translation is often necessary as the target of the optimization may have
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too many degrees of freedom. In the example of an aerodynamic simulation of drag
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onto an object, those objects--designs tend to have a high number of vertices to
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onto an object, those object--designs tend to have a high number of vertices to
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adhere to various requirements (visual, practical, physical, etc.). A simpler
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representation of the same object in only a few parameters that manipulate the
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whole in a sensible matter are desirable, as this often decreases the
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@ -425,7 +425,7 @@ the given direction.
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The definition for an *improvement potential* $P$ is\cite{anrichterEvol}:
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$$
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P(\vec{U}) := 1 - \|(\vec{1} - \vec{UU}^+)\vec(G)\|^2_F
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P(\vec{U}) := 1 - \|(\vec{1} - \vec{UU}^+)\vec{G}\|^2_F
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$$
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given some approximate $n \times d$ fitness--gradient $\vec{G}$, normalized to
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$\|\vec{G}\|_F = 1$, whereby $\|\cdot\|_F$ denotes the Frobenius--Norm.
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@ -549,6 +549,7 @@ and use Cramers rule for inverting the small Jacobian and solving this system of
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linear equations.
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## Deformation Grid
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\label{sec:impl:grid}
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As mentioned in chapter \ref{sec:back:evo}, the way of choosing the
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representation to map the general problem (mesh--fitting/optimization in our
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@ -565,19 +566,9 @@ control point without having a $1:1$--correlation, and a smooth deformation.
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While the advantages are great, the issues arise from the problem to decide
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where to place the control--points and how many.
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One would normally think, that the more control--points you add, the better the
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result will be, but this is not the case for our B--Splines. Given any point $p$
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only the $2 \cdot (d-1)$ control--points contribute to the parametrization of
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that point^[Normally these are $d-1$ to each side, but at the boundaries the
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number gets increased to the inside to meet the required smoothness].
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This means, that a high resolution can have many control-points that are not
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contributing to any point on the surface and are thus completely irrelevant to
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the solution.
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\begin{figure}[!ht]
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\begin{center}
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\begin{figure}[!tbh]
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\centering
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\includegraphics{img/enoughCP.png}
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\end{center}
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\caption[Example of a high resolution control--grid]{A high resolution
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($10 \times 10$) of control--points over a circle. Yellow/green points
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contribute to the parametrization, red points don't.\newline
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@ -586,6 +577,14 @@ control--points.}
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\label{fig:enoughCP}
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\end{figure}
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One would normally think, that the more control--points you add, the better the
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result will be, but this is not the case for our B--Splines. Given any point $p$
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only the $2 \cdot (d-1)$ control--points contribute to the parametrization of
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that point^[Normally these are $d-1$ to each side, but at the boundaries the
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number gets increased to the inside to meet the required smoothness].
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This means, that a high resolution can have many control-points that are not
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contributing to any point on the surface and are thus completely irrelevant to
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the solution.
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We illustrate this phenomenon in figure \ref{fig:enoughCP}, where the four red
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central points are not relevant for the parametrization of the circle.
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@ -619,14 +618,14 @@ In this scenario we used the shape defined by Giannelli et al.\cite{giannelli201
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which is also used by Richter et al.\cite{anrichterEvol} using the same
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discretization to $150 \times 150$ points for a total of $n = 22\,500$ vertices. The
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shape is given by the following definition
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$$
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\begin{equation}
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t(x,y) =
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\begin{cases}
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0.5 \cos(4\pi \cdot q^{0.5}) + 0.5 & q(x,y) < \frac{1}{16},\\
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2(y-x) & 0 < y-x < 0.5,\\
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1 & 0.5 < y - x
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\end{cases}
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$$
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\end{equation}<!-- </> -->
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with $(x,y) \in [0,2] \times [0,1]$ and $q(x,y)=(x-1.5)^2 + (y-0.5)^2$, which we have
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visualized in figure \ref{fig:1dtarget}.
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@ -645,9 +644,9 @@ correct.
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Regarding the *fitness--function* $f(\vec{p})$, we use the very simple approach
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of calculating the squared distances for each corresponding vertex
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$$
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\begin{equation}
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\textrm{f(\vec{p})} = \sum_{i=1}^{n} \|(\vec{Up})_i - t_i\|_2^2 = \|\vec{Up} - \vec{t}\|^2 \rightarrow \min
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$$
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\end{equation}
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where $t_i$ are the respective target--vertices to the parametrized
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source--vertices^[The parametrization is encoded in $\vec{U}$ and the initial
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position of the control points. See \ref{sec:ffd:adapt}] with the current
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@ -659,6 +658,108 @@ This formula is also the least--squares approximation error for which we
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can compute the analytic solution $\vec{p^{*}} = \vec{U^+}\vec{t}$, yielding us
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the correct gradient in which the evolutionary optimizer should move.
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## Test Scenario: 3D Function Approximation
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\label{sec:test:3dfa}
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Opposed to the 1--dimensional scenario before, the 3--dimensional scenario is
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much more complex --- not only because we have more degrees of freedom on each
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control point, but also because the *fitness--function* we will use has no known
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analytic solution and multiple local minima.
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\begin{figure}[ht]
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\begin{center}
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\includegraphics[width=0.9\textwidth]{img/3dtarget.png}
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\end{center}
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\caption[3D source and target meshes]{\newline
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Left: The sphere we start from with 10\,807 vertices\newline
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Right: The face we want to deform the sphere into with 12\,024 vertices.}
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\label{fig:3dtarget}
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\end{figure}
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First of all we introduce the set up: We have given a triangulated model of a
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sphere consisting of $10\,807$ vertices, that we want to deform into a
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the target--model of a face with a total of $12\,024$ vertices. Both of
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these Models can be seen in figure \ref{fig:3dtarget}.
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Opposed to the 1D--case we cannot map the source and target--vertices in a
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one--to--one--correspondence, which we especially need for the approximation of
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the fitting--error. Hence we state that the error of one vertex is the distance
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to the closest vertex of the other model.
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We therefore define the *fitness--function* to be:
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\begin{equation}
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f(\vec{P}) = \frac{1}{n} \underbrace{\sum_{i=1}^n \|\vec{c_T(s_i)} -
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\vec{s_i}\|_2^2}_{\textrm{source-to-target--distance}}
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+ \frac{1}{m} \underbrace{\sum_{i=1}^m \|\vec{c_S(t_i)} -
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\vec{t_i}\|_2^2}_{\textrm{target-to-source--distance}}
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+ \lambda \cdot \textrm{regularization}(\vec{P})
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\label{eq:fit3d}
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\end{equation}
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where $\vec{c_T(s_i)}$ denotes the target--vertex that is corresponding to the
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source--vertex $\vec{s_i}$ and $\vec{c_S(t_i)}$ denotes the source--vertex that
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corresponds to the target--vertex $\vec{t_i}$. Note that the target--vertices
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are given and fixed by the target--model of the face we want to deform into,
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whereas the source--vertices vary depending on the chosen parameters $\vec{P}$,
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as those get calculated by the previously introduces formula $\vec{S} = \vec{UP}$
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with $\vec{S}$ being the $n \times 3$--matrix of source--vertices, $\vec{U}$ the
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$n \times m$--matrix of calculated coefficients for the \ac{FFD} --- analog to
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the 1D case --- and finally $\vec{P}$ being the $m \times 3$--matrix of the
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control--grid defining the whole deformation.
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As regularization-term we add a weighted Laplacian of the deformation that has
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been used before by Aschenbach et al.\cite[Section 3.2]{aschenbach2015} on
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similar models and was shown to lead to a more precise fit. The Laplacian
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\begin{equation}
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\textrm{regularization}(\vec{P}) = \frac{1}{\sum_i A_i} \sum_{i=1}^n A_i \cdot \left( \sum_{\vec{s_j} \in \mathcal{N}(\vec{s_i})} w_j \cdot \|\Delta \vec{s_j} - \Delta \vec{\overline{s}_j}\|^2 \right)
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\label{eq:reg3d}
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\end{equation}
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is determined by the cotangent weighted displacement $w_j$ of the to $s_i$
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connected vertices $\mathcal{N}(s_i)$ and $A_i$ is the Voronoi--area of the corresponding vertex
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$\vec{s_i}$. We leave out the $\vec{R}_i$--term from the original paper as our
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deformation is merely linear.
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This regularization--weight gives us a measure of stiffness for the material
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that we will influence via the $\lambda$--coefficient to start out with a stiff
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material that will get more flexible per iteration.
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\unsure[inline]{Andreas: hast du nen cite, wo gezeigt ist, dass das so sinnvoll ist?}
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# Evaluation of Scenarios
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\label{sec:res}
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To compare our results to the ones given by Richter et al.\cite{anrichterEvol},
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we also use Spearman's rank correlation coefficient. Opposed to other popular
|
||||
coefficients, like the Pearson correlation coefficient, which measures a linear
|
||||
relationship between variables, the Spearmans's coefficient assesses \glqq how
|
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well an arbitrary monotonic function can descripbe the relationship between two
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variables, without making any assumptions about the frequency distribution of
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the variables\grqq\cite{hauke2011comparison}.
|
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As we don't have any prior knowledge if any of the criteria is linear and we are
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just interested in a monotonic relation between the criteria and their
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predictive power, the Spearman's coefficient seems to fit out scenario best.
|
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|
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For interpretation of these values we follow the same interpretation used in
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\cite{anrichterEvol}, based on \cite{weir2015spearman}: The coefficient
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intervals $r_S \in [0,0.2[$, $[0.2,0.4[$, $[0.4,0.6[$, $[0.6,0.8[$, and $[0.8,1]$ are
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classified as *very weak*, *weak*, *moderate*, *strong* and *very strong*. We
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interpret p--values smaller than $0.1$ as *significant* and cut off the
|
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precision of p--values after four decimal digits (thus often having a p--value
|
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of $0$ given for p--values $< 10^{-4}$).
|
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<!-- </> -->
|
||||
|
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As we are looking for anti--correlation (i.e. our criterion should be maximized
|
||||
indicating a minimal result in --- for example --- the reconstruction--error)
|
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instead of correlation we flip the sign of the correlation--coefficient for
|
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readability and to have the correlation--coefficients be in the
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classification--range given above.
|
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|
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For the evolutionary optimization we employ the CMA--ES (covariance matrix
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adaptation evolution strategy) of the shark3.1 library \cite{shark08}, as this
|
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algorithm was used by \cite{anrichterEvol} as well. We leave the parameters at
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their sensible defaults as further explained in
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\cite[Appendix~A: Table~1]{hansen2016cma}.
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## Procedure: 1D Function Approximation
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\label{sec:proc:1d}
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@ -702,144 +803,6 @@ appropriate.].
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An Example of such a testcase can be seen for a $7 \times 4$--grid in figure
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\ref{fig:example1d_grid}.
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## Test Scenario: 3D Function Approximation
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Opposed to the 1--dimensional scenario before, the 3--dimensional scenario is
|
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much more complex --- not only because we have more degrees of freedom on each
|
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control point, but also because the *fitness--function* we will use has no known
|
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analytic solution and multiple local minima.
|
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\begin{figure}[ht]
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\begin{center}
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\includegraphics[width=0.7\textwidth]{img/3dtarget.png}
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\end{center}
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\caption[3D source and target meshes]{\newline
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Left: The sphere we start from with 10\,807 vertices\newline
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Right: The face we want to deform the sphere into with 12\,024 vertices.}
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\label{fig:3dtarget}
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\end{figure}
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|
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First of all we introduce the set up: We have given a triangulated model of a
|
||||
sphere consisting of 10\,807 vertices, that we want to deform into a
|
||||
the target--model of a face with a total of 12\,024 vertices. Both of
|
||||
these Models can be seen in figure \ref{fig:3dtarget}.
|
||||
|
||||
Opposed to the 1D--case we cannot map the source and target--vertices in a
|
||||
one--to--one--correspondence, which we especially need for the approximation of
|
||||
the fitting--error. Hence we state that the error of one vertex is the distance
|
||||
to the closest vertex of the other model.
|
||||
|
||||
We therefore define the *fitness--function* to be:
|
||||
$$
|
||||
f(\vec{P}) = \frac{1}{n} \underbrace{\sum_{i=1}^n \|\vec{c_T(s_i)} -
|
||||
\vec{s_i}\|_2^2}_{\textrm{source-to-target--distance}}
|
||||
+ \frac{1}{m} \underbrace{\sum_{i=1}^m \|\vec{c_S(t_i)} -
|
||||
\vec{t_i}\|_2^2}_{\textrm{target-to-source--distance}}
|
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+ \lambda \cdot \textrm{regularization}(\vec{P})
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$$
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||||
where $\vec{c_T(s_i)}$ denotes the target--vertex that is corresponding to the
|
||||
source--vertex $\vec{s_i}$ and $\vec{c_S(t_i)}$ denotes the source--vertex that
|
||||
corresponds to the target--vertex $\vec{t_i}$. Note that the target--vertices
|
||||
are given and fixed by the target--model of the face we want to deform into,
|
||||
whereas the source--vertices vary depending on the chosen parameters $\vec{P}$,
|
||||
as those get calculated by the previously introduces formula $\vec{S} = \vec{UP}$
|
||||
with $\vec{S}$ being the $n \times 3$--matrix of source--vertices, $\vec{U}$ the
|
||||
$n \times m$--matrix of calculated coefficients for the \ac{FFD} --- analog to
|
||||
the 1D case --- and finally $\vec{P}$ being the $m \times 3$--matrix of the
|
||||
control--grid defining the whole deformation.
|
||||
|
||||
As regularization-term we add a weighted Laplacian of the deformation that has
|
||||
been used before by Aschenbach et al.\cite[Section 3.2]{aschenbach2015} on
|
||||
similar models and was shown to lead to a more precise fit. The Laplacian
|
||||
$$
|
||||
\textrm{regularization}(\vec{P}) = \frac{1}{\sum_i A_i} \sum_{i=1}^n A_i \cdot \left( \sum_{\vec{s_j} \in \mathcal{N}(\vec{s_i})} w_j \cdot \|\Delta \vec{s_j} - \Delta \vec{\overline{s}_j}\|^2 \right)
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$$
|
||||
is determined by the cotangent weighted displacement $w_j$ of the to $s_i$
|
||||
connected vertices $\mathcal{N}(s_i)$ and $A_i$ is the Voronoi--area of the corresponding vertex
|
||||
$\vec{s_i}$. We leave out the $\vec{R}_i$--term from the original paper as our
|
||||
deformation is merely linear.
|
||||
|
||||
This regularization--weight gives us a measure of stiffness for the material
|
||||
that we will influence via the $\lambda$--coefficient to start out with a stiff
|
||||
material that will get more flexible per iteration.
|
||||
\unsure[inline]{Andreas: hast du nen cite, wo gezeigt ist, dass das so sinnvoll ist?}
|
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|
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## Procedure: 3D Function Approximation
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Initially we set up the correspondences $\vec{c_T(\dots)}$ and $\vec{c_S(\dots)}$ to be
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the respectively closest vertices of the other model. We then calculate the
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analytical solution given these correspondences via $\vec{P^{*}} = \vec{U^+}\vec{T}$,
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and also use the first solution as guessed gradient for the calculation of the
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*improvement--potential*, as the optimal solution is not known.
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We then let the evolutionary algorithm run up within $1.05$ times the error of
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this solution and afterwards recalculate the correspondences $\vec{c_T(\dots)}$
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and $\vec{c_S(\dots)}$.
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For the next step we then halve the regularization--impact $\lambda$ and
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calculate the next incremental solution $\vec{P^{*}} = \vec{U^+}\vec{T}$ with
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the updated correspondences to get our next target--error.
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We repeat this process as long as the target--error keeps decreasing.
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\begin{figure}[ht]
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\begin{center}
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\includegraphics[width=\textwidth]{img/example3d_grid.png}
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\end{center}
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\caption[Example of a 3D--grid]{\newline Left: The 3D--setup with a $4\times
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4\times 4$--grid.\newline Right: The same grid after added noise to the
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control--points.}
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\label{fig:setup3d}
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\end{figure}
|
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The grid we use for our experiments is just very coarse due to computational
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limitations. We are not interested in a good reconstruction, but an estimate if
|
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the mentioned evolvability criteria are good.
|
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|
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In figure \ref{fig:setup3d} we show an example setup of the scene with a
|
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$4\times 4\times 4$--grid. Identical to the 1--dimensional scenario before, we create a
|
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regular grid and move the control-points uniformly random between their
|
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neighbours, but in three instead of two dimensions^[Again, we flip the signs for
|
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the edges, if necessary to have the object still in the convex hull.].
|
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|
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As is clearly visible from figure \ref{fig:3dtarget}, the target--model has many
|
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vertices in the facial area, at the ears and in the neck--region. Therefore we
|
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chose to increase the grid-resolutions for our tests in two different dimensions
|
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and see how well the criteria predict a suboptimal placement of these
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control-points.
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# Evaluation of Scenarios
|
||||
\label{sec:res}
|
||||
|
||||
To compare our results to the ones given by Richter et al.\cite{anrichterEvol},
|
||||
we also use Spearman's rank correlation coefficient. Opposed to other popular
|
||||
coefficients, like the Pearson correlation coefficient, which measures a linear
|
||||
relationship between variables, the Spearmans's coefficient assesses \glqq how
|
||||
well an arbitrary monotonic function can descripbe the relationship between two
|
||||
variables, without making any assumptions about the frequency distribution of
|
||||
the variables\grqq\cite{hauke2011comparison}.
|
||||
|
||||
As we don't have any prior knowledge if any of the criteria is linear and we are
|
||||
just interested in a monotonic relation between the criteria and their
|
||||
predictive power, the Spearman's coefficient seems to fit out scenario best.
|
||||
|
||||
For interpretation of these values we follow the same interpretation used in
|
||||
\cite{anrichterEvol}, based on \cite{weir2015spearman}: The coefficient
|
||||
intervals $r_S \in [0,0.2[$, $[0.2,0.4[$, $[0.4,0.6[$, $[0.6,0.8[$, and $[0.8,1]$ are
|
||||
classified as *very weak*, *weak*, *moderate*, *strong* and *very strong*. We
|
||||
interpret p--values smaller than $0.1$ as *significant* and cut off the
|
||||
precision of p--values after four decimal digits (thus often having a p--value
|
||||
of $0$ given for p--values $< 10^{-4}$).
|
||||
|
||||
As we are looking for anti--correlation (i.e. our criterion should be maximized
|
||||
indicating a minimal result in --- for example --- the reconstruction--error)
|
||||
instead of correlation we flip the sign of the correlation--coefficient for
|
||||
readability and to have the correlation--coefficients be in the
|
||||
classification--range given above.
|
||||
|
||||
For the evolutionary optimization we employ the CMA--ES (covariance matrix
|
||||
adaptation evolution strategy) of the shark3.1 library \cite{shark08}, as this
|
||||
algorithm was used by \cite{anrichterEvol} as well. We leave the parameters at
|
||||
their sensible defaults as further explained in
|
||||
\cite[Appendix~A: Table~1]{hansen2016cma}.
|
||||
|
||||
## Results of 1D Function Approximation
|
||||
|
||||
In the case of our 1D--Optimization--problem, we have the luxury of knowing the
|
||||
@ -894,21 +857,6 @@ between the variability and the evolutionary error.
|
||||
|
||||
### Regularity
|
||||
|
||||
\begin{table}[bht]
|
||||
\centering
|
||||
\begin{tabular}{c|c|c|c|c}
|
||||
$5 \times 5$ & $7 \times 4$ & $4 \times 7$ & $7 \times 7$ & $10 \times 10$\\
|
||||
\hline
|
||||
$0.28$ ($0.0045$) & \textcolor{red}{$0.21$} ($0.0396$) & \textcolor{red}{$0.1$} ($0.3019$) & \textcolor{red}{$0.01$} ($0.9216$) & \textcolor{red}{$0.01$} ($0.9185$)
|
||||
\end{tabular}
|
||||
\caption[Correlation 1D Regularity/Steps]{Spearman's correlation (and p-values)
|
||||
between regularity and convergence speed for the 1D function approximation
|
||||
problem.\newline
|
||||
Not significant entries are marked in red.
|
||||
}
|
||||
\label{tab:1dreg}
|
||||
\end{table}
|
||||
|
||||
\begin{figure}[ht]
|
||||
\centering
|
||||
\includegraphics[width=\textwidth]{img/evolution1d/55_to_1010_steps.png}
|
||||
@ -920,6 +868,21 @@ dataset.}
|
||||
\label{fig:1dreg}
|
||||
\end{figure}
|
||||
|
||||
\begin{table}[b]
|
||||
\centering
|
||||
\begin{tabular}{c|c|c|c|c}
|
||||
$5 \times 5$ & $7 \times 4$ & $4 \times 7$ & $7 \times 7$ & $10 \times 10$\\
|
||||
\hline
|
||||
$0.28$ ($0.0045$) & \textcolor{red}{$0.21$} ($0.0396$) & \textcolor{red}{$0.1$} ($0.3019$) & \textcolor{red}{$0.01$} ($0.9216$) & \textcolor{red}{$0.01$} ($0.9185$)
|
||||
\end{tabular}
|
||||
\caption[Correlation 1D Regularity/Steps]{Spearman's correlation (and p-values)
|
||||
between regularity and convergence speed for the 1D function approximation
|
||||
problem.
|
||||
\newline Note: Not significant results are marked in \textcolor{red}{red}.
|
||||
}
|
||||
\label{tab:1dreg}
|
||||
\end{table}
|
||||
|
||||
Regularity should correspond to the convergence speed (measured in
|
||||
iteration--steps of the evolutionary algorithm), and is computed as inverse
|
||||
condition number $\kappa(\vec{U})$ of the deformation--matrix.
|
||||
@ -936,13 +899,11 @@ improvement-potential against the steps next to the regularity--plot. Our theory
|
||||
is that the *very strong* correlation ($-r_S = -0.82, p=0$) between
|
||||
improvement--potential and number of iterations hints that the employed
|
||||
algorithm simply takes longer to converge on a better solution (as seen in
|
||||
figure \ref{fig:1dvar} and \ref{fig:1dimp}) offsetting any gain the regularity--measurement could
|
||||
achieve.
|
||||
figure \ref{fig:1dvar} and \ref{fig:1dimp}) offsetting any gain the
|
||||
regularity--measurement could achieve.
|
||||
|
||||
### Improvement Potential
|
||||
|
||||
- Alle Spearman 1 und p-value 0.
|
||||
|
||||
\begin{figure}[ht]
|
||||
\centering
|
||||
\includegraphics[width=0.8\textwidth]{img/evolution1d/55_to_1010_improvement-vs-evo-error.png}
|
||||
@ -952,36 +913,246 @@ grid--resolutions}
|
||||
\label{fig:1dimp}
|
||||
\end{figure}
|
||||
|
||||
<!--  -->
|
||||
<!-- -->
|
||||
<!--  -->
|
||||
<!-- -->
|
||||
<!--  -->
|
||||
\improvement[inline]{write something about it..}
|
||||
|
||||
- spearman 1 (p=0)
|
||||
- gradient macht keinen unterschied
|
||||
- $UU^+$ scheint sehr kleine EW zu haben, s. regularität
|
||||
- trotzdem sehr gutes kriterium - auch ohne Richtung.
|
||||
|
||||
## Procedure: 3D Function Approximation
|
||||
\label{sec:proc:3dfa}
|
||||
|
||||
As explained in section \ref{sec:test:3dfa} in detail, we do not know the
|
||||
analytical solution to the global optimum. Additionally we have the problem of
|
||||
finding the right correspondences between the original sphere--model and the
|
||||
target--model, as they consist of $10\,807$ and $12\,024$ vertices respectively,
|
||||
so we cannot make a one--to--one--correspondence between them as we did in the
|
||||
one--dimensional case.
|
||||
|
||||
Initially we set up the correspondences $\vec{c_T(\dots)}$ and $\vec{c_S(\dots)}$ to be
|
||||
the respectively closest vertices of the other model. We then calculate the
|
||||
analytical solution given these correspondences via $\vec{P^{*}} = \vec{U^+}\vec{T}$,
|
||||
and also use the first solution as guessed gradient for the calculation of the
|
||||
*improvement--potential*, as the optimal solution is not known.
|
||||
We then let the evolutionary algorithm run up within $1.05$ times the error of
|
||||
this solution and afterwards recalculate the correspondences $\vec{c_T(\dots)}$
|
||||
and $\vec{c_S(\dots)}$.
|
||||
|
||||
\begin{figure}[ht]
|
||||
\begin{center}
|
||||
\includegraphics[width=\textwidth]{img/example3d_grid.png}
|
||||
\end{center}
|
||||
\caption[Example of a 3D--grid]{\newline Left: The 3D--setup with a $4\times
|
||||
4\times 4$--grid.\newline Right: The same grid after added noise to the
|
||||
control--points.}
|
||||
\label{fig:setup3d}
|
||||
\end{figure}
|
||||
|
||||
For the next step we then halve the regularization--impact $\lambda$ (starting
|
||||
at $1$) of our *fitness--function* (\ref{eq:fit3d}) and calculate the next
|
||||
incremental solution $\vec{P^{*}} = \vec{U^+}\vec{T}$ with the updated
|
||||
correspondences to get our next target--error. We repeat this process as long as
|
||||
the target--error keeps decreasing and use the number of these iterations as
|
||||
measure of the convergence speed. As the resulting evolutional error without
|
||||
regularization is in the numeric range of $\approx 100$, whereas the
|
||||
regularization is numerically $\approx 7000$ we need at least $10$ to $15$ iterations
|
||||
until the regularization--effect wears off.
|
||||
|
||||
The grid we use for our experiments is just very coarse due to computational
|
||||
limitations. We are not interested in a good reconstruction, but an estimate if
|
||||
the mentioned evolvability criteria are good.
|
||||
|
||||
In figure \ref{fig:setup3d} we show an example setup of the scene with a
|
||||
$4\times 4\times 4$--grid. Identical to the 1--dimensional scenario before, we create a
|
||||
regular grid and move the control-points \todo{wie?} random between their
|
||||
neighbours, but in three instead of two dimensions^[Again, we flip the signs for
|
||||
the edges, if necessary to have the object still in the convex hull.].
|
||||
|
||||
\begin{figure}[!htb]
|
||||
\includegraphics[width=\textwidth]{img/3d_grid_resolution.png}
|
||||
\caption[Different resolution of 3D grids]{\newline
|
||||
Left: A $7 \times 4 \times 4$ grid suited to better deform into facial
|
||||
features.\newline
|
||||
Right: A $4 \times 4 \times 7$ grid that we expect to perform worse.}
|
||||
\label{fig:3dgridres}
|
||||
\end{figure}
|
||||
|
||||
As is clearly visible from figure \ref{fig:3dgridres}, the target--model has many
|
||||
vertices in the facial area, at the ears and in the neck--region. Therefore we
|
||||
chose to increase the grid-resolutions for our tests in two different dimensions
|
||||
and see how well the criteria predict a suboptimal placement of these
|
||||
control-points.
|
||||
|
||||
## Results of 3D Function Approximation
|
||||
|
||||
In the 3D--Approximation we tried to evaluate further on the impact of the
|
||||
grid--layout to the overall criteria. As the target--model has many vertices in
|
||||
concentrated in the facial area we start from a $4 \times 4 \times 4$ grid and
|
||||
only increase the number of control points in one dimension, yielding a
|
||||
resolution of $7 \times 4 \times 4$ and $4 \times 4 \times 7$ respectively. We
|
||||
visualized those two grids in figure \ref{fig:3dgridres}.
|
||||
|
||||
\begin{figure}[!ht]
|
||||
\includegraphics[width=\textwidth]{img/evolution3d/4x4xX_montage.png}
|
||||
\caption{Results 3D for 4x4xX}
|
||||
To evaluate the performance of the evolvability--criteria we also tested a more
|
||||
neutral resolution of $4 \times 4 \times 4$, $5 \times 5 \times 5$, and $6 \times 6 \times 6$ ---
|
||||
similar to the 1D--setup.
|
||||
|
||||
\begin{figure}[ht]
|
||||
\centering
|
||||
\includegraphics[width=0.7\textwidth]{img/evolution3d/variability_boxplot.png}
|
||||
\caption[3D Fitting Errors for various grids]{The fitting error for the various
|
||||
grids we examined.\newline
|
||||
Note that the number of control--points is a product of the resolution, so $X
|
||||
\times 4 \times 4$ and $4 \times 4 \times X$ have the same number of
|
||||
control--points.}
|
||||
\label{fig:3dvar}
|
||||
\end{figure}
|
||||
|
||||
\begin{figure}[!ht]
|
||||
\includegraphics[width=\textwidth]{img/evolution3d/Xx4x4_montage.png}
|
||||
\caption{Results 3D for Xx4x4}
|
||||
### Variability
|
||||
|
||||
\begin{table}[tbh]
|
||||
\centering
|
||||
\begin{tabular}{c|c|c|c}
|
||||
$4 \times 4 \times \mathrm{X}$ & $\mathrm{X} \times 4 \times 4$ & $\mathrm{Y} \times \mathrm{Y} \times \mathrm{Y}$ & all \\
|
||||
\hline
|
||||
0.89 (0) & 0.9 (0) & 0.91 (0) & 0.94 (0)
|
||||
\end{tabular}
|
||||
\caption[Correlation between variability and fitting error for 3D]{Correlation
|
||||
between variability and fitting error for the 3D fitting scenario.\newline
|
||||
Displayed are the negated Spearman coefficients with the corresponding p-values
|
||||
in brackets for three cases of increasing variability ($\mathrm{X} \in [4,5,7],
|
||||
\mathrm{Y} \in [4,5,6]$).
|
||||
\newline Note: Not significant results are marked in \textcolor{red}{red}.}
|
||||
\label{tab:3dvar}
|
||||
\end{table}
|
||||
|
||||
Similar to the 1D case all our tested matrices had a constant rank (being
|
||||
$m = x \cdot y \cdot z$ for a $x \times y \times z$ grid), so we again have merely plotted
|
||||
the errors in the boxplot in figure \ref{fig:3dvar}.
|
||||
|
||||
As expected the $\mathrm{X} \times 4 \times 4$ grids performed
|
||||
slightly better than their $4 \times 4 \times \mathrm{X}$ counterparts with a
|
||||
mean$\pm$sigma of $101.25 \pm 7.45$ to $102.89 \pm 6.74$ for $\mathrm{X} = 5$ and
|
||||
$85.37 \pm 7.12$ to $89.22 \pm 6.49$ for $\mathrm{X} = 7$.
|
||||
|
||||
Interestingly both variants end up closer in terms of fitting error than we
|
||||
anticipated, which shows that the evolutionary algorithm we employed is capable
|
||||
of correcting a purposefully created \glqq bad\grqq \ grid. Also this confirms,
|
||||
that in our cases the number of control--points is more important for quality
|
||||
than their placement, which is captured by the variability via the rank of the
|
||||
deformation--matrix.
|
||||
|
||||
\begin{figure}[hbt]
|
||||
\centering
|
||||
\includegraphics[width=0.8\textwidth]{img/evolution3d/variability2_boxplot.png}
|
||||
\caption[Histogram of ranks of high--resolution deformation--matrices]{
|
||||
Histogram of ranks of various $10 \times 10 \times 10$ grids.
|
||||
}
|
||||
\label{fig:histrank3d}
|
||||
\end{figure}
|
||||
|
||||
\begin{figure}[!ht]
|
||||
\includegraphics[width=\textwidth]{img/evolution3d/YxYxY_montage.png}
|
||||
\caption{Results 3D for YxYxY for Y $\in [4,5,6]$}
|
||||
Overall the correlation between variability and fitness--error were
|
||||
*significantly* and showed a *very strong* correlation in all our tests.
|
||||
The detailed correlation--coefficients are given in table \ref{tab:3dvar}
|
||||
alongside their p--values.
|
||||
|
||||
As introduces in section \ref{sec:impl:grid} and visualized in figure
|
||||
\ref{fig:enoughCP}, we know, that not all control points have to necessarily
|
||||
contribute to the parametrization of our 3D--model. Because we are starting from
|
||||
a sphere, some control-points are too far away from the surface to contribute
|
||||
to the deformation at all.
|
||||
|
||||
One can already see in 2D in figure \ref{fig:enoughCP}, that this effect
|
||||
starts with a regular $9 \times 9$ grid on a perfect circle. To make sure we
|
||||
observe this, we evaluated the variability for 100 randomly moved $10 \times 10 \times 10$
|
||||
grids on the sphere we start out with.
|
||||
|
||||
As the variability is defined by $\frac{\mathrm{rank}(\vec{U})}{n}$ we can
|
||||
easily recover the rank of the deformation--matrix $\vec{U}$. The results are
|
||||
shown in the histogram in figure \ref{fig:histrank3d}. Especially in the centre
|
||||
of the sphere and in the corners of our grid we effectively loose
|
||||
control--points for our parametrization.
|
||||
|
||||
This of course yields a worse error as when those control--points would be put
|
||||
to use and one should expect a loss in quality evident by a higher
|
||||
reconstruction--error opposed to a grid where they are used. Sadly we could not
|
||||
run a in--depth test on this due to computational limitations.
|
||||
|
||||
Nevertheless this hints at the notion, that variability is a good measure for
|
||||
the overall quality of a fit.
|
||||
|
||||
### Regularity
|
||||
|
||||
\begin{table}[tbh]
|
||||
\centering
|
||||
\begin{tabular}{c|c|c|c}
|
||||
& $5 \times 4 \times 4$ & $7 \times 4 \times 4$ & $\mathrm{X} \times 4 \times 4$ \\
|
||||
\cline{2-4}
|
||||
& \textcolor{red}{0.15} (0.147) & \textcolor{red}{0.09} (0.37) & 0.46 (0) \B \\
|
||||
\cline{2-4}
|
||||
\multicolumn{4}{c}{} \\[-1.4em]
|
||||
\hline
|
||||
$4 \times 4 \times 4$ & $4 \times 4 \times 5$ & $4 \times 4 \times 7$ & $4 \times 4 \times \mathrm{X}$ \T \\
|
||||
\hline
|
||||
0.38 (0) & \textcolor{red}{0.17} (0.09) & 0.40 (0) & 0.46 (0) \B \\
|
||||
\hline
|
||||
\multicolumn{4}{c}{} \\[-1.4em]
|
||||
\cline{2-4}
|
||||
& $5 \times 5 \times 5$ & $6 \times 6 \times 6$ & $\mathrm{Y} \times \mathrm{Y} \times \mathrm{Y}$ \T \\
|
||||
\cline{2-4}
|
||||
& \textcolor{red}{-0.18} (0.0775) & \textcolor{red}{-0.13} (0.1715) & -0.25 (0) \B \\
|
||||
\cline{2-4}
|
||||
\multicolumn{4}{c}{} \\[-1.4em]
|
||||
\cline{2-4}
|
||||
\multicolumn{3}{c}{} & all: 0.15 (0) \T
|
||||
\end{tabular}
|
||||
\caption[Correlation between regularity and iterations for 3D]{Correlation
|
||||
between regularity and number of iterations for the 3D fitting scenario.
|
||||
Displayed are the negated Spearman coefficients with the corresponding p--values
|
||||
in brackets for various given grids ($\mathrm{X} \in [4,5,7], \mathrm{Y} \in [4,5,6]$).
|
||||
\newline Note: Not significant results are marked in \textcolor{red}{red}.}
|
||||
\label{tab:3dvar}
|
||||
\end{table}
|
||||
|
||||
|
||||
|
||||
Opposed to the predictions of variability our test on regularity gave a mixed
|
||||
result --- similar to the 1D--case.
|
||||
|
||||
In half scenarios we have a *significant*, but *weak* to *moderate* correlation
|
||||
between regularity and number of iterations. On the other hand in the scenarios
|
||||
where we increased the number of control--points, namely $125$ for the
|
||||
$5 \times 5 \times 5$ grid and $216$ for the $6 \times 6 \times 6$ grid we found
|
||||
a *significant*, but *weak* anti--correlation, which seem to contradict the
|
||||
findings/trends for the sets with $64$, $80$, and $112$ control--points (first
|
||||
two rows of table \ref{tab:3dvar}).
|
||||
|
||||
Taking all results together we only find a *very weak*, but *significant* link
|
||||
between regularity and the number of iterations needed for the algorithm to
|
||||
converge.
|
||||
|
||||
\begin{figure}[!htb]
|
||||
\centering
|
||||
\includegraphics[width=\textwidth]{img/evolution3d/regularity_montage.png}
|
||||
\caption[Regularity for different 3D--grids]{
|
||||
**BLINDTEXT**
|
||||
}
|
||||
\label{fig:resreg3d}
|
||||
\end{figure}
|
||||
|
||||
As can be seen from figure \ref{fig:resreg3d}, we can observe\todo{things}.
|
||||
|
||||
### Improvement Potential
|
||||
|
||||
\begin{figure}[!htb]
|
||||
\centering
|
||||
\includegraphics[width=\textwidth]{img/evolution3d/improvement_montage.png}
|
||||
\caption[Improvement potential for different 3D--grids]{
|
||||
**BLINDTEXT**
|
||||
}
|
||||
\label{fig:resimp3d}
|
||||
\end{figure}
|
||||
|
||||
<!--  -->
|
||||
<!-- -->
|
||||
<!--  -->
|
||||
<!-- -->
|
||||
<!--  -->
|
||||
|
||||
# Schluss
|
||||
\label{sec:dis}
|
||||
|
||||
BIN
arbeit/ma.pdf
BIN
arbeit/ma.pdf
Binary file not shown.
617
arbeit/ma.tex
617
arbeit/ma.tex
@ -35,6 +35,7 @@ xcolor=dvipsnames,
|
||||
\setlength{\parskip}{12pt plus6pt minus2pt} % dafür abstand zwischen absäzen
|
||||
% \renewcommand{\familydefault}{\sfdefault}
|
||||
\setstretch{1.5} % 1.5-facher zeilenabstand
|
||||
\renewcommand{\arraystretch}{1.5} % größere Abstände in Tabellen etc.
|
||||
|
||||
%%%%%%%%%%%%%%% Header - Footer %%%%%%%%%%%%%%%
|
||||
% ### Fr 2 Seitig (option twopage):
|
||||
@ -172,7 +173,7 @@ Unless otherwise noted the following holds:
|
||||
Many modern industrial design processes require advanced optimization
|
||||
methods due to the increased complexity resulting from more and more
|
||||
degrees of freedom as methods refine and/or other methods are used.
|
||||
Examples for this are physical domains like aerodynamic (i.e.~drag),
|
||||
Examples for this are physical domains like aerodynamics (i.e.~drag),
|
||||
fluid dynamics (i.e.~throughput of liquid) --- where the complexity
|
||||
increases with the temporal and spatial resolution of the simulation ---
|
||||
or known hard algorithmic problems in informatics (i.e.~layouting of
|
||||
@ -191,7 +192,7 @@ representation (the \emph{genome}) can be challenging.
|
||||
|
||||
This translation is often necessary as the target of the optimization
|
||||
may have too many degrees of freedom. In the example of an aerodynamic
|
||||
simulation of drag onto an object, those objects--designs tend to have a
|
||||
simulation of drag onto an object, those object--designs tend to have a
|
||||
high number of vertices to adhere to various requirements (visual,
|
||||
practical, physical, etc.). A simpler representation of the same object
|
||||
in only a few parameters that manipulate the whole in a sensible matter
|
||||
@ -601,7 +602,7 @@ can be achieved in the given direction.
|
||||
|
||||
The definition for an \emph{improvement potential} \(P\)
|
||||
is\cite{anrichterEvol}: \[
|
||||
P(\vec{U}) := 1 - \|(\vec{1} - \vec{UU}^+)\vec(G)\|^2_F
|
||||
P(\vec{U}) := 1 - \|(\vec{1} - \vec{UU}^+)\vec{G}\|^2_F
|
||||
\] given some approximate \(n \times d\) fitness--gradient \(\vec{G}\),
|
||||
normalized to \(\|\vec{G}\|_F = 1\), whereby \(\|\cdot\|_F\) denotes the
|
||||
Frobenius--Norm.
|
||||
@ -728,6 +729,8 @@ system of linear equations.
|
||||
|
||||
\section{Deformation Grid}\label{deformation-grid}
|
||||
|
||||
\label{sec:impl:grid}
|
||||
|
||||
As mentioned in chapter \ref{sec:back:evo}, the way of choosing the
|
||||
representation to map the general problem (mesh--fitting/optimization in
|
||||
our case) into a parameter-space it very important for the quality and
|
||||
@ -744,6 +747,17 @@ control point without having a \(1:1\)--correlation, and a smooth
|
||||
deformation. While the advantages are great, the issues arise from the
|
||||
problem to decide where to place the control--points and how many.
|
||||
|
||||
\begin{figure}[!tbh]
|
||||
\centering
|
||||
\includegraphics{img/enoughCP.png}
|
||||
\caption[Example of a high resolution control--grid]{A high resolution
|
||||
($10 \times 10$) of control--points over a circle. Yellow/green points
|
||||
contribute to the parametrization, red points don't.\newline
|
||||
An Example--point (blue) is solely determined by the position of the green
|
||||
control--points.}
|
||||
\label{fig:enoughCP}
|
||||
\end{figure}
|
||||
|
||||
One would normally think, that the more control--points you add, the
|
||||
better the result will be, but this is not the case for our B--Splines.
|
||||
Given any point \(p\) only the \(2 \cdot (d-1)\) control--points
|
||||
@ -754,18 +768,6 @@ that a high resolution can have many control-points that are not
|
||||
contributing to any point on the surface and are thus completely
|
||||
irrelevant to the solution.
|
||||
|
||||
\begin{figure}[!ht]
|
||||
\begin{center}
|
||||
\includegraphics{img/enoughCP.png}
|
||||
\end{center}
|
||||
\caption[Example of a high resolution control--grid]{A high resolution
|
||||
($10 \times 10$) of control--points over a circle. Yellow/green points
|
||||
contribute to the parametrization, red points don't.\newline
|
||||
An Example--point (blue) is solely determined by the position of the green
|
||||
control--points.}
|
||||
\label{fig:enoughCP}
|
||||
\end{figure}
|
||||
|
||||
We illustrate this phenomenon in figure \ref{fig:enoughCP}, where the
|
||||
four red central points are not relevant for the parametrization of the
|
||||
circle.
|
||||
@ -805,14 +807,18 @@ In this scenario we used the shape defined by Giannelli et
|
||||
al.\cite{giannelli2012thb}, which is also used by Richter et
|
||||
al.\cite{anrichterEvol} using the same discretization to
|
||||
\(150 \times 150\) points for a total of \(n = 22\,500\) vertices. The
|
||||
shape is given by the following definition \[
|
||||
shape is given by the following definition
|
||||
|
||||
\begin{equation}
|
||||
t(x,y) =
|
||||
\begin{cases}
|
||||
0.5 \cos(4\pi \cdot q^{0.5}) + 0.5 & q(x,y) < \frac{1}{16},\\
|
||||
2(y-x) & 0 < y-x < 0.5,\\
|
||||
1 & 0.5 < y - x
|
||||
\end{cases}
|
||||
\] with \((x,y) \in [0,2] \times [0,1]\) and
|
||||
\end{equation}
|
||||
|
||||
with \((x,y) \in [0,2] \times [0,1]\) and
|
||||
\(q(x,y)=(x-1.5)^2 + (y-0.5)^2\), which we have visualized in figure
|
||||
\ref{fig:1dtarget}.
|
||||
|
||||
@ -831,9 +837,13 @@ already correct.
|
||||
|
||||
Regarding the \emph{fitness--function} \(f(\vec{p})\), we use the very
|
||||
simple approach of calculating the squared distances for each
|
||||
corresponding vertex \[
|
||||
corresponding vertex
|
||||
|
||||
\begin{equation}
|
||||
\textrm{f(\vec{p})} = \sum_{i=1}^{n} \|(\vec{Up})_i - t_i\|_2^2 = \|\vec{Up} - \vec{t}\|^2 \rightarrow \min
|
||||
\] where \(t_i\) are the respective target--vertices to the parametrized
|
||||
\end{equation}
|
||||
|
||||
where \(t_i\) are the respective target--vertices to the parametrized
|
||||
source--vertices\footnote{The parametrization is encoded in \(\vec{U}\)
|
||||
and the initial position of the control points. See
|
||||
\ref{sec:ffd:adapt}} with the current deformation--parameters
|
||||
@ -847,6 +857,120 @@ can compute the analytic solution \(\vec{p^{*}} = \vec{U^+}\vec{t}\),
|
||||
yielding us the correct gradient in which the evolutionary optimizer
|
||||
should move.
|
||||
|
||||
\section{Test Scenario: 3D Function
|
||||
Approximation}\label{test-scenario-3d-function-approximation}
|
||||
|
||||
\label{sec:test:3dfa} Opposed to the 1--dimensional scenario before, the
|
||||
3--dimensional scenario is much more complex --- not only because we
|
||||
have more degrees of freedom on each control point, but also because the
|
||||
\emph{fitness--function} we will use has no known analytic solution and
|
||||
multiple local minima.
|
||||
|
||||
\begin{figure}[ht]
|
||||
\begin{center}
|
||||
\includegraphics[width=0.9\textwidth]{img/3dtarget.png}
|
||||
\end{center}
|
||||
\caption[3D source and target meshes]{\newline
|
||||
Left: The sphere we start from with 10\,807 vertices\newline
|
||||
Right: The face we want to deform the sphere into with 12\,024 vertices.}
|
||||
\label{fig:3dtarget}
|
||||
\end{figure}
|
||||
|
||||
First of all we introduce the set up: We have given a triangulated model
|
||||
of a sphere consisting of \(10\,807\) vertices, that we want to deform
|
||||
into a the target--model of a face with a total of \(12\,024\) vertices.
|
||||
Both of these Models can be seen in figure \ref{fig:3dtarget}.
|
||||
|
||||
Opposed to the 1D--case we cannot map the source and target--vertices in
|
||||
a one--to--one--correspondence, which we especially need for the
|
||||
approximation of the fitting--error. Hence we state that the error of
|
||||
one vertex is the distance to the closest vertex of the other model.
|
||||
|
||||
We therefore define the \emph{fitness--function} to be:
|
||||
|
||||
\begin{equation}
|
||||
f(\vec{P}) = \frac{1}{n} \underbrace{\sum_{i=1}^n \|\vec{c_T(s_i)} -
|
||||
\vec{s_i}\|_2^2}_{\textrm{source-to-target--distance}}
|
||||
+ \frac{1}{m} \underbrace{\sum_{i=1}^m \|\vec{c_S(t_i)} -
|
||||
\vec{t_i}\|_2^2}_{\textrm{target-to-source--distance}}
|
||||
+ \lambda \cdot \textrm{regularization}(\vec{P})
|
||||
\label{eq:fit3d}
|
||||
\end{equation}
|
||||
|
||||
where \(\vec{c_T(s_i)}\) denotes the target--vertex that is
|
||||
corresponding to the source--vertex \(\vec{s_i}\) and \(\vec{c_S(t_i)}\)
|
||||
denotes the source--vertex that corresponds to the target--vertex
|
||||
\(\vec{t_i}\). Note that the target--vertices are given and fixed by the
|
||||
target--model of the face we want to deform into, whereas the
|
||||
source--vertices vary depending on the chosen parameters \(\vec{P}\), as
|
||||
those get calculated by the previously introduces formula
|
||||
\(\vec{S} = \vec{UP}\) with \(\vec{S}\) being the \(n \times 3\)--matrix
|
||||
of source--vertices, \(\vec{U}\) the \(n \times m\)--matrix of
|
||||
calculated coefficients for the \ac{FFD} --- analog to the 1D case ---
|
||||
and finally \(\vec{P}\) being the \(m \times 3\)--matrix of the
|
||||
control--grid defining the whole deformation.
|
||||
|
||||
As regularization-term we add a weighted Laplacian of the deformation
|
||||
that has been used before by Aschenbach et
|
||||
al.\cite[Section 3.2]{aschenbach2015} on similar models and was shown to
|
||||
lead to a more precise fit. The Laplacian
|
||||
|
||||
\begin{equation}
|
||||
\textrm{regularization}(\vec{P}) = \frac{1}{\sum_i A_i} \sum_{i=1}^n A_i \cdot \left( \sum_{\vec{s_j} \in \mathcal{N}(\vec{s_i})} w_j \cdot \|\Delta \vec{s_j} - \Delta \vec{\overline{s}_j}\|^2 \right)
|
||||
\label{eq:reg3d}
|
||||
\end{equation}
|
||||
|
||||
is determined by the cotangent weighted displacement \(w_j\) of the to
|
||||
\(s_i\) connected vertices \(\mathcal{N}(s_i)\) and \(A_i\) is the
|
||||
Voronoi--area of the corresponding vertex \(\vec{s_i}\). We leave out
|
||||
the \(\vec{R}_i\)--term from the original paper as our deformation is
|
||||
merely linear.
|
||||
|
||||
This regularization--weight gives us a measure of stiffness for the
|
||||
material that we will influence via the \(\lambda\)--coefficient to
|
||||
start out with a stiff material that will get more flexible per
|
||||
iteration.
|
||||
\unsure[inline]{Andreas: hast du nen cite, wo gezeigt ist, dass das so sinnvoll ist?}
|
||||
|
||||
\chapter{Evaluation of Scenarios}\label{evaluation-of-scenarios}
|
||||
|
||||
\label{sec:res}
|
||||
|
||||
To compare our results to the ones given by Richter et
|
||||
al.\cite{anrichterEvol}, we also use Spearman's rank correlation
|
||||
coefficient. Opposed to other popular coefficients, like the Pearson
|
||||
correlation coefficient, which measures a linear relationship between
|
||||
variables, the Spearmans's coefficient assesses \glqq how well an
|
||||
arbitrary monotonic function can descripbe the relationship between two
|
||||
variables, without making any assumptions about the frequency
|
||||
distribution of the variables\grqq\cite{hauke2011comparison}.
|
||||
|
||||
As we don't have any prior knowledge if any of the criteria is linear
|
||||
and we are just interested in a monotonic relation between the criteria
|
||||
and their predictive power, the Spearman's coefficient seems to fit out
|
||||
scenario best.
|
||||
|
||||
For interpretation of these values we follow the same interpretation
|
||||
used in \cite{anrichterEvol}, based on \cite{weir2015spearman}: The
|
||||
coefficient intervals \(r_S \in [0,0.2[\), \([0.2,0.4[\), \([0.4,0.6[\),
|
||||
\([0.6,0.8[\), and \([0.8,1]\) are classified as \emph{very weak},
|
||||
\emph{weak}, \emph{moderate}, \emph{strong} and \emph{very strong}. We
|
||||
interpret p--values smaller than \(0.1\) as \emph{significant} and cut
|
||||
off the precision of p--values after four decimal digits (thus often
|
||||
having a p--value of \(0\) given for p--values \(< 10^{-4}\)).
|
||||
|
||||
As we are looking for anti--correlation (i.e.~our criterion should be
|
||||
maximized indicating a minimal result in --- for example --- the
|
||||
reconstruction--error) instead of correlation we flip the sign of the
|
||||
correlation--coefficient for readability and to have the
|
||||
correlation--coefficients be in the classification--range given above.
|
||||
|
||||
For the evolutionary optimization we employ the CMA--ES (covariance
|
||||
matrix adaptation evolution strategy) of the shark3.1 library
|
||||
\cite{shark08}, as this algorithm was used by \cite{anrichterEvol} as
|
||||
well. We leave the parameters at their sensible defaults as further
|
||||
explained in \cite[Appendix~A: Table~1]{hansen2016cma}.
|
||||
|
||||
\section{Procedure: 1D Function
|
||||
Approximation}\label{procedure-1d-function-approximation}
|
||||
|
||||
@ -893,155 +1017,6 @@ neighbours (the smaller neighbour for \(r < 0\), the larger for
|
||||
An Example of such a testcase can be seen for a \(7 \times 4\)--grid in
|
||||
figure \ref{fig:example1d_grid}.
|
||||
|
||||
\section{Test Scenario: 3D Function
|
||||
Approximation}\label{test-scenario-3d-function-approximation}
|
||||
|
||||
Opposed to the 1--dimensional scenario before, the 3--dimensional
|
||||
scenario is much more complex --- not only because we have more degrees
|
||||
of freedom on each control point, but also because the
|
||||
\emph{fitness--function} we will use has no known analytic solution and
|
||||
multiple local minima.
|
||||
|
||||
\begin{figure}[ht]
|
||||
\begin{center}
|
||||
\includegraphics[width=0.7\textwidth]{img/3dtarget.png}
|
||||
\end{center}
|
||||
\caption[3D source and target meshes]{\newline
|
||||
Left: The sphere we start from with 10\,807 vertices\newline
|
||||
Right: The face we want to deform the sphere into with 12\,024 vertices.}
|
||||
\label{fig:3dtarget}
|
||||
\end{figure}
|
||||
|
||||
First of all we introduce the set up: We have given a triangulated model
|
||||
of a sphere consisting of 10,807 vertices, that we want to deform into a
|
||||
the target--model of a face with a total of 12,024 vertices. Both of
|
||||
these Models can be seen in figure \ref{fig:3dtarget}.
|
||||
|
||||
Opposed to the 1D--case we cannot map the source and target--vertices in
|
||||
a one--to--one--correspondence, which we especially need for the
|
||||
approximation of the fitting--error. Hence we state that the error of
|
||||
one vertex is the distance to the closest vertex of the other model.
|
||||
|
||||
We therefore define the \emph{fitness--function} to be: \[
|
||||
f(\vec{P}) = \frac{1}{n} \underbrace{\sum_{i=1}^n \|\vec{c_T(s_i)} -
|
||||
\vec{s_i}\|_2^2}_{\textrm{source-to-target--distance}}
|
||||
+ \frac{1}{m} \underbrace{\sum_{i=1}^m \|\vec{c_S(t_i)} -
|
||||
\vec{t_i}\|_2^2}_{\textrm{target-to-source--distance}}
|
||||
+ \lambda \cdot \textrm{regularization}(\vec{P})
|
||||
\] where \(\vec{c_T(s_i)}\) denotes the target--vertex that is
|
||||
corresponding to the source--vertex \(\vec{s_i}\) and \(\vec{c_S(t_i)}\)
|
||||
denotes the source--vertex that corresponds to the target--vertex
|
||||
\(\vec{t_i}\). Note that the target--vertices are given and fixed by the
|
||||
target--model of the face we want to deform into, whereas the
|
||||
source--vertices vary depending on the chosen parameters \(\vec{P}\), as
|
||||
those get calculated by the previously introduces formula
|
||||
\(\vec{S} = \vec{UP}\) with \(\vec{S}\) being the \(n \times 3\)--matrix
|
||||
of source--vertices, \(\vec{U}\) the \(n \times m\)--matrix of
|
||||
calculated coefficients for the \ac{FFD} --- analog to the 1D case ---
|
||||
and finally \(\vec{P}\) being the \(m \times 3\)--matrix of the
|
||||
control--grid defining the whole deformation.
|
||||
|
||||
As regularization-term we add a weighted Laplacian of the deformation
|
||||
that has been used before by Aschenbach et
|
||||
al.\cite[Section 3.2]{aschenbach2015} on similar models and was shown to
|
||||
lead to a more precise fit. The Laplacian \[
|
||||
\textrm{regularization}(\vec{P}) = \frac{1}{\sum_i A_i} \sum_{i=1}^n A_i \cdot \left( \sum_{\vec{s_j} \in \mathcal{N}(\vec{s_i})} w_j \cdot \|\Delta \vec{s_j} - \Delta \vec{\overline{s}_j}\|^2 \right)
|
||||
\] is determined by the cotangent weighted displacement \(w_j\) of the
|
||||
to \(s_i\) connected vertices \(\mathcal{N}(s_i)\) and \(A_i\) is the
|
||||
Voronoi--area of the corresponding vertex \(\vec{s_i}\). We leave out
|
||||
the \(\vec{R}_i\)--term from the original paper as our deformation is
|
||||
merely linear.
|
||||
|
||||
This regularization--weight gives us a measure of stiffness for the
|
||||
material that we will influence via the \(\lambda\)--coefficient to
|
||||
start out with a stiff material that will get more flexible per
|
||||
iteration.
|
||||
\unsure[inline]{Andreas: hast du nen cite, wo gezeigt ist, dass das so sinnvoll ist?}
|
||||
|
||||
\section{Procedure: 3D Function
|
||||
Approximation}\label{procedure-3d-function-approximation}
|
||||
|
||||
Initially we set up the correspondences \(\vec{c_T(\dots)}\) and
|
||||
\(\vec{c_S(\dots)}\) to be the respectively closest vertices of the
|
||||
other model. We then calculate the analytical solution given these
|
||||
correspondences via \(\vec{P^{*}} = \vec{U^+}\vec{T}\), and also use the
|
||||
first solution as guessed gradient for the calculation of the
|
||||
\emph{improvement--potential}, as the optimal solution is not known. We
|
||||
then let the evolutionary algorithm run up within \(1.05\) times the
|
||||
error of this solution and afterwards recalculate the correspondences
|
||||
\(\vec{c_T(\dots)}\) and \(\vec{c_S(\dots)}\). For the next step we then
|
||||
halve the regularization--impact \(\lambda\) and calculate the next
|
||||
incremental solution \(\vec{P^{*}} = \vec{U^+}\vec{T}\) with the updated
|
||||
correspondences to get our next target--error. We repeat this process as
|
||||
long as the target--error keeps decreasing.
|
||||
|
||||
\begin{figure}[ht]
|
||||
\begin{center}
|
||||
\includegraphics[width=\textwidth]{img/example3d_grid.png}
|
||||
\end{center}
|
||||
\caption[Example of a 3D--grid]{\newline Left: The 3D--setup with a $4\times
|
||||
4\times 4$--grid.\newline Right: The same grid after added noise to the
|
||||
control--points.}
|
||||
\label{fig:setup3d}
|
||||
\end{figure}
|
||||
|
||||
The grid we use for our experiments is just very coarse due to
|
||||
computational limitations. We are not interested in a good
|
||||
reconstruction, but an estimate if the mentioned evolvability criteria
|
||||
are good.
|
||||
|
||||
In figure \ref{fig:setup3d} we show an example setup of the scene with a
|
||||
\(4\times 4\times 4\)--grid. Identical to the 1--dimensional scenario
|
||||
before, we create a regular grid and move the control-points uniformly
|
||||
random between their neighbours, but in three instead of two
|
||||
dimensions\footnote{Again, we flip the signs for the edges, if necessary
|
||||
to have the object still in the convex hull.}.
|
||||
|
||||
As is clearly visible from figure \ref{fig:3dtarget}, the target--model
|
||||
has many vertices in the facial area, at the ears and in the
|
||||
neck--region. Therefore we chose to increase the grid-resolutions for
|
||||
our tests in two different dimensions and see how well the criteria
|
||||
predict a suboptimal placement of these control-points.
|
||||
|
||||
\chapter{Evaluation of Scenarios}\label{evaluation-of-scenarios}
|
||||
|
||||
\label{sec:res}
|
||||
|
||||
To compare our results to the ones given by Richter et
|
||||
al.\cite{anrichterEvol}, we also use Spearman's rank correlation
|
||||
coefficient. Opposed to other popular coefficients, like the Pearson
|
||||
correlation coefficient, which measures a linear relationship between
|
||||
variables, the Spearmans's coefficient assesses \glqq how well an
|
||||
arbitrary monotonic function can descripbe the relationship between two
|
||||
variables, without making any assumptions about the frequency
|
||||
distribution of the variables\grqq\cite{hauke2011comparison}.
|
||||
|
||||
As we don't have any prior knowledge if any of the criteria is linear
|
||||
and we are just interested in a monotonic relation between the criteria
|
||||
and their predictive power, the Spearman's coefficient seems to fit out
|
||||
scenario best.
|
||||
|
||||
For interpretation of these values we follow the same interpretation
|
||||
used in \cite{anrichterEvol}, based on \cite{weir2015spearman}: The
|
||||
coefficient intervals \(r_S \in [0,0.2[\), \([0.2,0.4[\), \([0.4,0.6[\),
|
||||
\([0.6,0.8[\), and \([0.8,1]\) are classified as \emph{very weak},
|
||||
\emph{weak}, \emph{moderate}, \emph{strong} and \emph{very strong}. We
|
||||
interpret p--values smaller than \(0.1\) as \emph{significant} and cut
|
||||
off the precision of p--values after four decimal digits (thus often
|
||||
having a p--value of \(0\) given for p--values \(< 10^{-4}\)).
|
||||
|
||||
As we are looking for anti--correlation (i.e.~our criterion should be
|
||||
maximized indicating a minimal result in --- for example --- the
|
||||
reconstruction--error) instead of correlation we flip the sign of the
|
||||
correlation--coefficient for readability and to have the
|
||||
correlation--coefficients be in the classification--range given above.
|
||||
|
||||
For the evolutionary optimization we employ the CMA--ES (covariance
|
||||
matrix adaptation evolution strategy) of the shark3.1 library
|
||||
\cite{shark08}, as this algorithm was used by \cite{anrichterEvol} as
|
||||
well. We leave the parameters at their sensible defaults as further
|
||||
explained in \cite[Appendix~A: Table~1]{hansen2016cma}.
|
||||
|
||||
\section{Results of 1D Function
|
||||
Approximation}\label{results-of-1d-function-approximation}
|
||||
|
||||
@ -1072,7 +1047,7 @@ resolution of the grid by taking a closer look at \(5 \times 5\),
|
||||
\caption[1D Fitting Errors for various grids]{The squared error for the various
|
||||
grids we examined.\newline
|
||||
Note that $7 \times 4$ and $4 \times 7$ have the same number of control--points.}
|
||||
\label{fig:1dfiterr}
|
||||
\label{fig:1dvar}
|
||||
\end{figure}
|
||||
|
||||
\subsection{Variability}\label{variability-1}
|
||||
@ -1083,7 +1058,7 @@ deformation matrix \(\vec{U}\):
|
||||
\(V(\vec{U}) := \frac{\textrm{rank}(\vec{U})}{n}\), whereby \(n\) is the
|
||||
number of vertices. As all our tested matrices had a constant rank
|
||||
(being \(m = x \cdot y\) for a \(x \times y\) grid), we have merely
|
||||
plotted the errors in the boxplot in figure \ref{fig:1dfiterr}
|
||||
plotted the errors in the boxplot in figure \ref{fig:1dvar}
|
||||
|
||||
It is also noticeable, that although the \(7 \times 4\) and
|
||||
\(4 \times 7\) grids have a higher variability, they perform not better
|
||||
@ -1102,21 +1077,6 @@ variability and the evolutionary error.
|
||||
|
||||
\subsection{Regularity}\label{regularity-1}
|
||||
|
||||
\begin{table}[bht]
|
||||
\centering
|
||||
\begin{tabular}{c|c|c|c|c}
|
||||
$5 \times 5$ & $7 \times 4$ & $4 \times 7$ & $7 \times 7$ & $10 \times 10$\\
|
||||
\hline
|
||||
$0.28$ ($0.0045$) & \textcolor{red}{$0.21$} ($0.0396$) & \textcolor{red}{$0.1$} ($0.3019$) & \textcolor{red}{$0.01$} ($0.9216$) & \textcolor{red}{$0.01$} ($0.9185$)
|
||||
\end{tabular}
|
||||
\caption[Correlation 1D Regularity/Steps]{Spearman's correlation (and p-values)
|
||||
between regularity and convergence speed for the 1D function approximation
|
||||
problem.\newline
|
||||
Not significant entries are marked in red.
|
||||
}
|
||||
\label{tab:1dreg}
|
||||
\end{table}
|
||||
|
||||
\begin{figure}[ht]
|
||||
\centering
|
||||
\includegraphics[width=\textwidth]{img/evolution1d/55_to_1010_steps.png}
|
||||
@ -1128,6 +1088,21 @@ dataset.}
|
||||
\label{fig:1dreg}
|
||||
\end{figure}
|
||||
|
||||
\begin{table}[b]
|
||||
\centering
|
||||
\begin{tabular}{c|c|c|c|c}
|
||||
$5 \times 5$ & $7 \times 4$ & $4 \times 7$ & $7 \times 7$ & $10 \times 10$\\
|
||||
\hline
|
||||
$0.28$ ($0.0045$) & \textcolor{red}{$0.21$} ($0.0396$) & \textcolor{red}{$0.1$} ($0.3019$) & \textcolor{red}{$0.01$} ($0.9216$) & \textcolor{red}{$0.01$} ($0.9185$)
|
||||
\end{tabular}
|
||||
\caption[Correlation 1D Regularity/Steps]{Spearman's correlation (and p-values)
|
||||
between regularity and convergence speed for the 1D function approximation
|
||||
problem.
|
||||
\newline Note: Not significant results are marked in \textcolor{red}{red}.
|
||||
}
|
||||
\label{tab:1dreg}
|
||||
\end{table}
|
||||
|
||||
Regularity should correspond to the convergence speed (measured in
|
||||
iteration--steps of the evolutionary algorithm), and is computed as
|
||||
inverse condition number \(\kappa(\vec{U})\) of the deformation--matrix.
|
||||
@ -1145,17 +1120,12 @@ improvement-potential against the steps next to the regularity--plot.
|
||||
Our theory is that the \emph{very strong} correlation
|
||||
(\(-r_S = -0.82, p=0\)) between improvement--potential and number of
|
||||
iterations hints that the employed algorithm simply takes longer to
|
||||
converge on a better solution (as seen in figure \ref{fig:1dimp})
|
||||
offsetting any gain the regularity--measurement could achieve.
|
||||
converge on a better solution (as seen in figure \ref{fig:1dvar} and
|
||||
\ref{fig:1dimp}) offsetting any gain the regularity--measurement could
|
||||
achieve.
|
||||
|
||||
\subsection{Improvement Potential}\label{improvement-potential-1}
|
||||
|
||||
\begin{itemize}
|
||||
\tightlist
|
||||
\item
|
||||
Alle Spearman 1 und p-value 0.
|
||||
\end{itemize}
|
||||
|
||||
\begin{figure}[ht]
|
||||
\centering
|
||||
\includegraphics[width=0.8\textwidth]{img/evolution1d/55_to_1010_improvement-vs-evo-error.png}
|
||||
@ -1165,22 +1135,265 @@ grid--resolutions}
|
||||
\label{fig:1dimp}
|
||||
\end{figure}
|
||||
|
||||
\improvement[inline]{write something about it..}
|
||||
|
||||
\begin{itemize}
|
||||
\tightlist
|
||||
\item
|
||||
spearman 1 (p=0)
|
||||
\item
|
||||
gradient macht keinen unterschied
|
||||
\item
|
||||
\(UU^+\) scheint sehr kleine EW zu haben, s. regularität
|
||||
\item
|
||||
trotzdem sehr gutes kriterium - auch ohne Richtung.
|
||||
\end{itemize}
|
||||
|
||||
\section{Procedure: 3D Function
|
||||
Approximation}\label{procedure-3d-function-approximation}
|
||||
|
||||
\label{sec:proc:3dfa}
|
||||
|
||||
As explained in section \ref{sec:test:3dfa} in detail, we do not know
|
||||
the analytical solution to the global optimum. Additionally we have the
|
||||
problem of finding the right correspondences between the original
|
||||
sphere--model and the target--model, as they consist of \(10\,807\) and
|
||||
\(12\,024\) vertices respectively, so we cannot make a
|
||||
one--to--one--correspondence between them as we did in the
|
||||
one--dimensional case.
|
||||
|
||||
Initially we set up the correspondences \(\vec{c_T(\dots)}\) and
|
||||
\(\vec{c_S(\dots)}\) to be the respectively closest vertices of the
|
||||
other model. We then calculate the analytical solution given these
|
||||
correspondences via \(\vec{P^{*}} = \vec{U^+}\vec{T}\), and also use the
|
||||
first solution as guessed gradient for the calculation of the
|
||||
\emph{improvement--potential}, as the optimal solution is not known. We
|
||||
then let the evolutionary algorithm run up within \(1.05\) times the
|
||||
error of this solution and afterwards recalculate the correspondences
|
||||
\(\vec{c_T(\dots)}\) and \(\vec{c_S(\dots)}\).
|
||||
|
||||
\begin{figure}[ht]
|
||||
\begin{center}
|
||||
\includegraphics[width=\textwidth]{img/example3d_grid.png}
|
||||
\end{center}
|
||||
\caption[Example of a 3D--grid]{\newline Left: The 3D--setup with a $4\times
|
||||
4\times 4$--grid.\newline Right: The same grid after added noise to the
|
||||
control--points.}
|
||||
\label{fig:setup3d}
|
||||
\end{figure}
|
||||
|
||||
For the next step we then halve the regularization--impact \(\lambda\)
|
||||
(starting at \(1\)) of our \emph{fitness--function} (\ref{eq:fit3d}) and
|
||||
calculate the next incremental solution
|
||||
\(\vec{P^{*}} = \vec{U^+}\vec{T}\) with the updated correspondences to
|
||||
get our next target--error. We repeat this process as long as the
|
||||
target--error keeps decreasing and use the number of these iterations as
|
||||
measure of the convergence speed. As the resulting evolutional error
|
||||
without regularization is in the numeric range of \(\approx 100\),
|
||||
whereas the regularization is numerically \(\approx 7000\) we need at
|
||||
least \(10\) to \(15\) iterations until the regularization--effect wears
|
||||
off.
|
||||
|
||||
The grid we use for our experiments is just very coarse due to
|
||||
computational limitations. We are not interested in a good
|
||||
reconstruction, but an estimate if the mentioned evolvability criteria
|
||||
are good.
|
||||
|
||||
In figure \ref{fig:setup3d} we show an example setup of the scene with a
|
||||
\(4\times 4\times 4\)--grid. Identical to the 1--dimensional scenario
|
||||
before, we create a regular grid and move the control-points \todo{wie?}
|
||||
random between their neighbours, but in three instead of two
|
||||
dimensions\footnote{Again, we flip the signs for the edges, if necessary
|
||||
to have the object still in the convex hull.}.
|
||||
|
||||
\begin{figure}[!htb]
|
||||
\includegraphics[width=\textwidth]{img/3d_grid_resolution.png}
|
||||
\caption[Different resolution of 3D grids]{\newline
|
||||
Left: A $7 \times 4 \times 4$ grid suited to better deform into facial
|
||||
features.\newline
|
||||
Right: A $4 \times 4 \times 7$ grid that we expect to perform worse.}
|
||||
\label{fig:3dgridres}
|
||||
\end{figure}
|
||||
|
||||
As is clearly visible from figure \ref{fig:3dgridres}, the target--model
|
||||
has many vertices in the facial area, at the ears and in the
|
||||
neck--region. Therefore we chose to increase the grid-resolutions for
|
||||
our tests in two different dimensions and see how well the criteria
|
||||
predict a suboptimal placement of these control-points.
|
||||
|
||||
\section{Results of 3D Function
|
||||
Approximation}\label{results-of-3d-function-approximation}
|
||||
|
||||
\begin{figure}[!ht]
|
||||
\includegraphics[width=\textwidth]{img/evolution3d/4x4xX_montage.png}
|
||||
\caption{Results 3D for 4x4xX}
|
||||
In the 3D--Approximation we tried to evaluate further on the impact of
|
||||
the grid--layout to the overall criteria. As the target--model has many
|
||||
vertices in concentrated in the facial area we start from a
|
||||
\(4 \times 4 \times 4\) grid and only increase the number of control
|
||||
points in one dimension, yielding a resolution of
|
||||
\(7 \times 4 \times 4\) and \(4 \times 4 \times 7\) respectively. We
|
||||
visualized those two grids in figure \ref{fig:3dgridres}.
|
||||
|
||||
To evaluate the performance of the evolvability--criteria we also tested
|
||||
a more neutral resolution of \(4 \times 4 \times 4\),
|
||||
\(5 \times 5 \times 5\), and \(6 \times 6 \times 6\) --- similar to the
|
||||
1D--setup.
|
||||
|
||||
\begin{figure}[ht]
|
||||
\centering
|
||||
\includegraphics[width=0.7\textwidth]{img/evolution3d/variability_boxplot.png}
|
||||
\caption[3D Fitting Errors for various grids]{The fitting error for the various
|
||||
grids we examined.\newline
|
||||
Note that the number of control--points is a product of the resolution, so $X
|
||||
\times 4 \times 4$ and $4 \times 4 \times X$ have the same number of
|
||||
control--points.}
|
||||
\label{fig:3dvar}
|
||||
\end{figure}
|
||||
|
||||
\begin{figure}[!ht]
|
||||
\includegraphics[width=\textwidth]{img/evolution3d/Xx4x4_montage.png}
|
||||
\caption{Results 3D for Xx4x4}
|
||||
\subsection{Variability}\label{variability-2}
|
||||
|
||||
\begin{table}[tbh]
|
||||
\centering
|
||||
\begin{tabular}{c|c|c|c}
|
||||
$4 \times 4 \times \mathrm{X}$ & $\mathrm{X} \times 4 \times 4$ & $\mathrm{Y} \times \mathrm{Y} \times \mathrm{Y}$ & all \\
|
||||
\hline
|
||||
0.89 (0) & 0.9 (0) & 0.91 (0) & 0.94 (0)
|
||||
\end{tabular}
|
||||
\caption[Correlation between variability and fitting error for 3D]{Correlation
|
||||
between variability and fitting error for the 3D fitting scenario.\newline
|
||||
Displayed are the negated Spearman coefficients with the corresponding p-values
|
||||
in brackets for three cases of increasing variability ($\mathrm{X} \in [4,5,7],
|
||||
\mathrm{Y} \in [4,5,6]$).
|
||||
\newline Note: Not significant results are marked in \textcolor{red}{red}.}
|
||||
\label{tab:3dvar}
|
||||
\end{table}
|
||||
|
||||
Similar to the 1D case all our tested matrices had a constant rank
|
||||
(being \(m = x \cdot y \cdot z\) for a \(x \times y \times z\) grid), so
|
||||
we again have merely plotted the errors in the boxplot in figure
|
||||
\ref{fig:3dvar}.
|
||||
|
||||
As expected the \(\mathrm{X} \times 4 \times 4\) grids performed
|
||||
slightly better than their \(4 \times 4 \times \mathrm{X}\) counterparts
|
||||
with a mean\(\pm\)sigma of \(101.25 \pm 7.45\) to \(102.89 \pm 6.74\)
|
||||
for \(\mathrm{X} = 5\) and \(85.37 \pm 7.12\) to \(89.22 \pm 6.49\) for
|
||||
\(\mathrm{X} = 7\).
|
||||
|
||||
Interestingly both variants end up closer in terms of fitting error than
|
||||
we anticipated, which shows that the evolutionary algorithm we employed
|
||||
is capable of correcting a purposefully created \glqq bad\grqq ~grid.
|
||||
Also this confirms, that in our cases the number of control--points is
|
||||
more important for quality than their placement, which is captured by
|
||||
the variability via the rank of the deformation--matrix.
|
||||
|
||||
\begin{figure}[hbt]
|
||||
\centering
|
||||
\includegraphics[width=0.8\textwidth]{img/evolution3d/variability2_boxplot.png}
|
||||
\caption[Histogram of ranks of high--resolution deformation--matrices]{
|
||||
Histogram of ranks of various $10 \times 10 \times 10$ grids.
|
||||
}
|
||||
\label{fig:histrank3d}
|
||||
\end{figure}
|
||||
|
||||
\begin{figure}[!ht]
|
||||
\includegraphics[width=\textwidth]{img/evolution3d/YxYxY_montage.png}
|
||||
\caption{Results 3D for YxYxY for Y $\in [4,5,6]$}
|
||||
Overall the correlation between variability and fitness--error were
|
||||
\emph{significantly} and showed a \emph{very strong} correlation in all
|
||||
our tests. The detailed correlation--coefficients are given in table
|
||||
\ref{tab:3dvar} alongside their p--values.
|
||||
|
||||
As introduces in section \ref{sec:impl:grid} and visualized in figure
|
||||
\ref{fig:enoughCP}, we know, that not all control points have to
|
||||
necessarily contribute to the parametrization of our 3D--model. Because
|
||||
we are starting from a sphere, some control-points are too far away from
|
||||
the surface to contribute to the deformation at all.
|
||||
|
||||
One can already see in 2D in figure \ref{fig:enoughCP}, that this effect
|
||||
starts with a regular \(9 \times 9\) grid on a perfect circle. To make
|
||||
sure we observe this, we evaluated the variability for 100 randomly
|
||||
moved \(10 \times 10 \times 10\) grids on the sphere we start out with.
|
||||
|
||||
As the variability is defined by \(\frac{\mathrm{rank}(\vec{U})}{n}\) we
|
||||
can easily recover the rank of the deformation--matrix \(\vec{U}\). The
|
||||
results are shown in the histogram in figure \ref{fig:histrank3d}.
|
||||
Especially in the centre of the sphere and in the corners of our grid we
|
||||
effectively loose control--points for our parametrization.
|
||||
|
||||
This of course yields a worse error as when those control--points would
|
||||
be put to use and one should expect a loss in quality evident by a
|
||||
higher reconstruction--error opposed to a grid where they are used.
|
||||
Sadly we could not run a in--depth test on this due to computational
|
||||
limitations.
|
||||
|
||||
Nevertheless this hints at the notion, that variability is a good
|
||||
measure for the overall quality of a fit.
|
||||
|
||||
\subsection{Regularity}\label{regularity-2}
|
||||
|
||||
\begin{table}[tbh]
|
||||
\centering
|
||||
\begin{tabular}{c|c|c|c}
|
||||
& $5 \times 4 \times 4$ & $7 \times 4 \times 4$ & $\mathrm{X} \times 4 \times 4$ \\
|
||||
\cline{2-4}
|
||||
& \textcolor{red}{0.15} (0.147) & \textcolor{red}{0.09} (0.37) & 0.46 (0) \B \\
|
||||
\cline{2-4}
|
||||
\multicolumn{4}{c}{} \\[-1.4em]
|
||||
\hline
|
||||
$4 \times 4 \times 4$ & $4 \times 4 \times 5$ & $4 \times 4 \times 7$ & $4 \times 4 \times \mathrm{X}$ \T \\
|
||||
\hline
|
||||
0.38 (0) & \textcolor{red}{0.17} (0.09) & 0.40 (0) & 0.46 (0) \B \\
|
||||
\hline
|
||||
\multicolumn{4}{c}{} \\[-1.4em]
|
||||
\cline{2-4}
|
||||
& $5 \times 5 \times 5$ & $6 \times 6 \times 6$ & $\mathrm{Y} \times \mathrm{Y} \times \mathrm{Y}$ \T \\
|
||||
\cline{2-4}
|
||||
& \textcolor{red}{-0.18} (0.0775) & \textcolor{red}{-0.13} (0.1715) & -0.25 (0) \B \\
|
||||
\cline{2-4}
|
||||
\multicolumn{4}{c}{} \\[-1.4em]
|
||||
\cline{2-4}
|
||||
\multicolumn{3}{c}{} & all: 0.15 (0) \T
|
||||
\end{tabular}
|
||||
\caption[Correlation between regularity and iterations for 3D]{Correlation
|
||||
between regularity and number of iterations for the 3D fitting scenario.
|
||||
Displayed are the negated Spearman coefficients with the corresponding p--values
|
||||
in brackets for various given grids ($\mathrm{X} \in [4,5,7], \mathrm{Y} \in [4,5,6]$).
|
||||
\newline Note: Not significant results are marked in \textcolor{red}{red}.}
|
||||
\label{tab:3dvar}
|
||||
\end{table}
|
||||
|
||||
Opposed to the predictions of variability our test on regularity gave a
|
||||
mixed result --- similar to the 1D--case.
|
||||
|
||||
In half scenarios we have a \emph{significant}, but \emph{weak} to
|
||||
\emph{moderate} correlation between regularity and number of iterations.
|
||||
On the other hand in the scenarios where we increased the number of
|
||||
control--points, namely \(125\) for the \(5 \times 5 \times 5\) grid and
|
||||
\(216\) for the \(6 \times 6 \times 6\) grid we found a
|
||||
\emph{significant}, but \emph{weak} anti--correlation, which seem to
|
||||
contradict the findings/trends for the sets with \(64\), \(80\), and
|
||||
\(112\) control--points (first two rows of table \ref{tab:3dvar}).
|
||||
|
||||
Taking all results together we only find a \emph{very weak}, but
|
||||
\emph{significant} link between regularity and the number of iterations
|
||||
needed for the algorithm to converge.
|
||||
|
||||
\begin{figure}[!htb]
|
||||
\centering
|
||||
\includegraphics[width=\textwidth]{img/evolution3d/regularity_montage.png}
|
||||
\caption[Regularity for different 3D--grids]{
|
||||
**BLINDTEXT**
|
||||
}
|
||||
\label{fig:resreg3d}
|
||||
\end{figure}
|
||||
|
||||
As can be seen from figure \ref{fig:resreg3d}, we can
|
||||
observe\todo{things}.
|
||||
|
||||
\subsection{Improvement Potential}\label{improvement-potential-2}
|
||||
|
||||
\begin{figure}[!htb]
|
||||
\centering
|
||||
\includegraphics[width=\textwidth]{img/evolution3d/improvement_montage.png}
|
||||
\caption[Improvement potential for different 3D--grids]{
|
||||
**BLINDTEXT**
|
||||
}
|
||||
\label{fig:resimp3d}
|
||||
\end{figure}
|
||||
|
||||
\chapter{Schluss}\label{schluss}
|
||||
|
||||
@ -95,6 +95,9 @@
|
||||
% % \renewcommand{\arraystretch}{1.2} % Tabellenzeilen ein bischen h?her machen.
|
||||
% \newcommand\m[2]{\multirow{#1}{*}{$#2$}}
|
||||
|
||||
\newcommand\T{\rule{0pt}{2.6ex}} % Top strut
|
||||
\newcommand\B{\rule[-1.2ex]{0pt}{0pt}} % Bottom strut
|
||||
|
||||
% ##### Text symbole #####
|
||||
% \newcommand\subdot[1]{\lower0.5em\hbox{$\stackrel{\displaystyle #1}{.}$}}
|
||||
% \newcommand\subsubdot[1]{\lower0.5em\hbox{$\stackrel{#1}{.}$}}
|
||||
|
||||
@ -35,6 +35,7 @@ xcolor=dvipsnames,
|
||||
\setlength{\parskip}{12pt plus6pt minus2pt} % dafür abstand zwischen absäzen
|
||||
% \renewcommand{\familydefault}{\sfdefault}
|
||||
\setstretch{1.5} % 1.5-facher zeilenabstand
|
||||
\renewcommand{\arraystretch}{1.5} % größere Abstände in Tabellen etc.
|
||||
|
||||
%%%%%%%%%%%%%%% Header - Footer %%%%%%%%%%%%%%%
|
||||
% ### Fr 2 Seitig (option twopage):
|
||||
|
||||
@ -1,101 +1,101 @@
|
||||
regularity,variability,improvement,"Evolution error",steps
|
||||
6.57581e-05,0.00592209,0.622392,113.016.,2368
|
||||
5.16451e-05,0.00592209,0.610293,118.796.,2433
|
||||
6.45083e-05,0.00592209,0.592139,127.157.,1655
|
||||
7.14801e-05,0.00592209,0.624039,121.613.,1933
|
||||
5.62707e-05,0.00592209,0.611091,119.539.,2618
|
||||
5.55953e-05,0.00592209,0.625812,119.512.,2505
|
||||
5.96026e-05,0.00592209,0.622873,118.285.,1582
|
||||
6.63676e-05,0.00592209,0.602386,126.579.,2214
|
||||
5.93125e-05,0.00592209,0.608913,122.512.,2262
|
||||
6.05066e-05,0.00592209,0.621467,118.473.,2465
|
||||
6.42976e-05,0.00592209,0.602593,121.998.,2127
|
||||
5.32868e-05,0.00592209,0.616501,115.313.,2746
|
||||
5.47856e-05,0.00592209,0.615173,118.034.,2148
|
||||
6.47209e-05,0.00592209,0.603935,120.003.,2304
|
||||
7.07812e-05,0.00592209,0.620422,123.494.,1941
|
||||
6.49313e-05,0.00592209,0.616232,122.989.,2214
|
||||
6.64295e-05,0.00592209,0.605206,123.757.,1675
|
||||
5.88806e-05,0.00592209,0.628055,110.67.,2230
|
||||
7.56461e-05,0.00592209,0.625361,121.232.,2187
|
||||
4.932e-05,0.00592209,0.612261,120.979.,2280
|
||||
5.45998e-05,0.00592209,0.61935,115.394.,2380
|
||||
6.10654e-05,0.00592209,0.614029,116.928.,2327
|
||||
6.09488e-05,0.00592209,0.611892,125.294.,1609
|
||||
5.85691e-05,0.00592209,0.632686,111.635.,2831
|
||||
6.87292e-05,0.00592209,0.61519,114.681.,2565
|
||||
6.53377e-05,0.00592209,0.627408,111.935.,2596
|
||||
6.98345e-05,0.00592209,0.616158,111.392.,2417
|
||||
7.90547e-05,0.00592209,0.620575,115.346.,2031
|
||||
6.50231e-05,0.00592209,0.625725,119.055.,1842
|
||||
6.76541e-05,0.00592209,0.625399,117.452.,1452
|
||||
5.72222e-05,0.00592209,0.614171,123.379.,2186
|
||||
7.42483e-05,0.00592209,0.624683,115.053.,2236
|
||||
6.9354e-05,0.00592209,0.619596,123.994.,1688
|
||||
5.75478e-05,0.00592209,0.605051,118.576.,1930
|
||||
6.01309e-05,0.00592209,0.617511,116.894.,2184
|
||||
6.69251e-05,0.00592209,0.608408,120.129.,2007
|
||||
4.66926e-05,0.00592209,0.60606,126.708.,1552
|
||||
4.90102e-05,0.00592209,0.618673,114.595.,2783
|
||||
5.51505e-05,0.00592209,0.619245,120.056.,2463
|
||||
6.1007e-05,0.00592209,0.605215,122.057.,1493
|
||||
5.04717e-05,0.00592209,0.623503,116.846.,2620
|
||||
6.3578e-05,0.00592209,0.625261,124.35.,2193
|
||||
5.8875e-05,0.00592209,0.624526,118.43.,2502
|
||||
7.95299e-05,0.00592209,0.611719,116.574.,1849
|
||||
6.42733e-05,0.00592209,0.608178,128.474.,2078
|
||||
6.41674e-05,0.00592209,0.624042,111.111.,2037
|
||||
4.88661e-05,0.00592209,0.615408,120.004.,2627
|
||||
7.27714e-05,0.00592209,0.626926,119.866.,2128
|
||||
4.84641e-05,0.00592209,0.608054,119.676.,2408
|
||||
6.66562e-05,0.00592209,0.603902,128.957.,1668
|
||||
5.99872e-05,0.00592209,0.63676,108.467.,3448
|
||||
7.73127e-05,0.00592209,0.62232,123.353.,1551
|
||||
6.67597e-05,0.00592209,0.621411,123.301.,2180
|
||||
5.2819e-05,0.00592209,0.617515,114.838.,4096
|
||||
5.29257e-05,0.00592209,0.622611,118.611.,1973
|
||||
5.35212e-05,0.00592209,0.62533,109.616.,3424
|
||||
7.1947e-05,0.00592209,0.632331,113.565.,2905
|
||||
5.04311e-05,0.00592209,0.611559,120.01.,2147
|
||||
6.57161e-05,0.00592209,0.617789,125.441.,1820
|
||||
5.18695e-05,0.00592209,0.610402,122.541.,2430
|
||||
6.47262e-05,0.00592209,0.609141,123.169.,1989
|
||||
5.87925e-05,0.00592209,0.61627,117.344.,2143
|
||||
4.36904e-05,0.00592209,0.631954,112.674.,3526
|
||||
6.45195e-05,0.00592209,0.614402,118.787.,1765
|
||||
5.8354e-05,0.00592209,0.615515,112.061.,2368
|
||||
7.14669e-05,0.00592209,0.628382,110.262.,1923
|
||||
7.24908e-05,0.00592209,0.610848,116.504.,1830
|
||||
5.98617e-05,0.00592209,0.622949,109.607.,3609
|
||||
5.90411e-05,0.00592209,0.629175,122.198.,1859
|
||||
5.25569e-05,0.00592209,0.621253,124.527.,1876
|
||||
5.86979e-05,0.00592209,0.612603,120.886.,2916
|
||||
4.73113e-05,0.00592209,0.610586,119.176.,2072
|
||||
5.8777e-05,0.00592209,0.62863,121.081.,2338
|
||||
5.6608e-05,0.00592209,0.617215,121.038.,3021
|
||||
5.74614e-05,0.00592209,0.626088,112.392.,2182
|
||||
6.86466e-05,0.00592209,0.631893,121.148.,2246
|
||||
4.77969e-05,0.00592209,0.635218,117.053.,2939
|
||||
5.50553e-05,0.00592209,0.610707,123.651.,1417
|
||||
6.89628e-05,0.00592209,0.638474,128.446.,1840
|
||||
6.85622e-05,0.00592209,0.620769,115.527.,2116
|
||||
5.28017e-05,0.00592209,0.614948,121.456.,2178
|
||||
7.06916e-05,0.00592209,0.61804,127.418.,2354
|
||||
6.81788e-05,0.00592209,0.616056,113.541.,2768
|
||||
7.89711e-05,0.00592209,0.615108,116.805.,2293
|
||||
5.84297e-05,0.00592209,0.612733,123.244.,2206
|
||||
5.53374e-05,0.00592209,0.605062,123.095.,1902
|
||||
5.51739e-05,0.00592209,0.631543,115.9.,3145
|
||||
6.9413e-05,0.00592209,0.59103,124.024.,1475
|
||||
5.08739e-05,0.00592209,0.621454,114.685.,3356
|
||||
5.95256e-05,0.00592209,0.626188,113.428.,2336
|
||||
5.63659e-05,0.00592209,0.618554,117.456.,2105
|
||||
6.32019e-05,0.00592209,0.616926,122.15.,1799
|
||||
6.05333e-05,0.00592209,0.613481,124.576.,1873
|
||||
5.35997e-05,0.00592209,0.621122,113.63.,2834
|
||||
5.94187e-05,0.00592209,0.606925,126.608.,1970
|
||||
6.52182e-05,0.00592209,0.610882,129.916.,1246
|
||||
6.78626e-05,0.00592209,0.608581,119.673.,2155
|
||||
5.12495e-05,0.00592209,0.6262,116.233.,3037
|
||||
6.7083e-05,0.00592209,0.608299,125.086.,1595
|
||||
6.74099e-05,0.00592209,0.620429,112.897.,2800
|
||||
6.57581e-05,0.00592209,0.622392,113.016,2368
|
||||
5.16451e-05,0.00592209,0.610293,118.796,2433
|
||||
6.45083e-05,0.00592209,0.592139,127.157,1655
|
||||
7.14801e-05,0.00592209,0.624039,121.613,1933
|
||||
5.62707e-05,0.00592209,0.611091,119.539,2618
|
||||
5.55953e-05,0.00592209,0.625812,119.512,2505
|
||||
5.96026e-05,0.00592209,0.622873,118.285,1582
|
||||
6.63676e-05,0.00592209,0.602386,126.579,2214
|
||||
5.93125e-05,0.00592209,0.608913,122.512,2262
|
||||
6.05066e-05,0.00592209,0.621467,118.473,2465
|
||||
6.42976e-05,0.00592209,0.602593,121.998,2127
|
||||
5.32868e-05,0.00592209,0.616501,115.313,2746
|
||||
5.47856e-05,0.00592209,0.615173,118.034,2148
|
||||
6.47209e-05,0.00592209,0.603935,120.003,2304
|
||||
7.07812e-05,0.00592209,0.620422,123.494,1941
|
||||
6.49313e-05,0.00592209,0.616232,122.989,2214
|
||||
6.64295e-05,0.00592209,0.605206,123.757,1675
|
||||
5.88806e-05,0.00592209,0.628055,110.67,2230
|
||||
7.56461e-05,0.00592209,0.625361,121.232,2187
|
||||
4.932e-05,0.00592209,0.612261,120.979,2280
|
||||
5.45998e-05,0.00592209,0.61935,115.394,2380
|
||||
6.10654e-05,0.00592209,0.614029,116.928,2327
|
||||
6.09488e-05,0.00592209,0.611892,125.294,1609
|
||||
5.85691e-05,0.00592209,0.632686,111.635,2831
|
||||
6.87292e-05,0.00592209,0.61519,114.681,2565
|
||||
6.53377e-05,0.00592209,0.627408,111.935,2596
|
||||
6.98345e-05,0.00592209,0.616158,111.392,2417
|
||||
7.90547e-05,0.00592209,0.620575,115.346,2031
|
||||
6.50231e-05,0.00592209,0.625725,119.055,1842
|
||||
6.76541e-05,0.00592209,0.625399,117.452,1452
|
||||
5.72222e-05,0.00592209,0.614171,123.379,2186
|
||||
7.42483e-05,0.00592209,0.624683,115.053,2236
|
||||
6.9354e-05,0.00592209,0.619596,123.994,1688
|
||||
5.75478e-05,0.00592209,0.605051,118.576,1930
|
||||
6.01309e-05,0.00592209,0.617511,116.894,2184
|
||||
6.69251e-05,0.00592209,0.608408,120.129,2007
|
||||
4.66926e-05,0.00592209,0.60606,126.708,1552
|
||||
4.90102e-05,0.00592209,0.618673,114.595,2783
|
||||
5.51505e-05,0.00592209,0.619245,120.056,2463
|
||||
6.1007e-05,0.00592209,0.605215,122.057,1493
|
||||
5.04717e-05,0.00592209,0.623503,116.846,2620
|
||||
6.3578e-05,0.00592209,0.625261,124.35,2193
|
||||
5.8875e-05,0.00592209,0.624526,118.43,2502
|
||||
7.95299e-05,0.00592209,0.611719,116.574,1849
|
||||
6.42733e-05,0.00592209,0.608178,128.474,2078
|
||||
6.41674e-05,0.00592209,0.624042,111.111,2037
|
||||
4.88661e-05,0.00592209,0.615408,120.004,2627
|
||||
7.27714e-05,0.00592209,0.626926,119.866,2128
|
||||
4.84641e-05,0.00592209,0.608054,119.676,2408
|
||||
6.66562e-05,0.00592209,0.603902,128.957,1668
|
||||
5.99872e-05,0.00592209,0.63676,108.467,3448
|
||||
7.73127e-05,0.00592209,0.62232,123.353,1551
|
||||
6.67597e-05,0.00592209,0.621411,123.301,2180
|
||||
5.2819e-05,0.00592209,0.617515,114.838,4096
|
||||
5.29257e-05,0.00592209,0.622611,118.611,1973
|
||||
5.35212e-05,0.00592209,0.62533,109.616,3424
|
||||
7.1947e-05,0.00592209,0.632331,113.565,2905
|
||||
5.04311e-05,0.00592209,0.611559,120.01,2147
|
||||
6.57161e-05,0.00592209,0.617789,125.441,1820
|
||||
5.18695e-05,0.00592209,0.610402,122.541,2430
|
||||
6.47262e-05,0.00592209,0.609141,123.169,1989
|
||||
5.87925e-05,0.00592209,0.61627,117.344,2143
|
||||
4.36904e-05,0.00592209,0.631954,112.674,3526
|
||||
6.45195e-05,0.00592209,0.614402,118.787,1765
|
||||
5.8354e-05,0.00592209,0.615515,112.061,2368
|
||||
7.14669e-05,0.00592209,0.628382,110.262,1923
|
||||
7.24908e-05,0.00592209,0.610848,116.504,1830
|
||||
5.98617e-05,0.00592209,0.622949,109.607,3609
|
||||
5.90411e-05,0.00592209,0.629175,122.198,1859
|
||||
5.25569e-05,0.00592209,0.621253,124.527,1876
|
||||
5.86979e-05,0.00592209,0.612603,120.886,2916
|
||||
4.73113e-05,0.00592209,0.610586,119.176,2072
|
||||
5.8777e-05,0.00592209,0.62863,121.081,2338
|
||||
5.6608e-05,0.00592209,0.617215,121.038,3021
|
||||
5.74614e-05,0.00592209,0.626088,112.392,2182
|
||||
6.86466e-05,0.00592209,0.631893,121.148,2246
|
||||
4.77969e-05,0.00592209,0.635218,117.053,2939
|
||||
5.50553e-05,0.00592209,0.610707,123.651,1417
|
||||
6.89628e-05,0.00592209,0.638474,128.446,1840
|
||||
6.85622e-05,0.00592209,0.620769,115.527,2116
|
||||
5.28017e-05,0.00592209,0.614948,121.456,2178
|
||||
7.06916e-05,0.00592209,0.61804,127.418,2354
|
||||
6.81788e-05,0.00592209,0.616056,113.541,2768
|
||||
7.89711e-05,0.00592209,0.615108,116.805,2293
|
||||
5.84297e-05,0.00592209,0.612733,123.244,2206
|
||||
5.53374e-05,0.00592209,0.605062,123.095,1902
|
||||
5.51739e-05,0.00592209,0.631543,115.9,3145
|
||||
6.9413e-05,0.00592209,0.59103,124.024,1475
|
||||
5.08739e-05,0.00592209,0.621454,114.685,3356
|
||||
5.95256e-05,0.00592209,0.626188,113.428,2336
|
||||
5.63659e-05,0.00592209,0.618554,117.456,2105
|
||||
6.32019e-05,0.00592209,0.616926,122.15,1799
|
||||
6.05333e-05,0.00592209,0.613481,124.576,1873
|
||||
5.35997e-05,0.00592209,0.621122,113.63,2834
|
||||
5.94187e-05,0.00592209,0.606925,126.608,1970
|
||||
6.52182e-05,0.00592209,0.610882,129.916,1246
|
||||
6.78626e-05,0.00592209,0.608581,119.673,2155
|
||||
5.12495e-05,0.00592209,0.6262,116.233,3037
|
||||
6.7083e-05,0.00592209,0.608299,125.086,1595
|
||||
6.74099e-05,0.00592209,0.620429,112.897,2800
|
||||
|
||||
|
101
dokumentation/evolution3d/20170926_3dFit_4x4x4_100times.error
Normal file
101
dokumentation/evolution3d/20170926_3dFit_4x4x4_100times.error
Normal file
@ -0,0 +1,101 @@
|
||||
"Evolution error
|
||||
113.016
|
||||
118.796
|
||||
127.157
|
||||
121.613
|
||||
119.539
|
||||
119.512
|
||||
118.285
|
||||
126.579
|
||||
122.512
|
||||
118.473
|
||||
121.998
|
||||
115.313
|
||||
118.034
|
||||
120.003
|
||||
123.494
|
||||
122.989
|
||||
123.757
|
||||
110.67
|
||||
121.232
|
||||
120.979
|
||||
115.394
|
||||
116.928
|
||||
125.294
|
||||
111.635
|
||||
114.681
|
||||
111.935
|
||||
111.392
|
||||
115.346
|
||||
119.055
|
||||
117.452
|
||||
123.379
|
||||
115.053
|
||||
123.994
|
||||
118.576
|
||||
116.894
|
||||
120.129
|
||||
126.708
|
||||
114.595
|
||||
120.056
|
||||
122.057
|
||||
116.846
|
||||
124.35
|
||||
118.43
|
||||
116.574
|
||||
128.474
|
||||
111.111
|
||||
120.004
|
||||
119.866
|
||||
119.676
|
||||
128.957
|
||||
108.467
|
||||
123.353
|
||||
123.301
|
||||
114.838
|
||||
118.611
|
||||
109.616
|
||||
113.565
|
||||
120.01
|
||||
125.441
|
||||
122.541
|
||||
123.169
|
||||
117.344
|
||||
112.674
|
||||
118.787
|
||||
112.061
|
||||
110.262
|
||||
116.504
|
||||
109.607
|
||||
122.198
|
||||
124.527
|
||||
120.886
|
||||
119.176
|
||||
121.081
|
||||
121.038
|
||||
112.392
|
||||
121.148
|
||||
117.053
|
||||
123.651
|
||||
128.446
|
||||
115.527
|
||||
121.456
|
||||
127.418
|
||||
113.541
|
||||
116.805
|
||||
123.244
|
||||
123.095
|
||||
115.9
|
||||
124.024
|
||||
114.685
|
||||
113.428
|
||||
117.456
|
||||
122.15
|
||||
124.576
|
||||
113.63
|
||||
126.608
|
||||
129.916
|
||||
119.673
|
||||
116.233
|
||||
125.086
|
||||
112.897
|
||||
@ -0,0 +1,9 @@
|
||||
[1] "================ Analyzing 20170926_3dFit_4x4x4_100times.csv"
|
||||
[1] "Mean:"
|
||||
[1] 119.1789
|
||||
[1] "Median:"
|
||||
[1] 119.5255
|
||||
[1] "Sigma:"
|
||||
[1] 4.97234
|
||||
[1] "Range:"
|
||||
[1] 108.467 129.916
|
||||
@ -0,0 +1,49 @@
|
||||
[1] "================ Analyzing 20170926_3dFit_4x4x4_100times.csv"
|
||||
[1] "spearman for improvement-potential vs. evolution-error"
|
||||
x y
|
||||
x 1.0 -0.5
|
||||
y -0.5 1.0
|
||||
|
||||
n= 100
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0
|
||||
y 0
|
||||
[1] "spearman for improvement-potential vs. steps"
|
||||
x y
|
||||
x 1.00 0.37
|
||||
y 0.37 1.00
|
||||
|
||||
n= 100
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 2e-04
|
||||
y 2e-04
|
||||
[1] "spearman for regularity vs. steps"
|
||||
x y
|
||||
x 1.00 -0.38
|
||||
y -0.38 1.00
|
||||
|
||||
n= 100
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0
|
||||
y 0
|
||||
[1] "spearman for variability vs. evolution-error"
|
||||
x y
|
||||
x 1 NaN
|
||||
y NaN 1
|
||||
|
||||
n= 100
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x
|
||||
y
|
||||
@ -1,101 +1,101 @@
|
||||
regularity,variability,improvement,"Evolution error",steps
|
||||
7.0689e-05,0.0115666,0.73748,73.9627.,781
|
||||
8.30021e-05,0.0115666,0.733986,79.3303.,965
|
||||
0.000115663,0.0115666,0.754351,72.8373.,1029
|
||||
0.000115101,0.0115666,0.761361,60.0032.,1435
|
||||
0.000130222,0.0115666,0.760933,80.1321.,1189
|
||||
0.000134453,0.0115666,0.765,66.1526.,1209
|
||||
0.000108858,0.0115666,0.741158,74.6032.,940
|
||||
0.000100633,0.0115666,0.742555,71.3161.,874
|
||||
9.22496e-05,0.0115666,0.750011,71.9377.,1407
|
||||
7.41514e-05,0.0115666,0.742094,70.127.,1525
|
||||
0.000149467,0.0115666,0.75484,61.7195.,1705
|
||||
0.000168885,0.0115666,0.73862,86.6101.,593
|
||||
0.000122462,0.0115666,0.731222,77.235.,770
|
||||
0.000117266,0.0115666,0.757041,70.3058.,1136
|
||||
0.000119127,0.0115666,0.747804,73.3268.,890
|
||||
0.000124455,0.0115666,0.748928,72.8603.,743
|
||||
9.47125e-05,0.0115666,0.738797,70.5867.,1935
|
||||
7.9171e-05,0.0115666,0.741438,79.8851.,1007
|
||||
9.00926e-05,0.0115666,0.729562,89.169.,854
|
||||
9.71306e-05,0.0115666,0.73793,86.3505.,849
|
||||
0.000113959,0.0115666,0.738424,77.8282.,842
|
||||
0.000108279,0.0115666,0.755674,70.418.,1942
|
||||
6.42834e-05,0.0115666,0.740169,82.3889.,861
|
||||
8.8094e-05,0.0115666,0.737385,80.3257.,902
|
||||
8.57496e-05,0.0115666,0.731752,85.6612.,649
|
||||
7.97196e-05,0.0115666,0.764609,76.2377.,671
|
||||
0.000107926,0.0115666,0.747697,76.8062.,905
|
||||
5.63544e-05,0.0115666,0.740041,75.0253.,1091
|
||||
0.000127036,0.0115666,0.746509,73.6296.,1218
|
||||
8.93177e-05,0.0115666,0.750775,71.8145.,1018
|
||||
7.13592e-05,0.0115666,0.746741,82.1172.,1052
|
||||
0.000121511,0.0115666,0.747184,68.4228.,1322
|
||||
0.000154913,0.0115666,0.736936,74.5628.,937
|
||||
0.000120138,0.0115666,0.75356,82.4297.,698
|
||||
5.97068e-05,0.0115666,0.744391,74.6568.,952
|
||||
0.000104185,0.0115666,0.7341,76.5874.,1223
|
||||
0.000123751,0.0115666,0.735266,82.2821.,715
|
||||
0.000108341,0.0115666,0.744947,71.321.,1058
|
||||
9.75329e-05,0.0115666,0.746476,80.1887.,1033
|
||||
6.51759e-05,0.0115666,0.754359,60.0022.,3631
|
||||
9.35949e-05,0.0115666,0.733867,73.5674.,1300
|
||||
8.56673e-05,0.0115666,0.744773,68.7547.,1081
|
||||
7.41782e-05,0.0115666,0.754371,97.4154.,907
|
||||
0.000111943,0.0115666,0.749778,81.1639.,1013
|
||||
8.48407e-05,0.0115666,0.726201,82.2747.,473
|
||||
6.14894e-05,0.0115666,0.746102,70.415.,938
|
||||
6.76652e-05,0.0115666,0.736705,72.564.,881
|
||||
9.73343e-05,0.0115666,0.754973,70.1961.,1019
|
||||
9.54201e-05,0.0115666,0.718442,83.8507.,762
|
||||
7.51464e-05,0.0115666,0.736317,82.3622.,646
|
||||
0.000105639,0.0115666,0.741073,74.3285.,1122
|
||||
0.000131041,0.0115666,0.735624,84.2108.,860
|
||||
0.000136142,0.0115666,0.754096,69.7744.,1124
|
||||
8.76576e-05,0.0115666,0.734191,82.1376.,889
|
||||
8.54651e-05,0.0115666,0.731117,74.2818.,715
|
||||
0.000121696,0.0115666,0.736555,78.989.,1029
|
||||
0.000124672,0.0115666,0.748948,82.2812.,939
|
||||
0.000135654,0.0115666,0.738358,74.0614.,1106
|
||||
7.8306e-05,0.0115666,0.73738,83.257.,390
|
||||
0.000117894,0.0115666,0.756543,72.454.,1223
|
||||
0.000107745,0.0115666,0.729775,71.9554.,1000
|
||||
0.000177142,0.0115666,0.733159,93.8159.,756
|
||||
0.000120879,0.0115666,0.752328,64.5602.,979
|
||||
0.000160079,0.0115666,0.737225,81.597.,836
|
||||
0.000108096,0.0115666,0.737118,74.8947.,802
|
||||
0.000104671,0.0115666,0.746382,71.937.,1625
|
||||
8.82439e-05,0.0115666,0.739388,82.8423.,728
|
||||
0.000128997,0.0115666,0.754149,66.0827.,1490
|
||||
0.0001338,0.0115666,0.751957,79.8222.,859
|
||||
0.000112858,0.0115666,0.745379,80.2208.,729
|
||||
0.000114923,0.0115666,0.749297,76.7288.,856
|
||||
7.53845e-05,0.0115666,0.748722,75.2866.,842
|
||||
7.55779e-05,0.0115666,0.77028,75.6383.,970
|
||||
8.87548e-05,0.0115666,0.743615,79.3073.,806
|
||||
8.4754e-05,0.0115666,0.760469,69.5742.,1140
|
||||
0.000129571,0.0115666,0.745269,76.4946.,975
|
||||
0.000110111,0.0115666,0.737088,92.7633.,599
|
||||
6.87804e-05,0.0115666,0.744389,83.3937.,775
|
||||
0.000101892,0.0115666,0.743134,83.8943.,728
|
||||
0.000105793,0.0115666,0.742164,73.5603.,1486
|
||||
0.000108123,0.0115666,0.751606,76.8801.,1162
|
||||
0.000109415,0.0115666,0.75257,70.703.,1264
|
||||
0.000118515,0.0115666,0.746588,69.1493.,1822
|
||||
0.000143603,0.0115666,0.762834,79.6539.,647
|
||||
8.09027e-05,0.0115666,0.74586,83.4016.,810
|
||||
8.85206e-05,0.0115666,0.719237,88.5801.,1201
|
||||
9.85622e-05,0.0115666,0.73017,85.8292.,843
|
||||
0.000116044,0.0115666,0.741297,72.5448.,1369
|
||||
0.000104403,0.0115666,0.737101,82.2857.,788
|
||||
0.000106433,0.0115666,0.741242,83.8247.,1129
|
||||
6.46802e-05,0.0115666,0.746106,78.3849.,497
|
||||
8.77417e-05,0.0115666,0.744569,84.6062.,810
|
||||
0.000103672,0.0115666,0.739614,75.7662.,1202
|
||||
7.23422e-05,0.0115666,0.742384,78.4256.,687
|
||||
7.63333e-05,0.0115666,0.740292,68.3999.,1707
|
||||
0.000167486,0.0115666,0.735526,72.1529.,1386
|
||||
8.76744e-05,0.0115666,0.736893,78.0544.,775
|
||||
7.8021e-05,0.0115666,0.740389,89.1144.,578
|
||||
7.86278e-05,0.0115666,0.722219,86.8059.,708
|
||||
0.000152359,0.0115666,0.740523,75.2054.,976
|
||||
7.0689e-05,0.0115666,0.73748,73.9627,781
|
||||
8.30021e-05,0.0115666,0.733986,79.3303,965
|
||||
0.000115663,0.0115666,0.754351,72.8373,1029
|
||||
0.000115101,0.0115666,0.761361,60.0032,1435
|
||||
0.000130222,0.0115666,0.760933,80.1321,1189
|
||||
0.000134453,0.0115666,0.765,66.1526,1209
|
||||
0.000108858,0.0115666,0.741158,74.6032,940
|
||||
0.000100633,0.0115666,0.742555,71.3161,874
|
||||
9.22496e-05,0.0115666,0.750011,71.9377,1407
|
||||
7.41514e-05,0.0115666,0.742094,70.127,1525
|
||||
0.000149467,0.0115666,0.75484,61.7195,1705
|
||||
0.000168885,0.0115666,0.73862,86.6101,593
|
||||
0.000122462,0.0115666,0.731222,77.235,770
|
||||
0.000117266,0.0115666,0.757041,70.3058,1136
|
||||
0.000119127,0.0115666,0.747804,73.3268,890
|
||||
0.000124455,0.0115666,0.748928,72.8603,743
|
||||
9.47125e-05,0.0115666,0.738797,70.5867,1935
|
||||
7.9171e-05,0.0115666,0.741438,79.8851,1007
|
||||
9.00926e-05,0.0115666,0.729562,89.169,854
|
||||
9.71306e-05,0.0115666,0.73793,86.3505,849
|
||||
0.000113959,0.0115666,0.738424,77.8282,842
|
||||
0.000108279,0.0115666,0.755674,70.418,1942
|
||||
6.42834e-05,0.0115666,0.740169,82.3889,861
|
||||
8.8094e-05,0.0115666,0.737385,80.3257,902
|
||||
8.57496e-05,0.0115666,0.731752,85.6612,649
|
||||
7.97196e-05,0.0115666,0.764609,76.2377,671
|
||||
0.000107926,0.0115666,0.747697,76.8062,905
|
||||
5.63544e-05,0.0115666,0.740041,75.0253,1091
|
||||
0.000127036,0.0115666,0.746509,73.6296,1218
|
||||
8.93177e-05,0.0115666,0.750775,71.8145,1018
|
||||
7.13592e-05,0.0115666,0.746741,82.1172,1052
|
||||
0.000121511,0.0115666,0.747184,68.4228,1322
|
||||
0.000154913,0.0115666,0.736936,74.5628,937
|
||||
0.000120138,0.0115666,0.75356,82.4297,698
|
||||
5.97068e-05,0.0115666,0.744391,74.6568,952
|
||||
0.000104185,0.0115666,0.7341,76.5874,1223
|
||||
0.000123751,0.0115666,0.735266,82.2821,715
|
||||
0.000108341,0.0115666,0.744947,71.321,1058
|
||||
9.75329e-05,0.0115666,0.746476,80.1887,1033
|
||||
6.51759e-05,0.0115666,0.754359,60.0022,3631
|
||||
9.35949e-05,0.0115666,0.733867,73.5674,1300
|
||||
8.56673e-05,0.0115666,0.744773,68.7547,1081
|
||||
7.41782e-05,0.0115666,0.754371,97.4154,907
|
||||
0.000111943,0.0115666,0.749778,81.1639,1013
|
||||
8.48407e-05,0.0115666,0.726201,82.2747,473
|
||||
6.14894e-05,0.0115666,0.746102,70.415,938
|
||||
6.76652e-05,0.0115666,0.736705,72.564,881
|
||||
9.73343e-05,0.0115666,0.754973,70.1961,1019
|
||||
9.54201e-05,0.0115666,0.718442,83.8507,762
|
||||
7.51464e-05,0.0115666,0.736317,82.3622,646
|
||||
0.000105639,0.0115666,0.741073,74.3285,1122
|
||||
0.000131041,0.0115666,0.735624,84.2108,860
|
||||
0.000136142,0.0115666,0.754096,69.7744,1124
|
||||
8.76576e-05,0.0115666,0.734191,82.1376,889
|
||||
8.54651e-05,0.0115666,0.731117,74.2818,715
|
||||
0.000121696,0.0115666,0.736555,78.989,1029
|
||||
0.000124672,0.0115666,0.748948,82.2812,939
|
||||
0.000135654,0.0115666,0.738358,74.0614,1106
|
||||
7.8306e-05,0.0115666,0.73738,83.257,390
|
||||
0.000117894,0.0115666,0.756543,72.454,1223
|
||||
0.000107745,0.0115666,0.729775,71.9554,1000
|
||||
0.000177142,0.0115666,0.733159,93.8159,756
|
||||
0.000120879,0.0115666,0.752328,64.5602,979
|
||||
0.000160079,0.0115666,0.737225,81.597,836
|
||||
0.000108096,0.0115666,0.737118,74.8947,802
|
||||
0.000104671,0.0115666,0.746382,71.937,1625
|
||||
8.82439e-05,0.0115666,0.739388,82.8423,728
|
||||
0.000128997,0.0115666,0.754149,66.0827,1490
|
||||
0.0001338,0.0115666,0.751957,79.8222,859
|
||||
0.000112858,0.0115666,0.745379,80.2208,729
|
||||
0.000114923,0.0115666,0.749297,76.7288,856
|
||||
7.53845e-05,0.0115666,0.748722,75.2866,842
|
||||
7.55779e-05,0.0115666,0.77028,75.6383,970
|
||||
8.87548e-05,0.0115666,0.743615,79.3073,806
|
||||
8.4754e-05,0.0115666,0.760469,69.5742,1140
|
||||
0.000129571,0.0115666,0.745269,76.4946,975
|
||||
0.000110111,0.0115666,0.737088,92.7633,599
|
||||
6.87804e-05,0.0115666,0.744389,83.3937,775
|
||||
0.000101892,0.0115666,0.743134,83.8943,728
|
||||
0.000105793,0.0115666,0.742164,73.5603,1486
|
||||
0.000108123,0.0115666,0.751606,76.8801,1162
|
||||
0.000109415,0.0115666,0.75257,70.703,1264
|
||||
0.000118515,0.0115666,0.746588,69.1493,1822
|
||||
0.000143603,0.0115666,0.762834,79.6539,647
|
||||
8.09027e-05,0.0115666,0.74586,83.4016,810
|
||||
8.85206e-05,0.0115666,0.719237,88.5801,1201
|
||||
9.85622e-05,0.0115666,0.73017,85.8292,843
|
||||
0.000116044,0.0115666,0.741297,72.5448,1369
|
||||
0.000104403,0.0115666,0.737101,82.2857,788
|
||||
0.000106433,0.0115666,0.741242,83.8247,1129
|
||||
6.46802e-05,0.0115666,0.746106,78.3849,497
|
||||
8.77417e-05,0.0115666,0.744569,84.6062,810
|
||||
0.000103672,0.0115666,0.739614,75.7662,1202
|
||||
7.23422e-05,0.0115666,0.742384,78.4256,687
|
||||
7.63333e-05,0.0115666,0.740292,68.3999,1707
|
||||
0.000167486,0.0115666,0.735526,72.1529,1386
|
||||
8.76744e-05,0.0115666,0.736893,78.0544,775
|
||||
7.8021e-05,0.0115666,0.740389,89.1144,578
|
||||
7.86278e-05,0.0115666,0.722219,86.8059,708
|
||||
0.000152359,0.0115666,0.740523,75.2054,976
|
||||
|
||||
|
101
dokumentation/evolution3d/20170926_3dFit_5x5x5_100times.error
Normal file
101
dokumentation/evolution3d/20170926_3dFit_5x5x5_100times.error
Normal file
@ -0,0 +1,101 @@
|
||||
"Evolution error
|
||||
73.9627
|
||||
79.3303
|
||||
72.8373
|
||||
60.0032
|
||||
80.1321
|
||||
66.1526
|
||||
74.6032
|
||||
71.3161
|
||||
71.9377
|
||||
70.127
|
||||
61.7195
|
||||
86.6101
|
||||
77.235
|
||||
70.3058
|
||||
73.3268
|
||||
72.8603
|
||||
70.5867
|
||||
79.8851
|
||||
89.169
|
||||
86.3505
|
||||
77.8282
|
||||
70.418
|
||||
82.3889
|
||||
80.3257
|
||||
85.6612
|
||||
76.2377
|
||||
76.8062
|
||||
75.0253
|
||||
73.6296
|
||||
71.8145
|
||||
82.1172
|
||||
68.4228
|
||||
74.5628
|
||||
82.4297
|
||||
74.6568
|
||||
76.5874
|
||||
82.2821
|
||||
71.321
|
||||
80.1887
|
||||
60.0022
|
||||
73.5674
|
||||
68.7547
|
||||
97.4154
|
||||
81.1639
|
||||
82.2747
|
||||
70.415
|
||||
72.564
|
||||
70.1961
|
||||
83.8507
|
||||
82.3622
|
||||
74.3285
|
||||
84.2108
|
||||
69.7744
|
||||
82.1376
|
||||
74.2818
|
||||
78.989
|
||||
82.2812
|
||||
74.0614
|
||||
83.257
|
||||
72.454
|
||||
71.9554
|
||||
93.8159
|
||||
64.5602
|
||||
81.597
|
||||
74.8947
|
||||
71.937
|
||||
82.8423
|
||||
66.0827
|
||||
79.8222
|
||||
80.2208
|
||||
76.7288
|
||||
75.2866
|
||||
75.6383
|
||||
79.3073
|
||||
69.5742
|
||||
76.4946
|
||||
92.7633
|
||||
83.3937
|
||||
83.8943
|
||||
73.5603
|
||||
76.8801
|
||||
70.703
|
||||
69.1493
|
||||
79.6539
|
||||
83.4016
|
||||
88.5801
|
||||
85.8292
|
||||
72.5448
|
||||
82.2857
|
||||
83.8247
|
||||
78.3849
|
||||
84.6062
|
||||
75.7662
|
||||
78.4256
|
||||
68.3999
|
||||
72.1529
|
||||
78.0544
|
||||
89.1144
|
||||
86.8059
|
||||
75.2054
|
||||
@ -0,0 +1,9 @@
|
||||
[1] "================ Analyzing 20170926_3dFit_5x5x5_100times.csv"
|
||||
[1] "Mean:"
|
||||
[1] 77.03635
|
||||
[1] "Median:"
|
||||
[1] 76.541
|
||||
[1] "Sigma:"
|
||||
[1] 7.023404
|
||||
[1] "Range:"
|
||||
[1] 60.0022 97.4154
|
||||
@ -0,0 +1,49 @@
|
||||
[1] "================ Analyzing 20170926_3dFit_5x5x5_100times.csv"
|
||||
[1] "spearman for improvement-potential vs. evolution-error"
|
||||
x y
|
||||
x 1.00 -0.47
|
||||
y -0.47 1.00
|
||||
|
||||
n= 100
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0
|
||||
y 0
|
||||
[1] "spearman for improvement-potential vs. steps"
|
||||
x y
|
||||
x 1.00 0.36
|
||||
y 0.36 1.00
|
||||
|
||||
n= 100
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 3e-04
|
||||
y 3e-04
|
||||
[1] "spearman for regularity vs. steps"
|
||||
x y
|
||||
x 1.00 0.18
|
||||
y 0.18 1.00
|
||||
|
||||
n= 100
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0.0775
|
||||
y 0.0775
|
||||
[1] "spearman for variability vs. evolution-error"
|
||||
x y
|
||||
x 1 NaN
|
||||
y NaN 1
|
||||
|
||||
n= 100
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x
|
||||
y
|
||||
@ -1,101 +1,101 @@
|
||||
regularity,variability,improvement,"Evolution error",steps
|
||||
0.000136559,0.00740261,0.64595,104.911.,1607
|
||||
0.000119061,0.00740261,0.648063,102.122.,2160
|
||||
0.00014586,0.00740261,0.662359,100.463.,1781
|
||||
0.000143911,0.00740261,0.647409,111.329.,1435
|
||||
0.000100089,0.00740261,0.660347,104.712.,1394
|
||||
0.00019449,0.00740261,0.643112,100.048.,1764
|
||||
0.000139001,0.00740261,0.636985,102.05.,1923
|
||||
9.23895e-05,0.00740261,0.651932,98.3549.,2200
|
||||
0.000151896,0.00740261,0.654589,93.4038.,2609
|
||||
9.96526e-05,0.00740261,0.663458,104.028.,1515
|
||||
0.000140183,0.00740261,0.655494,102.965.,1602
|
||||
0.000146938,0.00740261,0.656983,102.822.,1591
|
||||
0.000127648,0.00740261,0.644146,97.9662.,2250
|
||||
0.000133108,0.00740261,0.653198,100.341.,2206
|
||||
0.000136798,0.00740261,0.639845,109.73.,1540
|
||||
0.000101394,0.00740261,0.6633,99.6362.,2820
|
||||
0.000125845,0.00740261,0.647015,113.29.,1861
|
||||
0.000104427,0.00740261,0.647875,112.572.,1198
|
||||
0.000140362,0.00740261,0.669356,86.3175.,2124
|
||||
0.000114307,0.00740261,0.669332,91.637.,2806
|
||||
9.09613e-05,0.00740261,0.653191,107.27.,1502
|
||||
0.000130204,0.00740261,0.651758,110.797.,1133
|
||||
0.00014725,0.00740261,0.649409,99.0484.,1656
|
||||
0.000110507,0.00740261,0.651763,94.2222.,2395
|
||||
0.000153747,0.00740261,0.653734,104.417.,2041
|
||||
0.000108131,0.00740261,0.648279,96.4144.,2267
|
||||
0.000126425,0.00740261,0.658424,108.23.,1793
|
||||
0.00011876,0.00740261,0.658874,98.5045.,1906
|
||||
7.79227e-05,0.00740261,0.664063,93.4554.,2181
|
||||
0.000124995,0.00740261,0.649892,110.564.,1778
|
||||
0.000135721,0.00740261,0.665436,104.082.,1365
|
||||
0.000108043,0.00740261,0.665742,95.1024.,2120
|
||||
0.00013341,0.00740261,0.654181,100.132.,2496
|
||||
0.000107614,0.00740261,0.659173,102.451.,2798
|
||||
0.000126198,0.00740261,0.643969,116.302.,1655
|
||||
0.000110899,0.00740261,0.660032,98.5173.,2555
|
||||
0.000158971,0.00740261,0.641391,104.428.,1847
|
||||
0.000156538,0.00740261,0.647057,104.909.,2023
|
||||
0.000124514,0.00740261,0.649594,106.289.,1776
|
||||
0.000141513,0.00740261,0.650988,106.708.,1510
|
||||
0.000138867,0.00740261,0.653552,108.022.,1558
|
||||
9.31002e-05,0.00740261,0.648143,97.8253.,2547
|
||||
0.00011634,0.00740261,0.659954,114.829.,1103
|
||||
0.000104627,0.00740261,0.658879,115.054.,1440
|
||||
0.000136417,0.00740261,0.6429,106.6.,1345
|
||||
0.00012931,0.00740261,0.63474,105.157.,1201
|
||||
0.000107738,0.00740261,0.671551,93.2856.,2956
|
||||
0.000114915,0.00740261,0.654224,98.8994.,1428
|
||||
0.000104432,0.00740261,0.642969,117.524.,1103
|
||||
0.00013635,0.00740261,0.671219,97.0705.,2329
|
||||
0.00014468,0.00740261,0.64633,95.9897.,1552
|
||||
0.000131339,0.00740261,0.65456,104.384.,2112
|
||||
0.000137424,0.00740261,0.641967,104.01.,1864
|
||||
0.000119603,0.00740261,0.643056,104.585.,1573
|
||||
0.000152567,0.00740261,0.66439,98.8101.,1297
|
||||
9.48346e-05,0.00740261,0.657038,104.262.,2105
|
||||
0.000134127,0.00740261,0.65476,95.1758.,2638
|
||||
0.000115945,0.00740261,0.655308,109.61.,1354
|
||||
8.95548e-05,0.00740261,0.642705,96.3427.,2743
|
||||
0.000177255,0.00740261,0.658675,106.331.,1506
|
||||
9.39073e-05,0.00740261,0.655253,103.753.,1723
|
||||
0.000118136,0.00740261,0.646319,106.698.,1690
|
||||
0.000143213,0.00740261,0.662647,97.9397.,1209
|
||||
0.000124885,0.00740261,0.65789,106.656.,1534
|
||||
0.000122815,0.00740261,0.673803,102.299.,1433
|
||||
0.00011158,0.00740261,0.652635,104.71.,1827
|
||||
0.000143072,0.00740261,0.651031,99.6516.,1526
|
||||
0.000121757,0.00740261,0.681384,85.3402.,4935
|
||||
9.94695e-05,0.00740261,0.651079,103.875.,2087
|
||||
0.000161101,0.00740261,0.654378,99.7871.,1947
|
||||
0.000122246,0.00740261,0.65679,99.823.,2190
|
||||
0.000147347,0.00740261,0.6422,110.554.,1301
|
||||
0.000112197,0.00740261,0.654611,114.952.,998
|
||||
0.00011529,0.00740261,0.643761,99.7046.,1245
|
||||
0.000161519,0.00740261,0.653702,96.1227.,2219
|
||||
0.000137877,0.00740261,0.646996,94.9822.,3061
|
||||
0.000113204,0.00740261,0.629358,109.207.,1124
|
||||
0.000160504,0.00740261,0.643509,106.855.,1157
|
||||
0.000115618,0.00740261,0.667462,110.589.,1601
|
||||
0.000155458,0.00740261,0.663885,96.4926.,1549
|
||||
0.00012474,0.00740261,0.64672,104.201.,1704
|
||||
0.000147478,0.00740261,0.656898,95.364.,2012
|
||||
0.000134001,0.00740261,0.648474,95.9782.,1790
|
||||
0.00013438,0.00740261,0.648077,109.152.,1449
|
||||
0.000140607,0.00740261,0.640552,99.7984.,1505
|
||||
0.000107889,0.00740261,0.663999,106.249.,1998
|
||||
0.000149274,0.00740261,0.662709,91.3925.,1790
|
||||
0.000121329,0.00740261,0.647837,102.095.,2291
|
||||
0.000104416,0.00740261,0.663697,108.615.,1725
|
||||
0.000103746,0.00740261,0.656774,100.235.,2358
|
||||
9.74274e-05,0.00740261,0.655777,102.616.,2110
|
||||
9.50543e-05,0.00740261,0.639904,114.163.,1233
|
||||
0.000151294,0.00740261,0.645149,107.106.,1845
|
||||
0.000134623,0.00740261,0.657907,94.8621.,1577
|
||||
8.51088e-05,0.00740261,0.66594,91.0518.,2146
|
||||
0.000131458,0.00740261,0.642009,112.361.,1165
|
||||
0.000162778,0.00740261,0.642773,119.675.,1364
|
||||
0.000113733,0.00740261,0.652888,102.147.,2012
|
||||
0.000119502,0.00740261,0.65036,103.006.,1817
|
||||
0.000123499,0.00740261,0.642794,104.759.,1498
|
||||
0.000136559,0.00740261,0.64595,104.911,1607
|
||||
0.000119061,0.00740261,0.648063,102.122,2160
|
||||
0.00014586,0.00740261,0.662359,100.463,1781
|
||||
0.000143911,0.00740261,0.647409,111.329,1435
|
||||
0.000100089,0.00740261,0.660347,104.712,1394
|
||||
0.00019449,0.00740261,0.643112,100.048,1764
|
||||
0.000139001,0.00740261,0.636985,102.05,1923
|
||||
9.23895e-05,0.00740261,0.651932,98.3549,2200
|
||||
0.000151896,0.00740261,0.654589,93.4038,2609
|
||||
9.96526e-05,0.00740261,0.663458,104.028,1515
|
||||
0.000140183,0.00740261,0.655494,102.965,1602
|
||||
0.000146938,0.00740261,0.656983,102.822,1591
|
||||
0.000127648,0.00740261,0.644146,97.9662,2250
|
||||
0.000133108,0.00740261,0.653198,100.341,2206
|
||||
0.000136798,0.00740261,0.639845,109.73,1540
|
||||
0.000101394,0.00740261,0.6633,99.6362,2820
|
||||
0.000125845,0.00740261,0.647015,113.29,1861
|
||||
0.000104427,0.00740261,0.647875,112.572,1198
|
||||
0.000140362,0.00740261,0.669356,86.3175,2124
|
||||
0.000114307,0.00740261,0.669332,91.637,2806
|
||||
9.09613e-05,0.00740261,0.653191,107.27,1502
|
||||
0.000130204,0.00740261,0.651758,110.797,1133
|
||||
0.00014725,0.00740261,0.649409,99.0484,1656
|
||||
0.000110507,0.00740261,0.651763,94.2222,2395
|
||||
0.000153747,0.00740261,0.653734,104.417,2041
|
||||
0.000108131,0.00740261,0.648279,96.4144,2267
|
||||
0.000126425,0.00740261,0.658424,108.23,1793
|
||||
0.00011876,0.00740261,0.658874,98.5045,1906
|
||||
7.79227e-05,0.00740261,0.664063,93.4554,2181
|
||||
0.000124995,0.00740261,0.649892,110.564,1778
|
||||
0.000135721,0.00740261,0.665436,104.082,1365
|
||||
0.000108043,0.00740261,0.665742,95.1024,2120
|
||||
0.00013341,0.00740261,0.654181,100.132,2496
|
||||
0.000107614,0.00740261,0.659173,102.451,2798
|
||||
0.000126198,0.00740261,0.643969,116.302,1655
|
||||
0.000110899,0.00740261,0.660032,98.5173,2555
|
||||
0.000158971,0.00740261,0.641391,104.428,1847
|
||||
0.000156538,0.00740261,0.647057,104.909,2023
|
||||
0.000124514,0.00740261,0.649594,106.289,1776
|
||||
0.000141513,0.00740261,0.650988,106.708,1510
|
||||
0.000138867,0.00740261,0.653552,108.022,1558
|
||||
9.31002e-05,0.00740261,0.648143,97.8253,2547
|
||||
0.00011634,0.00740261,0.659954,114.829,1103
|
||||
0.000104627,0.00740261,0.658879,115.054,1440
|
||||
0.000136417,0.00740261,0.6429,106.6,1345
|
||||
0.00012931,0.00740261,0.63474,105.157,1201
|
||||
0.000107738,0.00740261,0.671551,93.2856,2956
|
||||
0.000114915,0.00740261,0.654224,98.8994,1428
|
||||
0.000104432,0.00740261,0.642969,117.524,1103
|
||||
0.00013635,0.00740261,0.671219,97.0705,2329
|
||||
0.00014468,0.00740261,0.64633,95.9897,1552
|
||||
0.000131339,0.00740261,0.65456,104.384,2112
|
||||
0.000137424,0.00740261,0.641967,104.01,1864
|
||||
0.000119603,0.00740261,0.643056,104.585,1573
|
||||
0.000152567,0.00740261,0.66439,98.8101,1297
|
||||
9.48346e-05,0.00740261,0.657038,104.262,2105
|
||||
0.000134127,0.00740261,0.65476,95.1758,2638
|
||||
0.000115945,0.00740261,0.655308,109.61,1354
|
||||
8.95548e-05,0.00740261,0.642705,96.3427,2743
|
||||
0.000177255,0.00740261,0.658675,106.331,1506
|
||||
9.39073e-05,0.00740261,0.655253,103.753,1723
|
||||
0.000118136,0.00740261,0.646319,106.698,1690
|
||||
0.000143213,0.00740261,0.662647,97.9397,1209
|
||||
0.000124885,0.00740261,0.65789,106.656,1534
|
||||
0.000122815,0.00740261,0.673803,102.299,1433
|
||||
0.00011158,0.00740261,0.652635,104.71,1827
|
||||
0.000143072,0.00740261,0.651031,99.6516,1526
|
||||
0.000121757,0.00740261,0.681384,85.3402,4935
|
||||
9.94695e-05,0.00740261,0.651079,103.875,2087
|
||||
0.000161101,0.00740261,0.654378,99.7871,1947
|
||||
0.000122246,0.00740261,0.65679,99.823,2190
|
||||
0.000147347,0.00740261,0.6422,110.554,1301
|
||||
0.000112197,0.00740261,0.654611,114.952,998
|
||||
0.00011529,0.00740261,0.643761,99.7046,1245
|
||||
0.000161519,0.00740261,0.653702,96.1227,2219
|
||||
0.000137877,0.00740261,0.646996,94.9822,3061
|
||||
0.000113204,0.00740261,0.629358,109.207,1124
|
||||
0.000160504,0.00740261,0.643509,106.855,1157
|
||||
0.000115618,0.00740261,0.667462,110.589,1601
|
||||
0.000155458,0.00740261,0.663885,96.4926,1549
|
||||
0.00012474,0.00740261,0.64672,104.201,1704
|
||||
0.000147478,0.00740261,0.656898,95.364,2012
|
||||
0.000134001,0.00740261,0.648474,95.9782,1790
|
||||
0.00013438,0.00740261,0.648077,109.152,1449
|
||||
0.000140607,0.00740261,0.640552,99.7984,1505
|
||||
0.000107889,0.00740261,0.663999,106.249,1998
|
||||
0.000149274,0.00740261,0.662709,91.3925,1790
|
||||
0.000121329,0.00740261,0.647837,102.095,2291
|
||||
0.000104416,0.00740261,0.663697,108.615,1725
|
||||
0.000103746,0.00740261,0.656774,100.235,2358
|
||||
9.74274e-05,0.00740261,0.655777,102.616,2110
|
||||
9.50543e-05,0.00740261,0.639904,114.163,1233
|
||||
0.000151294,0.00740261,0.645149,107.106,1845
|
||||
0.000134623,0.00740261,0.657907,94.8621,1577
|
||||
8.51088e-05,0.00740261,0.66594,91.0518,2146
|
||||
0.000131458,0.00740261,0.642009,112.361,1165
|
||||
0.000162778,0.00740261,0.642773,119.675,1364
|
||||
0.000113733,0.00740261,0.652888,102.147,2012
|
||||
0.000119502,0.00740261,0.65036,103.006,1817
|
||||
0.000123499,0.00740261,0.642794,104.759,1498
|
||||
|
||||
|
101
dokumentation/evolution3d/20171005_3dFit_4x4x5_100times.error
Normal file
101
dokumentation/evolution3d/20171005_3dFit_4x4x5_100times.error
Normal file
@ -0,0 +1,101 @@
|
||||
"Evolution error
|
||||
104.911
|
||||
102.122
|
||||
100.463
|
||||
111.329
|
||||
104.712
|
||||
100.048
|
||||
102.05
|
||||
98.3549
|
||||
93.4038
|
||||
104.028
|
||||
102.965
|
||||
102.822
|
||||
97.9662
|
||||
100.341
|
||||
109.73
|
||||
99.6362
|
||||
113.29
|
||||
112.572
|
||||
86.3175
|
||||
91.637
|
||||
107.27
|
||||
110.797
|
||||
99.0484
|
||||
94.2222
|
||||
104.417
|
||||
96.4144
|
||||
108.23
|
||||
98.5045
|
||||
93.4554
|
||||
110.564
|
||||
104.082
|
||||
95.1024
|
||||
100.132
|
||||
102.451
|
||||
116.302
|
||||
98.5173
|
||||
104.428
|
||||
104.909
|
||||
106.289
|
||||
106.708
|
||||
108.022
|
||||
97.8253
|
||||
114.829
|
||||
115.054
|
||||
106.6
|
||||
105.157
|
||||
93.2856
|
||||
98.8994
|
||||
117.524
|
||||
97.0705
|
||||
95.9897
|
||||
104.384
|
||||
104.01
|
||||
104.585
|
||||
98.8101
|
||||
104.262
|
||||
95.1758
|
||||
109.61
|
||||
96.3427
|
||||
106.331
|
||||
103.753
|
||||
106.698
|
||||
97.9397
|
||||
106.656
|
||||
102.299
|
||||
104.71
|
||||
99.6516
|
||||
85.3402
|
||||
103.875
|
||||
99.7871
|
||||
99.823
|
||||
110.554
|
||||
114.952
|
||||
99.7046
|
||||
96.1227
|
||||
94.9822
|
||||
109.207
|
||||
106.855
|
||||
110.589
|
||||
96.4926
|
||||
104.201
|
||||
95.364
|
||||
95.9782
|
||||
109.152
|
||||
99.7984
|
||||
106.249
|
||||
91.3925
|
||||
102.095
|
||||
108.615
|
||||
100.235
|
||||
102.616
|
||||
114.163
|
||||
107.106
|
||||
94.8621
|
||||
91.0518
|
||||
112.361
|
||||
119.675
|
||||
102.147
|
||||
103.006
|
||||
104.759
|
||||
@ -0,0 +1,9 @@
|
||||
[1] "================ Analyzing 20171005_3dFit_4x4x5_100times.csv"
|
||||
[1] "Mean:"
|
||||
[1] 102.8913
|
||||
[1] "Median:"
|
||||
[1] 102.9855
|
||||
[1] "Sigma:"
|
||||
[1] 6.740435
|
||||
[1] "Range:"
|
||||
[1] 85.3402 119.6750
|
||||
@ -0,0 +1,49 @@
|
||||
[1] "================ Analyzing 20171005_3dFit_4x4x5_100times.csv"
|
||||
[1] "spearman for improvement-potential vs. evolution-error"
|
||||
x y
|
||||
x 1.00 -0.38
|
||||
y -0.38 1.00
|
||||
|
||||
n= 100
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0
|
||||
y 0
|
||||
[1] "spearman for improvement-potential vs. steps"
|
||||
x y
|
||||
x 1.00 0.27
|
||||
y 0.27 1.00
|
||||
|
||||
n= 100
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0.0066
|
||||
y 0.0066
|
||||
[1] "spearman for regularity vs. steps"
|
||||
x y
|
||||
x 1.00 -0.17
|
||||
y -0.17 1.00
|
||||
|
||||
n= 100
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0.09
|
||||
y 0.09
|
||||
[1] "spearman for variability vs. evolution-error"
|
||||
x y
|
||||
x 1 NaN
|
||||
y NaN 1
|
||||
|
||||
n= 100
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x
|
||||
y
|
||||
@ -1,101 +1,101 @@
|
||||
regularity,variability,improvement,"Evolution error",steps
|
||||
6.90773e-05,0.0103637,0.696191,105.032.,341
|
||||
7.57369e-05,0.0103637,0.693269,91.0336.,459
|
||||
5.95909e-05,0.0103637,0.712521,74.0894.,1033
|
||||
4.89834e-05,0.0103637,0.705441,77.0829.,794
|
||||
8.55427e-05,0.0103637,0.706556,84.9413.,770
|
||||
6.69145e-05,0.0103637,0.694754,103.909.,501
|
||||
8.78648e-05,0.0103637,0.697778,88.0771.,1023
|
||||
4.89849e-05,0.0103637,0.693094,93.4708.,847
|
||||
7.05473e-05,0.0103637,0.698525,83.1573.,1650
|
||||
6.45204e-05,0.0103637,0.703132,80.9548.,760
|
||||
8.39504e-05,0.0103637,0.693773,78.1902.,1161
|
||||
8.95153e-05,0.0103637,0.703214,84.7296.,755
|
||||
8.94125e-05,0.0103637,0.683541,94.4156.,468
|
||||
7.65955e-05,0.0103637,0.699209,84.0696.,618
|
||||
8.48235e-05,0.0103637,0.694151,83.4435.,893
|
||||
9.25653e-05,0.0103637,0.696425,88.5741.,486
|
||||
8.37081e-05,0.0103637,0.705391,77.5017.,773
|
||||
9.46274e-05,0.0103637,0.701869,82.8934.,558
|
||||
5.84861e-05,0.0103637,0.696648,89.5173.,466
|
||||
9.22039e-05,0.0103637,0.712275,92.6297.,329
|
||||
0.00012461,0.0103637,0.683813,88.5844.,399
|
||||
7.19627e-05,0.0103637,0.700576,82.1173.,915
|
||||
7.32875e-05,0.0103637,0.710566,73.2.,1200
|
||||
5.93684e-05,0.0103637,0.688111,84.76.,694
|
||||
5.17231e-05,0.0103637,0.692695,73.4001.,1904
|
||||
4.92345e-05,0.0103637,0.697164,92.3227.,651
|
||||
5.09248e-05,0.0103637,0.705689,84.2123.,838
|
||||
5.77824e-05,0.0103637,0.695727,84.2583.,934
|
||||
6.0101e-05,0.0103637,0.708621,78.5571.,890
|
||||
7.71719e-05,0.0103637,0.691677,89.2675.,413
|
||||
6.55075e-05,0.0103637,0.713333,81.8836.,698
|
||||
0.000101797,0.0103637,0.703862,83.885.,976
|
||||
7.79595e-05,0.0103637,0.698338,91.469.,560
|
||||
0.000105659,0.0103637,0.696847,81.0534.,567
|
||||
8.72629e-05,0.0103637,0.704344,90.3739.,964
|
||||
8.31702e-05,0.0103637,0.697422,85.6114.,1014
|
||||
8.6789e-05,0.0103637,0.698602,91.687.,521
|
||||
7.10164e-05,0.0103637,0.7117,90.1008.,429
|
||||
0.000101594,0.0103637,0.702448,89.7677.,515
|
||||
0.000103224,0.0103637,0.692531,79.4512.,1146
|
||||
8.97257e-05,0.0103637,0.700891,86.5543.,643
|
||||
8.25712e-05,0.0103637,0.703818,88.7329.,628
|
||||
7.03787e-05,0.0103637,0.702183,91.8764.,620
|
||||
5.56783e-05,0.0103637,0.695291,85.9747.,514
|
||||
9.51288e-05,0.0103637,0.705779,82.843.,486
|
||||
7.92477e-05,0.0103637,0.699163,83.5281.,450
|
||||
7.05724e-05,0.0103637,0.698192,78.0961.,1108
|
||||
3.93866e-05,0.0103637,0.690332,104.49.,396
|
||||
8.71878e-05,0.0103637,0.69152,88.2734.,576
|
||||
8.24219e-05,0.0103637,0.69624,102.032.,365
|
||||
0.000124221,0.0103637,0.691391,85.7869.,626
|
||||
5.84913e-05,0.0103637,0.68327,90.7034.,538
|
||||
8.13743e-05,0.0103637,0.708162,89.582.,517
|
||||
8.26589e-05,0.0103637,0.697338,83.1789.,776
|
||||
7.39471e-05,0.0103637,0.723246,75.4405.,980
|
||||
5.31401e-05,0.0103637,0.700546,79.2881.,688
|
||||
7.2695e-05,0.0103637,0.701524,86.13.,655
|
||||
5.20609e-05,0.0103637,0.708881,85.3256.,544
|
||||
8.70549e-05,0.0103637,0.694314,83.3977.,1043
|
||||
8.10432e-05,0.0103637,0.698992,84.789.,346
|
||||
7.37989e-05,0.0103637,0.701496,88.6137.,628
|
||||
8.71038e-05,0.0103637,0.699252,82.1479.,722
|
||||
5.45338e-05,0.0103637,0.698811,75.152.,1091
|
||||
8.03217e-05,0.0103637,0.705705,82.7487.,520
|
||||
5.41156e-05,0.0103637,0.709819,84.791.,563
|
||||
5.61967e-05,0.0103637,0.699009,93.4055.,421
|
||||
9.10031e-05,0.0103637,0.71564,74.1192.,1174
|
||||
8.14274e-05,0.0103637,0.720275,83.2161.,659
|
||||
5.95189e-05,0.0103637,0.695324,94.8049.,409
|
||||
9.35358e-05,0.0103637,0.69516,72.2744.,940
|
||||
9.20895e-05,0.0103637,0.702738,93.935.,271
|
||||
5.44486e-05,0.0103637,0.700355,96.7835.,658
|
||||
8.01134e-05,0.0103637,0.709106,86.4099.,837
|
||||
0.000126472,0.0103637,0.717211,87.3714.,238
|
||||
9.41776e-05,0.0103637,0.69913,77.0284.,825
|
||||
9.04576e-05,0.0103637,0.68161,74.9314.,905
|
||||
5.60715e-05,0.0103637,0.693052,87.7317.,586
|
||||
5.48228e-05,0.0103637,0.701331,91.005.,426
|
||||
7.2926e-05,0.0103637,0.710403,76.2978.,988
|
||||
7.8762e-05,0.0103637,0.688174,84.0268.,1029
|
||||
6.12664e-05,0.0103637,0.68999,82.958.,723
|
||||
7.71916e-05,0.0103637,0.704695,80.859.,877
|
||||
6.14353e-05,0.0103637,0.72228,78.3619.,827
|
||||
0.000117261,0.0103637,0.697211,87.6379.,627
|
||||
6.42763e-05,0.0103637,0.701242,82.0693.,796
|
||||
5.84661e-05,0.0103637,0.701132,75.4678.,1262
|
||||
3.73013e-05,0.0103637,0.693116,85.7208.,677
|
||||
7.05513e-05,0.0103637,0.722625,78.6163.,860
|
||||
5.73876e-05,0.0103637,0.706571,97.2452.,392
|
||||
7.54649e-05,0.0103637,0.702395,80.0625.,810
|
||||
5.35854e-05,0.0103637,0.706181,85.7072.,755
|
||||
8.22107e-05,0.0103637,0.700251,75.0646.,1089
|
||||
7.8252e-05,0.0103637,0.684139,82.1324.,773
|
||||
8.1221e-05,0.0103637,0.691527,90.3791.,611
|
||||
0.000110163,0.0103637,0.702362,99.9413.,506
|
||||
5.54961e-05,0.0103637,0.709284,72.5502.,882
|
||||
7.37375e-05,0.0103637,0.696269,83.4268.,761
|
||||
8.96068e-05,0.0103637,0.707139,87.4954.,393
|
||||
5.39211e-05,0.0103637,0.696067,83.3203.,762
|
||||
7.70122e-05,0.0103637,0.702879,91.7128.,613
|
||||
6.90773e-05,0.0103637,0.696191,105.032,341
|
||||
7.57369e-05,0.0103637,0.693269,91.0336,459
|
||||
5.95909e-05,0.0103637,0.712521,74.0894,1033
|
||||
4.89834e-05,0.0103637,0.705441,77.0829,794
|
||||
8.55427e-05,0.0103637,0.706556,84.9413,770
|
||||
6.69145e-05,0.0103637,0.694754,103.909,501
|
||||
8.78648e-05,0.0103637,0.697778,88.0771,1023
|
||||
4.89849e-05,0.0103637,0.693094,93.4708,847
|
||||
7.05473e-05,0.0103637,0.698525,83.1573,1650
|
||||
6.45204e-05,0.0103637,0.703132,80.9548,760
|
||||
8.39504e-05,0.0103637,0.693773,78.1902,1161
|
||||
8.95153e-05,0.0103637,0.703214,84.7296,755
|
||||
8.94125e-05,0.0103637,0.683541,94.4156,468
|
||||
7.65955e-05,0.0103637,0.699209,84.0696,618
|
||||
8.48235e-05,0.0103637,0.694151,83.4435,893
|
||||
9.25653e-05,0.0103637,0.696425,88.5741,486
|
||||
8.37081e-05,0.0103637,0.705391,77.5017,773
|
||||
9.46274e-05,0.0103637,0.701869,82.8934,558
|
||||
5.84861e-05,0.0103637,0.696648,89.5173,466
|
||||
9.22039e-05,0.0103637,0.712275,92.6297,329
|
||||
0.00012461,0.0103637,0.683813,88.5844,399
|
||||
7.19627e-05,0.0103637,0.700576,82.1173,915
|
||||
7.32875e-05,0.0103637,0.710566,73.2,1200
|
||||
5.93684e-05,0.0103637,0.688111,84.76,694
|
||||
5.17231e-05,0.0103637,0.692695,73.4001,1904
|
||||
4.92345e-05,0.0103637,0.697164,92.3227,651
|
||||
5.09248e-05,0.0103637,0.705689,84.2123,838
|
||||
5.77824e-05,0.0103637,0.695727,84.2583,934
|
||||
6.0101e-05,0.0103637,0.708621,78.5571,890
|
||||
7.71719e-05,0.0103637,0.691677,89.2675,413
|
||||
6.55075e-05,0.0103637,0.713333,81.8836,698
|
||||
0.000101797,0.0103637,0.703862,83.885,976
|
||||
7.79595e-05,0.0103637,0.698338,91.469,560
|
||||
0.000105659,0.0103637,0.696847,81.0534,567
|
||||
8.72629e-05,0.0103637,0.704344,90.3739,964
|
||||
8.31702e-05,0.0103637,0.697422,85.6114,1014
|
||||
8.6789e-05,0.0103637,0.698602,91.687,521
|
||||
7.10164e-05,0.0103637,0.7117,90.1008,429
|
||||
0.000101594,0.0103637,0.702448,89.7677,515
|
||||
0.000103224,0.0103637,0.692531,79.4512,1146
|
||||
8.97257e-05,0.0103637,0.700891,86.5543,643
|
||||
8.25712e-05,0.0103637,0.703818,88.7329,628
|
||||
7.03787e-05,0.0103637,0.702183,91.8764,620
|
||||
5.56783e-05,0.0103637,0.695291,85.9747,514
|
||||
9.51288e-05,0.0103637,0.705779,82.843,486
|
||||
7.92477e-05,0.0103637,0.699163,83.5281,450
|
||||
7.05724e-05,0.0103637,0.698192,78.0961,1108
|
||||
3.93866e-05,0.0103637,0.690332,104.49,396
|
||||
8.71878e-05,0.0103637,0.69152,88.2734,576
|
||||
8.24219e-05,0.0103637,0.69624,102.032,365
|
||||
0.000124221,0.0103637,0.691391,85.7869,626
|
||||
5.84913e-05,0.0103637,0.68327,90.7034,538
|
||||
8.13743e-05,0.0103637,0.708162,89.582,517
|
||||
8.26589e-05,0.0103637,0.697338,83.1789,776
|
||||
7.39471e-05,0.0103637,0.723246,75.4405,980
|
||||
5.31401e-05,0.0103637,0.700546,79.2881,688
|
||||
7.2695e-05,0.0103637,0.701524,86.13,655
|
||||
5.20609e-05,0.0103637,0.708881,85.3256,544
|
||||
8.70549e-05,0.0103637,0.694314,83.3977,1043
|
||||
8.10432e-05,0.0103637,0.698992,84.789,346
|
||||
7.37989e-05,0.0103637,0.701496,88.6137,628
|
||||
8.71038e-05,0.0103637,0.699252,82.1479,722
|
||||
5.45338e-05,0.0103637,0.698811,75.152,1091
|
||||
8.03217e-05,0.0103637,0.705705,82.7487,520
|
||||
5.41156e-05,0.0103637,0.709819,84.791,563
|
||||
5.61967e-05,0.0103637,0.699009,93.4055,421
|
||||
9.10031e-05,0.0103637,0.71564,74.1192,1174
|
||||
8.14274e-05,0.0103637,0.720275,83.2161,659
|
||||
5.95189e-05,0.0103637,0.695324,94.8049,409
|
||||
9.35358e-05,0.0103637,0.69516,72.2744,940
|
||||
9.20895e-05,0.0103637,0.702738,93.935,271
|
||||
5.44486e-05,0.0103637,0.700355,96.7835,658
|
||||
8.01134e-05,0.0103637,0.709106,86.4099,837
|
||||
0.000126472,0.0103637,0.717211,87.3714,238
|
||||
9.41776e-05,0.0103637,0.69913,77.0284,825
|
||||
9.04576e-05,0.0103637,0.68161,74.9314,905
|
||||
5.60715e-05,0.0103637,0.693052,87.7317,586
|
||||
5.48228e-05,0.0103637,0.701331,91.005,426
|
||||
7.2926e-05,0.0103637,0.710403,76.2978,988
|
||||
7.8762e-05,0.0103637,0.688174,84.0268,1029
|
||||
6.12664e-05,0.0103637,0.68999,82.958,723
|
||||
7.71916e-05,0.0103637,0.704695,80.859,877
|
||||
6.14353e-05,0.0103637,0.72228,78.3619,827
|
||||
0.000117261,0.0103637,0.697211,87.6379,627
|
||||
6.42763e-05,0.0103637,0.701242,82.0693,796
|
||||
5.84661e-05,0.0103637,0.701132,75.4678,1262
|
||||
3.73013e-05,0.0103637,0.693116,85.7208,677
|
||||
7.05513e-05,0.0103637,0.722625,78.6163,860
|
||||
5.73876e-05,0.0103637,0.706571,97.2452,392
|
||||
7.54649e-05,0.0103637,0.702395,80.0625,810
|
||||
5.35854e-05,0.0103637,0.706181,85.7072,755
|
||||
8.22107e-05,0.0103637,0.700251,75.0646,1089
|
||||
7.8252e-05,0.0103637,0.684139,82.1324,773
|
||||
8.1221e-05,0.0103637,0.691527,90.3791,611
|
||||
0.000110163,0.0103637,0.702362,99.9413,506
|
||||
5.54961e-05,0.0103637,0.709284,72.5502,882
|
||||
7.37375e-05,0.0103637,0.696269,83.4268,761
|
||||
8.96068e-05,0.0103637,0.707139,87.4954,393
|
||||
5.39211e-05,0.0103637,0.696067,83.3203,762
|
||||
7.70122e-05,0.0103637,0.702879,91.7128,613
|
||||
|
||||
|
101
dokumentation/evolution3d/20171005_3dFit_7x4x4_100times.error
Normal file
101
dokumentation/evolution3d/20171005_3dFit_7x4x4_100times.error
Normal file
@ -0,0 +1,101 @@
|
||||
"Evolution error
|
||||
105.032
|
||||
91.0336
|
||||
74.0894
|
||||
77.0829
|
||||
84.9413
|
||||
103.909
|
||||
88.0771
|
||||
93.4708
|
||||
83.1573
|
||||
80.9548
|
||||
78.1902
|
||||
84.7296
|
||||
94.4156
|
||||
84.0696
|
||||
83.4435
|
||||
88.5741
|
||||
77.5017
|
||||
82.8934
|
||||
89.5173
|
||||
92.6297
|
||||
88.5844
|
||||
82.1173
|
||||
73.2
|
||||
84.76
|
||||
73.4001
|
||||
92.3227
|
||||
84.2123
|
||||
84.2583
|
||||
78.5571
|
||||
89.2675
|
||||
81.8836
|
||||
83.885
|
||||
91.469
|
||||
81.0534
|
||||
90.3739
|
||||
85.6114
|
||||
91.687
|
||||
90.1008
|
||||
89.7677
|
||||
79.4512
|
||||
86.5543
|
||||
88.7329
|
||||
91.8764
|
||||
85.9747
|
||||
82.843
|
||||
83.5281
|
||||
78.0961
|
||||
104.49
|
||||
88.2734
|
||||
102.032
|
||||
85.7869
|
||||
90.7034
|
||||
89.582
|
||||
83.1789
|
||||
75.4405
|
||||
79.2881
|
||||
86.13
|
||||
85.3256
|
||||
83.3977
|
||||
84.789
|
||||
88.6137
|
||||
82.1479
|
||||
75.152
|
||||
82.7487
|
||||
84.791
|
||||
93.4055
|
||||
74.1192
|
||||
83.2161
|
||||
94.8049
|
||||
72.2744
|
||||
93.935
|
||||
96.7835
|
||||
86.4099
|
||||
87.3714
|
||||
77.0284
|
||||
74.9314
|
||||
87.7317
|
||||
91.005
|
||||
76.2978
|
||||
84.0268
|
||||
82.958
|
||||
80.859
|
||||
78.3619
|
||||
87.6379
|
||||
82.0693
|
||||
75.4678
|
||||
85.7208
|
||||
78.6163
|
||||
97.2452
|
||||
80.0625
|
||||
85.7072
|
||||
75.0646
|
||||
82.1324
|
||||
90.3791
|
||||
99.9413
|
||||
72.5502
|
||||
83.4268
|
||||
87.4954
|
||||
83.3203
|
||||
91.7128
|
||||
@ -0,0 +1,9 @@
|
||||
[1] "================ Analyzing 20171005_3dFit_7x4x4_100times.csv"
|
||||
[1] "Mean:"
|
||||
[1] 85.37222
|
||||
[1] "Median:"
|
||||
[1] 84.7745
|
||||
[1] "Sigma:"
|
||||
[1] 7.117153
|
||||
[1] "Range:"
|
||||
[1] 72.2744 105.0320
|
||||
@ -0,0 +1,49 @@
|
||||
[1] "================ Analyzing 20171005_3dFit_7x4x4_100times.csv"
|
||||
[1] "spearman for improvement-potential vs. evolution-error"
|
||||
x y
|
||||
x 1.00 -0.23
|
||||
y -0.23 1.00
|
||||
|
||||
n= 100
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0.0233
|
||||
y 0.0233
|
||||
[1] "spearman for improvement-potential vs. steps"
|
||||
x y
|
||||
x 1.00 0.06
|
||||
y 0.06 1.00
|
||||
|
||||
n= 100
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0.5405
|
||||
y 0.5405
|
||||
[1] "spearman for regularity vs. steps"
|
||||
x y
|
||||
x 1.00 -0.09
|
||||
y -0.09 1.00
|
||||
|
||||
n= 100
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0.37
|
||||
y 0.37
|
||||
[1] "spearman for variability vs. evolution-error"
|
||||
x y
|
||||
x 1 NaN
|
||||
y NaN 1
|
||||
|
||||
n= 100
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x
|
||||
y
|
||||
@ -1,401 +1,401 @@
|
||||
regularity,variability,improvement,"Evolution error",steps
|
||||
6.57581e-05,0.00592209,0.622392,113.016.,2368
|
||||
5.16451e-05,0.00592209,0.610293,118.796.,2433
|
||||
6.45083e-05,0.00592209,0.592139,127.157.,1655
|
||||
7.14801e-05,0.00592209,0.624039,121.613.,1933
|
||||
5.62707e-05,0.00592209,0.611091,119.539.,2618
|
||||
5.55953e-05,0.00592209,0.625812,119.512.,2505
|
||||
5.96026e-05,0.00592209,0.622873,118.285.,1582
|
||||
6.63676e-05,0.00592209,0.602386,126.579.,2214
|
||||
5.93125e-05,0.00592209,0.608913,122.512.,2262
|
||||
6.05066e-05,0.00592209,0.621467,118.473.,2465
|
||||
6.42976e-05,0.00592209,0.602593,121.998.,2127
|
||||
5.32868e-05,0.00592209,0.616501,115.313.,2746
|
||||
5.47856e-05,0.00592209,0.615173,118.034.,2148
|
||||
6.47209e-05,0.00592209,0.603935,120.003.,2304
|
||||
7.07812e-05,0.00592209,0.620422,123.494.,1941
|
||||
6.49313e-05,0.00592209,0.616232,122.989.,2214
|
||||
6.64295e-05,0.00592209,0.605206,123.757.,1675
|
||||
5.88806e-05,0.00592209,0.628055,110.67.,2230
|
||||
7.56461e-05,0.00592209,0.625361,121.232.,2187
|
||||
4.932e-05,0.00592209,0.612261,120.979.,2280
|
||||
5.45998e-05,0.00592209,0.61935,115.394.,2380
|
||||
6.10654e-05,0.00592209,0.614029,116.928.,2327
|
||||
6.09488e-05,0.00592209,0.611892,125.294.,1609
|
||||
5.85691e-05,0.00592209,0.632686,111.635.,2831
|
||||
6.87292e-05,0.00592209,0.61519,114.681.,2565
|
||||
6.53377e-05,0.00592209,0.627408,111.935.,2596
|
||||
6.98345e-05,0.00592209,0.616158,111.392.,2417
|
||||
7.90547e-05,0.00592209,0.620575,115.346.,2031
|
||||
6.50231e-05,0.00592209,0.625725,119.055.,1842
|
||||
6.76541e-05,0.00592209,0.625399,117.452.,1452
|
||||
5.72222e-05,0.00592209,0.614171,123.379.,2186
|
||||
7.42483e-05,0.00592209,0.624683,115.053.,2236
|
||||
6.9354e-05,0.00592209,0.619596,123.994.,1688
|
||||
5.75478e-05,0.00592209,0.605051,118.576.,1930
|
||||
6.01309e-05,0.00592209,0.617511,116.894.,2184
|
||||
6.69251e-05,0.00592209,0.608408,120.129.,2007
|
||||
4.66926e-05,0.00592209,0.60606,126.708.,1552
|
||||
4.90102e-05,0.00592209,0.618673,114.595.,2783
|
||||
5.51505e-05,0.00592209,0.619245,120.056.,2463
|
||||
6.1007e-05,0.00592209,0.605215,122.057.,1493
|
||||
5.04717e-05,0.00592209,0.623503,116.846.,2620
|
||||
6.3578e-05,0.00592209,0.625261,124.35.,2193
|
||||
5.8875e-05,0.00592209,0.624526,118.43.,2502
|
||||
7.95299e-05,0.00592209,0.611719,116.574.,1849
|
||||
6.42733e-05,0.00592209,0.608178,128.474.,2078
|
||||
6.41674e-05,0.00592209,0.624042,111.111.,2037
|
||||
4.88661e-05,0.00592209,0.615408,120.004.,2627
|
||||
7.27714e-05,0.00592209,0.626926,119.866.,2128
|
||||
4.84641e-05,0.00592209,0.608054,119.676.,2408
|
||||
6.66562e-05,0.00592209,0.603902,128.957.,1668
|
||||
5.99872e-05,0.00592209,0.63676,108.467.,3448
|
||||
7.73127e-05,0.00592209,0.62232,123.353.,1551
|
||||
6.67597e-05,0.00592209,0.621411,123.301.,2180
|
||||
5.2819e-05,0.00592209,0.617515,114.838.,4096
|
||||
5.29257e-05,0.00592209,0.622611,118.611.,1973
|
||||
5.35212e-05,0.00592209,0.62533,109.616.,3424
|
||||
7.1947e-05,0.00592209,0.632331,113.565.,2905
|
||||
5.04311e-05,0.00592209,0.611559,120.01.,2147
|
||||
6.57161e-05,0.00592209,0.617789,125.441.,1820
|
||||
5.18695e-05,0.00592209,0.610402,122.541.,2430
|
||||
6.47262e-05,0.00592209,0.609141,123.169.,1989
|
||||
5.87925e-05,0.00592209,0.61627,117.344.,2143
|
||||
4.36904e-05,0.00592209,0.631954,112.674.,3526
|
||||
6.45195e-05,0.00592209,0.614402,118.787.,1765
|
||||
5.8354e-05,0.00592209,0.615515,112.061.,2368
|
||||
7.14669e-05,0.00592209,0.628382,110.262.,1923
|
||||
7.24908e-05,0.00592209,0.610848,116.504.,1830
|
||||
5.98617e-05,0.00592209,0.622949,109.607.,3609
|
||||
5.90411e-05,0.00592209,0.629175,122.198.,1859
|
||||
5.25569e-05,0.00592209,0.621253,124.527.,1876
|
||||
5.86979e-05,0.00592209,0.612603,120.886.,2916
|
||||
4.73113e-05,0.00592209,0.610586,119.176.,2072
|
||||
5.8777e-05,0.00592209,0.62863,121.081.,2338
|
||||
5.6608e-05,0.00592209,0.617215,121.038.,3021
|
||||
5.74614e-05,0.00592209,0.626088,112.392.,2182
|
||||
6.86466e-05,0.00592209,0.631893,121.148.,2246
|
||||
4.77969e-05,0.00592209,0.635218,117.053.,2939
|
||||
5.50553e-05,0.00592209,0.610707,123.651.,1417
|
||||
6.89628e-05,0.00592209,0.638474,128.446.,1840
|
||||
6.85622e-05,0.00592209,0.620769,115.527.,2116
|
||||
5.28017e-05,0.00592209,0.614948,121.456.,2178
|
||||
7.06916e-05,0.00592209,0.61804,127.418.,2354
|
||||
6.81788e-05,0.00592209,0.616056,113.541.,2768
|
||||
7.89711e-05,0.00592209,0.615108,116.805.,2293
|
||||
5.84297e-05,0.00592209,0.612733,123.244.,2206
|
||||
5.53374e-05,0.00592209,0.605062,123.095.,1902
|
||||
5.51739e-05,0.00592209,0.631543,115.9.,3145
|
||||
6.9413e-05,0.00592209,0.59103,124.024.,1475
|
||||
5.08739e-05,0.00592209,0.621454,114.685.,3356
|
||||
5.95256e-05,0.00592209,0.626188,113.428.,2336
|
||||
5.63659e-05,0.00592209,0.618554,117.456.,2105
|
||||
6.32019e-05,0.00592209,0.616926,122.15.,1799
|
||||
6.05333e-05,0.00592209,0.613481,124.576.,1873
|
||||
5.35997e-05,0.00592209,0.621122,113.63.,2834
|
||||
5.94187e-05,0.00592209,0.606925,126.608.,1970
|
||||
6.52182e-05,0.00592209,0.610882,129.916.,1246
|
||||
6.78626e-05,0.00592209,0.608581,119.673.,2155
|
||||
5.12495e-05,0.00592209,0.6262,116.233.,3037
|
||||
6.7083e-05,0.00592209,0.608299,125.086.,1595
|
||||
6.74099e-05,0.00592209,0.620429,112.897.,2800
|
||||
7.0689e-05,0.0115666,0.73748,73.9627.,781
|
||||
8.30021e-05,0.0115666,0.733986,79.3303.,965
|
||||
0.000115663,0.0115666,0.754351,72.8373.,1029
|
||||
0.000115101,0.0115666,0.761361,60.0032.,1435
|
||||
0.000130222,0.0115666,0.760933,80.1321.,1189
|
||||
0.000134453,0.0115666,0.765,66.1526.,1209
|
||||
0.000108858,0.0115666,0.741158,74.6032.,940
|
||||
0.000100633,0.0115666,0.742555,71.3161.,874
|
||||
9.22496e-05,0.0115666,0.750011,71.9377.,1407
|
||||
7.41514e-05,0.0115666,0.742094,70.127.,1525
|
||||
0.000149467,0.0115666,0.75484,61.7195.,1705
|
||||
0.000168885,0.0115666,0.73862,86.6101.,593
|
||||
0.000122462,0.0115666,0.731222,77.235.,770
|
||||
0.000117266,0.0115666,0.757041,70.3058.,1136
|
||||
0.000119127,0.0115666,0.747804,73.3268.,890
|
||||
0.000124455,0.0115666,0.748928,72.8603.,743
|
||||
9.47125e-05,0.0115666,0.738797,70.5867.,1935
|
||||
7.9171e-05,0.0115666,0.741438,79.8851.,1007
|
||||
9.00926e-05,0.0115666,0.729562,89.169.,854
|
||||
9.71306e-05,0.0115666,0.73793,86.3505.,849
|
||||
0.000113959,0.0115666,0.738424,77.8282.,842
|
||||
0.000108279,0.0115666,0.755674,70.418.,1942
|
||||
6.42834e-05,0.0115666,0.740169,82.3889.,861
|
||||
8.8094e-05,0.0115666,0.737385,80.3257.,902
|
||||
8.57496e-05,0.0115666,0.731752,85.6612.,649
|
||||
7.97196e-05,0.0115666,0.764609,76.2377.,671
|
||||
0.000107926,0.0115666,0.747697,76.8062.,905
|
||||
5.63544e-05,0.0115666,0.740041,75.0253.,1091
|
||||
0.000127036,0.0115666,0.746509,73.6296.,1218
|
||||
8.93177e-05,0.0115666,0.750775,71.8145.,1018
|
||||
7.13592e-05,0.0115666,0.746741,82.1172.,1052
|
||||
0.000121511,0.0115666,0.747184,68.4228.,1322
|
||||
0.000154913,0.0115666,0.736936,74.5628.,937
|
||||
0.000120138,0.0115666,0.75356,82.4297.,698
|
||||
5.97068e-05,0.0115666,0.744391,74.6568.,952
|
||||
0.000104185,0.0115666,0.7341,76.5874.,1223
|
||||
0.000123751,0.0115666,0.735266,82.2821.,715
|
||||
0.000108341,0.0115666,0.744947,71.321.,1058
|
||||
9.75329e-05,0.0115666,0.746476,80.1887.,1033
|
||||
6.51759e-05,0.0115666,0.754359,60.0022.,3631
|
||||
9.35949e-05,0.0115666,0.733867,73.5674.,1300
|
||||
8.56673e-05,0.0115666,0.744773,68.7547.,1081
|
||||
7.41782e-05,0.0115666,0.754371,97.4154.,907
|
||||
0.000111943,0.0115666,0.749778,81.1639.,1013
|
||||
8.48407e-05,0.0115666,0.726201,82.2747.,473
|
||||
6.14894e-05,0.0115666,0.746102,70.415.,938
|
||||
6.76652e-05,0.0115666,0.736705,72.564.,881
|
||||
9.73343e-05,0.0115666,0.754973,70.1961.,1019
|
||||
9.54201e-05,0.0115666,0.718442,83.8507.,762
|
||||
7.51464e-05,0.0115666,0.736317,82.3622.,646
|
||||
0.000105639,0.0115666,0.741073,74.3285.,1122
|
||||
0.000131041,0.0115666,0.735624,84.2108.,860
|
||||
0.000136142,0.0115666,0.754096,69.7744.,1124
|
||||
8.76576e-05,0.0115666,0.734191,82.1376.,889
|
||||
8.54651e-05,0.0115666,0.731117,74.2818.,715
|
||||
0.000121696,0.0115666,0.736555,78.989.,1029
|
||||
0.000124672,0.0115666,0.748948,82.2812.,939
|
||||
0.000135654,0.0115666,0.738358,74.0614.,1106
|
||||
7.8306e-05,0.0115666,0.73738,83.257.,390
|
||||
0.000117894,0.0115666,0.756543,72.454.,1223
|
||||
0.000107745,0.0115666,0.729775,71.9554.,1000
|
||||
0.000177142,0.0115666,0.733159,93.8159.,756
|
||||
0.000120879,0.0115666,0.752328,64.5602.,979
|
||||
0.000160079,0.0115666,0.737225,81.597.,836
|
||||
0.000108096,0.0115666,0.737118,74.8947.,802
|
||||
0.000104671,0.0115666,0.746382,71.937.,1625
|
||||
8.82439e-05,0.0115666,0.739388,82.8423.,728
|
||||
0.000128997,0.0115666,0.754149,66.0827.,1490
|
||||
0.0001338,0.0115666,0.751957,79.8222.,859
|
||||
0.000112858,0.0115666,0.745379,80.2208.,729
|
||||
0.000114923,0.0115666,0.749297,76.7288.,856
|
||||
7.53845e-05,0.0115666,0.748722,75.2866.,842
|
||||
7.55779e-05,0.0115666,0.77028,75.6383.,970
|
||||
8.87548e-05,0.0115666,0.743615,79.3073.,806
|
||||
8.4754e-05,0.0115666,0.760469,69.5742.,1140
|
||||
0.000129571,0.0115666,0.745269,76.4946.,975
|
||||
0.000110111,0.0115666,0.737088,92.7633.,599
|
||||
6.87804e-05,0.0115666,0.744389,83.3937.,775
|
||||
0.000101892,0.0115666,0.743134,83.8943.,728
|
||||
0.000105793,0.0115666,0.742164,73.5603.,1486
|
||||
0.000108123,0.0115666,0.751606,76.8801.,1162
|
||||
0.000109415,0.0115666,0.75257,70.703.,1264
|
||||
0.000118515,0.0115666,0.746588,69.1493.,1822
|
||||
0.000143603,0.0115666,0.762834,79.6539.,647
|
||||
8.09027e-05,0.0115666,0.74586,83.4016.,810
|
||||
8.85206e-05,0.0115666,0.719237,88.5801.,1201
|
||||
9.85622e-05,0.0115666,0.73017,85.8292.,843
|
||||
0.000116044,0.0115666,0.741297,72.5448.,1369
|
||||
0.000104403,0.0115666,0.737101,82.2857.,788
|
||||
0.000106433,0.0115666,0.741242,83.8247.,1129
|
||||
6.46802e-05,0.0115666,0.746106,78.3849.,497
|
||||
8.77417e-05,0.0115666,0.744569,84.6062.,810
|
||||
0.000103672,0.0115666,0.739614,75.7662.,1202
|
||||
7.23422e-05,0.0115666,0.742384,78.4256.,687
|
||||
7.63333e-05,0.0115666,0.740292,68.3999.,1707
|
||||
0.000167486,0.0115666,0.735526,72.1529.,1386
|
||||
8.76744e-05,0.0115666,0.736893,78.0544.,775
|
||||
7.8021e-05,0.0115666,0.740389,89.1144.,578
|
||||
7.86278e-05,0.0115666,0.722219,86.8059.,708
|
||||
0.000152359,0.0115666,0.740523,75.2054.,976
|
||||
0.000136559,0.00740261,0.64595,104.911.,1607
|
||||
0.000119061,0.00740261,0.648063,102.122.,2160
|
||||
0.00014586,0.00740261,0.662359,100.463.,1781
|
||||
0.000143911,0.00740261,0.647409,111.329.,1435
|
||||
0.000100089,0.00740261,0.660347,104.712.,1394
|
||||
0.00019449,0.00740261,0.643112,100.048.,1764
|
||||
0.000139001,0.00740261,0.636985,102.05.,1923
|
||||
9.23895e-05,0.00740261,0.651932,98.3549.,2200
|
||||
0.000151896,0.00740261,0.654589,93.4038.,2609
|
||||
9.96526e-05,0.00740261,0.663458,104.028.,1515
|
||||
0.000140183,0.00740261,0.655494,102.965.,1602
|
||||
0.000146938,0.00740261,0.656983,102.822.,1591
|
||||
0.000127648,0.00740261,0.644146,97.9662.,2250
|
||||
0.000133108,0.00740261,0.653198,100.341.,2206
|
||||
0.000136798,0.00740261,0.639845,109.73.,1540
|
||||
0.000101394,0.00740261,0.6633,99.6362.,2820
|
||||
0.000125845,0.00740261,0.647015,113.29.,1861
|
||||
0.000104427,0.00740261,0.647875,112.572.,1198
|
||||
0.000140362,0.00740261,0.669356,86.3175.,2124
|
||||
0.000114307,0.00740261,0.669332,91.637.,2806
|
||||
9.09613e-05,0.00740261,0.653191,107.27.,1502
|
||||
0.000130204,0.00740261,0.651758,110.797.,1133
|
||||
0.00014725,0.00740261,0.649409,99.0484.,1656
|
||||
0.000110507,0.00740261,0.651763,94.2222.,2395
|
||||
0.000153747,0.00740261,0.653734,104.417.,2041
|
||||
0.000108131,0.00740261,0.648279,96.4144.,2267
|
||||
0.000126425,0.00740261,0.658424,108.23.,1793
|
||||
0.00011876,0.00740261,0.658874,98.5045.,1906
|
||||
7.79227e-05,0.00740261,0.664063,93.4554.,2181
|
||||
0.000124995,0.00740261,0.649892,110.564.,1778
|
||||
0.000135721,0.00740261,0.665436,104.082.,1365
|
||||
0.000108043,0.00740261,0.665742,95.1024.,2120
|
||||
0.00013341,0.00740261,0.654181,100.132.,2496
|
||||
0.000107614,0.00740261,0.659173,102.451.,2798
|
||||
0.000126198,0.00740261,0.643969,116.302.,1655
|
||||
0.000110899,0.00740261,0.660032,98.5173.,2555
|
||||
0.000158971,0.00740261,0.641391,104.428.,1847
|
||||
0.000156538,0.00740261,0.647057,104.909.,2023
|
||||
0.000124514,0.00740261,0.649594,106.289.,1776
|
||||
0.000141513,0.00740261,0.650988,106.708.,1510
|
||||
0.000138867,0.00740261,0.653552,108.022.,1558
|
||||
9.31002e-05,0.00740261,0.648143,97.8253.,2547
|
||||
0.00011634,0.00740261,0.659954,114.829.,1103
|
||||
0.000104627,0.00740261,0.658879,115.054.,1440
|
||||
0.000136417,0.00740261,0.6429,106.6.,1345
|
||||
0.00012931,0.00740261,0.63474,105.157.,1201
|
||||
0.000107738,0.00740261,0.671551,93.2856.,2956
|
||||
0.000114915,0.00740261,0.654224,98.8994.,1428
|
||||
0.000104432,0.00740261,0.642969,117.524.,1103
|
||||
0.00013635,0.00740261,0.671219,97.0705.,2329
|
||||
0.00014468,0.00740261,0.64633,95.9897.,1552
|
||||
0.000131339,0.00740261,0.65456,104.384.,2112
|
||||
0.000137424,0.00740261,0.641967,104.01.,1864
|
||||
0.000119603,0.00740261,0.643056,104.585.,1573
|
||||
0.000152567,0.00740261,0.66439,98.8101.,1297
|
||||
9.48346e-05,0.00740261,0.657038,104.262.,2105
|
||||
0.000134127,0.00740261,0.65476,95.1758.,2638
|
||||
0.000115945,0.00740261,0.655308,109.61.,1354
|
||||
8.95548e-05,0.00740261,0.642705,96.3427.,2743
|
||||
0.000177255,0.00740261,0.658675,106.331.,1506
|
||||
9.39073e-05,0.00740261,0.655253,103.753.,1723
|
||||
0.000118136,0.00740261,0.646319,106.698.,1690
|
||||
0.000143213,0.00740261,0.662647,97.9397.,1209
|
||||
0.000124885,0.00740261,0.65789,106.656.,1534
|
||||
0.000122815,0.00740261,0.673803,102.299.,1433
|
||||
0.00011158,0.00740261,0.652635,104.71.,1827
|
||||
0.000143072,0.00740261,0.651031,99.6516.,1526
|
||||
0.000121757,0.00740261,0.681384,85.3402.,4935
|
||||
9.94695e-05,0.00740261,0.651079,103.875.,2087
|
||||
0.000161101,0.00740261,0.654378,99.7871.,1947
|
||||
0.000122246,0.00740261,0.65679,99.823.,2190
|
||||
0.000147347,0.00740261,0.6422,110.554.,1301
|
||||
0.000112197,0.00740261,0.654611,114.952.,998
|
||||
0.00011529,0.00740261,0.643761,99.7046.,1245
|
||||
0.000161519,0.00740261,0.653702,96.1227.,2219
|
||||
0.000137877,0.00740261,0.646996,94.9822.,3061
|
||||
0.000113204,0.00740261,0.629358,109.207.,1124
|
||||
0.000160504,0.00740261,0.643509,106.855.,1157
|
||||
0.000115618,0.00740261,0.667462,110.589.,1601
|
||||
0.000155458,0.00740261,0.663885,96.4926.,1549
|
||||
0.00012474,0.00740261,0.64672,104.201.,1704
|
||||
0.000147478,0.00740261,0.656898,95.364.,2012
|
||||
0.000134001,0.00740261,0.648474,95.9782.,1790
|
||||
0.00013438,0.00740261,0.648077,109.152.,1449
|
||||
0.000140607,0.00740261,0.640552,99.7984.,1505
|
||||
0.000107889,0.00740261,0.663999,106.249.,1998
|
||||
0.000149274,0.00740261,0.662709,91.3925.,1790
|
||||
0.000121329,0.00740261,0.647837,102.095.,2291
|
||||
0.000104416,0.00740261,0.663697,108.615.,1725
|
||||
0.000103746,0.00740261,0.656774,100.235.,2358
|
||||
9.74274e-05,0.00740261,0.655777,102.616.,2110
|
||||
9.50543e-05,0.00740261,0.639904,114.163.,1233
|
||||
0.000151294,0.00740261,0.645149,107.106.,1845
|
||||
0.000134623,0.00740261,0.657907,94.8621.,1577
|
||||
8.51088e-05,0.00740261,0.66594,91.0518.,2146
|
||||
0.000131458,0.00740261,0.642009,112.361.,1165
|
||||
0.000162778,0.00740261,0.642773,119.675.,1364
|
||||
0.000113733,0.00740261,0.652888,102.147.,2012
|
||||
0.000119502,0.00740261,0.65036,103.006.,1817
|
||||
0.000123499,0.00740261,0.642794,104.759.,1498
|
||||
6.90773e-05,0.0103637,0.696191,105.032.,341
|
||||
7.57369e-05,0.0103637,0.693269,91.0336.,459
|
||||
5.95909e-05,0.0103637,0.712521,74.0894.,1033
|
||||
4.89834e-05,0.0103637,0.705441,77.0829.,794
|
||||
8.55427e-05,0.0103637,0.706556,84.9413.,770
|
||||
6.69145e-05,0.0103637,0.694754,103.909.,501
|
||||
8.78648e-05,0.0103637,0.697778,88.0771.,1023
|
||||
4.89849e-05,0.0103637,0.693094,93.4708.,847
|
||||
7.05473e-05,0.0103637,0.698525,83.1573.,1650
|
||||
6.45204e-05,0.0103637,0.703132,80.9548.,760
|
||||
8.39504e-05,0.0103637,0.693773,78.1902.,1161
|
||||
8.95153e-05,0.0103637,0.703214,84.7296.,755
|
||||
8.94125e-05,0.0103637,0.683541,94.4156.,468
|
||||
7.65955e-05,0.0103637,0.699209,84.0696.,618
|
||||
8.48235e-05,0.0103637,0.694151,83.4435.,893
|
||||
9.25653e-05,0.0103637,0.696425,88.5741.,486
|
||||
8.37081e-05,0.0103637,0.705391,77.5017.,773
|
||||
9.46274e-05,0.0103637,0.701869,82.8934.,558
|
||||
5.84861e-05,0.0103637,0.696648,89.5173.,466
|
||||
9.22039e-05,0.0103637,0.712275,92.6297.,329
|
||||
0.00012461,0.0103637,0.683813,88.5844.,399
|
||||
7.19627e-05,0.0103637,0.700576,82.1173.,915
|
||||
7.32875e-05,0.0103637,0.710566,73.2.,1200
|
||||
5.93684e-05,0.0103637,0.688111,84.76.,694
|
||||
5.17231e-05,0.0103637,0.692695,73.4001.,1904
|
||||
4.92345e-05,0.0103637,0.697164,92.3227.,651
|
||||
5.09248e-05,0.0103637,0.705689,84.2123.,838
|
||||
5.77824e-05,0.0103637,0.695727,84.2583.,934
|
||||
6.0101e-05,0.0103637,0.708621,78.5571.,890
|
||||
7.71719e-05,0.0103637,0.691677,89.2675.,413
|
||||
6.55075e-05,0.0103637,0.713333,81.8836.,698
|
||||
0.000101797,0.0103637,0.703862,83.885.,976
|
||||
7.79595e-05,0.0103637,0.698338,91.469.,560
|
||||
0.000105659,0.0103637,0.696847,81.0534.,567
|
||||
8.72629e-05,0.0103637,0.704344,90.3739.,964
|
||||
8.31702e-05,0.0103637,0.697422,85.6114.,1014
|
||||
8.6789e-05,0.0103637,0.698602,91.687.,521
|
||||
7.10164e-05,0.0103637,0.7117,90.1008.,429
|
||||
0.000101594,0.0103637,0.702448,89.7677.,515
|
||||
0.000103224,0.0103637,0.692531,79.4512.,1146
|
||||
8.97257e-05,0.0103637,0.700891,86.5543.,643
|
||||
8.25712e-05,0.0103637,0.703818,88.7329.,628
|
||||
7.03787e-05,0.0103637,0.702183,91.8764.,620
|
||||
5.56783e-05,0.0103637,0.695291,85.9747.,514
|
||||
9.51288e-05,0.0103637,0.705779,82.843.,486
|
||||
7.92477e-05,0.0103637,0.699163,83.5281.,450
|
||||
7.05724e-05,0.0103637,0.698192,78.0961.,1108
|
||||
3.93866e-05,0.0103637,0.690332,104.49.,396
|
||||
8.71878e-05,0.0103637,0.69152,88.2734.,576
|
||||
8.24219e-05,0.0103637,0.69624,102.032.,365
|
||||
0.000124221,0.0103637,0.691391,85.7869.,626
|
||||
5.84913e-05,0.0103637,0.68327,90.7034.,538
|
||||
8.13743e-05,0.0103637,0.708162,89.582.,517
|
||||
8.26589e-05,0.0103637,0.697338,83.1789.,776
|
||||
7.39471e-05,0.0103637,0.723246,75.4405.,980
|
||||
5.31401e-05,0.0103637,0.700546,79.2881.,688
|
||||
7.2695e-05,0.0103637,0.701524,86.13.,655
|
||||
5.20609e-05,0.0103637,0.708881,85.3256.,544
|
||||
8.70549e-05,0.0103637,0.694314,83.3977.,1043
|
||||
8.10432e-05,0.0103637,0.698992,84.789.,346
|
||||
7.37989e-05,0.0103637,0.701496,88.6137.,628
|
||||
8.71038e-05,0.0103637,0.699252,82.1479.,722
|
||||
5.45338e-05,0.0103637,0.698811,75.152.,1091
|
||||
8.03217e-05,0.0103637,0.705705,82.7487.,520
|
||||
5.41156e-05,0.0103637,0.709819,84.791.,563
|
||||
5.61967e-05,0.0103637,0.699009,93.4055.,421
|
||||
9.10031e-05,0.0103637,0.71564,74.1192.,1174
|
||||
8.14274e-05,0.0103637,0.720275,83.2161.,659
|
||||
5.95189e-05,0.0103637,0.695324,94.8049.,409
|
||||
9.35358e-05,0.0103637,0.69516,72.2744.,940
|
||||
9.20895e-05,0.0103637,0.702738,93.935.,271
|
||||
5.44486e-05,0.0103637,0.700355,96.7835.,658
|
||||
8.01134e-05,0.0103637,0.709106,86.4099.,837
|
||||
0.000126472,0.0103637,0.717211,87.3714.,238
|
||||
9.41776e-05,0.0103637,0.69913,77.0284.,825
|
||||
9.04576e-05,0.0103637,0.68161,74.9314.,905
|
||||
5.60715e-05,0.0103637,0.693052,87.7317.,586
|
||||
5.48228e-05,0.0103637,0.701331,91.005.,426
|
||||
7.2926e-05,0.0103637,0.710403,76.2978.,988
|
||||
7.8762e-05,0.0103637,0.688174,84.0268.,1029
|
||||
6.12664e-05,0.0103637,0.68999,82.958.,723
|
||||
7.71916e-05,0.0103637,0.704695,80.859.,877
|
||||
6.14353e-05,0.0103637,0.72228,78.3619.,827
|
||||
0.000117261,0.0103637,0.697211,87.6379.,627
|
||||
6.42763e-05,0.0103637,0.701242,82.0693.,796
|
||||
5.84661e-05,0.0103637,0.701132,75.4678.,1262
|
||||
3.73013e-05,0.0103637,0.693116,85.7208.,677
|
||||
7.05513e-05,0.0103637,0.722625,78.6163.,860
|
||||
5.73876e-05,0.0103637,0.706571,97.2452.,392
|
||||
7.54649e-05,0.0103637,0.702395,80.0625.,810
|
||||
5.35854e-05,0.0103637,0.706181,85.7072.,755
|
||||
8.22107e-05,0.0103637,0.700251,75.0646.,1089
|
||||
7.8252e-05,0.0103637,0.684139,82.1324.,773
|
||||
8.1221e-05,0.0103637,0.691527,90.3791.,611
|
||||
0.000110163,0.0103637,0.702362,99.9413.,506
|
||||
5.54961e-05,0.0103637,0.709284,72.5502.,882
|
||||
7.37375e-05,0.0103637,0.696269,83.4268.,761
|
||||
8.96068e-05,0.0103637,0.707139,87.4954.,393
|
||||
5.39211e-05,0.0103637,0.696067,83.3203.,762
|
||||
7.70122e-05,0.0103637,0.702879,91.7128.,613
|
||||
6.57581e-05,0.00592209,0.622392,113.016,2368
|
||||
5.16451e-05,0.00592209,0.610293,118.796,2433
|
||||
6.45083e-05,0.00592209,0.592139,127.157,1655
|
||||
7.14801e-05,0.00592209,0.624039,121.613,1933
|
||||
5.62707e-05,0.00592209,0.611091,119.539,2618
|
||||
5.55953e-05,0.00592209,0.625812,119.512,2505
|
||||
5.96026e-05,0.00592209,0.622873,118.285,1582
|
||||
6.63676e-05,0.00592209,0.602386,126.579,2214
|
||||
5.93125e-05,0.00592209,0.608913,122.512,2262
|
||||
6.05066e-05,0.00592209,0.621467,118.473,2465
|
||||
6.42976e-05,0.00592209,0.602593,121.998,2127
|
||||
5.32868e-05,0.00592209,0.616501,115.313,2746
|
||||
5.47856e-05,0.00592209,0.615173,118.034,2148
|
||||
6.47209e-05,0.00592209,0.603935,120.003,2304
|
||||
7.07812e-05,0.00592209,0.620422,123.494,1941
|
||||
6.49313e-05,0.00592209,0.616232,122.989,2214
|
||||
6.64295e-05,0.00592209,0.605206,123.757,1675
|
||||
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9.39073e-05,0.00740261,0.655253,103.753,1723
|
||||
0.000118136,0.00740261,0.646319,106.698,1690
|
||||
0.000143213,0.00740261,0.662647,97.9397,1209
|
||||
0.000124885,0.00740261,0.65789,106.656,1534
|
||||
0.000122815,0.00740261,0.673803,102.299,1433
|
||||
0.00011158,0.00740261,0.652635,104.71,1827
|
||||
0.000143072,0.00740261,0.651031,99.6516,1526
|
||||
0.000121757,0.00740261,0.681384,85.3402,4935
|
||||
9.94695e-05,0.00740261,0.651079,103.875,2087
|
||||
0.000161101,0.00740261,0.654378,99.7871,1947
|
||||
0.000122246,0.00740261,0.65679,99.823,2190
|
||||
0.000147347,0.00740261,0.6422,110.554,1301
|
||||
0.000112197,0.00740261,0.654611,114.952,998
|
||||
0.00011529,0.00740261,0.643761,99.7046,1245
|
||||
0.000161519,0.00740261,0.653702,96.1227,2219
|
||||
0.000137877,0.00740261,0.646996,94.9822,3061
|
||||
0.000113204,0.00740261,0.629358,109.207,1124
|
||||
0.000160504,0.00740261,0.643509,106.855,1157
|
||||
0.000115618,0.00740261,0.667462,110.589,1601
|
||||
0.000155458,0.00740261,0.663885,96.4926,1549
|
||||
0.00012474,0.00740261,0.64672,104.201,1704
|
||||
0.000147478,0.00740261,0.656898,95.364,2012
|
||||
0.000134001,0.00740261,0.648474,95.9782,1790
|
||||
0.00013438,0.00740261,0.648077,109.152,1449
|
||||
0.000140607,0.00740261,0.640552,99.7984,1505
|
||||
0.000107889,0.00740261,0.663999,106.249,1998
|
||||
0.000149274,0.00740261,0.662709,91.3925,1790
|
||||
0.000121329,0.00740261,0.647837,102.095,2291
|
||||
0.000104416,0.00740261,0.663697,108.615,1725
|
||||
0.000103746,0.00740261,0.656774,100.235,2358
|
||||
9.74274e-05,0.00740261,0.655777,102.616,2110
|
||||
9.50543e-05,0.00740261,0.639904,114.163,1233
|
||||
0.000151294,0.00740261,0.645149,107.106,1845
|
||||
0.000134623,0.00740261,0.657907,94.8621,1577
|
||||
8.51088e-05,0.00740261,0.66594,91.0518,2146
|
||||
0.000131458,0.00740261,0.642009,112.361,1165
|
||||
0.000162778,0.00740261,0.642773,119.675,1364
|
||||
0.000113733,0.00740261,0.652888,102.147,2012
|
||||
0.000119502,0.00740261,0.65036,103.006,1817
|
||||
0.000123499,0.00740261,0.642794,104.759,1498
|
||||
6.90773e-05,0.0103637,0.696191,105.032,341
|
||||
7.57369e-05,0.0103637,0.693269,91.0336,459
|
||||
5.95909e-05,0.0103637,0.712521,74.0894,1033
|
||||
4.89834e-05,0.0103637,0.705441,77.0829,794
|
||||
8.55427e-05,0.0103637,0.706556,84.9413,770
|
||||
6.69145e-05,0.0103637,0.694754,103.909,501
|
||||
8.78648e-05,0.0103637,0.697778,88.0771,1023
|
||||
4.89849e-05,0.0103637,0.693094,93.4708,847
|
||||
7.05473e-05,0.0103637,0.698525,83.1573,1650
|
||||
6.45204e-05,0.0103637,0.703132,80.9548,760
|
||||
8.39504e-05,0.0103637,0.693773,78.1902,1161
|
||||
8.95153e-05,0.0103637,0.703214,84.7296,755
|
||||
8.94125e-05,0.0103637,0.683541,94.4156,468
|
||||
7.65955e-05,0.0103637,0.699209,84.0696,618
|
||||
8.48235e-05,0.0103637,0.694151,83.4435,893
|
||||
9.25653e-05,0.0103637,0.696425,88.5741,486
|
||||
8.37081e-05,0.0103637,0.705391,77.5017,773
|
||||
9.46274e-05,0.0103637,0.701869,82.8934,558
|
||||
5.84861e-05,0.0103637,0.696648,89.5173,466
|
||||
9.22039e-05,0.0103637,0.712275,92.6297,329
|
||||
0.00012461,0.0103637,0.683813,88.5844,399
|
||||
7.19627e-05,0.0103637,0.700576,82.1173,915
|
||||
7.32875e-05,0.0103637,0.710566,73.2,1200
|
||||
5.93684e-05,0.0103637,0.688111,84.76,694
|
||||
5.17231e-05,0.0103637,0.692695,73.4001,1904
|
||||
4.92345e-05,0.0103637,0.697164,92.3227,651
|
||||
5.09248e-05,0.0103637,0.705689,84.2123,838
|
||||
5.77824e-05,0.0103637,0.695727,84.2583,934
|
||||
6.0101e-05,0.0103637,0.708621,78.5571,890
|
||||
7.71719e-05,0.0103637,0.691677,89.2675,413
|
||||
6.55075e-05,0.0103637,0.713333,81.8836,698
|
||||
0.000101797,0.0103637,0.703862,83.885,976
|
||||
7.79595e-05,0.0103637,0.698338,91.469,560
|
||||
0.000105659,0.0103637,0.696847,81.0534,567
|
||||
8.72629e-05,0.0103637,0.704344,90.3739,964
|
||||
8.31702e-05,0.0103637,0.697422,85.6114,1014
|
||||
8.6789e-05,0.0103637,0.698602,91.687,521
|
||||
7.10164e-05,0.0103637,0.7117,90.1008,429
|
||||
0.000101594,0.0103637,0.702448,89.7677,515
|
||||
0.000103224,0.0103637,0.692531,79.4512,1146
|
||||
8.97257e-05,0.0103637,0.700891,86.5543,643
|
||||
8.25712e-05,0.0103637,0.703818,88.7329,628
|
||||
7.03787e-05,0.0103637,0.702183,91.8764,620
|
||||
5.56783e-05,0.0103637,0.695291,85.9747,514
|
||||
9.51288e-05,0.0103637,0.705779,82.843,486
|
||||
7.92477e-05,0.0103637,0.699163,83.5281,450
|
||||
7.05724e-05,0.0103637,0.698192,78.0961,1108
|
||||
3.93866e-05,0.0103637,0.690332,104.49,396
|
||||
8.71878e-05,0.0103637,0.69152,88.2734,576
|
||||
8.24219e-05,0.0103637,0.69624,102.032,365
|
||||
0.000124221,0.0103637,0.691391,85.7869,626
|
||||
5.84913e-05,0.0103637,0.68327,90.7034,538
|
||||
8.13743e-05,0.0103637,0.708162,89.582,517
|
||||
8.26589e-05,0.0103637,0.697338,83.1789,776
|
||||
7.39471e-05,0.0103637,0.723246,75.4405,980
|
||||
5.31401e-05,0.0103637,0.700546,79.2881,688
|
||||
7.2695e-05,0.0103637,0.701524,86.13,655
|
||||
5.20609e-05,0.0103637,0.708881,85.3256,544
|
||||
8.70549e-05,0.0103637,0.694314,83.3977,1043
|
||||
8.10432e-05,0.0103637,0.698992,84.789,346
|
||||
7.37989e-05,0.0103637,0.701496,88.6137,628
|
||||
8.71038e-05,0.0103637,0.699252,82.1479,722
|
||||
5.45338e-05,0.0103637,0.698811,75.152,1091
|
||||
8.03217e-05,0.0103637,0.705705,82.7487,520
|
||||
5.41156e-05,0.0103637,0.709819,84.791,563
|
||||
5.61967e-05,0.0103637,0.699009,93.4055,421
|
||||
9.10031e-05,0.0103637,0.71564,74.1192,1174
|
||||
8.14274e-05,0.0103637,0.720275,83.2161,659
|
||||
5.95189e-05,0.0103637,0.695324,94.8049,409
|
||||
9.35358e-05,0.0103637,0.69516,72.2744,940
|
||||
9.20895e-05,0.0103637,0.702738,93.935,271
|
||||
5.44486e-05,0.0103637,0.700355,96.7835,658
|
||||
8.01134e-05,0.0103637,0.709106,86.4099,837
|
||||
0.000126472,0.0103637,0.717211,87.3714,238
|
||||
9.41776e-05,0.0103637,0.69913,77.0284,825
|
||||
9.04576e-05,0.0103637,0.68161,74.9314,905
|
||||
5.60715e-05,0.0103637,0.693052,87.7317,586
|
||||
5.48228e-05,0.0103637,0.701331,91.005,426
|
||||
7.2926e-05,0.0103637,0.710403,76.2978,988
|
||||
7.8762e-05,0.0103637,0.688174,84.0268,1029
|
||||
6.12664e-05,0.0103637,0.68999,82.958,723
|
||||
7.71916e-05,0.0103637,0.704695,80.859,877
|
||||
6.14353e-05,0.0103637,0.72228,78.3619,827
|
||||
0.000117261,0.0103637,0.697211,87.6379,627
|
||||
6.42763e-05,0.0103637,0.701242,82.0693,796
|
||||
5.84661e-05,0.0103637,0.701132,75.4678,1262
|
||||
3.73013e-05,0.0103637,0.693116,85.7208,677
|
||||
7.05513e-05,0.0103637,0.722625,78.6163,860
|
||||
5.73876e-05,0.0103637,0.706571,97.2452,392
|
||||
7.54649e-05,0.0103637,0.702395,80.0625,810
|
||||
5.35854e-05,0.0103637,0.706181,85.7072,755
|
||||
8.22107e-05,0.0103637,0.700251,75.0646,1089
|
||||
7.8252e-05,0.0103637,0.684139,82.1324,773
|
||||
8.1221e-05,0.0103637,0.691527,90.3791,611
|
||||
0.000110163,0.0103637,0.702362,99.9413,506
|
||||
5.54961e-05,0.0103637,0.709284,72.5502,882
|
||||
7.37375e-05,0.0103637,0.696269,83.4268,761
|
||||
8.96068e-05,0.0103637,0.707139,87.4954,393
|
||||
5.39211e-05,0.0103637,0.696067,83.3203,762
|
||||
7.70122e-05,0.0103637,0.702879,91.7128,613
|
||||
|
||||
|
401
dokumentation/evolution3d/20171007_3dFit_all.error
Normal file
401
dokumentation/evolution3d/20171007_3dFit_all.error
Normal file
@ -0,0 +1,401 @@
|
||||
"Evolution error
|
||||
113.016
|
||||
118.796
|
||||
127.157
|
||||
121.613
|
||||
119.539
|
||||
119.512
|
||||
118.285
|
||||
126.579
|
||||
122.512
|
||||
118.473
|
||||
121.998
|
||||
115.313
|
||||
118.034
|
||||
120.003
|
||||
123.494
|
||||
122.989
|
||||
123.757
|
||||
110.67
|
||||
121.232
|
||||
120.979
|
||||
115.394
|
||||
116.928
|
||||
125.294
|
||||
111.635
|
||||
114.681
|
||||
111.935
|
||||
111.392
|
||||
115.346
|
||||
119.055
|
||||
117.452
|
||||
123.379
|
||||
115.053
|
||||
123.994
|
||||
118.576
|
||||
116.894
|
||||
120.129
|
||||
126.708
|
||||
114.595
|
||||
120.056
|
||||
122.057
|
||||
116.846
|
||||
124.35
|
||||
118.43
|
||||
116.574
|
||||
128.474
|
||||
111.111
|
||||
120.004
|
||||
119.866
|
||||
119.676
|
||||
128.957
|
||||
108.467
|
||||
123.353
|
||||
123.301
|
||||
114.838
|
||||
118.611
|
||||
109.616
|
||||
113.565
|
||||
120.01
|
||||
125.441
|
||||
122.541
|
||||
123.169
|
||||
117.344
|
||||
112.674
|
||||
118.787
|
||||
112.061
|
||||
110.262
|
||||
116.504
|
||||
109.607
|
||||
122.198
|
||||
124.527
|
||||
120.886
|
||||
119.176
|
||||
121.081
|
||||
121.038
|
||||
112.392
|
||||
121.148
|
||||
117.053
|
||||
123.651
|
||||
128.446
|
||||
115.527
|
||||
121.456
|
||||
127.418
|
||||
113.541
|
||||
116.805
|
||||
123.244
|
||||
123.095
|
||||
115.9
|
||||
124.024
|
||||
114.685
|
||||
113.428
|
||||
117.456
|
||||
122.15
|
||||
124.576
|
||||
113.63
|
||||
126.608
|
||||
129.916
|
||||
119.673
|
||||
116.233
|
||||
125.086
|
||||
112.897
|
||||
73.9627
|
||||
79.3303
|
||||
72.8373
|
||||
60.0032
|
||||
80.1321
|
||||
66.1526
|
||||
74.6032
|
||||
71.3161
|
||||
71.9377
|
||||
70.127
|
||||
61.7195
|
||||
86.6101
|
||||
77.235
|
||||
70.3058
|
||||
73.3268
|
||||
72.8603
|
||||
70.5867
|
||||
79.8851
|
||||
89.169
|
||||
86.3505
|
||||
77.8282
|
||||
70.418
|
||||
82.3889
|
||||
80.3257
|
||||
85.6612
|
||||
76.2377
|
||||
76.8062
|
||||
75.0253
|
||||
73.6296
|
||||
71.8145
|
||||
82.1172
|
||||
68.4228
|
||||
74.5628
|
||||
82.4297
|
||||
74.6568
|
||||
76.5874
|
||||
82.2821
|
||||
71.321
|
||||
80.1887
|
||||
60.0022
|
||||
73.5674
|
||||
68.7547
|
||||
97.4154
|
||||
81.1639
|
||||
82.2747
|
||||
70.415
|
||||
72.564
|
||||
70.1961
|
||||
83.8507
|
||||
82.3622
|
||||
74.3285
|
||||
84.2108
|
||||
69.7744
|
||||
82.1376
|
||||
74.2818
|
||||
78.989
|
||||
82.2812
|
||||
74.0614
|
||||
83.257
|
||||
72.454
|
||||
71.9554
|
||||
93.8159
|
||||
64.5602
|
||||
81.597
|
||||
74.8947
|
||||
71.937
|
||||
82.8423
|
||||
66.0827
|
||||
79.8222
|
||||
80.2208
|
||||
76.7288
|
||||
75.2866
|
||||
75.6383
|
||||
79.3073
|
||||
69.5742
|
||||
76.4946
|
||||
92.7633
|
||||
83.3937
|
||||
83.8943
|
||||
73.5603
|
||||
76.8801
|
||||
70.703
|
||||
69.1493
|
||||
79.6539
|
||||
83.4016
|
||||
88.5801
|
||||
85.8292
|
||||
72.5448
|
||||
82.2857
|
||||
83.8247
|
||||
78.3849
|
||||
84.6062
|
||||
75.7662
|
||||
78.4256
|
||||
68.3999
|
||||
72.1529
|
||||
78.0544
|
||||
89.1144
|
||||
86.8059
|
||||
75.2054
|
||||
104.911
|
||||
102.122
|
||||
100.463
|
||||
111.329
|
||||
104.712
|
||||
100.048
|
||||
102.05
|
||||
98.3549
|
||||
93.4038
|
||||
104.028
|
||||
102.965
|
||||
102.822
|
||||
97.9662
|
||||
100.341
|
||||
109.73
|
||||
99.6362
|
||||
113.29
|
||||
112.572
|
||||
86.3175
|
||||
91.637
|
||||
107.27
|
||||
110.797
|
||||
99.0484
|
||||
94.2222
|
||||
104.417
|
||||
96.4144
|
||||
108.23
|
||||
98.5045
|
||||
93.4554
|
||||
110.564
|
||||
104.082
|
||||
95.1024
|
||||
100.132
|
||||
102.451
|
||||
116.302
|
||||
98.5173
|
||||
104.428
|
||||
104.909
|
||||
106.289
|
||||
106.708
|
||||
108.022
|
||||
97.8253
|
||||
114.829
|
||||
115.054
|
||||
106.6
|
||||
105.157
|
||||
93.2856
|
||||
98.8994
|
||||
117.524
|
||||
97.0705
|
||||
95.9897
|
||||
104.384
|
||||
104.01
|
||||
104.585
|
||||
98.8101
|
||||
104.262
|
||||
95.1758
|
||||
109.61
|
||||
96.3427
|
||||
106.331
|
||||
103.753
|
||||
106.698
|
||||
97.9397
|
||||
106.656
|
||||
102.299
|
||||
104.71
|
||||
99.6516
|
||||
85.3402
|
||||
103.875
|
||||
99.7871
|
||||
99.823
|
||||
110.554
|
||||
114.952
|
||||
99.7046
|
||||
96.1227
|
||||
94.9822
|
||||
109.207
|
||||
106.855
|
||||
110.589
|
||||
96.4926
|
||||
104.201
|
||||
95.364
|
||||
95.9782
|
||||
109.152
|
||||
99.7984
|
||||
106.249
|
||||
91.3925
|
||||
102.095
|
||||
108.615
|
||||
100.235
|
||||
102.616
|
||||
114.163
|
||||
107.106
|
||||
94.8621
|
||||
91.0518
|
||||
112.361
|
||||
119.675
|
||||
102.147
|
||||
103.006
|
||||
104.759
|
||||
105.032
|
||||
91.0336
|
||||
74.0894
|
||||
77.0829
|
||||
84.9413
|
||||
103.909
|
||||
88.0771
|
||||
93.4708
|
||||
83.1573
|
||||
80.9548
|
||||
78.1902
|
||||
84.7296
|
||||
94.4156
|
||||
84.0696
|
||||
83.4435
|
||||
88.5741
|
||||
77.5017
|
||||
82.8934
|
||||
89.5173
|
||||
92.6297
|
||||
88.5844
|
||||
82.1173
|
||||
73.2
|
||||
84.76
|
||||
73.4001
|
||||
92.3227
|
||||
84.2123
|
||||
84.2583
|
||||
78.5571
|
||||
89.2675
|
||||
81.8836
|
||||
83.885
|
||||
91.469
|
||||
81.0534
|
||||
90.3739
|
||||
85.6114
|
||||
91.687
|
||||
90.1008
|
||||
89.7677
|
||||
79.4512
|
||||
86.5543
|
||||
88.7329
|
||||
91.8764
|
||||
85.9747
|
||||
82.843
|
||||
83.5281
|
||||
78.0961
|
||||
104.49
|
||||
88.2734
|
||||
102.032
|
||||
85.7869
|
||||
90.7034
|
||||
89.582
|
||||
83.1789
|
||||
75.4405
|
||||
79.2881
|
||||
86.13
|
||||
85.3256
|
||||
83.3977
|
||||
84.789
|
||||
88.6137
|
||||
82.1479
|
||||
75.152
|
||||
82.7487
|
||||
84.791
|
||||
93.4055
|
||||
74.1192
|
||||
83.2161
|
||||
94.8049
|
||||
72.2744
|
||||
93.935
|
||||
96.7835
|
||||
86.4099
|
||||
87.3714
|
||||
77.0284
|
||||
74.9314
|
||||
87.7317
|
||||
91.005
|
||||
76.2978
|
||||
84.0268
|
||||
82.958
|
||||
80.859
|
||||
78.3619
|
||||
87.6379
|
||||
82.0693
|
||||
75.4678
|
||||
85.7208
|
||||
78.6163
|
||||
97.2452
|
||||
80.0625
|
||||
85.7072
|
||||
75.0646
|
||||
82.1324
|
||||
90.3791
|
||||
99.9413
|
||||
72.5502
|
||||
83.4268
|
||||
87.4954
|
||||
83.3203
|
||||
91.7128
|
||||
9
dokumentation/evolution3d/20171007_3dFit_all.mms
Normal file
9
dokumentation/evolution3d/20171007_3dFit_all.mms
Normal file
@ -0,0 +1,9 @@
|
||||
[1] "================ Analyzing 20171007_3dFit_all.csv"
|
||||
[1] "Mean:"
|
||||
[1] 96.11968
|
||||
[1] "Median:"
|
||||
[1] 94.61025
|
||||
[1] "Sigma:"
|
||||
[1] 17.52693
|
||||
[1] "Range:"
|
||||
[1] 60.0022 129.9160
|
||||
49
dokumentation/evolution3d/20171007_3dFit_all.spearman
Normal file
49
dokumentation/evolution3d/20171007_3dFit_all.spearman
Normal file
@ -0,0 +1,49 @@
|
||||
[1] "================ Analyzing 20171007_3dFit_all.csv"
|
||||
[1] "spearman for improvement-potential vs. evolution-error"
|
||||
x y
|
||||
x 1.00 -0.92
|
||||
y -0.92 1.00
|
||||
|
||||
n= 400
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0
|
||||
y 0
|
||||
[1] "spearman for improvement-potential vs. steps"
|
||||
x y
|
||||
x 1.00 -0.67
|
||||
y -0.67 1.00
|
||||
|
||||
n= 400
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0
|
||||
y 0
|
||||
[1] "spearman for regularity vs. steps"
|
||||
x y
|
||||
x 1.00 -0.09
|
||||
y -0.09 1.00
|
||||
|
||||
n= 400
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0.0863
|
||||
y 0.0863
|
||||
[1] "spearman for variability vs. evolution-error"
|
||||
x y
|
||||
x 1.00 -0.91
|
||||
y -0.91 1.00
|
||||
|
||||
n= 400
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0
|
||||
y 0
|
||||
@ -1,101 +1,101 @@
|
||||
regularity,variability,improvement,"Evolution error",steps
|
||||
7.33021e-05,0.0103637,0.695354,85.1149.,1998
|
||||
9.86305e-05,0.0103637,0.696996,82.2095.,2127
|
||||
9.13367e-05,0.0103637,0.699654,93.8283.,1339
|
||||
5.75201e-05,0.0103637,0.685872,99.4121.,1936
|
||||
8.29441e-05,0.0103637,0.689831,84.7928.,1570
|
||||
8.37538e-05,0.0103637,0.687731,89.4784.,1535
|
||||
7.72656e-05,0.0103637,0.692668,98.0445.,1478
|
||||
5.69885e-05,0.0103637,0.686888,82.4413.,2455
|
||||
7.94244e-05,0.0103637,0.690775,95.9898.,1700
|
||||
9.02474e-05,0.0103637,0.702276,82.9514.,1923
|
||||
7.38352e-05,0.0103637,0.679235,95.6417.,1518
|
||||
0.000106945,0.0103637,0.68402,97.597.,1496
|
||||
7.83009e-05,0.0103637,0.693436,92.8455.,2190
|
||||
4.40066e-05,0.0103637,0.683834,87.554.,2604
|
||||
0.000109585,0.0103637,0.689338,88.0962.,1754
|
||||
8.75302e-05,0.0103637,0.6934,92.764.,1940
|
||||
6.00375e-05,0.0103637,0.700927,92.6177.,1908
|
||||
6.18399e-05,0.0103637,0.683082,91.9667.,1509
|
||||
0.000116728,0.0103637,0.700828,82.2732.,1821
|
||||
9.10256e-05,0.0103637,0.692394,94.741.,1626
|
||||
8.72593e-05,0.0103637,0.685888,87.4631.,1578
|
||||
8.07573e-05,0.0103637,0.686368,99.0457.,1287
|
||||
5.47625e-05,0.0103637,0.70257,83.0585.,3707
|
||||
9.642e-05,0.0103637,0.690792,87.7612.,1962
|
||||
5.6002e-05,0.0103637,0.697936,92.4952.,2188
|
||||
9.19145e-05,0.0103637,0.696617,87.4672.,1709
|
||||
9.30803e-05,0.0103637,0.69225,85.5196.,1738
|
||||
5.5693e-05,0.0103637,0.70504,96.1244.,1800
|
||||
5.53709e-05,0.0103637,0.688722,80.3879.,2687
|
||||
0.000103781,0.0103637,0.702795,88.557.,1964
|
||||
9.48859e-05,0.0103637,0.707829,80.9192.,1809
|
||||
5.9123e-05,0.0103637,0.692679,88.0159.,2308
|
||||
0.000104426,0.0103637,0.687809,92.5849.,1592
|
||||
7.17017e-05,0.0103637,0.688038,95.6485.,1590
|
||||
9.04185e-05,0.0103637,0.696046,82.6378.,2400
|
||||
8.52955e-05,0.0103637,0.68677,86.2912.,1972
|
||||
6.0231e-05,0.0103637,0.692419,87.6295.,2138
|
||||
6.19528e-05,0.0103637,0.677021,93.7818.,2474
|
||||
4.86728e-05,0.0103637,0.695779,81.2872.,1966
|
||||
0.000112679,0.0103637,0.683283,92.884.,1525
|
||||
3.35026e-05,0.0103637,0.693536,85.1577.,2834
|
||||
0.000111562,0.0103637,0.701278,82.4601.,1494
|
||||
5.60467e-05,0.0103637,0.693734,88.7562.,2850
|
||||
8.91618e-05,0.0103637,0.695836,85.7044.,1825
|
||||
5.86723e-05,0.0103637,0.695234,90.0389.,1775
|
||||
0.000124082,0.0103637,0.693874,90.6256.,1832
|
||||
7.59202e-05,0.0103637,0.695028,86.5225.,1412
|
||||
9.78369e-05,0.0103637,0.691068,93.0686.,1522
|
||||
0.000133166,0.0103637,0.70704,86.9607.,2158
|
||||
6.94058e-05,0.0103637,0.687931,91.6042.,2246
|
||||
6.23195e-05,0.0103637,0.686537,100.349.,1409
|
||||
5.2505e-05,0.0103637,0.695303,78.4994.,3239
|
||||
0.000118392,0.0103637,0.689132,89.8504.,1612
|
||||
9.63249e-05,0.0103637,0.687783,83.6403.,2080
|
||||
5.99358e-05,0.0103637,0.690797,101.654.,1713
|
||||
7.13858e-05,0.0103637,0.696033,99.3329.,1566
|
||||
8.29146e-05,0.0103637,0.694109,92.788.,1932
|
||||
6.941e-05,0.0103637,0.689276,83.6513.,2264
|
||||
7.01229e-05,0.0103637,0.685375,85.7803.,2056
|
||||
6.00461e-05,0.0103637,0.694496,83.9198.,2334
|
||||
7.17098e-05,0.0103637,0.691257,97.1194.,1678
|
||||
5.56866e-05,0.0103637,0.693604,86.66.,3172
|
||||
8.57536e-05,0.0103637,0.696875,95.519.,1736
|
||||
5.44961e-05,0.0103637,0.705914,94.3315.,2152
|
||||
0.00010223,0.0103637,0.696688,89.9138.,1796
|
||||
8.7968e-05,0.0103637,0.70126,89.7127.,1584
|
||||
5.85877e-05,0.0103637,0.685943,88.7631.,2666
|
||||
8.37385e-05,0.0103637,0.687253,86.5084.,1413
|
||||
6.09753e-05,0.0103637,0.684085,93.2268.,2400
|
||||
6.68336e-05,0.0103637,0.695989,86.4354.,2138
|
||||
7.2593e-05,0.0103637,0.687196,91.7037.,1767
|
||||
7.43132e-05,0.0103637,0.68878,89.9394.,1454
|
||||
6.50205e-05,0.0103637,0.694766,82.762.,2376
|
||||
6.27443e-05,0.0103637,0.689244,81.379.,2775
|
||||
9.78857e-05,0.0103637,0.6923,80.2224.,2365
|
||||
5.53248e-05,0.0103637,0.690217,79.8926.,3130
|
||||
8.19988e-05,0.0103637,0.680978,95.5281.,1393
|
||||
8.39435e-05,0.0103637,0.696348,87.6941.,1657
|
||||
7.80363e-05,0.0103637,0.688069,101.649.,1615
|
||||
0.000108058,0.0103637,0.703279,85.3415.,2047
|
||||
8.591e-05,0.0103637,0.70373,86.2938.,2134
|
||||
0.000100807,0.0103637,0.688379,101.265.,1184
|
||||
6.81251e-05,0.0103637,0.690025,84.5136.,1942
|
||||
0.000100306,0.0103637,0.694876,90.5252.,1811
|
||||
7.43149e-05,0.0103637,0.681349,90.4494.,2383
|
||||
6.54223e-05,0.0103637,0.691461,94.5348.,1662
|
||||
4.00803e-05,0.0103637,0.697672,77.2599.,2960
|
||||
7.43768e-05,0.0103637,0.686236,89.5657.,2487
|
||||
0.000116654,0.0103637,0.703829,78.0427.,2381
|
||||
4.85051e-05,0.0103637,0.685997,91.3327.,2003
|
||||
5.55332e-05,0.0103637,0.691656,116.609.,1170
|
||||
6.60943e-05,0.0103637,0.693062,83.6798.,1744
|
||||
5.83277e-05,0.0103637,0.692641,89.0655.,2169
|
||||
9.19515e-05,0.0103637,0.696555,82.225.,2525
|
||||
8.81229e-05,0.0103637,0.68317,90.5327.,2012
|
||||
5.85726e-05,0.0103637,0.692007,78.9694.,2646
|
||||
9.00751e-05,0.0103637,0.696617,83.061.,2168
|
||||
9.74536e-05,0.0103637,0.701995,97.7498.,1565
|
||||
8.15851e-05,0.0103637,0.693622,87.9928.,1602
|
||||
0.000105786,0.0103637,0.702003,83.4737.,1711
|
||||
7.33021e-05,0.0103637,0.695354,85.1149,1998
|
||||
9.86305e-05,0.0103637,0.696996,82.2095,2127
|
||||
9.13367e-05,0.0103637,0.699654,93.8283,1339
|
||||
5.75201e-05,0.0103637,0.685872,99.4121,1936
|
||||
8.29441e-05,0.0103637,0.689831,84.7928,1570
|
||||
8.37538e-05,0.0103637,0.687731,89.4784,1535
|
||||
7.72656e-05,0.0103637,0.692668,98.0445,1478
|
||||
5.69885e-05,0.0103637,0.686888,82.4413,2455
|
||||
7.94244e-05,0.0103637,0.690775,95.9898,1700
|
||||
9.02474e-05,0.0103637,0.702276,82.9514,1923
|
||||
7.38352e-05,0.0103637,0.679235,95.6417,1518
|
||||
0.000106945,0.0103637,0.68402,97.597,1496
|
||||
7.83009e-05,0.0103637,0.693436,92.8455,2190
|
||||
4.40066e-05,0.0103637,0.683834,87.554,2604
|
||||
0.000109585,0.0103637,0.689338,88.0962,1754
|
||||
8.75302e-05,0.0103637,0.6934,92.764,1940
|
||||
6.00375e-05,0.0103637,0.700927,92.6177,1908
|
||||
6.18399e-05,0.0103637,0.683082,91.9667,1509
|
||||
0.000116728,0.0103637,0.700828,82.2732,1821
|
||||
9.10256e-05,0.0103637,0.692394,94.741,1626
|
||||
8.72593e-05,0.0103637,0.685888,87.4631,1578
|
||||
8.07573e-05,0.0103637,0.686368,99.0457,1287
|
||||
5.47625e-05,0.0103637,0.70257,83.0585,3707
|
||||
9.642e-05,0.0103637,0.690792,87.7612,1962
|
||||
5.6002e-05,0.0103637,0.697936,92.4952,2188
|
||||
9.19145e-05,0.0103637,0.696617,87.4672,1709
|
||||
9.30803e-05,0.0103637,0.69225,85.5196,1738
|
||||
5.5693e-05,0.0103637,0.70504,96.1244,1800
|
||||
5.53709e-05,0.0103637,0.688722,80.3879,2687
|
||||
0.000103781,0.0103637,0.702795,88.557,1964
|
||||
9.48859e-05,0.0103637,0.707829,80.9192,1809
|
||||
5.9123e-05,0.0103637,0.692679,88.0159,2308
|
||||
0.000104426,0.0103637,0.687809,92.5849,1592
|
||||
7.17017e-05,0.0103637,0.688038,95.6485,1590
|
||||
9.04185e-05,0.0103637,0.696046,82.6378,2400
|
||||
8.52955e-05,0.0103637,0.68677,86.2912,1972
|
||||
6.0231e-05,0.0103637,0.692419,87.6295,2138
|
||||
6.19528e-05,0.0103637,0.677021,93.7818,2474
|
||||
4.86728e-05,0.0103637,0.695779,81.2872,1966
|
||||
0.000112679,0.0103637,0.683283,92.884,1525
|
||||
3.35026e-05,0.0103637,0.693536,85.1577,2834
|
||||
0.000111562,0.0103637,0.701278,82.4601,1494
|
||||
5.60467e-05,0.0103637,0.693734,88.7562,2850
|
||||
8.91618e-05,0.0103637,0.695836,85.7044,1825
|
||||
5.86723e-05,0.0103637,0.695234,90.0389,1775
|
||||
0.000124082,0.0103637,0.693874,90.6256,1832
|
||||
7.59202e-05,0.0103637,0.695028,86.5225,1412
|
||||
9.78369e-05,0.0103637,0.691068,93.0686,1522
|
||||
0.000133166,0.0103637,0.70704,86.9607,2158
|
||||
6.94058e-05,0.0103637,0.687931,91.6042,2246
|
||||
6.23195e-05,0.0103637,0.686537,100.349,1409
|
||||
5.2505e-05,0.0103637,0.695303,78.4994,3239
|
||||
0.000118392,0.0103637,0.689132,89.8504,1612
|
||||
9.63249e-05,0.0103637,0.687783,83.6403,2080
|
||||
5.99358e-05,0.0103637,0.690797,101.654,1713
|
||||
7.13858e-05,0.0103637,0.696033,99.3329,1566
|
||||
8.29146e-05,0.0103637,0.694109,92.788,1932
|
||||
6.941e-05,0.0103637,0.689276,83.6513,2264
|
||||
7.01229e-05,0.0103637,0.685375,85.7803,2056
|
||||
6.00461e-05,0.0103637,0.694496,83.9198,2334
|
||||
7.17098e-05,0.0103637,0.691257,97.1194,1678
|
||||
5.56866e-05,0.0103637,0.693604,86.66,3172
|
||||
8.57536e-05,0.0103637,0.696875,95.519,1736
|
||||
5.44961e-05,0.0103637,0.705914,94.3315,2152
|
||||
0.00010223,0.0103637,0.696688,89.9138,1796
|
||||
8.7968e-05,0.0103637,0.70126,89.7127,1584
|
||||
5.85877e-05,0.0103637,0.685943,88.7631,2666
|
||||
8.37385e-05,0.0103637,0.687253,86.5084,1413
|
||||
6.09753e-05,0.0103637,0.684085,93.2268,2400
|
||||
6.68336e-05,0.0103637,0.695989,86.4354,2138
|
||||
7.2593e-05,0.0103637,0.687196,91.7037,1767
|
||||
7.43132e-05,0.0103637,0.68878,89.9394,1454
|
||||
6.50205e-05,0.0103637,0.694766,82.762,2376
|
||||
6.27443e-05,0.0103637,0.689244,81.379,2775
|
||||
9.78857e-05,0.0103637,0.6923,80.2224,2365
|
||||
5.53248e-05,0.0103637,0.690217,79.8926,3130
|
||||
8.19988e-05,0.0103637,0.680978,95.5281,1393
|
||||
8.39435e-05,0.0103637,0.696348,87.6941,1657
|
||||
7.80363e-05,0.0103637,0.688069,101.649,1615
|
||||
0.000108058,0.0103637,0.703279,85.3415,2047
|
||||
8.591e-05,0.0103637,0.70373,86.2938,2134
|
||||
0.000100807,0.0103637,0.688379,101.265,1184
|
||||
6.81251e-05,0.0103637,0.690025,84.5136,1942
|
||||
0.000100306,0.0103637,0.694876,90.5252,1811
|
||||
7.43149e-05,0.0103637,0.681349,90.4494,2383
|
||||
6.54223e-05,0.0103637,0.691461,94.5348,1662
|
||||
4.00803e-05,0.0103637,0.697672,77.2599,2960
|
||||
7.43768e-05,0.0103637,0.686236,89.5657,2487
|
||||
0.000116654,0.0103637,0.703829,78.0427,2381
|
||||
4.85051e-05,0.0103637,0.685997,91.3327,2003
|
||||
5.55332e-05,0.0103637,0.691656,116.609,1170
|
||||
6.60943e-05,0.0103637,0.693062,83.6798,1744
|
||||
5.83277e-05,0.0103637,0.692641,89.0655,2169
|
||||
9.19515e-05,0.0103637,0.696555,82.225,2525
|
||||
8.81229e-05,0.0103637,0.68317,90.5327,2012
|
||||
5.85726e-05,0.0103637,0.692007,78.9694,2646
|
||||
9.00751e-05,0.0103637,0.696617,83.061,2168
|
||||
9.74536e-05,0.0103637,0.701995,97.7498,1565
|
||||
8.15851e-05,0.0103637,0.693622,87.9928,1602
|
||||
0.000105786,0.0103637,0.702003,83.4737,1711
|
||||
|
||||
|
101
dokumentation/evolution3d/20171013_3dFit_4x4x7_100times.error
Normal file
101
dokumentation/evolution3d/20171013_3dFit_4x4x7_100times.error
Normal file
@ -0,0 +1,101 @@
|
||||
"Evolution error
|
||||
85.1149
|
||||
82.2095
|
||||
93.8283
|
||||
99.4121
|
||||
84.7928
|
||||
89.4784
|
||||
98.0445
|
||||
82.4413
|
||||
95.9898
|
||||
82.9514
|
||||
95.6417
|
||||
97.597
|
||||
92.8455
|
||||
87.554
|
||||
88.0962
|
||||
92.764
|
||||
92.6177
|
||||
91.9667
|
||||
82.2732
|
||||
94.741
|
||||
87.4631
|
||||
99.0457
|
||||
83.0585
|
||||
87.7612
|
||||
92.4952
|
||||
87.4672
|
||||
85.5196
|
||||
96.1244
|
||||
80.3879
|
||||
88.557
|
||||
80.9192
|
||||
88.0159
|
||||
92.5849
|
||||
95.6485
|
||||
82.6378
|
||||
86.2912
|
||||
87.6295
|
||||
93.7818
|
||||
81.2872
|
||||
92.884
|
||||
85.1577
|
||||
82.4601
|
||||
88.7562
|
||||
85.7044
|
||||
90.0389
|
||||
90.6256
|
||||
86.5225
|
||||
93.0686
|
||||
86.9607
|
||||
91.6042
|
||||
100.349
|
||||
78.4994
|
||||
89.8504
|
||||
83.6403
|
||||
101.654
|
||||
99.3329
|
||||
92.788
|
||||
83.6513
|
||||
85.7803
|
||||
83.9198
|
||||
97.1194
|
||||
86.66
|
||||
95.519
|
||||
94.3315
|
||||
89.9138
|
||||
89.7127
|
||||
88.7631
|
||||
86.5084
|
||||
93.2268
|
||||
86.4354
|
||||
91.7037
|
||||
89.9394
|
||||
82.762
|
||||
81.379
|
||||
80.2224
|
||||
79.8926
|
||||
95.5281
|
||||
87.6941
|
||||
101.649
|
||||
85.3415
|
||||
86.2938
|
||||
101.265
|
||||
84.5136
|
||||
90.5252
|
||||
90.4494
|
||||
94.5348
|
||||
77.2599
|
||||
89.5657
|
||||
78.0427
|
||||
91.3327
|
||||
116.609
|
||||
83.6798
|
||||
89.0655
|
||||
82.225
|
||||
90.5327
|
||||
78.9694
|
||||
83.061
|
||||
97.7498
|
||||
87.9928
|
||||
83.4737
|
||||
@ -0,0 +1,9 @@
|
||||
[1] "================ Analyzing 20171013_3dFit_4x4x7_100times.csv"
|
||||
[1] "Mean:"
|
||||
[1] 89.21728
|
||||
[1] "Median:"
|
||||
[1] 88.6566
|
||||
[1] "Sigma:"
|
||||
[1] 6.486783
|
||||
[1] "Range:"
|
||||
[1] 77.2599 116.6090
|
||||
@ -0,0 +1,49 @@
|
||||
[1] "================ Analyzing 20171013_3dFit_4x4x7_100times.csv"
|
||||
[1] "spearman for improvement-potential vs. evolution-error"
|
||||
x y
|
||||
x 1.00 -0.32
|
||||
y -0.32 1.00
|
||||
|
||||
n= 100
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0.0012
|
||||
y 0.0012
|
||||
[1] "spearman for improvement-potential vs. steps"
|
||||
x y
|
||||
x 1.00 0.13
|
||||
y 0.13 1.00
|
||||
|
||||
n= 100
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0.2147
|
||||
y 0.2147
|
||||
[1] "spearman for regularity vs. steps"
|
||||
x y
|
||||
x 1.00 -0.41
|
||||
y -0.41 1.00
|
||||
|
||||
n= 100
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0
|
||||
y 0
|
||||
[1] "spearman for variability vs. evolution-error"
|
||||
x y
|
||||
x 1 NaN
|
||||
y NaN 1
|
||||
|
||||
n= 100
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x
|
||||
y
|
||||
@ -1,101 +1,101 @@
|
||||
regularity,variability,improvement,"Evolution error",steps
|
||||
0.00013051,0.00740261,0.673824,91.4882.,1062
|
||||
0.000159037,0.00740261,0.666191,95.001.,1290
|
||||
0.000109945,0.00740261,0.685209,97.72.,1059
|
||||
0.000120805,0.00740261,0.688032,99.0429.,882
|
||||
0.000140221,0.00740261,0.675152,102.273.,1178
|
||||
0.000134368,0.00740261,0.661202,98.0028.,719
|
||||
0.000117293,0.00740261,0.660647,101.929.,1039
|
||||
9.7644e-05,0.00740261,0.667314,103.969.,1151
|
||||
0.000106383,0.00740261,0.662442,92.5069.,829
|
||||
0.000155402,0.00740261,0.654566,118.88.,500
|
||||
0.000113231,0.00740261,0.656068,96.2138.,1209
|
||||
0.000130038,0.00740261,0.664787,100.164.,1132
|
||||
0.000136999,0.00740261,0.664672,95.9282.,953
|
||||
0.000132682,0.00740261,0.661782,96.3737.,863
|
||||
0.000137845,0.00740261,0.68534,107.927.,456
|
||||
0.000145459,0.00740261,0.68091,98.0377.,655
|
||||
0.000102442,0.00740261,0.661866,94.9011.,1197
|
||||
0.00010359,0.00740261,0.669868,102.223.,1144
|
||||
0.000129823,0.00740261,0.677934,126.177.,487
|
||||
0.000132429,0.00740261,0.679809,101.879.,614
|
||||
0.000115304,0.00740261,0.669119,90.0009.,1160
|
||||
0.0001255,0.00740261,0.654297,101.026.,628
|
||||
0.000158057,0.00740261,0.664945,94.5618.,766
|
||||
0.000154108,0.00740261,0.671599,99.2481.,556
|
||||
0.000144671,0.00740261,0.671715,94.1741.,941
|
||||
0.000149935,0.00740261,0.664314,102.894.,593
|
||||
0.000120403,0.00740261,0.661916,103.993.,856
|
||||
0.000122521,0.00740261,0.688557,96.549.,1544
|
||||
0.000176649,0.00740261,0.673862,90.1281.,1182
|
||||
0.000148777,0.00740261,0.685072,104.444.,649
|
||||
0.000101352,0.00740261,0.673358,104.542.,1051
|
||||
0.000117799,0.00740261,0.656687,107.051.,525
|
||||
0.000119537,0.00740261,0.674016,102.128.,790
|
||||
0.000139523,0.00740261,0.674215,105.315.,537
|
||||
0.000136167,0.00740261,0.661759,104.097.,714
|
||||
0.000190288,0.00740261,0.67647,96.8133.,536
|
||||
0.000122321,0.00740261,0.667716,99.8496.,997
|
||||
0.000152454,0.00740261,0.673331,103.385.,653
|
||||
0.000136288,0.00740261,0.662476,108.874.,435
|
||||
0.000135477,0.00740261,0.658957,112.975.,489
|
||||
0.000118528,0.00740261,0.652968,113.068.,656
|
||||
0.000158042,0.00740261,0.669166,99.4226.,762
|
||||
8.34426e-05,0.00740261,0.669917,115.742.,473
|
||||
0.000103695,0.00740261,0.668814,94.4964.,919
|
||||
0.000111848,0.00740261,0.668306,103.45.,694
|
||||
0.000145773,0.00740261,0.671588,116.123.,468
|
||||
0.000121232,0.00740261,0.664407,98.1676.,742
|
||||
0.000141766,0.00740261,0.659441,105.069.,817
|
||||
0.000132584,0.00740261,0.680023,108.953.,641
|
||||
0.000107048,0.00740261,0.687908,91.997.,1336
|
||||
0.000144664,0.00740261,0.668632,95.3832.,1796
|
||||
0.000162707,0.00740261,0.67518,87.7666.,1475
|
||||
0.000152531,0.00740261,0.673962,97.0353.,1021
|
||||
0.000142111,0.00740261,0.678162,99.1089.,971
|
||||
0.000122117,0.00740261,0.673304,95.5062.,909
|
||||
0.000119921,0.00740261,0.650853,130.854.,465
|
||||
7.23937e-05,0.00740261,0.649618,101.333.,1045
|
||||
0.000139668,0.00740261,0.671239,96.735.,701
|
||||
0.00012961,0.00740261,0.671942,98.5471.,935
|
||||
0.000126957,0.00740261,0.664651,107.22.,929
|
||||
0.000157769,0.00740261,0.660679,97.6237.,917
|
||||
0.000152029,0.00740261,0.662968,105.503.,909
|
||||
9.66919e-05,0.00740261,0.65868,110.648.,599
|
||||
0.000152119,0.00740261,0.675902,95.6589.,779
|
||||
0.0001074,0.00740261,0.665579,98.2938.,755
|
||||
0.000117728,0.00740261,0.662558,103.401.,714
|
||||
0.000111497,0.00740261,0.661687,110.527.,530
|
||||
0.000110637,0.00740261,0.666203,96.7363.,1023
|
||||
0.00013237,0.00740261,0.666233,95.9747.,706
|
||||
0.000125735,0.00740261,0.689224,93.9381.,866
|
||||
0.000133393,0.00740261,0.657839,101.823.,732
|
||||
0.000144244,0.00740261,0.663091,115.05.,1226
|
||||
0.000124349,0.00740261,0.668097,101.306.,1122
|
||||
0.000142602,0.00740261,0.656584,102.493.,631
|
||||
0.000118057,0.00740261,0.662982,94.8579.,875
|
||||
0.000142745,0.00740261,0.67665,108.05.,644
|
||||
0.000165048,0.00740261,0.662857,101.873.,709
|
||||
0.000129561,0.00740261,0.657732,113.606.,609
|
||||
0.000128823,0.00740261,0.668196,97.6295.,754
|
||||
0.000137056,0.00740261,0.682813,94.5646.,1630
|
||||
0.000134364,0.00740261,0.661282,89.2764.,977
|
||||
0.000111668,0.00740261,0.671422,97.445.,885
|
||||
0.000143655,0.00740261,0.656792,101.923.,767
|
||||
0.000101243,0.00740261,0.668738,103.308.,702
|
||||
0.000126643,0.00740261,0.6921,92.9774.,1952
|
||||
0.00016266,0.00740261,0.677012,95.1595.,1241
|
||||
0.000124782,0.00740261,0.669869,101.54.,874
|
||||
0.000111837,0.00740261,0.658483,106.698.,735
|
||||
0.000170519,0.00740261,0.667606,108.192.,865
|
||||
0.000141366,0.00740261,0.657861,101.598.,676
|
||||
0.00014135,0.00740261,0.669907,102.393.,669
|
||||
0.000123703,0.00740261,0.652962,105.018.,689
|
||||
0.000132077,0.00740261,0.66298,94.0851.,991
|
||||
0.000116146,0.00740261,0.669464,97.1255.,1215
|
||||
0.000149136,0.00740261,0.672497,100.425.,740
|
||||
0.000125424,0.00740261,0.67969,100.988.,820
|
||||
9.2974e-05,0.00740261,0.682842,100.096.,858
|
||||
0.00010642,0.00740261,0.667256,95.9289.,859
|
||||
0.000126849,0.00740261,0.674574,89.3173.,1455
|
||||
0.000160011,0.00740261,0.652659,103.315.,462
|
||||
0.00013051,0.00740261,0.673824,91.4882,1062
|
||||
0.000159037,0.00740261,0.666191,95.001,1290
|
||||
0.000109945,0.00740261,0.685209,97.72,1059
|
||||
0.000120805,0.00740261,0.688032,99.0429,882
|
||||
0.000140221,0.00740261,0.675152,102.273,1178
|
||||
0.000134368,0.00740261,0.661202,98.0028,719
|
||||
0.000117293,0.00740261,0.660647,101.929,1039
|
||||
9.7644e-05,0.00740261,0.667314,103.969,1151
|
||||
0.000106383,0.00740261,0.662442,92.5069,829
|
||||
0.000155402,0.00740261,0.654566,118.88,500
|
||||
0.000113231,0.00740261,0.656068,96.2138,1209
|
||||
0.000130038,0.00740261,0.664787,100.164,1132
|
||||
0.000136999,0.00740261,0.664672,95.9282,953
|
||||
0.000132682,0.00740261,0.661782,96.3737,863
|
||||
0.000137845,0.00740261,0.68534,107.927,456
|
||||
0.000145459,0.00740261,0.68091,98.0377,655
|
||||
0.000102442,0.00740261,0.661866,94.9011,1197
|
||||
0.00010359,0.00740261,0.669868,102.223,1144
|
||||
0.000129823,0.00740261,0.677934,126.177,487
|
||||
0.000132429,0.00740261,0.679809,101.879,614
|
||||
0.000115304,0.00740261,0.669119,90.0009,1160
|
||||
0.0001255,0.00740261,0.654297,101.026,628
|
||||
0.000158057,0.00740261,0.664945,94.5618,766
|
||||
0.000154108,0.00740261,0.671599,99.2481,556
|
||||
0.000144671,0.00740261,0.671715,94.1741,941
|
||||
0.000149935,0.00740261,0.664314,102.894,593
|
||||
0.000120403,0.00740261,0.661916,103.993,856
|
||||
0.000122521,0.00740261,0.688557,96.549,1544
|
||||
0.000176649,0.00740261,0.673862,90.1281,1182
|
||||
0.000148777,0.00740261,0.685072,104.444,649
|
||||
0.000101352,0.00740261,0.673358,104.542,1051
|
||||
0.000117799,0.00740261,0.656687,107.051,525
|
||||
0.000119537,0.00740261,0.674016,102.128,790
|
||||
0.000139523,0.00740261,0.674215,105.315,537
|
||||
0.000136167,0.00740261,0.661759,104.097,714
|
||||
0.000190288,0.00740261,0.67647,96.8133,536
|
||||
0.000122321,0.00740261,0.667716,99.8496,997
|
||||
0.000152454,0.00740261,0.673331,103.385,653
|
||||
0.000136288,0.00740261,0.662476,108.874,435
|
||||
0.000135477,0.00740261,0.658957,112.975,489
|
||||
0.000118528,0.00740261,0.652968,113.068,656
|
||||
0.000158042,0.00740261,0.669166,99.4226,762
|
||||
8.34426e-05,0.00740261,0.669917,115.742,473
|
||||
0.000103695,0.00740261,0.668814,94.4964,919
|
||||
0.000111848,0.00740261,0.668306,103.45,694
|
||||
0.000145773,0.00740261,0.671588,116.123,468
|
||||
0.000121232,0.00740261,0.664407,98.1676,742
|
||||
0.000141766,0.00740261,0.659441,105.069,817
|
||||
0.000132584,0.00740261,0.680023,108.953,641
|
||||
0.000107048,0.00740261,0.687908,91.997,1336
|
||||
0.000144664,0.00740261,0.668632,95.3832,1796
|
||||
0.000162707,0.00740261,0.67518,87.7666,1475
|
||||
0.000152531,0.00740261,0.673962,97.0353,1021
|
||||
0.000142111,0.00740261,0.678162,99.1089,971
|
||||
0.000122117,0.00740261,0.673304,95.5062,909
|
||||
0.000119921,0.00740261,0.650853,130.854,465
|
||||
7.23937e-05,0.00740261,0.649618,101.333,1045
|
||||
0.000139668,0.00740261,0.671239,96.735,701
|
||||
0.00012961,0.00740261,0.671942,98.5471,935
|
||||
0.000126957,0.00740261,0.664651,107.22,929
|
||||
0.000157769,0.00740261,0.660679,97.6237,917
|
||||
0.000152029,0.00740261,0.662968,105.503,909
|
||||
9.66919e-05,0.00740261,0.65868,110.648,599
|
||||
0.000152119,0.00740261,0.675902,95.6589,779
|
||||
0.0001074,0.00740261,0.665579,98.2938,755
|
||||
0.000117728,0.00740261,0.662558,103.401,714
|
||||
0.000111497,0.00740261,0.661687,110.527,530
|
||||
0.000110637,0.00740261,0.666203,96.7363,1023
|
||||
0.00013237,0.00740261,0.666233,95.9747,706
|
||||
0.000125735,0.00740261,0.689224,93.9381,866
|
||||
0.000133393,0.00740261,0.657839,101.823,732
|
||||
0.000144244,0.00740261,0.663091,115.05,1226
|
||||
0.000124349,0.00740261,0.668097,101.306,1122
|
||||
0.000142602,0.00740261,0.656584,102.493,631
|
||||
0.000118057,0.00740261,0.662982,94.8579,875
|
||||
0.000142745,0.00740261,0.67665,108.05,644
|
||||
0.000165048,0.00740261,0.662857,101.873,709
|
||||
0.000129561,0.00740261,0.657732,113.606,609
|
||||
0.000128823,0.00740261,0.668196,97.6295,754
|
||||
0.000137056,0.00740261,0.682813,94.5646,1630
|
||||
0.000134364,0.00740261,0.661282,89.2764,977
|
||||
0.000111668,0.00740261,0.671422,97.445,885
|
||||
0.000143655,0.00740261,0.656792,101.923,767
|
||||
0.000101243,0.00740261,0.668738,103.308,702
|
||||
0.000126643,0.00740261,0.6921,92.9774,1952
|
||||
0.00016266,0.00740261,0.677012,95.1595,1241
|
||||
0.000124782,0.00740261,0.669869,101.54,874
|
||||
0.000111837,0.00740261,0.658483,106.698,735
|
||||
0.000170519,0.00740261,0.667606,108.192,865
|
||||
0.000141366,0.00740261,0.657861,101.598,676
|
||||
0.00014135,0.00740261,0.669907,102.393,669
|
||||
0.000123703,0.00740261,0.652962,105.018,689
|
||||
0.000132077,0.00740261,0.66298,94.0851,991
|
||||
0.000116146,0.00740261,0.669464,97.1255,1215
|
||||
0.000149136,0.00740261,0.672497,100.425,740
|
||||
0.000125424,0.00740261,0.67969,100.988,820
|
||||
9.2974e-05,0.00740261,0.682842,100.096,858
|
||||
0.00010642,0.00740261,0.667256,95.9289,859
|
||||
0.000126849,0.00740261,0.674574,89.3173,1455
|
||||
0.000160011,0.00740261,0.652659,103.315,462
|
||||
|
||||
|
101
dokumentation/evolution3d/20171013_3dFit_5x4x4_100times.error
Normal file
101
dokumentation/evolution3d/20171013_3dFit_5x4x4_100times.error
Normal file
@ -0,0 +1,101 @@
|
||||
"Evolution error
|
||||
91.4882
|
||||
95.001
|
||||
97.72
|
||||
99.0429
|
||||
102.273
|
||||
98.0028
|
||||
101.929
|
||||
103.969
|
||||
92.5069
|
||||
118.88
|
||||
96.2138
|
||||
100.164
|
||||
95.9282
|
||||
96.3737
|
||||
107.927
|
||||
98.0377
|
||||
94.9011
|
||||
102.223
|
||||
126.177
|
||||
101.879
|
||||
90.0009
|
||||
101.026
|
||||
94.5618
|
||||
99.2481
|
||||
94.1741
|
||||
102.894
|
||||
103.993
|
||||
96.549
|
||||
90.1281
|
||||
104.444
|
||||
104.542
|
||||
107.051
|
||||
102.128
|
||||
105.315
|
||||
104.097
|
||||
96.8133
|
||||
99.8496
|
||||
103.385
|
||||
108.874
|
||||
112.975
|
||||
113.068
|
||||
99.4226
|
||||
115.742
|
||||
94.4964
|
||||
103.45
|
||||
116.123
|
||||
98.1676
|
||||
105.069
|
||||
108.953
|
||||
91.997
|
||||
95.3832
|
||||
87.7666
|
||||
97.0353
|
||||
99.1089
|
||||
95.5062
|
||||
130.854
|
||||
101.333
|
||||
96.735
|
||||
98.5471
|
||||
107.22
|
||||
97.6237
|
||||
105.503
|
||||
110.648
|
||||
95.6589
|
||||
98.2938
|
||||
103.401
|
||||
110.527
|
||||
96.7363
|
||||
95.9747
|
||||
93.9381
|
||||
101.823
|
||||
115.05
|
||||
101.306
|
||||
102.493
|
||||
94.8579
|
||||
108.05
|
||||
101.873
|
||||
113.606
|
||||
97.6295
|
||||
94.5646
|
||||
89.2764
|
||||
97.445
|
||||
101.923
|
||||
103.308
|
||||
92.9774
|
||||
95.1595
|
||||
101.54
|
||||
106.698
|
||||
108.192
|
||||
101.598
|
||||
102.393
|
||||
105.018
|
||||
94.0851
|
||||
97.1255
|
||||
100.425
|
||||
100.988
|
||||
100.096
|
||||
95.9289
|
||||
89.3173
|
||||
103.315
|
||||
@ -0,0 +1,9 @@
|
||||
[1] "================ Analyzing 20171013_3dFit_5x4x4_100times.csv"
|
||||
[1] "Mean:"
|
||||
[1] 101.2503
|
||||
[1] "Median:"
|
||||
[1] 100.7065
|
||||
[1] "Sigma:"
|
||||
[1] 7.448474
|
||||
[1] "Range:"
|
||||
[1] 87.7666 130.8540
|
||||
@ -0,0 +1,49 @@
|
||||
[1] "================ Analyzing 20171013_3dFit_5x4x4_100times.csv"
|
||||
[1] "spearman for improvement-potential vs. evolution-error"
|
||||
x y
|
||||
x 1.0 -0.3
|
||||
y -0.3 1.0
|
||||
|
||||
n= 100
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0.0023
|
||||
y 0.0023
|
||||
[1] "spearman for improvement-potential vs. steps"
|
||||
x y
|
||||
x 1.00 0.25
|
||||
y 0.25 1.00
|
||||
|
||||
n= 100
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0.0124
|
||||
y 0.0124
|
||||
[1] "spearman for regularity vs. steps"
|
||||
x y
|
||||
x 1.00 -0.15
|
||||
y -0.15 1.00
|
||||
|
||||
n= 100
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0.147
|
||||
y 0.147
|
||||
[1] "spearman for variability vs. evolution-error"
|
||||
x y
|
||||
x 1 NaN
|
||||
y NaN 1
|
||||
|
||||
n= 100
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x
|
||||
y
|
||||
@ -1,111 +1,111 @@
|
||||
regularity,variability,improvement,"Evolution error",steps
|
||||
5.1634e-05,0.019987,0.821015,56.9424.,503
|
||||
5.98077e-05,0.019987,0.806926,65.8672.,369
|
||||
5.24599e-05,0.019987,0.819404,61.6979.,506
|
||||
4.79077e-05,0.019987,0.808663,64.1851.,343
|
||||
4.62386e-05,0.019987,0.81824,55.1204.,1027
|
||||
5.29607e-05,0.019987,0.818404,63.4494.,614
|
||||
5.96103e-05,0.019987,0.819549,56.8508.,704
|
||||
6.29854e-05,0.019987,0.81534,68.7883.,496
|
||||
4.80849e-05,0.019987,0.80758,63.1337.,494
|
||||
5.37275e-05,0.019987,0.82125,71.6163.,295
|
||||
4.93684e-05,0.019987,0.818061,71.1037.,395
|
||||
5.93542e-05,0.019987,0.818596,55.0916.,872
|
||||
4.82919e-05,0.019987,0.821873,63.109.,498
|
||||
4.3605e-05,0.019987,0.812444,56.7978.,654
|
||||
5.13112e-05,0.019987,0.819994,64.0039.,517
|
||||
4.85288e-05,0.019987,0.824177,63.2723.,456
|
||||
5.31536e-05,0.019987,0.817944,57.7703.,649
|
||||
5.11693e-05,0.019987,0.816308,61.9955.,697
|
||||
5.98874e-05,0.019987,0.813035,55.9687.,595
|
||||
4.77375e-05,0.019987,0.818061,78.0966.,352
|
||||
4.86381e-05,0.019987,0.819193,65.5659.,372
|
||||
5.18629e-05,0.019987,0.807262,65.5294.,306
|
||||
5.98871e-05,0.019987,0.821836,52.8169.,1140
|
||||
4.75005e-05,0.019987,0.814927,59.6491.,414
|
||||
6.57343e-05,0.019987,0.816886,54.1868.,714
|
||||
4.81255e-05,0.019987,0.814093,64.4377.,387
|
||||
5.66296e-05,0.019987,0.822315,64.634.,416
|
||||
4.52324e-05,0.019987,0.824189,61.125.,418
|
||||
4.31071e-05,0.019987,0.819961,59.6531.,642
|
||||
5.02423e-05,0.019987,0.824477,61.0567.,373
|
||||
5.64297e-05,0.019987,0.815652,66.6297.,360
|
||||
4.86533e-05,0.019987,0.81838,70.4683.,344
|
||||
4.52632e-05,0.019987,0.825565,63.4839.,516
|
||||
4.40725e-05,0.019987,0.81282,58.2558.,638
|
||||
5.39424e-05,0.019987,0.82055,66.0124.,401
|
||||
5.06277e-05,0.019987,0.813651,57.8232.,549
|
||||
5.27257e-05,0.019987,0.824169,63.7635.,581
|
||||
5.30141e-05,0.019987,0.81621,58.0721.,799
|
||||
5.5507e-05,0.019987,0.81341,60.9659.,561
|
||||
6.39461e-05,0.019987,0.817711,62.2392.,489
|
||||
4.84306e-05,0.019987,0.818441,75.0921.,324
|
||||
4.23019e-05,0.019987,0.818999,55.2029.,894
|
||||
4.93436e-05,0.019987,0.819546,82.5252.,232
|
||||
5.32164e-05,0.019987,0.810498,60.4597.,641
|
||||
5.31507e-05,0.019987,0.821089,58.192.,650
|
||||
5.35528e-05,0.019987,0.818609,65.2124.,552
|
||||
6.1614e-05,0.019987,0.811118,60.0963.,547
|
||||
5.71983e-05,0.019987,0.820583,75.3887.,327
|
||||
4.83152e-05,0.019987,0.818396,80.3804.,337
|
||||
6.61514e-05,0.019987,0.815516,55.2663.,820
|
||||
4.82425e-05,0.019987,0.818924,60.0725.,659
|
||||
5.62528e-05,0.019987,0.814976,62.3384.,561
|
||||
5.729e-05,0.019987,0.813128,64.2813.,423
|
||||
5.05547e-05,0.019987,0.828796,61.7037.,452
|
||||
6.5795e-05,0.019987,0.819006,59.3731.,682
|
||||
4.81851e-05,0.019987,0.810773,65.7621.,519
|
||||
4.71572e-05,0.019987,0.818411,63.3544.,597
|
||||
5.51473e-05,0.019987,0.821968,56.9314.,714
|
||||
5.11641e-05,0.019987,0.818027,59.2639.,508
|
||||
4.6152e-05,0.019987,0.814812,73.3526.,334
|
||||
5.38669e-05,0.019987,0.826693,66.3558.,487
|
||||
5.32945e-05,0.019987,0.821158,60.2468.,587
|
||||
6.13858e-05,0.019987,0.819076,59.9975.,683
|
||||
5.70354e-05,0.019987,0.812178,66.071.,418
|
||||
4.69061e-05,0.019987,0.821529,66.9982.,484
|
||||
6.00754e-05,0.019987,0.821096,56.1226.,754
|
||||
5.19496e-05,0.019987,0.822357,66.7656.,602
|
||||
5.63659e-05,0.019987,0.822386,65.502.,459
|
||||
4.77469e-05,0.019987,0.823807,59.5304.,745
|
||||
6.46184e-05,0.019987,0.817669,59.7764.,536
|
||||
5.2327e-05,0.019987,0.822045,62.1932.,439
|
||||
5.12023e-05,0.019987,0.818101,61.2462.,463
|
||||
5.40361e-05,0.019987,0.812991,75.8608.,319
|
||||
6.30794e-05,0.019987,0.81467,69.8036.,417
|
||||
5.08535e-05,0.019987,0.812769,64.1075.,567
|
||||
5.70836e-05,0.019987,0.821128,66.444.,419
|
||||
5.12706e-05,0.019987,0.826058,55.9495.,596
|
||||
5.15447e-05,0.019987,0.824358,74.2188.,617
|
||||
5.50095e-05,0.019987,0.808441,61.8076.,343
|
||||
5.22578e-05,0.019987,0.826867,65.2168.,445
|
||||
5.57071e-05,0.019987,0.814731,57.2958.,473
|
||||
5.8164e-05,0.019987,0.811804,52.0186.,649
|
||||
4.83922e-05,0.019987,0.812076,66.3049.,386
|
||||
5.68428e-05,0.019987,0.818022,68.9979.,485
|
||||
5.56237e-05,0.019987,0.828738,64.4292.,587
|
||||
5.75105e-05,0.019987,0.812075,57.3039.,681
|
||||
4.43022e-05,0.019987,0.821805,60.8438.,440
|
||||
6.01032e-05,0.019987,0.818629,61.5872.,452
|
||||
5.0508e-05,0.019987,0.823783,58.9557.,505
|
||||
5.30727e-05,0.019987,0.824292,58.0811.,515
|
||||
5.77523e-05,0.019987,0.810299,61.8499.,662
|
||||
5.4172e-05,0.019987,0.817539,58.8907.,516
|
||||
5.48127e-05,0.019987,0.810484,60.5339.,607
|
||||
5.55181e-05,0.019987,0.818503,66.9486.,408
|
||||
5.62617e-05,0.019987,0.826397,57.7944.,720
|
||||
4.60446e-05,0.019987,0.82628,62.5237.,605
|
||||
5.49339e-05,0.019987,0.820646,60.6411.,411
|
||||
6.71911e-05,0.019987,0.814597,72.3431.,372
|
||||
5.07036e-05,0.019987,0.811846,61.1932.,503
|
||||
5.71656e-05,0.019987,0.807624,59.7782.,506
|
||||
5.68834e-05,0.019987,0.810044,58.5321.,460
|
||||
4.6687e-05,0.019987,0.824431,60.3221.,726
|
||||
6.41573e-05,0.019987,0.80597,62.104.,504
|
||||
5.31651e-05,0.019987,0.825726,65.3453.,367
|
||||
5.70612e-05,0.019987,0.823074,61.6116.,745
|
||||
5.58052e-05,0.019987,0.818552,62.1421.,411
|
||||
4.92271e-05,0.019987,0.813883,64.1642.,561
|
||||
5.11719e-05,0.019987,0.815262,59.2356.,499
|
||||
6.10619e-05,0.019987,0.817943,55.0987.,1004
|
||||
4.4631e-05,0.019987,0.805461,64.6963.,474
|
||||
5.1634e-05,0.019987,0.821015,56.9424,503
|
||||
5.98077e-05,0.019987,0.806926,65.8672,369
|
||||
5.24599e-05,0.019987,0.819404,61.6979,506
|
||||
4.79077e-05,0.019987,0.808663,64.1851,343
|
||||
4.62386e-05,0.019987,0.81824,55.1204,1027
|
||||
5.29607e-05,0.019987,0.818404,63.4494,614
|
||||
5.96103e-05,0.019987,0.819549,56.8508,704
|
||||
6.29854e-05,0.019987,0.81534,68.7883,496
|
||||
4.80849e-05,0.019987,0.80758,63.1337,494
|
||||
5.37275e-05,0.019987,0.82125,71.6163,295
|
||||
4.93684e-05,0.019987,0.818061,71.1037,395
|
||||
5.93542e-05,0.019987,0.818596,55.0916,872
|
||||
4.82919e-05,0.019987,0.821873,63.109,498
|
||||
4.3605e-05,0.019987,0.812444,56.7978,654
|
||||
5.13112e-05,0.019987,0.819994,64.0039,517
|
||||
4.85288e-05,0.019987,0.824177,63.2723,456
|
||||
5.31536e-05,0.019987,0.817944,57.7703,649
|
||||
5.11693e-05,0.019987,0.816308,61.9955,697
|
||||
5.98874e-05,0.019987,0.813035,55.9687,595
|
||||
4.77375e-05,0.019987,0.818061,78.0966,352
|
||||
4.86381e-05,0.019987,0.819193,65.5659,372
|
||||
5.18629e-05,0.019987,0.807262,65.5294,306
|
||||
5.98871e-05,0.019987,0.821836,52.8169,1140
|
||||
4.75005e-05,0.019987,0.814927,59.6491,414
|
||||
6.57343e-05,0.019987,0.816886,54.1868,714
|
||||
4.81255e-05,0.019987,0.814093,64.4377,387
|
||||
5.66296e-05,0.019987,0.822315,64.634,416
|
||||
4.52324e-05,0.019987,0.824189,61.125,418
|
||||
4.31071e-05,0.019987,0.819961,59.6531,642
|
||||
5.02423e-05,0.019987,0.824477,61.0567,373
|
||||
5.64297e-05,0.019987,0.815652,66.6297,360
|
||||
4.86533e-05,0.019987,0.81838,70.4683,344
|
||||
4.52632e-05,0.019987,0.825565,63.4839,516
|
||||
4.40725e-05,0.019987,0.81282,58.2558,638
|
||||
5.39424e-05,0.019987,0.82055,66.0124,401
|
||||
5.06277e-05,0.019987,0.813651,57.8232,549
|
||||
5.27257e-05,0.019987,0.824169,63.7635,581
|
||||
5.30141e-05,0.019987,0.81621,58.0721,799
|
||||
5.5507e-05,0.019987,0.81341,60.9659,561
|
||||
6.39461e-05,0.019987,0.817711,62.2392,489
|
||||
4.84306e-05,0.019987,0.818441,75.0921,324
|
||||
4.23019e-05,0.019987,0.818999,55.2029,894
|
||||
4.93436e-05,0.019987,0.819546,82.5252,232
|
||||
5.32164e-05,0.019987,0.810498,60.4597,641
|
||||
5.31507e-05,0.019987,0.821089,58.192,650
|
||||
5.35528e-05,0.019987,0.818609,65.2124,552
|
||||
6.1614e-05,0.019987,0.811118,60.0963,547
|
||||
5.71983e-05,0.019987,0.820583,75.3887,327
|
||||
4.83152e-05,0.019987,0.818396,80.3804,337
|
||||
6.61514e-05,0.019987,0.815516,55.2663,820
|
||||
4.82425e-05,0.019987,0.818924,60.0725,659
|
||||
5.62528e-05,0.019987,0.814976,62.3384,561
|
||||
5.729e-05,0.019987,0.813128,64.2813,423
|
||||
5.05547e-05,0.019987,0.828796,61.7037,452
|
||||
6.5795e-05,0.019987,0.819006,59.3731,682
|
||||
4.81851e-05,0.019987,0.810773,65.7621,519
|
||||
4.71572e-05,0.019987,0.818411,63.3544,597
|
||||
5.51473e-05,0.019987,0.821968,56.9314,714
|
||||
5.11641e-05,0.019987,0.818027,59.2639,508
|
||||
4.6152e-05,0.019987,0.814812,73.3526,334
|
||||
5.38669e-05,0.019987,0.826693,66.3558,487
|
||||
5.32945e-05,0.019987,0.821158,60.2468,587
|
||||
6.13858e-05,0.019987,0.819076,59.9975,683
|
||||
5.70354e-05,0.019987,0.812178,66.071,418
|
||||
4.69061e-05,0.019987,0.821529,66.9982,484
|
||||
6.00754e-05,0.019987,0.821096,56.1226,754
|
||||
5.19496e-05,0.019987,0.822357,66.7656,602
|
||||
5.63659e-05,0.019987,0.822386,65.502,459
|
||||
4.77469e-05,0.019987,0.823807,59.5304,745
|
||||
6.46184e-05,0.019987,0.817669,59.7764,536
|
||||
5.2327e-05,0.019987,0.822045,62.1932,439
|
||||
5.12023e-05,0.019987,0.818101,61.2462,463
|
||||
5.40361e-05,0.019987,0.812991,75.8608,319
|
||||
6.30794e-05,0.019987,0.81467,69.8036,417
|
||||
5.08535e-05,0.019987,0.812769,64.1075,567
|
||||
5.70836e-05,0.019987,0.821128,66.444,419
|
||||
5.12706e-05,0.019987,0.826058,55.9495,596
|
||||
5.15447e-05,0.019987,0.824358,74.2188,617
|
||||
5.50095e-05,0.019987,0.808441,61.8076,343
|
||||
5.22578e-05,0.019987,0.826867,65.2168,445
|
||||
5.57071e-05,0.019987,0.814731,57.2958,473
|
||||
5.8164e-05,0.019987,0.811804,52.0186,649
|
||||
4.83922e-05,0.019987,0.812076,66.3049,386
|
||||
5.68428e-05,0.019987,0.818022,68.9979,485
|
||||
5.56237e-05,0.019987,0.828738,64.4292,587
|
||||
5.75105e-05,0.019987,0.812075,57.3039,681
|
||||
4.43022e-05,0.019987,0.821805,60.8438,440
|
||||
6.01032e-05,0.019987,0.818629,61.5872,452
|
||||
5.0508e-05,0.019987,0.823783,58.9557,505
|
||||
5.30727e-05,0.019987,0.824292,58.0811,515
|
||||
5.77523e-05,0.019987,0.810299,61.8499,662
|
||||
5.4172e-05,0.019987,0.817539,58.8907,516
|
||||
5.48127e-05,0.019987,0.810484,60.5339,607
|
||||
5.55181e-05,0.019987,0.818503,66.9486,408
|
||||
5.62617e-05,0.019987,0.826397,57.7944,720
|
||||
4.60446e-05,0.019987,0.82628,62.5237,605
|
||||
5.49339e-05,0.019987,0.820646,60.6411,411
|
||||
6.71911e-05,0.019987,0.814597,72.3431,372
|
||||
5.07036e-05,0.019987,0.811846,61.1932,503
|
||||
5.71656e-05,0.019987,0.807624,59.7782,506
|
||||
5.68834e-05,0.019987,0.810044,58.5321,460
|
||||
4.6687e-05,0.019987,0.824431,60.3221,726
|
||||
6.41573e-05,0.019987,0.80597,62.104,504
|
||||
5.31651e-05,0.019987,0.825726,65.3453,367
|
||||
5.70612e-05,0.019987,0.823074,61.6116,745
|
||||
5.58052e-05,0.019987,0.818552,62.1421,411
|
||||
4.92271e-05,0.019987,0.813883,64.1642,561
|
||||
5.11719e-05,0.019987,0.815262,59.2356,499
|
||||
6.10619e-05,0.019987,0.817943,55.0987,1004
|
||||
4.4631e-05,0.019987,0.805461,64.6963,474
|
||||
|
||||
|
@ -0,0 +1,111 @@
|
||||
"Evolution error
|
||||
56.9424
|
||||
65.8672
|
||||
61.6979
|
||||
64.1851
|
||||
55.1204
|
||||
63.4494
|
||||
56.8508
|
||||
68.7883
|
||||
63.1337
|
||||
71.6163
|
||||
71.1037
|
||||
55.0916
|
||||
63.109
|
||||
56.7978
|
||||
64.0039
|
||||
63.2723
|
||||
57.7703
|
||||
61.9955
|
||||
55.9687
|
||||
78.0966
|
||||
65.5659
|
||||
65.5294
|
||||
52.8169
|
||||
59.6491
|
||||
54.1868
|
||||
64.4377
|
||||
64.634
|
||||
61.125
|
||||
59.6531
|
||||
61.0567
|
||||
66.6297
|
||||
70.4683
|
||||
63.4839
|
||||
58.2558
|
||||
66.0124
|
||||
57.8232
|
||||
63.7635
|
||||
58.0721
|
||||
60.9659
|
||||
62.2392
|
||||
75.0921
|
||||
55.2029
|
||||
82.5252
|
||||
60.4597
|
||||
58.192
|
||||
65.2124
|
||||
60.0963
|
||||
75.3887
|
||||
80.3804
|
||||
55.2663
|
||||
60.0725
|
||||
62.3384
|
||||
64.2813
|
||||
61.7037
|
||||
59.3731
|
||||
65.7621
|
||||
63.3544
|
||||
56.9314
|
||||
59.2639
|
||||
73.3526
|
||||
66.3558
|
||||
60.2468
|
||||
59.9975
|
||||
66.071
|
||||
66.9982
|
||||
56.1226
|
||||
66.7656
|
||||
65.502
|
||||
59.5304
|
||||
59.7764
|
||||
62.1932
|
||||
61.2462
|
||||
75.8608
|
||||
69.8036
|
||||
64.1075
|
||||
66.444
|
||||
55.9495
|
||||
74.2188
|
||||
61.8076
|
||||
65.2168
|
||||
57.2958
|
||||
52.0186
|
||||
66.3049
|
||||
68.9979
|
||||
64.4292
|
||||
57.3039
|
||||
60.8438
|
||||
61.5872
|
||||
58.9557
|
||||
58.0811
|
||||
61.8499
|
||||
58.8907
|
||||
60.5339
|
||||
66.9486
|
||||
57.7944
|
||||
62.5237
|
||||
60.6411
|
||||
72.3431
|
||||
61.1932
|
||||
59.7782
|
||||
58.5321
|
||||
60.3221
|
||||
62.104
|
||||
65.3453
|
||||
61.6116
|
||||
62.1421
|
||||
64.1642
|
||||
59.2356
|
||||
55.0987
|
||||
64.6963
|
||||
@ -0,0 +1,9 @@
|
||||
[1] "================ Analyzing 20171021-evolution3D_6x6_100Times.csv"
|
||||
[1] "Mean:"
|
||||
[1] 62.82964
|
||||
[1] "Median:"
|
||||
[1] 61.9227
|
||||
[1] "Sigma:"
|
||||
[1] 5.727806
|
||||
[1] "Range:"
|
||||
[1] 52.0186 82.5252
|
||||
@ -0,0 +1,49 @@
|
||||
[1] "================ Analyzing 20171021-evolution3D_6x6_100Times.csv"
|
||||
[1] "spearman for improvement-potential vs. evolution-error"
|
||||
x y
|
||||
x 1.00 0.01
|
||||
y 0.01 1.00
|
||||
|
||||
n= 110
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0.8803
|
||||
y 0.8803
|
||||
[1] "spearman for improvement-potential vs. steps"
|
||||
x y
|
||||
x 1.0 0.1
|
||||
y 0.1 1.0
|
||||
|
||||
n= 110
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0.3009
|
||||
y 0.3009
|
||||
[1] "spearman for regularity vs. steps"
|
||||
x y
|
||||
x 1.00 0.13
|
||||
y 0.13 1.00
|
||||
|
||||
n= 110
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0.1715
|
||||
y 0.1715
|
||||
[1] "spearman for variability vs. evolution-error"
|
||||
x y
|
||||
x 1 NaN
|
||||
y NaN 1
|
||||
|
||||
n= 110
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x
|
||||
y
|
||||
@ -0,0 +1,11 @@
|
||||
regularity,variability,improvement
|
||||
0,0.090682,0.913618
|
||||
0,0.0907745,0.913428
|
||||
0,0.0905894,0.916839
|
||||
0,0.090682,0.915586
|
||||
0,0.0907745,0.915006
|
||||
0,0.090867,0.91456
|
||||
0,0.0907745,0.912454
|
||||
0,0.0903118,0.914794
|
||||
0,0.0904969,0.912754
|
||||
0,0.0909596,0.912461
|
||||
|
@ -0,0 +1,184 @@
|
||||
|
||||
|
||||
*******************************************************************************
|
||||
Wed Oct 25 16:01:21 2017
|
||||
|
||||
|
||||
FIT: data read from "20171025-evolution3D_10x10x10_noFit.csv" every ::1 using 1:5
|
||||
format = x:z
|
||||
#datapoints = 6
|
||||
residuals are weighted equally (unit weight)
|
||||
|
||||
function used for fitting: f(x)
|
||||
fitted parameters initialized with current variable values
|
||||
|
||||
|
||||
|
||||
Iteration 0
|
||||
WSSR : 9.03463 delta(WSSR)/WSSR : 0
|
||||
delta(WSSR) : 0 limit for stopping : 1e-05
|
||||
lambda : 0.800174
|
||||
|
||||
initial set of free parameter values
|
||||
|
||||
a = 1
|
||||
b = 1
|
||||
|
||||
After 4 iterations the fit converged.
|
||||
final sum of squares of residuals : 0.760112
|
||||
rel. change during last iteration : -7.81424e-14
|
||||
|
||||
degrees of freedom (FIT_NDF) : 4
|
||||
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435922
|
||||
variance of residuals (reduced chisquare) = WSSR/ndf : 0.190028
|
||||
|
||||
Final set of parameters Asymptotic Standard Error
|
||||
======================= ==========================
|
||||
|
||||
a = -0.500504 +/- 0.4333 (86.58%)
|
||||
b = 0.50226 +/- 0.2295 (45.7%)
|
||||
|
||||
|
||||
correlation matrix of the fit parameters:
|
||||
|
||||
a b
|
||||
a 1.000
|
||||
b -0.632 1.000
|
||||
|
||||
|
||||
*******************************************************************************
|
||||
Wed Oct 25 16:01:21 2017
|
||||
|
||||
|
||||
FIT: data read from "20171025-evolution3D_10x10x10_noFit.csv" every ::1 using 3:5
|
||||
format = x:z
|
||||
#datapoints = 6
|
||||
residuals are weighted equally (unit weight)
|
||||
|
||||
function used for fitting: g(x)
|
||||
fitted parameters initialized with current variable values
|
||||
|
||||
|
||||
|
||||
Iteration 0
|
||||
WSSR : 9.042 delta(WSSR)/WSSR : 0
|
||||
delta(WSSR) : 0 limit for stopping : 1e-05
|
||||
lambda : 0.80039
|
||||
|
||||
initial set of free parameter values
|
||||
|
||||
aa = 1
|
||||
bb = 1
|
||||
|
||||
After 4 iterations the fit converged.
|
||||
final sum of squares of residuals : 0.760537
|
||||
rel. change during last iteration : -7.73688e-14
|
||||
|
||||
degrees of freedom (FIT_NDF) : 4
|
||||
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.436044
|
||||
variance of residuals (reduced chisquare) = WSSR/ndf : 0.190134
|
||||
|
||||
Final set of parameters Asymptotic Standard Error
|
||||
======================= ==========================
|
||||
|
||||
aa = -0.499395 +/- 0.4329 (86.68%)
|
||||
bb = 0.502057 +/- 0.2296 (45.72%)
|
||||
|
||||
|
||||
correlation matrix of the fit parameters:
|
||||
|
||||
aa bb
|
||||
aa 1.000
|
||||
bb -0.631 1.000
|
||||
|
||||
|
||||
*******************************************************************************
|
||||
Wed Oct 25 16:01:21 2017
|
||||
|
||||
|
||||
FIT: data read from "20171025-evolution3D_10x10x10_noFit.csv" every ::1 using 3:4
|
||||
format = x:z
|
||||
#datapoints = 6
|
||||
residuals are weighted equally (unit weight)
|
||||
|
||||
function used for fitting: h(x)
|
||||
fitted parameters initialized with current variable values
|
||||
|
||||
|
||||
|
||||
Iteration 0
|
||||
WSSR : 9.04152 delta(WSSR)/WSSR : 0
|
||||
delta(WSSR) : 0 limit for stopping : 1e-05
|
||||
lambda : 0.80039
|
||||
|
||||
initial set of free parameter values
|
||||
|
||||
aaa = 1
|
||||
bbb = 1
|
||||
|
||||
After 4 iterations the fit converged.
|
||||
final sum of squares of residuals : 0.763537
|
||||
rel. change during last iteration : -7.73556e-14
|
||||
|
||||
degrees of freedom (FIT_NDF) : 4
|
||||
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.436903
|
||||
variance of residuals (reduced chisquare) = WSSR/ndf : 0.190884
|
||||
|
||||
Final set of parameters Asymptotic Standard Error
|
||||
======================= ==========================
|
||||
|
||||
aaa = -0.501106 +/- 0.4337 (86.55%)
|
||||
bbb = 0.503355 +/- 0.23 (45.7%)
|
||||
|
||||
|
||||
correlation matrix of the fit parameters:
|
||||
|
||||
aaa bbb
|
||||
aaa 1.000
|
||||
bbb -0.631 1.000
|
||||
|
||||
|
||||
*******************************************************************************
|
||||
Wed Oct 25 16:01:21 2017
|
||||
|
||||
|
||||
FIT: data read from "20171025-evolution3D_10x10x10_noFit.csv" every ::1 using 2:4
|
||||
format = x:z
|
||||
#datapoints = 6
|
||||
residuals are weighted equally (unit weight)
|
||||
|
||||
function used for fitting: i(x)
|
||||
fitted parameters initialized with current variable values
|
||||
|
||||
|
||||
|
||||
Iteration 0
|
||||
WSSR : 9.04263 delta(WSSR)/WSSR : 0
|
||||
delta(WSSR) : 0 limit for stopping : 1e-05
|
||||
lambda : 0.800411
|
||||
|
||||
initial set of free parameter values
|
||||
|
||||
aaaa = 1
|
||||
bbbb = 1
|
||||
|
||||
After 4 iterations the fit converged.
|
||||
final sum of squares of residuals : 0.763697
|
||||
rel. change during last iteration : -7.7194e-14
|
||||
|
||||
degrees of freedom (FIT_NDF) : 4
|
||||
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.436949
|
||||
variance of residuals (reduced chisquare) = WSSR/ndf : 0.190924
|
||||
|
||||
Final set of parameters Asymptotic Standard Error
|
||||
======================= ==========================
|
||||
|
||||
aaaa = -0.50098 +/- 0.4338 (86.59%)
|
||||
bbbb = 0.50338 +/- 0.2301 (45.71%)
|
||||
|
||||
|
||||
correlation matrix of the fit parameters:
|
||||
|
||||
aaaa bbbb
|
||||
aaaa 1.000
|
||||
bbbb -0.632 1.000
|
||||
@ -0,0 +1,304 @@
|
||||
|
||||
|
||||
Iteration 0
|
||||
WSSR : 9.03463 delta(WSSR)/WSSR : 0
|
||||
delta(WSSR) : 0 limit for stopping : 1e-05
|
||||
lambda : 0.800174
|
||||
|
||||
initial set of free parameter values
|
||||
|
||||
a = 1
|
||||
b = 1
|
||||
/
|
||||
|
||||
Iteration 1
|
||||
WSSR : 1.04136 delta(WSSR)/WSSR : -7.67579
|
||||
delta(WSSR) : -7.99327 limit for stopping : 1e-05
|
||||
lambda : 0.0800174
|
||||
|
||||
resultant parameter values
|
||||
|
||||
a = 0.00294917
|
||||
b = 0.398082
|
||||
/
|
||||
|
||||
Iteration 2
|
||||
WSSR : 0.760123 delta(WSSR)/WSSR : -0.36999
|
||||
delta(WSSR) : -0.281238 limit for stopping : 1e-05
|
||||
lambda : 0.00800174
|
||||
|
||||
resultant parameter values
|
||||
|
||||
a = -0.497122
|
||||
b = 0.501019
|
||||
/
|
||||
|
||||
Iteration 3
|
||||
WSSR : 0.760112 delta(WSSR)/WSSR : -1.53218e-05
|
||||
delta(WSSR) : -1.16463e-05 limit for stopping : 1e-05
|
||||
lambda : 0.000800174
|
||||
|
||||
resultant parameter values
|
||||
|
||||
a = -0.500504
|
||||
b = 0.50226
|
||||
/
|
||||
|
||||
Iteration 4
|
||||
WSSR : 0.760112 delta(WSSR)/WSSR : -7.81424e-14
|
||||
delta(WSSR) : -5.93969e-14 limit for stopping : 1e-05
|
||||
lambda : 8.00174e-05
|
||||
|
||||
resultant parameter values
|
||||
|
||||
a = -0.500504
|
||||
b = 0.50226
|
||||
|
||||
After 4 iterations the fit converged.
|
||||
final sum of squares of residuals : 0.760112
|
||||
rel. change during last iteration : -7.81424e-14
|
||||
|
||||
degrees of freedom (FIT_NDF) : 4
|
||||
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435922
|
||||
variance of residuals (reduced chisquare) = WSSR/ndf : 0.190028
|
||||
|
||||
Final set of parameters Asymptotic Standard Error
|
||||
======================= ==========================
|
||||
|
||||
a = -0.500504 +/- 0.4333 (86.58%)
|
||||
b = 0.50226 +/- 0.2295 (45.7%)
|
||||
|
||||
|
||||
correlation matrix of the fit parameters:
|
||||
|
||||
a b
|
||||
a 1.000
|
||||
b -0.632 1.000
|
||||
|
||||
|
||||
Iteration 0
|
||||
WSSR : 9.042 delta(WSSR)/WSSR : 0
|
||||
delta(WSSR) : 0 limit for stopping : 1e-05
|
||||
lambda : 0.80039
|
||||
|
||||
initial set of free parameter values
|
||||
|
||||
aa = 1
|
||||
bb = 1
|
||||
/
|
||||
|
||||
Iteration 1
|
||||
WSSR : 1.04131 delta(WSSR)/WSSR : -7.68331
|
||||
delta(WSSR) : -8.0007 limit for stopping : 1e-05
|
||||
lambda : 0.080039
|
||||
|
||||
resultant parameter values
|
||||
|
||||
aa = 0.00287365
|
||||
bb = 0.398135
|
||||
/
|
||||
|
||||
Iteration 2
|
||||
WSSR : 0.760548 delta(WSSR)/WSSR : -0.369155
|
||||
delta(WSSR) : -0.28076 limit for stopping : 1e-05
|
||||
lambda : 0.0080039
|
||||
|
||||
resultant parameter values
|
||||
|
||||
aa = -0.496029
|
||||
bb = 0.50082
|
||||
/
|
||||
|
||||
Iteration 3
|
||||
WSSR : 0.760537 delta(WSSR)/WSSR : -1.52182e-05
|
||||
delta(WSSR) : -1.1574e-05 limit for stopping : 1e-05
|
||||
lambda : 0.00080039
|
||||
|
||||
resultant parameter values
|
||||
|
||||
aa = -0.499395
|
||||
bb = 0.502057
|
||||
/
|
||||
|
||||
Iteration 4
|
||||
WSSR : 0.760537 delta(WSSR)/WSSR : -7.73688e-14
|
||||
delta(WSSR) : -5.88418e-14 limit for stopping : 1e-05
|
||||
lambda : 8.0039e-05
|
||||
|
||||
resultant parameter values
|
||||
|
||||
aa = -0.499395
|
||||
bb = 0.502057
|
||||
|
||||
After 4 iterations the fit converged.
|
||||
final sum of squares of residuals : 0.760537
|
||||
rel. change during last iteration : -7.73688e-14
|
||||
|
||||
degrees of freedom (FIT_NDF) : 4
|
||||
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.436044
|
||||
variance of residuals (reduced chisquare) = WSSR/ndf : 0.190134
|
||||
|
||||
Final set of parameters Asymptotic Standard Error
|
||||
======================= ==========================
|
||||
|
||||
aa = -0.499395 +/- 0.4329 (86.68%)
|
||||
bb = 0.502057 +/- 0.2296 (45.72%)
|
||||
|
||||
|
||||
correlation matrix of the fit parameters:
|
||||
|
||||
aa bb
|
||||
aa 1.000
|
||||
bb -0.631 1.000
|
||||
|
||||
|
||||
Iteration 0
|
||||
WSSR : 9.04152 delta(WSSR)/WSSR : 0
|
||||
delta(WSSR) : 0 limit for stopping : 1e-05
|
||||
lambda : 0.80039
|
||||
|
||||
initial set of free parameter values
|
||||
|
||||
aaa = 1
|
||||
bbb = 1
|
||||
/
|
||||
|
||||
Iteration 1
|
||||
WSSR : 1.04503 delta(WSSR)/WSSR : -7.65191
|
||||
delta(WSSR) : -7.99648 limit for stopping : 1e-05
|
||||
lambda : 0.080039
|
||||
|
||||
resultant parameter values
|
||||
|
||||
aaa = 0.00194603
|
||||
bbb = 0.399071
|
||||
/
|
||||
|
||||
Iteration 2
|
||||
WSSR : 0.763548 delta(WSSR)/WSSR : -0.36865
|
||||
delta(WSSR) : -0.281482 limit for stopping : 1e-05
|
||||
lambda : 0.0080039
|
||||
|
||||
resultant parameter values
|
||||
|
||||
aaa = -0.497734
|
||||
bbb = 0.502116
|
||||
/
|
||||
|
||||
Iteration 3
|
||||
WSSR : 0.763537 delta(WSSR)/WSSR : -1.52098e-05
|
||||
delta(WSSR) : -1.16133e-05 limit for stopping : 1e-05
|
||||
lambda : 0.00080039
|
||||
|
||||
resultant parameter values
|
||||
|
||||
aaa = -0.501106
|
||||
bbb = 0.503355
|
||||
/
|
||||
|
||||
Iteration 4
|
||||
WSSR : 0.763537 delta(WSSR)/WSSR : -7.73556e-14
|
||||
delta(WSSR) : -5.90639e-14 limit for stopping : 1e-05
|
||||
lambda : 8.0039e-05
|
||||
|
||||
resultant parameter values
|
||||
|
||||
aaa = -0.501106
|
||||
bbb = 0.503355
|
||||
|
||||
After 4 iterations the fit converged.
|
||||
final sum of squares of residuals : 0.763537
|
||||
rel. change during last iteration : -7.73556e-14
|
||||
|
||||
degrees of freedom (FIT_NDF) : 4
|
||||
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.436903
|
||||
variance of residuals (reduced chisquare) = WSSR/ndf : 0.190884
|
||||
|
||||
Final set of parameters Asymptotic Standard Error
|
||||
======================= ==========================
|
||||
|
||||
aaa = -0.501106 +/- 0.4337 (86.55%)
|
||||
bbb = 0.503355 +/- 0.23 (45.7%)
|
||||
|
||||
|
||||
correlation matrix of the fit parameters:
|
||||
|
||||
aaa bbb
|
||||
aaa 1.000
|
||||
bbb -0.631 1.000
|
||||
|
||||
|
||||
Iteration 0
|
||||
WSSR : 9.04263 delta(WSSR)/WSSR : 0
|
||||
delta(WSSR) : 0 limit for stopping : 1e-05
|
||||
lambda : 0.800411
|
||||
|
||||
initial set of free parameter values
|
||||
|
||||
aaaa = 1
|
||||
bbbb = 1
|
||||
/
|
||||
|
||||
Iteration 1
|
||||
WSSR : 1.04513 delta(WSSR)/WSSR : -7.65212
|
||||
delta(WSSR) : -7.99749 limit for stopping : 1e-05
|
||||
lambda : 0.0800411
|
||||
|
||||
resultant parameter values
|
||||
|
||||
aaaa = 0.00204362
|
||||
bbbb = 0.399044
|
||||
/
|
||||
|
||||
Iteration 2
|
||||
WSSR : 0.763709 delta(WSSR)/WSSR : -0.368499
|
||||
delta(WSSR) : -0.281426 limit for stopping : 1e-05
|
||||
lambda : 0.00800411
|
||||
|
||||
resultant parameter values
|
||||
|
||||
aaaa = -0.497607
|
||||
bbbb = 0.50214
|
||||
/
|
||||
|
||||
Iteration 3
|
||||
WSSR : 0.763697 delta(WSSR)/WSSR : -1.52103e-05
|
||||
delta(WSSR) : -1.16161e-05 limit for stopping : 1e-05
|
||||
lambda : 0.000800411
|
||||
|
||||
resultant parameter values
|
||||
|
||||
aaaa = -0.50098
|
||||
bbbb = 0.50338
|
||||
/
|
||||
|
||||
Iteration 4
|
||||
WSSR : 0.763697 delta(WSSR)/WSSR : -7.7194e-14
|
||||
delta(WSSR) : -5.89528e-14 limit for stopping : 1e-05
|
||||
lambda : 8.00411e-05
|
||||
|
||||
resultant parameter values
|
||||
|
||||
aaaa = -0.50098
|
||||
bbbb = 0.50338
|
||||
|
||||
After 4 iterations the fit converged.
|
||||
final sum of squares of residuals : 0.763697
|
||||
rel. change during last iteration : -7.7194e-14
|
||||
|
||||
degrees of freedom (FIT_NDF) : 4
|
||||
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.436949
|
||||
variance of residuals (reduced chisquare) = WSSR/ndf : 0.190924
|
||||
|
||||
Final set of parameters Asymptotic Standard Error
|
||||
======================= ==========================
|
||||
|
||||
aaaa = -0.50098 +/- 0.4338 (86.59%)
|
||||
bbbb = 0.50338 +/- 0.2301 (45.71%)
|
||||
|
||||
|
||||
correlation matrix of the fit parameters:
|
||||
|
||||
aaaa bbbb
|
||||
aaaa 1.000
|
||||
bbbb -0.632 1.000
|
||||
@ -0,0 +1,26 @@
|
||||
set datafile separator ","
|
||||
f(x)=a*x+b
|
||||
fit f(x) "20171025-evolution3D_10x10x10_noFit.csv" every ::1 using 1:5 via a,b
|
||||
set terminal png
|
||||
set xlabel 'regularity'
|
||||
set ylabel 'steps'
|
||||
set output "20171025-evolution3D_10x10x10_noFit_regularity-vs-steps.png"
|
||||
plot "20171025-evolution3D_10x10x10_noFit.csv" every ::1 using 1:5 title "data", f(x) title "lin. fit" lc rgb "black"
|
||||
g(x)=aa*x+bb
|
||||
fit g(x) "20171025-evolution3D_10x10x10_noFit.csv" every ::1 using 3:5 via aa,bb
|
||||
set xlabel 'improvement potential'
|
||||
set ylabel 'steps'
|
||||
set output "20171025-evolution3D_10x10x10_noFit_improvement-vs-steps.png"
|
||||
plot "20171025-evolution3D_10x10x10_noFit.csv" every ::1 using 3:5 title "data", g(x) title "lin. fit" lc rgb "black"
|
||||
h(x)=aaa*x+bbb
|
||||
fit h(x) "20171025-evolution3D_10x10x10_noFit.csv" every ::1 using 3:4 via aaa,bbb
|
||||
set xlabel 'improvement potential'
|
||||
set ylabel 'evolution error'
|
||||
set output "20171025-evolution3D_10x10x10_noFit_improvement-vs-evo-error.png"
|
||||
plot "20171025-evolution3D_10x10x10_noFit.csv" every ::1 using 3:4 title "data", h(x) title "lin. fit" lc rgb "black"
|
||||
i(x)=aaaa*x+bbbb
|
||||
fit i(x) "20171025-evolution3D_10x10x10_noFit.csv" every ::1 using 2:4 via aaaa,bbbb
|
||||
set xlabel 'variability'
|
||||
set ylabel 'evolution error'
|
||||
set output "20171025-evolution3D_10x10x10_noFit_variability-vs-evo-error.png"
|
||||
plot "20171025-evolution3D_10x10x10_noFit.csv" every ::1 using 2:4 title "data", i(x) title "lin. fit" lc rgb "black"
|
||||
@ -0,0 +1,180 @@
|
||||
info: using info log level
|
||||
info: Free_form_deformation_plugin loaded.
|
||||
info: Modelling_plugin loaded.
|
||||
info: Point_set_io_plugin loaded.
|
||||
info: Scene_graph_plugin loaded.
|
||||
info: Selection_plugin loaded.
|
||||
info: Surface_mesh_io_plugin loaded.
|
||||
GL error at "after Initialize": invalid enum
|
||||
|
||||
info: GLEW errorcode: 0
|
||||
info: GLEW 1.13.0
|
||||
info: OpenGL 3.3.0 NVIDIA 384.90 (Core Profile)
|
||||
info: GLSL 3.30 NVIDIA via Cg compiler
|
||||
info: GeForce GTX 1080/PCIe/SSE2
|
||||
info: OpenCL 1.2 CUDA 9.0.194
|
||||
info: 10807 Vertices, 21610 Faces.
|
||||
info: Loaded /home/sdressel/git/graphene/offs/source_ball_10807v_good_normed.off.
|
||||
info: 12024 Vertices, 23997 Faces.
|
||||
info: Loaded /home/sdressel/git/graphene/offs/target_mario_12024v_rem_normed.off.
|
||||
info: setting source
|
||||
info: setting target
|
||||
info: initialising Grid
|
||||
info: bbmin: -1.01856 -1.01771 -1.01575
|
||||
info: bbmax: 1.02125 1.02206 1.02408
|
||||
info: bbsize: 2.03981 2.03977 2.03983
|
||||
info: setting up10807Points
|
||||
info: worst iteration-count:3
|
||||
info: generating Cache
|
||||
info: cache size: 10807*1000=10807000
|
||||
info: done.
|
||||
info: perturbating...
|
||||
info: initialising Grid
|
||||
info: bbmin: -1.07522 -1.07437 -1.07241
|
||||
info: bbmax: 1.09379 1.09753 1.09917
|
||||
info: bbsize: 2.16901 2.17189 2.17158
|
||||
info: setting up10807Points
|
||||
info: worst iteration-count:4
|
||||
info: generating Cache
|
||||
info: cache size: 10807*1000=10807000
|
||||
info: done.
|
||||
info: entering fit..
|
||||
info: EVOL: Evolvability-criteria:
|
||||
info: EVOL: regularity: 0
|
||||
info: EVOL: variability: 0.090682
|
||||
info: EVOL: improvement: 0.913618
|
||||
info: perturbating...
|
||||
info: initialising Grid
|
||||
info: bbmin: -1.07522 -1.07437 -1.07241
|
||||
info: bbmax: 1.09449 1.09677 1.09756
|
||||
info: bbsize: 2.16971 2.17114 2.16997
|
||||
info: setting up10807Points
|
||||
info: worst iteration-count:4
|
||||
info: generating Cache
|
||||
info: cache size: 10807*1000=10807000
|
||||
info: done.
|
||||
info: entering fit..
|
||||
info: EVOL: Evolvability-criteria:
|
||||
info: EVOL: regularity: 0
|
||||
info: EVOL: variability: 0.0907745
|
||||
info: EVOL: improvement: 0.913428
|
||||
info: perturbating...
|
||||
info: initialising Grid
|
||||
info: bbmin: -1.07522 -1.07437 -1.07241
|
||||
info: bbmax: 1.09456 1.09481 1.09742
|
||||
info: bbsize: 2.16978 2.16918 2.16983
|
||||
info: setting up10807Points
|
||||
info: worst iteration-count:4
|
||||
info: generating Cache
|
||||
info: cache size: 10807*1000=10807000
|
||||
info: done.
|
||||
info: entering fit..
|
||||
info: EVOL: Evolvability-criteria:
|
||||
info: EVOL: regularity: 0
|
||||
info: EVOL: variability: 0.0905894
|
||||
info: EVOL: improvement: 0.916839
|
||||
info: perturbating...
|
||||
info: initialising Grid
|
||||
info: bbmin: -1.07522 -1.07437 -1.07241
|
||||
info: bbmax: 1.0952 1.0937 1.09694
|
||||
info: bbsize: 2.17042 2.16806 2.16935
|
||||
info: setting up10807Points
|
||||
info: worst iteration-count:4
|
||||
info: generating Cache
|
||||
info: cache size: 10807*1000=10807000
|
||||
info: done.
|
||||
info: entering fit..
|
||||
info: EVOL: Evolvability-criteria:
|
||||
info: EVOL: regularity: 0
|
||||
info: EVOL: variability: 0.090682
|
||||
info: EVOL: improvement: 0.915586
|
||||
info: perturbating...
|
||||
info: initialising Grid
|
||||
info: bbmin: -1.07522 -1.07437 -1.07241
|
||||
info: bbmax: 1.09532 1.0969 1.09633
|
||||
info: bbsize: 2.17054 2.17127 2.16874
|
||||
info: setting up10807Points
|
||||
info: worst iteration-count:4
|
||||
info: generating Cache
|
||||
info: cache size: 10807*1000=10807000
|
||||
info: done.
|
||||
info: entering fit..
|
||||
info: EVOL: Evolvability-criteria:
|
||||
info: EVOL: regularity: 0
|
||||
info: EVOL: variability: 0.0907745
|
||||
info: EVOL: improvement: 0.915006
|
||||
info: perturbating...
|
||||
info: initialising Grid
|
||||
info: bbmin: -1.07522 -1.07437 -1.07241
|
||||
info: bbmax: 1.09164 1.09026 1.09787
|
||||
info: bbsize: 2.16686 2.16463 2.17029
|
||||
info: setting up10807Points
|
||||
info: worst iteration-count:4
|
||||
info: generating Cache
|
||||
info: cache size: 10807*1000=10807000
|
||||
info: done.
|
||||
info: entering fit..
|
||||
info: EVOL: Evolvability-criteria:
|
||||
info: EVOL: regularity: 0
|
||||
info: EVOL: variability: 0.090867
|
||||
info: EVOL: improvement: 0.91456
|
||||
info: perturbating...
|
||||
info: initialising Grid
|
||||
info: bbmin: -1.07522 -1.07437 -1.07241
|
||||
info: bbmax: 1.09473 1.09554 1.09647
|
||||
info: bbsize: 2.16995 2.16991 2.16888
|
||||
info: setting up10807Points
|
||||
info: worst iteration-count:4
|
||||
info: generating Cache
|
||||
info: cache size: 10807*1000=10807000
|
||||
info: done.
|
||||
info: entering fit..
|
||||
info: EVOL: Evolvability-criteria:
|
||||
info: EVOL: regularity: 0
|
||||
info: EVOL: variability: 0.0907745
|
||||
info: EVOL: improvement: 0.912454
|
||||
info: perturbating...
|
||||
info: initialising Grid
|
||||
info: bbmin: -1.07522 -1.07437 -1.07241
|
||||
info: bbmax: 1.09276 1.09735 1.09676
|
||||
info: bbsize: 2.16799 2.17172 2.16917
|
||||
info: setting up10807Points
|
||||
info: worst iteration-count:4
|
||||
info: generating Cache
|
||||
info: cache size: 10807*1000=10807000
|
||||
info: done.
|
||||
info: entering fit..
|
||||
info: EVOL: Evolvability-criteria:
|
||||
info: EVOL: regularity: 0
|
||||
info: EVOL: variability: 0.0903118
|
||||
info: EVOL: improvement: 0.914794
|
||||
info: perturbating...
|
||||
info: initialising Grid
|
||||
info: bbmin: -1.07522 -1.07437 -1.07241
|
||||
info: bbmax: 1.09644 1.09619 1.09812
|
||||
info: bbsize: 2.17166 2.17056 2.17053
|
||||
info: setting up10807Points
|
||||
info: worst iteration-count:4
|
||||
info: generating Cache
|
||||
info: cache size: 10807*1000=10807000
|
||||
info: done.
|
||||
info: entering fit..
|
||||
info: EVOL: Evolvability-criteria:
|
||||
info: EVOL: regularity: 0
|
||||
info: EVOL: variability: 0.0904969
|
||||
info: EVOL: improvement: 0.912754
|
||||
info: perturbating...
|
||||
info: initialising Grid
|
||||
info: bbmin: -1.07522 -1.07437 -1.07241
|
||||
info: bbmax: 1.09505 1.09665 1.09904
|
||||
info: bbsize: 2.17027 2.17102 2.17146
|
||||
info: setting up10807Points
|
||||
info: worst iteration-count:4
|
||||
info: generating Cache
|
||||
info: cache size: 10807*1000=10807000
|
||||
info: done.
|
||||
info: entering fit..
|
||||
info: EVOL: Evolvability-criteria:
|
||||
info: EVOL: regularity: 0
|
||||
info: EVOL: variability: 0.0909596
|
||||
info: EVOL: improvement: 0.912461
|
||||
@ -0,0 +1,11 @@
|
||||
variability
|
||||
0.090682
|
||||
0.0907745
|
||||
0.0905894
|
||||
0.090682
|
||||
0.0907745
|
||||
0.090867
|
||||
0.0907745
|
||||
0.0903118
|
||||
0.0904969
|
||||
0.0909596
|
||||
@ -0,0 +1,101 @@
|
||||
regularity,variability,improvement
|
||||
0,0.0905894,0.91227
|
||||
0,0.0907745,0.913342
|
||||
0,0.0907745,0.912502
|
||||
0,0.090682,0.916278
|
||||
0,0.090867,0.918006
|
||||
0,0.0909596,0.915859
|
||||
0,0.090682,0.916069
|
||||
0,0.090867,0.912805
|
||||
0,0.090867,0.913475
|
||||
0,0.0904969,0.915285
|
||||
0,0.0909596,0.915132
|
||||
0,0.0907745,0.915095
|
||||
0,0.0910521,0.91484
|
||||
0,0.090867,0.91747
|
||||
0,0.090682,0.914088
|
||||
0,0.0909596,0.9145
|
||||
0,0.0907745,0.912487
|
||||
0,0.0905894,0.913198
|
||||
0,0.0909596,0.912168
|
||||
0,0.0910521,0.91543
|
||||
0,0.090867,0.911409
|
||||
0,0.0909596,0.914529
|
||||
0,0.0910521,0.915134
|
||||
0,0.090682,0.916253
|
||||
0,0.0909596,0.912157
|
||||
0,0.090682,0.915866
|
||||
0,0.0907745,0.914764
|
||||
0,0.0907745,0.915497
|
||||
0,0.0904044,0.912985
|
||||
0,0.090867,0.913583
|
||||
0,0.0907745,0.91513
|
||||
0,0.0909596,0.914659
|
||||
0,0.0907745,0.915716
|
||||
0,0.0904969,0.914712
|
||||
0,0.0907745,0.915312
|
||||
0,0.090867,0.914013
|
||||
0,0.090867,0.909808
|
||||
0,0.0907745,0.914233
|
||||
0,0.0910521,0.915978
|
||||
0,0.090867,0.912972
|
||||
0,0.090867,0.913667
|
||||
0,0.090867,0.916343
|
||||
0,0.0907745,0.913652
|
||||
0,0.0909596,0.915991
|
||||
0,0.090682,0.916097
|
||||
0,0.0907745,0.911669
|
||||
0,0.090682,0.914683
|
||||
0,0.0909596,0.913556
|
||||
0,0.0907745,0.915079
|
||||
0,0.090867,0.911162
|
||||
0,0.0909596,0.914992
|
||||
0,0.090867,0.915799
|
||||
0,0.090867,0.914921
|
||||
0,0.090867,0.915452
|
||||
0,0.0905894,0.915182
|
||||
0,0.090867,0.915656
|
||||
0,0.090867,0.914318
|
||||
0,0.0907745,0.916663
|
||||
0,0.0909596,0.915529
|
||||
0,0.0910521,0.915303
|
||||
0,0.0909596,0.914323
|
||||
0,0.0907745,0.913962
|
||||
0,0.0910521,0.914198
|
||||
0,0.0910521,0.911039
|
||||
0,0.0910521,0.913378
|
||||
0,0.0907745,0.918202
|
||||
0,0.090867,0.91288
|
||||
0,0.090682,0.916036
|
||||
0,0.0907745,0.912603
|
||||
0,0.0910521,0.913196
|
||||
0,0.0907745,0.915577
|
||||
0,0.090682,0.914768
|
||||
0,0.0907745,0.914163
|
||||
0,0.0910521,0.915439
|
||||
0,0.090867,0.914254
|
||||
0,0.0909596,0.914172
|
||||
0,0.0909596,0.915279
|
||||
0,0.090867,0.912327
|
||||
0,0.090867,0.913719
|
||||
0,0.0905894,0.915685
|
||||
0,0.0909596,0.915602
|
||||
0,0.090867,0.914587
|
||||
0,0.0910521,0.912118
|
||||
0,0.090867,0.91491
|
||||
0,0.0907745,0.913637
|
||||
0,0.090867,0.915142
|
||||
0,0.0907745,0.915787
|
||||
0,0.0910521,0.913777
|
||||
0,0.0910521,0.913735
|
||||
0,0.090867,0.913709
|
||||
0,0.0907745,0.91209
|
||||
0,0.090867,0.915959
|
||||
0,0.0910521,0.911411
|
||||
0,0.090867,0.914564
|
||||
0,0.090682,0.915549
|
||||
0,0.090682,0.914751
|
||||
0,0.090867,0.915115
|
||||
0,0.0907745,0.916087
|
||||
0,0.0907745,0.91401
|
||||
0,0.0909596,0.913288
|
||||
|
File diff suppressed because it is too large
Load Diff
@ -0,0 +1,2 @@
|
||||
[1] "================ Analyzing 20171025-evolution3D_10x10x10_noFit_100Times.csv"
|
||||
[1] "Mean:"
|
||||
@ -0,0 +1,101 @@
|
||||
variability
|
||||
0.0905894
|
||||
0.0907745
|
||||
0.0907745
|
||||
0.090682
|
||||
0.090867
|
||||
0.0909596
|
||||
0.090682
|
||||
0.090867
|
||||
0.090867
|
||||
0.0904969
|
||||
0.0909596
|
||||
0.0907745
|
||||
0.0910521
|
||||
0.090867
|
||||
0.090682
|
||||
0.0909596
|
||||
0.0907745
|
||||
0.0905894
|
||||
0.0909596
|
||||
0.0910521
|
||||
0.090867
|
||||
0.0909596
|
||||
0.0910521
|
||||
0.090682
|
||||
0.0909596
|
||||
0.090682
|
||||
0.0907745
|
||||
0.0907745
|
||||
0.0904044
|
||||
0.090867
|
||||
0.0907745
|
||||
0.0909596
|
||||
0.0907745
|
||||
0.0904969
|
||||
0.0907745
|
||||
0.090867
|
||||
0.090867
|
||||
0.0907745
|
||||
0.0910521
|
||||
0.090867
|
||||
0.090867
|
||||
0.090867
|
||||
0.0907745
|
||||
0.0909596
|
||||
0.090682
|
||||
0.0907745
|
||||
0.090682
|
||||
0.0909596
|
||||
0.0907745
|
||||
0.090867
|
||||
0.0909596
|
||||
0.090867
|
||||
0.090867
|
||||
0.090867
|
||||
0.0905894
|
||||
0.090867
|
||||
0.090867
|
||||
0.0907745
|
||||
0.0909596
|
||||
0.0910521
|
||||
0.0909596
|
||||
0.0907745
|
||||
0.0910521
|
||||
0.0910521
|
||||
0.0910521
|
||||
0.0907745
|
||||
0.090867
|
||||
0.090682
|
||||
0.0907745
|
||||
0.0910521
|
||||
0.0907745
|
||||
0.090682
|
||||
0.0907745
|
||||
0.0910521
|
||||
0.090867
|
||||
0.0909596
|
||||
0.0909596
|
||||
0.090867
|
||||
0.090867
|
||||
0.0905894
|
||||
0.0909596
|
||||
0.090867
|
||||
0.0910521
|
||||
0.090867
|
||||
0.0907745
|
||||
0.090867
|
||||
0.0907745
|
||||
0.0910521
|
||||
0.0910521
|
||||
0.090867
|
||||
0.0907745
|
||||
0.090867
|
||||
0.0910521
|
||||
0.090867
|
||||
0.090682
|
||||
0.090682
|
||||
0.090867
|
||||
0.0907745
|
||||
0.0907745
|
||||
0.0909596
|
||||
Binary file not shown.
|
After Width: | Height: | Size: 4.8 KiB |
Binary file not shown.
|
After Width: | Height: | Size: 4.6 KiB |
Binary file not shown.
|
After Width: | Height: | Size: 4.5 KiB |
Binary file not shown.
|
After Width: | Height: | Size: 4.6 KiB |
@ -1,301 +1,301 @@
|
||||
regularity,variability,improvement,"Evolution error",steps
|
||||
6.57581e-05,0.00592209,0.622392,113.016.,2368
|
||||
5.16451e-05,0.00592209,0.610293,118.796.,2433
|
||||
6.45083e-05,0.00592209,0.592139,127.157.,1655
|
||||
7.14801e-05,0.00592209,0.624039,121.613.,1933
|
||||
5.62707e-05,0.00592209,0.611091,119.539.,2618
|
||||
5.55953e-05,0.00592209,0.625812,119.512.,2505
|
||||
5.96026e-05,0.00592209,0.622873,118.285.,1582
|
||||
6.63676e-05,0.00592209,0.602386,126.579.,2214
|
||||
5.93125e-05,0.00592209,0.608913,122.512.,2262
|
||||
6.05066e-05,0.00592209,0.621467,118.473.,2465
|
||||
6.42976e-05,0.00592209,0.602593,121.998.,2127
|
||||
5.32868e-05,0.00592209,0.616501,115.313.,2746
|
||||
5.47856e-05,0.00592209,0.615173,118.034.,2148
|
||||
6.47209e-05,0.00592209,0.603935,120.003.,2304
|
||||
7.07812e-05,0.00592209,0.620422,123.494.,1941
|
||||
6.49313e-05,0.00592209,0.616232,122.989.,2214
|
||||
6.64295e-05,0.00592209,0.605206,123.757.,1675
|
||||
5.88806e-05,0.00592209,0.628055,110.67.,2230
|
||||
7.56461e-05,0.00592209,0.625361,121.232.,2187
|
||||
4.932e-05,0.00592209,0.612261,120.979.,2280
|
||||
5.45998e-05,0.00592209,0.61935,115.394.,2380
|
||||
6.10654e-05,0.00592209,0.614029,116.928.,2327
|
||||
6.09488e-05,0.00592209,0.611892,125.294.,1609
|
||||
5.85691e-05,0.00592209,0.632686,111.635.,2831
|
||||
6.87292e-05,0.00592209,0.61519,114.681.,2565
|
||||
6.53377e-05,0.00592209,0.627408,111.935.,2596
|
||||
6.98345e-05,0.00592209,0.616158,111.392.,2417
|
||||
7.90547e-05,0.00592209,0.620575,115.346.,2031
|
||||
6.50231e-05,0.00592209,0.625725,119.055.,1842
|
||||
6.76541e-05,0.00592209,0.625399,117.452.,1452
|
||||
5.72222e-05,0.00592209,0.614171,123.379.,2186
|
||||
7.42483e-05,0.00592209,0.624683,115.053.,2236
|
||||
6.9354e-05,0.00592209,0.619596,123.994.,1688
|
||||
5.75478e-05,0.00592209,0.605051,118.576.,1930
|
||||
6.01309e-05,0.00592209,0.617511,116.894.,2184
|
||||
6.69251e-05,0.00592209,0.608408,120.129.,2007
|
||||
4.66926e-05,0.00592209,0.60606,126.708.,1552
|
||||
4.90102e-05,0.00592209,0.618673,114.595.,2783
|
||||
5.51505e-05,0.00592209,0.619245,120.056.,2463
|
||||
6.1007e-05,0.00592209,0.605215,122.057.,1493
|
||||
5.04717e-05,0.00592209,0.623503,116.846.,2620
|
||||
6.3578e-05,0.00592209,0.625261,124.35.,2193
|
||||
5.8875e-05,0.00592209,0.624526,118.43.,2502
|
||||
7.95299e-05,0.00592209,0.611719,116.574.,1849
|
||||
6.42733e-05,0.00592209,0.608178,128.474.,2078
|
||||
6.41674e-05,0.00592209,0.624042,111.111.,2037
|
||||
4.88661e-05,0.00592209,0.615408,120.004.,2627
|
||||
7.27714e-05,0.00592209,0.626926,119.866.,2128
|
||||
4.84641e-05,0.00592209,0.608054,119.676.,2408
|
||||
6.66562e-05,0.00592209,0.603902,128.957.,1668
|
||||
5.99872e-05,0.00592209,0.63676,108.467.,3448
|
||||
7.73127e-05,0.00592209,0.62232,123.353.,1551
|
||||
6.67597e-05,0.00592209,0.621411,123.301.,2180
|
||||
5.2819e-05,0.00592209,0.617515,114.838.,4096
|
||||
5.29257e-05,0.00592209,0.622611,118.611.,1973
|
||||
5.35212e-05,0.00592209,0.62533,109.616.,3424
|
||||
7.1947e-05,0.00592209,0.632331,113.565.,2905
|
||||
5.04311e-05,0.00592209,0.611559,120.01.,2147
|
||||
6.57161e-05,0.00592209,0.617789,125.441.,1820
|
||||
5.18695e-05,0.00592209,0.610402,122.541.,2430
|
||||
6.47262e-05,0.00592209,0.609141,123.169.,1989
|
||||
5.87925e-05,0.00592209,0.61627,117.344.,2143
|
||||
4.36904e-05,0.00592209,0.631954,112.674.,3526
|
||||
6.45195e-05,0.00592209,0.614402,118.787.,1765
|
||||
5.8354e-05,0.00592209,0.615515,112.061.,2368
|
||||
7.14669e-05,0.00592209,0.628382,110.262.,1923
|
||||
7.24908e-05,0.00592209,0.610848,116.504.,1830
|
||||
5.98617e-05,0.00592209,0.622949,109.607.,3609
|
||||
5.90411e-05,0.00592209,0.629175,122.198.,1859
|
||||
5.25569e-05,0.00592209,0.621253,124.527.,1876
|
||||
5.86979e-05,0.00592209,0.612603,120.886.,2916
|
||||
4.73113e-05,0.00592209,0.610586,119.176.,2072
|
||||
5.8777e-05,0.00592209,0.62863,121.081.,2338
|
||||
5.6608e-05,0.00592209,0.617215,121.038.,3021
|
||||
5.74614e-05,0.00592209,0.626088,112.392.,2182
|
||||
6.86466e-05,0.00592209,0.631893,121.148.,2246
|
||||
4.77969e-05,0.00592209,0.635218,117.053.,2939
|
||||
5.50553e-05,0.00592209,0.610707,123.651.,1417
|
||||
6.89628e-05,0.00592209,0.638474,128.446.,1840
|
||||
6.85622e-05,0.00592209,0.620769,115.527.,2116
|
||||
5.28017e-05,0.00592209,0.614948,121.456.,2178
|
||||
7.06916e-05,0.00592209,0.61804,127.418.,2354
|
||||
6.81788e-05,0.00592209,0.616056,113.541.,2768
|
||||
7.89711e-05,0.00592209,0.615108,116.805.,2293
|
||||
5.84297e-05,0.00592209,0.612733,123.244.,2206
|
||||
5.53374e-05,0.00592209,0.605062,123.095.,1902
|
||||
5.51739e-05,0.00592209,0.631543,115.9.,3145
|
||||
6.9413e-05,0.00592209,0.59103,124.024.,1475
|
||||
5.08739e-05,0.00592209,0.621454,114.685.,3356
|
||||
5.95256e-05,0.00592209,0.626188,113.428.,2336
|
||||
5.63659e-05,0.00592209,0.618554,117.456.,2105
|
||||
6.32019e-05,0.00592209,0.616926,122.15.,1799
|
||||
6.05333e-05,0.00592209,0.613481,124.576.,1873
|
||||
5.35997e-05,0.00592209,0.621122,113.63.,2834
|
||||
5.94187e-05,0.00592209,0.606925,126.608.,1970
|
||||
6.52182e-05,0.00592209,0.610882,129.916.,1246
|
||||
6.78626e-05,0.00592209,0.608581,119.673.,2155
|
||||
5.12495e-05,0.00592209,0.6262,116.233.,3037
|
||||
6.7083e-05,0.00592209,0.608299,125.086.,1595
|
||||
6.74099e-05,0.00592209,0.620429,112.897.,2800
|
||||
0.000136559,0.00740261,0.64595,104.911.,1607
|
||||
0.000119061,0.00740261,0.648063,102.122.,2160
|
||||
0.00014586,0.00740261,0.662359,100.463.,1781
|
||||
0.000143911,0.00740261,0.647409,111.329.,1435
|
||||
0.000100089,0.00740261,0.660347,104.712.,1394
|
||||
0.00019449,0.00740261,0.643112,100.048.,1764
|
||||
0.000139001,0.00740261,0.636985,102.05.,1923
|
||||
9.23895e-05,0.00740261,0.651932,98.3549.,2200
|
||||
0.000151896,0.00740261,0.654589,93.4038.,2609
|
||||
9.96526e-05,0.00740261,0.663458,104.028.,1515
|
||||
0.000140183,0.00740261,0.655494,102.965.,1602
|
||||
0.000146938,0.00740261,0.656983,102.822.,1591
|
||||
0.000127648,0.00740261,0.644146,97.9662.,2250
|
||||
0.000133108,0.00740261,0.653198,100.341.,2206
|
||||
0.000136798,0.00740261,0.639845,109.73.,1540
|
||||
0.000101394,0.00740261,0.6633,99.6362.,2820
|
||||
0.000125845,0.00740261,0.647015,113.29.,1861
|
||||
0.000104427,0.00740261,0.647875,112.572.,1198
|
||||
0.000140362,0.00740261,0.669356,86.3175.,2124
|
||||
0.000114307,0.00740261,0.669332,91.637.,2806
|
||||
9.09613e-05,0.00740261,0.653191,107.27.,1502
|
||||
0.000130204,0.00740261,0.651758,110.797.,1133
|
||||
0.00014725,0.00740261,0.649409,99.0484.,1656
|
||||
0.000110507,0.00740261,0.651763,94.2222.,2395
|
||||
0.000153747,0.00740261,0.653734,104.417.,2041
|
||||
0.000108131,0.00740261,0.648279,96.4144.,2267
|
||||
0.000126425,0.00740261,0.658424,108.23.,1793
|
||||
0.00011876,0.00740261,0.658874,98.5045.,1906
|
||||
7.79227e-05,0.00740261,0.664063,93.4554.,2181
|
||||
0.000124995,0.00740261,0.649892,110.564.,1778
|
||||
0.000135721,0.00740261,0.665436,104.082.,1365
|
||||
0.000108043,0.00740261,0.665742,95.1024.,2120
|
||||
0.00013341,0.00740261,0.654181,100.132.,2496
|
||||
0.000107614,0.00740261,0.659173,102.451.,2798
|
||||
0.000126198,0.00740261,0.643969,116.302.,1655
|
||||
0.000110899,0.00740261,0.660032,98.5173.,2555
|
||||
0.000158971,0.00740261,0.641391,104.428.,1847
|
||||
0.000156538,0.00740261,0.647057,104.909.,2023
|
||||
0.000124514,0.00740261,0.649594,106.289.,1776
|
||||
0.000141513,0.00740261,0.650988,106.708.,1510
|
||||
0.000138867,0.00740261,0.653552,108.022.,1558
|
||||
9.31002e-05,0.00740261,0.648143,97.8253.,2547
|
||||
0.00011634,0.00740261,0.659954,114.829.,1103
|
||||
0.000104627,0.00740261,0.658879,115.054.,1440
|
||||
0.000136417,0.00740261,0.6429,106.6.,1345
|
||||
0.00012931,0.00740261,0.63474,105.157.,1201
|
||||
0.000107738,0.00740261,0.671551,93.2856.,2956
|
||||
0.000114915,0.00740261,0.654224,98.8994.,1428
|
||||
0.000104432,0.00740261,0.642969,117.524.,1103
|
||||
0.00013635,0.00740261,0.671219,97.0705.,2329
|
||||
0.00014468,0.00740261,0.64633,95.9897.,1552
|
||||
0.000131339,0.00740261,0.65456,104.384.,2112
|
||||
0.000137424,0.00740261,0.641967,104.01.,1864
|
||||
0.000119603,0.00740261,0.643056,104.585.,1573
|
||||
0.000152567,0.00740261,0.66439,98.8101.,1297
|
||||
9.48346e-05,0.00740261,0.657038,104.262.,2105
|
||||
0.000134127,0.00740261,0.65476,95.1758.,2638
|
||||
0.000115945,0.00740261,0.655308,109.61.,1354
|
||||
8.95548e-05,0.00740261,0.642705,96.3427.,2743
|
||||
0.000177255,0.00740261,0.658675,106.331.,1506
|
||||
9.39073e-05,0.00740261,0.655253,103.753.,1723
|
||||
0.000118136,0.00740261,0.646319,106.698.,1690
|
||||
0.000143213,0.00740261,0.662647,97.9397.,1209
|
||||
0.000124885,0.00740261,0.65789,106.656.,1534
|
||||
0.000122815,0.00740261,0.673803,102.299.,1433
|
||||
0.00011158,0.00740261,0.652635,104.71.,1827
|
||||
0.000143072,0.00740261,0.651031,99.6516.,1526
|
||||
0.000121757,0.00740261,0.681384,85.3402.,4935
|
||||
9.94695e-05,0.00740261,0.651079,103.875.,2087
|
||||
0.000161101,0.00740261,0.654378,99.7871.,1947
|
||||
0.000122246,0.00740261,0.65679,99.823.,2190
|
||||
0.000147347,0.00740261,0.6422,110.554.,1301
|
||||
0.000112197,0.00740261,0.654611,114.952.,998
|
||||
0.00011529,0.00740261,0.643761,99.7046.,1245
|
||||
0.000161519,0.00740261,0.653702,96.1227.,2219
|
||||
0.000137877,0.00740261,0.646996,94.9822.,3061
|
||||
0.000113204,0.00740261,0.629358,109.207.,1124
|
||||
0.000160504,0.00740261,0.643509,106.855.,1157
|
||||
0.000115618,0.00740261,0.667462,110.589.,1601
|
||||
0.000155458,0.00740261,0.663885,96.4926.,1549
|
||||
0.00012474,0.00740261,0.64672,104.201.,1704
|
||||
0.000147478,0.00740261,0.656898,95.364.,2012
|
||||
0.000134001,0.00740261,0.648474,95.9782.,1790
|
||||
0.00013438,0.00740261,0.648077,109.152.,1449
|
||||
0.000140607,0.00740261,0.640552,99.7984.,1505
|
||||
0.000107889,0.00740261,0.663999,106.249.,1998
|
||||
0.000149274,0.00740261,0.662709,91.3925.,1790
|
||||
0.000121329,0.00740261,0.647837,102.095.,2291
|
||||
0.000104416,0.00740261,0.663697,108.615.,1725
|
||||
0.000103746,0.00740261,0.656774,100.235.,2358
|
||||
9.74274e-05,0.00740261,0.655777,102.616.,2110
|
||||
9.50543e-05,0.00740261,0.639904,114.163.,1233
|
||||
0.000151294,0.00740261,0.645149,107.106.,1845
|
||||
0.000134623,0.00740261,0.657907,94.8621.,1577
|
||||
8.51088e-05,0.00740261,0.66594,91.0518.,2146
|
||||
0.000131458,0.00740261,0.642009,112.361.,1165
|
||||
0.000162778,0.00740261,0.642773,119.675.,1364
|
||||
0.000113733,0.00740261,0.652888,102.147.,2012
|
||||
0.000119502,0.00740261,0.65036,103.006.,1817
|
||||
0.000123499,0.00740261,0.642794,104.759.,1498
|
||||
7.33021e-05,0.0103637,0.695354,85.1149.,1998
|
||||
9.86305e-05,0.0103637,0.696996,82.2095.,2127
|
||||
9.13367e-05,0.0103637,0.699654,93.8283.,1339
|
||||
5.75201e-05,0.0103637,0.685872,99.4121.,1936
|
||||
8.29441e-05,0.0103637,0.689831,84.7928.,1570
|
||||
8.37538e-05,0.0103637,0.687731,89.4784.,1535
|
||||
7.72656e-05,0.0103637,0.692668,98.0445.,1478
|
||||
5.69885e-05,0.0103637,0.686888,82.4413.,2455
|
||||
7.94244e-05,0.0103637,0.690775,95.9898.,1700
|
||||
9.02474e-05,0.0103637,0.702276,82.9514.,1923
|
||||
7.38352e-05,0.0103637,0.679235,95.6417.,1518
|
||||
0.000106945,0.0103637,0.68402,97.597.,1496
|
||||
7.83009e-05,0.0103637,0.693436,92.8455.,2190
|
||||
4.40066e-05,0.0103637,0.683834,87.554.,2604
|
||||
0.000109585,0.0103637,0.689338,88.0962.,1754
|
||||
8.75302e-05,0.0103637,0.6934,92.764.,1940
|
||||
6.00375e-05,0.0103637,0.700927,92.6177.,1908
|
||||
6.18399e-05,0.0103637,0.683082,91.9667.,1509
|
||||
0.000116728,0.0103637,0.700828,82.2732.,1821
|
||||
9.10256e-05,0.0103637,0.692394,94.741.,1626
|
||||
8.72593e-05,0.0103637,0.685888,87.4631.,1578
|
||||
8.07573e-05,0.0103637,0.686368,99.0457.,1287
|
||||
5.47625e-05,0.0103637,0.70257,83.0585.,3707
|
||||
9.642e-05,0.0103637,0.690792,87.7612.,1962
|
||||
5.6002e-05,0.0103637,0.697936,92.4952.,2188
|
||||
9.19145e-05,0.0103637,0.696617,87.4672.,1709
|
||||
9.30803e-05,0.0103637,0.69225,85.5196.,1738
|
||||
5.5693e-05,0.0103637,0.70504,96.1244.,1800
|
||||
5.53709e-05,0.0103637,0.688722,80.3879.,2687
|
||||
0.000103781,0.0103637,0.702795,88.557.,1964
|
||||
9.48859e-05,0.0103637,0.707829,80.9192.,1809
|
||||
5.9123e-05,0.0103637,0.692679,88.0159.,2308
|
||||
0.000104426,0.0103637,0.687809,92.5849.,1592
|
||||
7.17017e-05,0.0103637,0.688038,95.6485.,1590
|
||||
9.04185e-05,0.0103637,0.696046,82.6378.,2400
|
||||
8.52955e-05,0.0103637,0.68677,86.2912.,1972
|
||||
6.0231e-05,0.0103637,0.692419,87.6295.,2138
|
||||
6.19528e-05,0.0103637,0.677021,93.7818.,2474
|
||||
4.86728e-05,0.0103637,0.695779,81.2872.,1966
|
||||
0.000112679,0.0103637,0.683283,92.884.,1525
|
||||
3.35026e-05,0.0103637,0.693536,85.1577.,2834
|
||||
0.000111562,0.0103637,0.701278,82.4601.,1494
|
||||
5.60467e-05,0.0103637,0.693734,88.7562.,2850
|
||||
8.91618e-05,0.0103637,0.695836,85.7044.,1825
|
||||
5.86723e-05,0.0103637,0.695234,90.0389.,1775
|
||||
0.000124082,0.0103637,0.693874,90.6256.,1832
|
||||
7.59202e-05,0.0103637,0.695028,86.5225.,1412
|
||||
9.78369e-05,0.0103637,0.691068,93.0686.,1522
|
||||
0.000133166,0.0103637,0.70704,86.9607.,2158
|
||||
6.94058e-05,0.0103637,0.687931,91.6042.,2246
|
||||
6.23195e-05,0.0103637,0.686537,100.349.,1409
|
||||
5.2505e-05,0.0103637,0.695303,78.4994.,3239
|
||||
0.000118392,0.0103637,0.689132,89.8504.,1612
|
||||
9.63249e-05,0.0103637,0.687783,83.6403.,2080
|
||||
5.99358e-05,0.0103637,0.690797,101.654.,1713
|
||||
7.13858e-05,0.0103637,0.696033,99.3329.,1566
|
||||
8.29146e-05,0.0103637,0.694109,92.788.,1932
|
||||
6.941e-05,0.0103637,0.689276,83.6513.,2264
|
||||
7.01229e-05,0.0103637,0.685375,85.7803.,2056
|
||||
6.00461e-05,0.0103637,0.694496,83.9198.,2334
|
||||
7.17098e-05,0.0103637,0.691257,97.1194.,1678
|
||||
5.56866e-05,0.0103637,0.693604,86.66.,3172
|
||||
8.57536e-05,0.0103637,0.696875,95.519.,1736
|
||||
5.44961e-05,0.0103637,0.705914,94.3315.,2152
|
||||
0.00010223,0.0103637,0.696688,89.9138.,1796
|
||||
8.7968e-05,0.0103637,0.70126,89.7127.,1584
|
||||
5.85877e-05,0.0103637,0.685943,88.7631.,2666
|
||||
8.37385e-05,0.0103637,0.687253,86.5084.,1413
|
||||
6.09753e-05,0.0103637,0.684085,93.2268.,2400
|
||||
6.68336e-05,0.0103637,0.695989,86.4354.,2138
|
||||
7.2593e-05,0.0103637,0.687196,91.7037.,1767
|
||||
7.43132e-05,0.0103637,0.68878,89.9394.,1454
|
||||
6.50205e-05,0.0103637,0.694766,82.762.,2376
|
||||
6.27443e-05,0.0103637,0.689244,81.379.,2775
|
||||
9.78857e-05,0.0103637,0.6923,80.2224.,2365
|
||||
5.53248e-05,0.0103637,0.690217,79.8926.,3130
|
||||
8.19988e-05,0.0103637,0.680978,95.5281.,1393
|
||||
8.39435e-05,0.0103637,0.696348,87.6941.,1657
|
||||
7.80363e-05,0.0103637,0.688069,101.649.,1615
|
||||
0.000108058,0.0103637,0.703279,85.3415.,2047
|
||||
8.591e-05,0.0103637,0.70373,86.2938.,2134
|
||||
0.000100807,0.0103637,0.688379,101.265.,1184
|
||||
6.81251e-05,0.0103637,0.690025,84.5136.,1942
|
||||
0.000100306,0.0103637,0.694876,90.5252.,1811
|
||||
7.43149e-05,0.0103637,0.681349,90.4494.,2383
|
||||
6.54223e-05,0.0103637,0.691461,94.5348.,1662
|
||||
4.00803e-05,0.0103637,0.697672,77.2599.,2960
|
||||
7.43768e-05,0.0103637,0.686236,89.5657.,2487
|
||||
0.000116654,0.0103637,0.703829,78.0427.,2381
|
||||
4.85051e-05,0.0103637,0.685997,91.3327.,2003
|
||||
5.55332e-05,0.0103637,0.691656,116.609.,1170
|
||||
6.60943e-05,0.0103637,0.693062,83.6798.,1744
|
||||
5.83277e-05,0.0103637,0.692641,89.0655.,2169
|
||||
9.19515e-05,0.0103637,0.696555,82.225.,2525
|
||||
8.81229e-05,0.0103637,0.68317,90.5327.,2012
|
||||
5.85726e-05,0.0103637,0.692007,78.9694.,2646
|
||||
9.00751e-05,0.0103637,0.696617,83.061.,2168
|
||||
9.74536e-05,0.0103637,0.701995,97.7498.,1565
|
||||
8.15851e-05,0.0103637,0.693622,87.9928.,1602
|
||||
0.000105786,0.0103637,0.702003,83.4737.,1711
|
||||
6.57581e-05,0.00592209,0.622392,113.016,2368
|
||||
5.16451e-05,0.00592209,0.610293,118.796,2433
|
||||
6.45083e-05,0.00592209,0.592139,127.157,1655
|
||||
7.14801e-05,0.00592209,0.624039,121.613,1933
|
||||
5.62707e-05,0.00592209,0.611091,119.539,2618
|
||||
5.55953e-05,0.00592209,0.625812,119.512,2505
|
||||
5.96026e-05,0.00592209,0.622873,118.285,1582
|
||||
6.63676e-05,0.00592209,0.602386,126.579,2214
|
||||
5.93125e-05,0.00592209,0.608913,122.512,2262
|
||||
6.05066e-05,0.00592209,0.621467,118.473,2465
|
||||
6.42976e-05,0.00592209,0.602593,121.998,2127
|
||||
5.32868e-05,0.00592209,0.616501,115.313,2746
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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6.47262e-05,0.00592209,0.609141,123.169,1989
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5.86723e-05,0.0103637,0.695234,90.0389,1775
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6.23195e-05,0.0103637,0.686537,100.349,1409
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||||
5.2505e-05,0.0103637,0.695303,78.4994,3239
|
||||
0.000118392,0.0103637,0.689132,89.8504,1612
|
||||
9.63249e-05,0.0103637,0.687783,83.6403,2080
|
||||
5.99358e-05,0.0103637,0.690797,101.654,1713
|
||||
7.13858e-05,0.0103637,0.696033,99.3329,1566
|
||||
8.29146e-05,0.0103637,0.694109,92.788,1932
|
||||
6.941e-05,0.0103637,0.689276,83.6513,2264
|
||||
7.01229e-05,0.0103637,0.685375,85.7803,2056
|
||||
6.00461e-05,0.0103637,0.694496,83.9198,2334
|
||||
7.17098e-05,0.0103637,0.691257,97.1194,1678
|
||||
5.56866e-05,0.0103637,0.693604,86.66,3172
|
||||
8.57536e-05,0.0103637,0.696875,95.519,1736
|
||||
5.44961e-05,0.0103637,0.705914,94.3315,2152
|
||||
0.00010223,0.0103637,0.696688,89.9138,1796
|
||||
8.7968e-05,0.0103637,0.70126,89.7127,1584
|
||||
5.85877e-05,0.0103637,0.685943,88.7631,2666
|
||||
8.37385e-05,0.0103637,0.687253,86.5084,1413
|
||||
6.09753e-05,0.0103637,0.684085,93.2268,2400
|
||||
6.68336e-05,0.0103637,0.695989,86.4354,2138
|
||||
7.2593e-05,0.0103637,0.687196,91.7037,1767
|
||||
7.43132e-05,0.0103637,0.68878,89.9394,1454
|
||||
6.50205e-05,0.0103637,0.694766,82.762,2376
|
||||
6.27443e-05,0.0103637,0.689244,81.379,2775
|
||||
9.78857e-05,0.0103637,0.6923,80.2224,2365
|
||||
5.53248e-05,0.0103637,0.690217,79.8926,3130
|
||||
8.19988e-05,0.0103637,0.680978,95.5281,1393
|
||||
8.39435e-05,0.0103637,0.696348,87.6941,1657
|
||||
7.80363e-05,0.0103637,0.688069,101.649,1615
|
||||
0.000108058,0.0103637,0.703279,85.3415,2047
|
||||
8.591e-05,0.0103637,0.70373,86.2938,2134
|
||||
0.000100807,0.0103637,0.688379,101.265,1184
|
||||
6.81251e-05,0.0103637,0.690025,84.5136,1942
|
||||
0.000100306,0.0103637,0.694876,90.5252,1811
|
||||
7.43149e-05,0.0103637,0.681349,90.4494,2383
|
||||
6.54223e-05,0.0103637,0.691461,94.5348,1662
|
||||
4.00803e-05,0.0103637,0.697672,77.2599,2960
|
||||
7.43768e-05,0.0103637,0.686236,89.5657,2487
|
||||
0.000116654,0.0103637,0.703829,78.0427,2381
|
||||
4.85051e-05,0.0103637,0.685997,91.3327,2003
|
||||
5.55332e-05,0.0103637,0.691656,116.609,1170
|
||||
6.60943e-05,0.0103637,0.693062,83.6798,1744
|
||||
5.83277e-05,0.0103637,0.692641,89.0655,2169
|
||||
9.19515e-05,0.0103637,0.696555,82.225,2525
|
||||
8.81229e-05,0.0103637,0.68317,90.5327,2012
|
||||
5.85726e-05,0.0103637,0.692007,78.9694,2646
|
||||
9.00751e-05,0.0103637,0.696617,83.061,2168
|
||||
9.74536e-05,0.0103637,0.701995,97.7498,1565
|
||||
8.15851e-05,0.0103637,0.693622,87.9928,1602
|
||||
0.000105786,0.0103637,0.702003,83.4737,1711
|
||||
|
||||
|
301
dokumentation/evolution3d/4x4xX.error
Normal file
301
dokumentation/evolution3d/4x4xX.error
Normal file
@ -0,0 +1,301 @@
|
||||
"Evolution error
|
||||
113.016
|
||||
118.796
|
||||
127.157
|
||||
121.613
|
||||
119.539
|
||||
119.512
|
||||
118.285
|
||||
126.579
|
||||
122.512
|
||||
118.473
|
||||
121.998
|
||||
115.313
|
||||
118.034
|
||||
120.003
|
||||
123.494
|
||||
122.989
|
||||
123.757
|
||||
110.67
|
||||
121.232
|
||||
120.979
|
||||
115.394
|
||||
116.928
|
||||
125.294
|
||||
111.635
|
||||
114.681
|
||||
111.935
|
||||
111.392
|
||||
115.346
|
||||
119.055
|
||||
117.452
|
||||
123.379
|
||||
115.053
|
||||
123.994
|
||||
118.576
|
||||
116.894
|
||||
120.129
|
||||
126.708
|
||||
114.595
|
||||
120.056
|
||||
122.057
|
||||
116.846
|
||||
124.35
|
||||
118.43
|
||||
116.574
|
||||
128.474
|
||||
111.111
|
||||
120.004
|
||||
119.866
|
||||
119.676
|
||||
128.957
|
||||
108.467
|
||||
123.353
|
||||
123.301
|
||||
114.838
|
||||
118.611
|
||||
109.616
|
||||
113.565
|
||||
120.01
|
||||
125.441
|
||||
122.541
|
||||
123.169
|
||||
117.344
|
||||
112.674
|
||||
118.787
|
||||
112.061
|
||||
110.262
|
||||
116.504
|
||||
109.607
|
||||
122.198
|
||||
124.527
|
||||
120.886
|
||||
119.176
|
||||
121.081
|
||||
121.038
|
||||
112.392
|
||||
121.148
|
||||
117.053
|
||||
123.651
|
||||
128.446
|
||||
115.527
|
||||
121.456
|
||||
127.418
|
||||
113.541
|
||||
116.805
|
||||
123.244
|
||||
123.095
|
||||
115.9
|
||||
124.024
|
||||
114.685
|
||||
113.428
|
||||
117.456
|
||||
122.15
|
||||
124.576
|
||||
113.63
|
||||
126.608
|
||||
129.916
|
||||
119.673
|
||||
116.233
|
||||
125.086
|
||||
112.897
|
||||
104.911
|
||||
102.122
|
||||
100.463
|
||||
111.329
|
||||
104.712
|
||||
100.048
|
||||
102.05
|
||||
98.3549
|
||||
93.4038
|
||||
104.028
|
||||
102.965
|
||||
102.822
|
||||
97.9662
|
||||
100.341
|
||||
109.73
|
||||
99.6362
|
||||
113.29
|
||||
112.572
|
||||
86.3175
|
||||
91.637
|
||||
107.27
|
||||
110.797
|
||||
99.0484
|
||||
94.2222
|
||||
104.417
|
||||
96.4144
|
||||
108.23
|
||||
98.5045
|
||||
93.4554
|
||||
110.564
|
||||
104.082
|
||||
95.1024
|
||||
100.132
|
||||
102.451
|
||||
116.302
|
||||
98.5173
|
||||
104.428
|
||||
104.909
|
||||
106.289
|
||||
106.708
|
||||
108.022
|
||||
97.8253
|
||||
114.829
|
||||
115.054
|
||||
106.6
|
||||
105.157
|
||||
93.2856
|
||||
98.8994
|
||||
117.524
|
||||
97.0705
|
||||
95.9897
|
||||
104.384
|
||||
104.01
|
||||
104.585
|
||||
98.8101
|
||||
104.262
|
||||
95.1758
|
||||
109.61
|
||||
96.3427
|
||||
106.331
|
||||
103.753
|
||||
106.698
|
||||
97.9397
|
||||
106.656
|
||||
102.299
|
||||
104.71
|
||||
99.6516
|
||||
85.3402
|
||||
103.875
|
||||
99.7871
|
||||
99.823
|
||||
110.554
|
||||
114.952
|
||||
99.7046
|
||||
96.1227
|
||||
94.9822
|
||||
109.207
|
||||
106.855
|
||||
110.589
|
||||
96.4926
|
||||
104.201
|
||||
95.364
|
||||
95.9782
|
||||
109.152
|
||||
99.7984
|
||||
106.249
|
||||
91.3925
|
||||
102.095
|
||||
108.615
|
||||
100.235
|
||||
102.616
|
||||
114.163
|
||||
107.106
|
||||
94.8621
|
||||
91.0518
|
||||
112.361
|
||||
119.675
|
||||
102.147
|
||||
103.006
|
||||
104.759
|
||||
85.1149
|
||||
82.2095
|
||||
93.8283
|
||||
99.4121
|
||||
84.7928
|
||||
89.4784
|
||||
98.0445
|
||||
82.4413
|
||||
95.9898
|
||||
82.9514
|
||||
95.6417
|
||||
97.597
|
||||
92.8455
|
||||
87.554
|
||||
88.0962
|
||||
92.764
|
||||
92.6177
|
||||
91.9667
|
||||
82.2732
|
||||
94.741
|
||||
87.4631
|
||||
99.0457
|
||||
83.0585
|
||||
87.7612
|
||||
92.4952
|
||||
87.4672
|
||||
85.5196
|
||||
96.1244
|
||||
80.3879
|
||||
88.557
|
||||
80.9192
|
||||
88.0159
|
||||
92.5849
|
||||
95.6485
|
||||
82.6378
|
||||
86.2912
|
||||
87.6295
|
||||
93.7818
|
||||
81.2872
|
||||
92.884
|
||||
85.1577
|
||||
82.4601
|
||||
88.7562
|
||||
85.7044
|
||||
90.0389
|
||||
90.6256
|
||||
86.5225
|
||||
93.0686
|
||||
86.9607
|
||||
91.6042
|
||||
100.349
|
||||
78.4994
|
||||
89.8504
|
||||
83.6403
|
||||
101.654
|
||||
99.3329
|
||||
92.788
|
||||
83.6513
|
||||
85.7803
|
||||
83.9198
|
||||
97.1194
|
||||
86.66
|
||||
95.519
|
||||
94.3315
|
||||
89.9138
|
||||
89.7127
|
||||
88.7631
|
||||
86.5084
|
||||
93.2268
|
||||
86.4354
|
||||
91.7037
|
||||
89.9394
|
||||
82.762
|
||||
81.379
|
||||
80.2224
|
||||
79.8926
|
||||
95.5281
|
||||
87.6941
|
||||
101.649
|
||||
85.3415
|
||||
86.2938
|
||||
101.265
|
||||
84.5136
|
||||
90.5252
|
||||
90.4494
|
||||
94.5348
|
||||
77.2599
|
||||
89.5657
|
||||
78.0427
|
||||
91.3327
|
||||
116.609
|
||||
83.6798
|
||||
89.0655
|
||||
82.225
|
||||
90.5327
|
||||
78.9694
|
||||
83.061
|
||||
97.7498
|
||||
87.9928
|
||||
83.4737
|
||||
@ -1,7 +1,7 @@
|
||||
|
||||
|
||||
*******************************************************************************
|
||||
Mon Oct 16 12:22:40 2017
|
||||
Wed Oct 25 19:14:24 2017
|
||||
|
||||
|
||||
FIT: data read from "4x4xX.csv" every ::1 using 1:5
|
||||
@ -47,7 +47,7 @@ b -0.938 1.000
|
||||
|
||||
|
||||
*******************************************************************************
|
||||
Mon Oct 16 12:22:40 2017
|
||||
Wed Oct 25 19:14:24 2017
|
||||
|
||||
|
||||
FIT: data read from "4x4xX.csv" every ::1 using 3:5
|
||||
@ -93,7 +93,7 @@ bb -0.999 1.000
|
||||
|
||||
|
||||
*******************************************************************************
|
||||
Mon Oct 16 12:22:40 2017
|
||||
Wed Oct 25 19:14:24 2017
|
||||
|
||||
|
||||
FIT: data read from "4x4xX.csv" every ::1 using 3:4
|
||||
@ -139,7 +139,7 @@ bbb -0.999 1.000
|
||||
|
||||
|
||||
*******************************************************************************
|
||||
Mon Oct 16 12:22:40 2017
|
||||
Wed Oct 25 19:14:24 2017
|
||||
|
||||
|
||||
FIT: data read from "4x4xX.csv" every ::1 using 2:4
|
||||
|
||||
@ -5,22 +5,22 @@ set terminal png
|
||||
set xlabel 'regularity'
|
||||
set ylabel 'steps'
|
||||
set output "4x4xX_regularity-vs-steps.png"
|
||||
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 1:5 title "4x4x4", "20171005_3dFit_4x4x5_100times.csv" every ::1 using 1:5 title "4x4x5", "20171013_3dFit_4x4x7_100times.csv" every ::1 using 1:5 title "4x4x7", f(x) title "lin. fit" lc rgb "black"
|
||||
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 1:5 title "4x4x4" pt 2, "20171005_3dFit_4x4x5_100times.csv" every ::1 using 1:5 title "4x4x5" pt 2, "20171013_3dFit_4x4x7_100times.csv" every ::1 using 1:5 title "4x4x7" pt 2, f(x) title "lin. fit" lc rgb "black"
|
||||
g(x)=aa*x+bb
|
||||
fit g(x) "4x4xX.csv" every ::1 using 3:5 via aa,bb
|
||||
set xlabel 'improvement potential'
|
||||
set ylabel 'steps'
|
||||
set output "4x4xX_improvement-vs-steps.png"
|
||||
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:5 title "4x4x4", "20171005_3dFit_4x4x5_100times.csv" every ::1 using 3:5 title "4x4x5", "20171013_3dFit_4x4x7_100times.csv" every ::1 using 3:5 title "4x4x7", g(x) title "lin. fit" lc rgb "black"
|
||||
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:5 title "4x4x4" pt 2, "20171005_3dFit_4x4x5_100times.csv" every ::1 using 3:5 title "4x4x5" pt 2, "20171013_3dFit_4x4x7_100times.csv" every ::1 using 3:5 title "4x4x7" pt 2, g(x) title "lin. fit" lc rgb "black"
|
||||
h(x)=aaa*x+bbb
|
||||
fit h(x) "4x4xX.csv" every ::1 using 3:4 via aaa,bbb
|
||||
set xlabel 'improvement potential'
|
||||
set ylabel 'evolution error'
|
||||
set output "4x4xX_improvement-vs-evo-error.png"
|
||||
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:4 title "4x4x4", "20171005_3dFit_4x4x5_100times.csv" every ::1 using 3:4 title "4x4x5", "20171013_3dFit_4x4x7_100times.csv" every ::1 using 3:4 title "4x4x7", h(x) title "lin. fit" lc rgb "black"
|
||||
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:4 title "4x4x4" pt 2, "20171005_3dFit_4x4x5_100times.csv" every ::1 using 3:4 title "4x4x5" pt 2, "20171013_3dFit_4x4x7_100times.csv" every ::1 using 3:4 title "4x4x7" pt 2, h(x) title "lin. fit" lc rgb "black"
|
||||
i(x)=aaaa*x+bbbb
|
||||
fit i(x) "4x4xX.csv" every ::1 using 2:4 via aaaa,bbbb
|
||||
set xlabel 'variability'
|
||||
set ylabel 'evolution error'
|
||||
set output "4x4xX_variability-vs-evo-error.png"
|
||||
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 2:4 title "4x4x4", "20171005_3dFit_4x4x5_100times.csv" every ::1 using 2:4 title "4x4x5", "20171013_3dFit_4x4x7_100times.csv" every ::1 using 2:4 title "4x4x7", i(x) title "lin. fit" lc rgb "black"
|
||||
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 2:4 title "4x4x4" pt 2, "20171005_3dFit_4x4x5_100times.csv" every ::1 using 2:4 title "4x4x5" pt 2, "20171013_3dFit_4x4x7_100times.csv" every ::1 using 2:4 title "4x4x7" pt 2, i(x) title "lin. fit" lc rgb "black"
|
||||
|
||||
9
dokumentation/evolution3d/4x4xX.mms
Normal file
9
dokumentation/evolution3d/4x4xX.mms
Normal file
@ -0,0 +1,9 @@
|
||||
[1] "================ Analyzing 4x4xX.csv"
|
||||
[1] "Mean:"
|
||||
[1] 103.7625
|
||||
[1] "Median:"
|
||||
[1] 103.3795
|
||||
[1] "Sigma:"
|
||||
[1] 13.69887
|
||||
[1] "Range:"
|
||||
[1] 77.2599 129.9160
|
||||
49
dokumentation/evolution3d/4x4xX.spearman
Normal file
49
dokumentation/evolution3d/4x4xX.spearman
Normal file
@ -0,0 +1,49 @@
|
||||
[1] "================ Analyzing 4x4xX.csv"
|
||||
[1] "spearman for improvement-potential vs. evolution-error"
|
||||
x y
|
||||
x 1.0 -0.9
|
||||
y -0.9 1.0
|
||||
|
||||
n= 300
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0
|
||||
y 0
|
||||
[1] "spearman for improvement-potential vs. steps"
|
||||
x y
|
||||
x 1.00 -0.13
|
||||
y -0.13 1.00
|
||||
|
||||
n= 300
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0.0232
|
||||
y 0.0232
|
||||
[1] "spearman for regularity vs. steps"
|
||||
x y
|
||||
x 1.00 -0.46
|
||||
y -0.46 1.00
|
||||
|
||||
n= 300
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0
|
||||
y 0
|
||||
[1] "spearman for variability vs. evolution-error"
|
||||
x y
|
||||
x 1.00 -0.89
|
||||
y -0.89 1.00
|
||||
|
||||
n= 300
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0
|
||||
y 0
|
||||
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|
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|
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|
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|
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32
dokumentation/evolution3d/R_analysis.sh
Executable file
32
dokumentation/evolution3d/R_analysis.sh
Executable file
@ -0,0 +1,32 @@
|
||||
#!/bin/bash
|
||||
|
||||
# regularity,variability,improvement,"Evolution error",steps
|
||||
# 6.57581e-05,0.00592209,0.622392,113.016,2368
|
||||
|
||||
if [[ -f "$1" ]]; then
|
||||
|
||||
R -q --slave --vanilla <<EOF
|
||||
print("================ Analyzing $1")
|
||||
library(Hmisc)
|
||||
print("spearman for improvement-potential vs. evolution-error")
|
||||
DF=as.matrix(read.csv("$1",header=TRUE))
|
||||
rcorr(DF[,3],DF[,4],type="spearman")
|
||||
|
||||
print("spearman for improvement-potential vs. steps")
|
||||
DF=as.matrix(read.csv("$1",header=TRUE))
|
||||
rcorr(DF[,3],DF[,5],type="spearman")
|
||||
|
||||
print("spearman for regularity vs. steps")
|
||||
DF=as.matrix(read.csv("$1",header=TRUE))
|
||||
rcorr(DF[,1],DF[,5],type="spearman")
|
||||
|
||||
print("spearman for variability vs. evolution-error")
|
||||
DF=as.matrix(read.csv("$1",header=TRUE))
|
||||
rcorr(DF[,2],DF[,4],type="spearman")
|
||||
EOF
|
||||
|
||||
else
|
||||
|
||||
echo "Usage: $0 <Filename.csv>"
|
||||
fi
|
||||
|
||||
26
dokumentation/evolution3d/R_mean_med_sigma.sh
Executable file
26
dokumentation/evolution3d/R_mean_med_sigma.sh
Executable file
@ -0,0 +1,26 @@
|
||||
#!/bin/bash
|
||||
|
||||
# regularity,variability,improvement,"Evolution error",steps
|
||||
# 6.57581e-05,0.00592209,0.622392,113.016,2368
|
||||
|
||||
if [[ -f "$2" ]]; then
|
||||
|
||||
R -q --slave --vanilla <<EOF
|
||||
print("================ Analyzing $2")
|
||||
#library(Hmisc)
|
||||
DF=as.matrix(read.csv("$2",header=TRUE))
|
||||
print("Mean:")
|
||||
mean(DF[,$1])
|
||||
print("Median:")
|
||||
median(DF[,$1])
|
||||
print("Sigma:")
|
||||
sd(DF[,$1])
|
||||
print("Range:")
|
||||
range(DF[,$1])
|
||||
EOF
|
||||
|
||||
else
|
||||
|
||||
echo "Usage: $0 <column> <Filename.csv>"
|
||||
fi
|
||||
|
||||
@ -1,301 +1,301 @@
|
||||
regularity,variability,improvement,"Evolution error",steps
|
||||
6.57581e-05,0.00592209,0.622392,113.016.,2368
|
||||
5.16451e-05,0.00592209,0.610293,118.796.,2433
|
||||
6.45083e-05,0.00592209,0.592139,127.157.,1655
|
||||
7.14801e-05,0.00592209,0.624039,121.613.,1933
|
||||
5.62707e-05,0.00592209,0.611091,119.539.,2618
|
||||
5.55953e-05,0.00592209,0.625812,119.512.,2505
|
||||
5.96026e-05,0.00592209,0.622873,118.285.,1582
|
||||
6.63676e-05,0.00592209,0.602386,126.579.,2214
|
||||
5.93125e-05,0.00592209,0.608913,122.512.,2262
|
||||
6.05066e-05,0.00592209,0.621467,118.473.,2465
|
||||
6.42976e-05,0.00592209,0.602593,121.998.,2127
|
||||
5.32868e-05,0.00592209,0.616501,115.313.,2746
|
||||
5.47856e-05,0.00592209,0.615173,118.034.,2148
|
||||
6.47209e-05,0.00592209,0.603935,120.003.,2304
|
||||
7.07812e-05,0.00592209,0.620422,123.494.,1941
|
||||
6.49313e-05,0.00592209,0.616232,122.989.,2214
|
||||
6.64295e-05,0.00592209,0.605206,123.757.,1675
|
||||
5.88806e-05,0.00592209,0.628055,110.67.,2230
|
||||
7.56461e-05,0.00592209,0.625361,121.232.,2187
|
||||
4.932e-05,0.00592209,0.612261,120.979.,2280
|
||||
5.45998e-05,0.00592209,0.61935,115.394.,2380
|
||||
6.10654e-05,0.00592209,0.614029,116.928.,2327
|
||||
6.09488e-05,0.00592209,0.611892,125.294.,1609
|
||||
5.85691e-05,0.00592209,0.632686,111.635.,2831
|
||||
6.87292e-05,0.00592209,0.61519,114.681.,2565
|
||||
6.53377e-05,0.00592209,0.627408,111.935.,2596
|
||||
6.98345e-05,0.00592209,0.616158,111.392.,2417
|
||||
7.90547e-05,0.00592209,0.620575,115.346.,2031
|
||||
6.50231e-05,0.00592209,0.625725,119.055.,1842
|
||||
6.76541e-05,0.00592209,0.625399,117.452.,1452
|
||||
5.72222e-05,0.00592209,0.614171,123.379.,2186
|
||||
7.42483e-05,0.00592209,0.624683,115.053.,2236
|
||||
6.9354e-05,0.00592209,0.619596,123.994.,1688
|
||||
5.75478e-05,0.00592209,0.605051,118.576.,1930
|
||||
6.01309e-05,0.00592209,0.617511,116.894.,2184
|
||||
6.69251e-05,0.00592209,0.608408,120.129.,2007
|
||||
4.66926e-05,0.00592209,0.60606,126.708.,1552
|
||||
4.90102e-05,0.00592209,0.618673,114.595.,2783
|
||||
5.51505e-05,0.00592209,0.619245,120.056.,2463
|
||||
6.1007e-05,0.00592209,0.605215,122.057.,1493
|
||||
5.04717e-05,0.00592209,0.623503,116.846.,2620
|
||||
6.3578e-05,0.00592209,0.625261,124.35.,2193
|
||||
5.8875e-05,0.00592209,0.624526,118.43.,2502
|
||||
7.95299e-05,0.00592209,0.611719,116.574.,1849
|
||||
6.42733e-05,0.00592209,0.608178,128.474.,2078
|
||||
6.41674e-05,0.00592209,0.624042,111.111.,2037
|
||||
4.88661e-05,0.00592209,0.615408,120.004.,2627
|
||||
7.27714e-05,0.00592209,0.626926,119.866.,2128
|
||||
4.84641e-05,0.00592209,0.608054,119.676.,2408
|
||||
6.66562e-05,0.00592209,0.603902,128.957.,1668
|
||||
5.99872e-05,0.00592209,0.63676,108.467.,3448
|
||||
7.73127e-05,0.00592209,0.62232,123.353.,1551
|
||||
6.67597e-05,0.00592209,0.621411,123.301.,2180
|
||||
5.2819e-05,0.00592209,0.617515,114.838.,4096
|
||||
5.29257e-05,0.00592209,0.622611,118.611.,1973
|
||||
5.35212e-05,0.00592209,0.62533,109.616.,3424
|
||||
7.1947e-05,0.00592209,0.632331,113.565.,2905
|
||||
5.04311e-05,0.00592209,0.611559,120.01.,2147
|
||||
6.57161e-05,0.00592209,0.617789,125.441.,1820
|
||||
5.18695e-05,0.00592209,0.610402,122.541.,2430
|
||||
6.47262e-05,0.00592209,0.609141,123.169.,1989
|
||||
5.87925e-05,0.00592209,0.61627,117.344.,2143
|
||||
4.36904e-05,0.00592209,0.631954,112.674.,3526
|
||||
6.45195e-05,0.00592209,0.614402,118.787.,1765
|
||||
5.8354e-05,0.00592209,0.615515,112.061.,2368
|
||||
7.14669e-05,0.00592209,0.628382,110.262.,1923
|
||||
7.24908e-05,0.00592209,0.610848,116.504.,1830
|
||||
5.98617e-05,0.00592209,0.622949,109.607.,3609
|
||||
5.90411e-05,0.00592209,0.629175,122.198.,1859
|
||||
5.25569e-05,0.00592209,0.621253,124.527.,1876
|
||||
5.86979e-05,0.00592209,0.612603,120.886.,2916
|
||||
4.73113e-05,0.00592209,0.610586,119.176.,2072
|
||||
5.8777e-05,0.00592209,0.62863,121.081.,2338
|
||||
5.6608e-05,0.00592209,0.617215,121.038.,3021
|
||||
5.74614e-05,0.00592209,0.626088,112.392.,2182
|
||||
6.86466e-05,0.00592209,0.631893,121.148.,2246
|
||||
4.77969e-05,0.00592209,0.635218,117.053.,2939
|
||||
5.50553e-05,0.00592209,0.610707,123.651.,1417
|
||||
6.89628e-05,0.00592209,0.638474,128.446.,1840
|
||||
6.85622e-05,0.00592209,0.620769,115.527.,2116
|
||||
5.28017e-05,0.00592209,0.614948,121.456.,2178
|
||||
7.06916e-05,0.00592209,0.61804,127.418.,2354
|
||||
6.81788e-05,0.00592209,0.616056,113.541.,2768
|
||||
7.89711e-05,0.00592209,0.615108,116.805.,2293
|
||||
5.84297e-05,0.00592209,0.612733,123.244.,2206
|
||||
5.53374e-05,0.00592209,0.605062,123.095.,1902
|
||||
5.51739e-05,0.00592209,0.631543,115.9.,3145
|
||||
6.9413e-05,0.00592209,0.59103,124.024.,1475
|
||||
5.08739e-05,0.00592209,0.621454,114.685.,3356
|
||||
5.95256e-05,0.00592209,0.626188,113.428.,2336
|
||||
5.63659e-05,0.00592209,0.618554,117.456.,2105
|
||||
6.32019e-05,0.00592209,0.616926,122.15.,1799
|
||||
6.05333e-05,0.00592209,0.613481,124.576.,1873
|
||||
5.35997e-05,0.00592209,0.621122,113.63.,2834
|
||||
5.94187e-05,0.00592209,0.606925,126.608.,1970
|
||||
6.52182e-05,0.00592209,0.610882,129.916.,1246
|
||||
6.78626e-05,0.00592209,0.608581,119.673.,2155
|
||||
5.12495e-05,0.00592209,0.6262,116.233.,3037
|
||||
6.7083e-05,0.00592209,0.608299,125.086.,1595
|
||||
6.74099e-05,0.00592209,0.620429,112.897.,2800
|
||||
0.00013051,0.00740261,0.673824,91.4882.,1062
|
||||
0.000159037,0.00740261,0.666191,95.001.,1290
|
||||
0.000109945,0.00740261,0.685209,97.72.,1059
|
||||
0.000120805,0.00740261,0.688032,99.0429.,882
|
||||
0.000140221,0.00740261,0.675152,102.273.,1178
|
||||
0.000134368,0.00740261,0.661202,98.0028.,719
|
||||
0.000117293,0.00740261,0.660647,101.929.,1039
|
||||
9.7644e-05,0.00740261,0.667314,103.969.,1151
|
||||
0.000106383,0.00740261,0.662442,92.5069.,829
|
||||
0.000155402,0.00740261,0.654566,118.88.,500
|
||||
0.000113231,0.00740261,0.656068,96.2138.,1209
|
||||
0.000130038,0.00740261,0.664787,100.164.,1132
|
||||
0.000136999,0.00740261,0.664672,95.9282.,953
|
||||
0.000132682,0.00740261,0.661782,96.3737.,863
|
||||
0.000137845,0.00740261,0.68534,107.927.,456
|
||||
0.000145459,0.00740261,0.68091,98.0377.,655
|
||||
0.000102442,0.00740261,0.661866,94.9011.,1197
|
||||
0.00010359,0.00740261,0.669868,102.223.,1144
|
||||
0.000129823,0.00740261,0.677934,126.177.,487
|
||||
0.000132429,0.00740261,0.679809,101.879.,614
|
||||
0.000115304,0.00740261,0.669119,90.0009.,1160
|
||||
0.0001255,0.00740261,0.654297,101.026.,628
|
||||
0.000158057,0.00740261,0.664945,94.5618.,766
|
||||
0.000154108,0.00740261,0.671599,99.2481.,556
|
||||
0.000144671,0.00740261,0.671715,94.1741.,941
|
||||
0.000149935,0.00740261,0.664314,102.894.,593
|
||||
0.000120403,0.00740261,0.661916,103.993.,856
|
||||
0.000122521,0.00740261,0.688557,96.549.,1544
|
||||
0.000176649,0.00740261,0.673862,90.1281.,1182
|
||||
0.000148777,0.00740261,0.685072,104.444.,649
|
||||
0.000101352,0.00740261,0.673358,104.542.,1051
|
||||
0.000117799,0.00740261,0.656687,107.051.,525
|
||||
0.000119537,0.00740261,0.674016,102.128.,790
|
||||
0.000139523,0.00740261,0.674215,105.315.,537
|
||||
0.000136167,0.00740261,0.661759,104.097.,714
|
||||
0.000190288,0.00740261,0.67647,96.8133.,536
|
||||
0.000122321,0.00740261,0.667716,99.8496.,997
|
||||
0.000152454,0.00740261,0.673331,103.385.,653
|
||||
0.000136288,0.00740261,0.662476,108.874.,435
|
||||
0.000135477,0.00740261,0.658957,112.975.,489
|
||||
0.000118528,0.00740261,0.652968,113.068.,656
|
||||
0.000158042,0.00740261,0.669166,99.4226.,762
|
||||
8.34426e-05,0.00740261,0.669917,115.742.,473
|
||||
0.000103695,0.00740261,0.668814,94.4964.,919
|
||||
0.000111848,0.00740261,0.668306,103.45.,694
|
||||
0.000145773,0.00740261,0.671588,116.123.,468
|
||||
0.000121232,0.00740261,0.664407,98.1676.,742
|
||||
0.000141766,0.00740261,0.659441,105.069.,817
|
||||
0.000132584,0.00740261,0.680023,108.953.,641
|
||||
0.000107048,0.00740261,0.687908,91.997.,1336
|
||||
0.000144664,0.00740261,0.668632,95.3832.,1796
|
||||
0.000162707,0.00740261,0.67518,87.7666.,1475
|
||||
0.000152531,0.00740261,0.673962,97.0353.,1021
|
||||
0.000142111,0.00740261,0.678162,99.1089.,971
|
||||
0.000122117,0.00740261,0.673304,95.5062.,909
|
||||
0.000119921,0.00740261,0.650853,130.854.,465
|
||||
7.23937e-05,0.00740261,0.649618,101.333.,1045
|
||||
0.000139668,0.00740261,0.671239,96.735.,701
|
||||
0.00012961,0.00740261,0.671942,98.5471.,935
|
||||
0.000126957,0.00740261,0.664651,107.22.,929
|
||||
0.000157769,0.00740261,0.660679,97.6237.,917
|
||||
0.000152029,0.00740261,0.662968,105.503.,909
|
||||
9.66919e-05,0.00740261,0.65868,110.648.,599
|
||||
0.000152119,0.00740261,0.675902,95.6589.,779
|
||||
0.0001074,0.00740261,0.665579,98.2938.,755
|
||||
0.000117728,0.00740261,0.662558,103.401.,714
|
||||
0.000111497,0.00740261,0.661687,110.527.,530
|
||||
0.000110637,0.00740261,0.666203,96.7363.,1023
|
||||
0.00013237,0.00740261,0.666233,95.9747.,706
|
||||
0.000125735,0.00740261,0.689224,93.9381.,866
|
||||
0.000133393,0.00740261,0.657839,101.823.,732
|
||||
0.000144244,0.00740261,0.663091,115.05.,1226
|
||||
0.000124349,0.00740261,0.668097,101.306.,1122
|
||||
0.000142602,0.00740261,0.656584,102.493.,631
|
||||
0.000118057,0.00740261,0.662982,94.8579.,875
|
||||
0.000142745,0.00740261,0.67665,108.05.,644
|
||||
0.000165048,0.00740261,0.662857,101.873.,709
|
||||
0.000129561,0.00740261,0.657732,113.606.,609
|
||||
0.000128823,0.00740261,0.668196,97.6295.,754
|
||||
0.000137056,0.00740261,0.682813,94.5646.,1630
|
||||
0.000134364,0.00740261,0.661282,89.2764.,977
|
||||
0.000111668,0.00740261,0.671422,97.445.,885
|
||||
0.000143655,0.00740261,0.656792,101.923.,767
|
||||
0.000101243,0.00740261,0.668738,103.308.,702
|
||||
0.000126643,0.00740261,0.6921,92.9774.,1952
|
||||
0.00016266,0.00740261,0.677012,95.1595.,1241
|
||||
0.000124782,0.00740261,0.669869,101.54.,874
|
||||
0.000111837,0.00740261,0.658483,106.698.,735
|
||||
0.000170519,0.00740261,0.667606,108.192.,865
|
||||
0.000141366,0.00740261,0.657861,101.598.,676
|
||||
0.00014135,0.00740261,0.669907,102.393.,669
|
||||
0.000123703,0.00740261,0.652962,105.018.,689
|
||||
0.000132077,0.00740261,0.66298,94.0851.,991
|
||||
0.000116146,0.00740261,0.669464,97.1255.,1215
|
||||
0.000149136,0.00740261,0.672497,100.425.,740
|
||||
0.000125424,0.00740261,0.67969,100.988.,820
|
||||
9.2974e-05,0.00740261,0.682842,100.096.,858
|
||||
0.00010642,0.00740261,0.667256,95.9289.,859
|
||||
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|
||||
0.000152454,0.00740261,0.673331,103.385,653
|
||||
0.000136288,0.00740261,0.662476,108.874,435
|
||||
0.000135477,0.00740261,0.658957,112.975,489
|
||||
0.000118528,0.00740261,0.652968,113.068,656
|
||||
0.000158042,0.00740261,0.669166,99.4226,762
|
||||
8.34426e-05,0.00740261,0.669917,115.742,473
|
||||
0.000103695,0.00740261,0.668814,94.4964,919
|
||||
0.000111848,0.00740261,0.668306,103.45,694
|
||||
0.000145773,0.00740261,0.671588,116.123,468
|
||||
0.000121232,0.00740261,0.664407,98.1676,742
|
||||
0.000141766,0.00740261,0.659441,105.069,817
|
||||
0.000132584,0.00740261,0.680023,108.953,641
|
||||
0.000107048,0.00740261,0.687908,91.997,1336
|
||||
0.000144664,0.00740261,0.668632,95.3832,1796
|
||||
0.000162707,0.00740261,0.67518,87.7666,1475
|
||||
0.000152531,0.00740261,0.673962,97.0353,1021
|
||||
0.000142111,0.00740261,0.678162,99.1089,971
|
||||
0.000122117,0.00740261,0.673304,95.5062,909
|
||||
0.000119921,0.00740261,0.650853,130.854,465
|
||||
7.23937e-05,0.00740261,0.649618,101.333,1045
|
||||
0.000139668,0.00740261,0.671239,96.735,701
|
||||
0.00012961,0.00740261,0.671942,98.5471,935
|
||||
0.000126957,0.00740261,0.664651,107.22,929
|
||||
0.000157769,0.00740261,0.660679,97.6237,917
|
||||
0.000152029,0.00740261,0.662968,105.503,909
|
||||
9.66919e-05,0.00740261,0.65868,110.648,599
|
||||
0.000152119,0.00740261,0.675902,95.6589,779
|
||||
0.0001074,0.00740261,0.665579,98.2938,755
|
||||
0.000117728,0.00740261,0.662558,103.401,714
|
||||
0.000111497,0.00740261,0.661687,110.527,530
|
||||
0.000110637,0.00740261,0.666203,96.7363,1023
|
||||
0.00013237,0.00740261,0.666233,95.9747,706
|
||||
0.000125735,0.00740261,0.689224,93.9381,866
|
||||
0.000133393,0.00740261,0.657839,101.823,732
|
||||
0.000144244,0.00740261,0.663091,115.05,1226
|
||||
0.000124349,0.00740261,0.668097,101.306,1122
|
||||
0.000142602,0.00740261,0.656584,102.493,631
|
||||
0.000118057,0.00740261,0.662982,94.8579,875
|
||||
0.000142745,0.00740261,0.67665,108.05,644
|
||||
0.000165048,0.00740261,0.662857,101.873,709
|
||||
0.000129561,0.00740261,0.657732,113.606,609
|
||||
0.000128823,0.00740261,0.668196,97.6295,754
|
||||
0.000137056,0.00740261,0.682813,94.5646,1630
|
||||
0.000134364,0.00740261,0.661282,89.2764,977
|
||||
0.000111668,0.00740261,0.671422,97.445,885
|
||||
0.000143655,0.00740261,0.656792,101.923,767
|
||||
0.000101243,0.00740261,0.668738,103.308,702
|
||||
0.000126643,0.00740261,0.6921,92.9774,1952
|
||||
0.00016266,0.00740261,0.677012,95.1595,1241
|
||||
0.000124782,0.00740261,0.669869,101.54,874
|
||||
0.000111837,0.00740261,0.658483,106.698,735
|
||||
0.000170519,0.00740261,0.667606,108.192,865
|
||||
0.000141366,0.00740261,0.657861,101.598,676
|
||||
0.00014135,0.00740261,0.669907,102.393,669
|
||||
0.000123703,0.00740261,0.652962,105.018,689
|
||||
0.000132077,0.00740261,0.66298,94.0851,991
|
||||
0.000116146,0.00740261,0.669464,97.1255,1215
|
||||
0.000149136,0.00740261,0.672497,100.425,740
|
||||
0.000125424,0.00740261,0.67969,100.988,820
|
||||
9.2974e-05,0.00740261,0.682842,100.096,858
|
||||
0.00010642,0.00740261,0.667256,95.9289,859
|
||||
0.000126849,0.00740261,0.674574,89.3173,1455
|
||||
0.000160011,0.00740261,0.652659,103.315,462
|
||||
6.90773e-05,0.0103637,0.696191,105.032,341
|
||||
7.57369e-05,0.0103637,0.693269,91.0336,459
|
||||
5.95909e-05,0.0103637,0.712521,74.0894,1033
|
||||
4.89834e-05,0.0103637,0.705441,77.0829,794
|
||||
8.55427e-05,0.0103637,0.706556,84.9413,770
|
||||
6.69145e-05,0.0103637,0.694754,103.909,501
|
||||
8.78648e-05,0.0103637,0.697778,88.0771,1023
|
||||
4.89849e-05,0.0103637,0.693094,93.4708,847
|
||||
7.05473e-05,0.0103637,0.698525,83.1573,1650
|
||||
6.45204e-05,0.0103637,0.703132,80.9548,760
|
||||
8.39504e-05,0.0103637,0.693773,78.1902,1161
|
||||
8.95153e-05,0.0103637,0.703214,84.7296,755
|
||||
8.94125e-05,0.0103637,0.683541,94.4156,468
|
||||
7.65955e-05,0.0103637,0.699209,84.0696,618
|
||||
8.48235e-05,0.0103637,0.694151,83.4435,893
|
||||
9.25653e-05,0.0103637,0.696425,88.5741,486
|
||||
8.37081e-05,0.0103637,0.705391,77.5017,773
|
||||
9.46274e-05,0.0103637,0.701869,82.8934,558
|
||||
5.84861e-05,0.0103637,0.696648,89.5173,466
|
||||
9.22039e-05,0.0103637,0.712275,92.6297,329
|
||||
0.00012461,0.0103637,0.683813,88.5844,399
|
||||
7.19627e-05,0.0103637,0.700576,82.1173,915
|
||||
7.32875e-05,0.0103637,0.710566,73.2,1200
|
||||
5.93684e-05,0.0103637,0.688111,84.76,694
|
||||
5.17231e-05,0.0103637,0.692695,73.4001,1904
|
||||
4.92345e-05,0.0103637,0.697164,92.3227,651
|
||||
5.09248e-05,0.0103637,0.705689,84.2123,838
|
||||
5.77824e-05,0.0103637,0.695727,84.2583,934
|
||||
6.0101e-05,0.0103637,0.708621,78.5571,890
|
||||
7.71719e-05,0.0103637,0.691677,89.2675,413
|
||||
6.55075e-05,0.0103637,0.713333,81.8836,698
|
||||
0.000101797,0.0103637,0.703862,83.885,976
|
||||
7.79595e-05,0.0103637,0.698338,91.469,560
|
||||
0.000105659,0.0103637,0.696847,81.0534,567
|
||||
8.72629e-05,0.0103637,0.704344,90.3739,964
|
||||
8.31702e-05,0.0103637,0.697422,85.6114,1014
|
||||
8.6789e-05,0.0103637,0.698602,91.687,521
|
||||
7.10164e-05,0.0103637,0.7117,90.1008,429
|
||||
0.000101594,0.0103637,0.702448,89.7677,515
|
||||
0.000103224,0.0103637,0.692531,79.4512,1146
|
||||
8.97257e-05,0.0103637,0.700891,86.5543,643
|
||||
8.25712e-05,0.0103637,0.703818,88.7329,628
|
||||
7.03787e-05,0.0103637,0.702183,91.8764,620
|
||||
5.56783e-05,0.0103637,0.695291,85.9747,514
|
||||
9.51288e-05,0.0103637,0.705779,82.843,486
|
||||
7.92477e-05,0.0103637,0.699163,83.5281,450
|
||||
7.05724e-05,0.0103637,0.698192,78.0961,1108
|
||||
3.93866e-05,0.0103637,0.690332,104.49,396
|
||||
8.71878e-05,0.0103637,0.69152,88.2734,576
|
||||
8.24219e-05,0.0103637,0.69624,102.032,365
|
||||
0.000124221,0.0103637,0.691391,85.7869,626
|
||||
5.84913e-05,0.0103637,0.68327,90.7034,538
|
||||
8.13743e-05,0.0103637,0.708162,89.582,517
|
||||
8.26589e-05,0.0103637,0.697338,83.1789,776
|
||||
7.39471e-05,0.0103637,0.723246,75.4405,980
|
||||
5.31401e-05,0.0103637,0.700546,79.2881,688
|
||||
7.2695e-05,0.0103637,0.701524,86.13,655
|
||||
5.20609e-05,0.0103637,0.708881,85.3256,544
|
||||
8.70549e-05,0.0103637,0.694314,83.3977,1043
|
||||
8.10432e-05,0.0103637,0.698992,84.789,346
|
||||
7.37989e-05,0.0103637,0.701496,88.6137,628
|
||||
8.71038e-05,0.0103637,0.699252,82.1479,722
|
||||
5.45338e-05,0.0103637,0.698811,75.152,1091
|
||||
8.03217e-05,0.0103637,0.705705,82.7487,520
|
||||
5.41156e-05,0.0103637,0.709819,84.791,563
|
||||
5.61967e-05,0.0103637,0.699009,93.4055,421
|
||||
9.10031e-05,0.0103637,0.71564,74.1192,1174
|
||||
8.14274e-05,0.0103637,0.720275,83.2161,659
|
||||
5.95189e-05,0.0103637,0.695324,94.8049,409
|
||||
9.35358e-05,0.0103637,0.69516,72.2744,940
|
||||
9.20895e-05,0.0103637,0.702738,93.935,271
|
||||
5.44486e-05,0.0103637,0.700355,96.7835,658
|
||||
8.01134e-05,0.0103637,0.709106,86.4099,837
|
||||
0.000126472,0.0103637,0.717211,87.3714,238
|
||||
9.41776e-05,0.0103637,0.69913,77.0284,825
|
||||
9.04576e-05,0.0103637,0.68161,74.9314,905
|
||||
5.60715e-05,0.0103637,0.693052,87.7317,586
|
||||
5.48228e-05,0.0103637,0.701331,91.005,426
|
||||
7.2926e-05,0.0103637,0.710403,76.2978,988
|
||||
7.8762e-05,0.0103637,0.688174,84.0268,1029
|
||||
6.12664e-05,0.0103637,0.68999,82.958,723
|
||||
7.71916e-05,0.0103637,0.704695,80.859,877
|
||||
6.14353e-05,0.0103637,0.72228,78.3619,827
|
||||
0.000117261,0.0103637,0.697211,87.6379,627
|
||||
6.42763e-05,0.0103637,0.701242,82.0693,796
|
||||
5.84661e-05,0.0103637,0.701132,75.4678,1262
|
||||
3.73013e-05,0.0103637,0.693116,85.7208,677
|
||||
7.05513e-05,0.0103637,0.722625,78.6163,860
|
||||
5.73876e-05,0.0103637,0.706571,97.2452,392
|
||||
7.54649e-05,0.0103637,0.702395,80.0625,810
|
||||
5.35854e-05,0.0103637,0.706181,85.7072,755
|
||||
8.22107e-05,0.0103637,0.700251,75.0646,1089
|
||||
7.8252e-05,0.0103637,0.684139,82.1324,773
|
||||
8.1221e-05,0.0103637,0.691527,90.3791,611
|
||||
0.000110163,0.0103637,0.702362,99.9413,506
|
||||
5.54961e-05,0.0103637,0.709284,72.5502,882
|
||||
7.37375e-05,0.0103637,0.696269,83.4268,761
|
||||
8.96068e-05,0.0103637,0.707139,87.4954,393
|
||||
5.39211e-05,0.0103637,0.696067,83.3203,762
|
||||
7.70122e-05,0.0103637,0.702879,91.7128,613
|
||||
|
||||
|
301
dokumentation/evolution3d/Xx4x4.error
Normal file
301
dokumentation/evolution3d/Xx4x4.error
Normal file
@ -0,0 +1,301 @@
|
||||
"Evolution error
|
||||
113.016
|
||||
118.796
|
||||
127.157
|
||||
121.613
|
||||
119.539
|
||||
119.512
|
||||
118.285
|
||||
126.579
|
||||
122.512
|
||||
118.473
|
||||
121.998
|
||||
115.313
|
||||
118.034
|
||||
120.003
|
||||
123.494
|
||||
122.989
|
||||
123.757
|
||||
110.67
|
||||
121.232
|
||||
120.979
|
||||
115.394
|
||||
116.928
|
||||
125.294
|
||||
111.635
|
||||
114.681
|
||||
111.935
|
||||
111.392
|
||||
115.346
|
||||
119.055
|
||||
117.452
|
||||
123.379
|
||||
115.053
|
||||
123.994
|
||||
118.576
|
||||
116.894
|
||||
120.129
|
||||
126.708
|
||||
114.595
|
||||
120.056
|
||||
122.057
|
||||
116.846
|
||||
124.35
|
||||
118.43
|
||||
116.574
|
||||
128.474
|
||||
111.111
|
||||
120.004
|
||||
119.866
|
||||
119.676
|
||||
128.957
|
||||
108.467
|
||||
123.353
|
||||
123.301
|
||||
114.838
|
||||
118.611
|
||||
109.616
|
||||
113.565
|
||||
120.01
|
||||
125.441
|
||||
122.541
|
||||
123.169
|
||||
117.344
|
||||
112.674
|
||||
118.787
|
||||
112.061
|
||||
110.262
|
||||
116.504
|
||||
109.607
|
||||
122.198
|
||||
124.527
|
||||
120.886
|
||||
119.176
|
||||
121.081
|
||||
121.038
|
||||
112.392
|
||||
121.148
|
||||
117.053
|
||||
123.651
|
||||
128.446
|
||||
115.527
|
||||
121.456
|
||||
127.418
|
||||
113.541
|
||||
116.805
|
||||
123.244
|
||||
123.095
|
||||
115.9
|
||||
124.024
|
||||
114.685
|
||||
113.428
|
||||
117.456
|
||||
122.15
|
||||
124.576
|
||||
113.63
|
||||
126.608
|
||||
129.916
|
||||
119.673
|
||||
116.233
|
||||
125.086
|
||||
112.897
|
||||
91.4882
|
||||
95.001
|
||||
97.72
|
||||
99.0429
|
||||
102.273
|
||||
98.0028
|
||||
101.929
|
||||
103.969
|
||||
92.5069
|
||||
118.88
|
||||
96.2138
|
||||
100.164
|
||||
95.9282
|
||||
96.3737
|
||||
107.927
|
||||
98.0377
|
||||
94.9011
|
||||
102.223
|
||||
126.177
|
||||
101.879
|
||||
90.0009
|
||||
101.026
|
||||
94.5618
|
||||
99.2481
|
||||
94.1741
|
||||
102.894
|
||||
103.993
|
||||
96.549
|
||||
90.1281
|
||||
104.444
|
||||
104.542
|
||||
107.051
|
||||
102.128
|
||||
105.315
|
||||
104.097
|
||||
96.8133
|
||||
99.8496
|
||||
103.385
|
||||
108.874
|
||||
112.975
|
||||
113.068
|
||||
99.4226
|
||||
115.742
|
||||
94.4964
|
||||
103.45
|
||||
116.123
|
||||
98.1676
|
||||
105.069
|
||||
108.953
|
||||
91.997
|
||||
95.3832
|
||||
87.7666
|
||||
97.0353
|
||||
99.1089
|
||||
95.5062
|
||||
130.854
|
||||
101.333
|
||||
96.735
|
||||
98.5471
|
||||
107.22
|
||||
97.6237
|
||||
105.503
|
||||
110.648
|
||||
95.6589
|
||||
98.2938
|
||||
103.401
|
||||
110.527
|
||||
96.7363
|
||||
95.9747
|
||||
93.9381
|
||||
101.823
|
||||
115.05
|
||||
101.306
|
||||
102.493
|
||||
94.8579
|
||||
108.05
|
||||
101.873
|
||||
113.606
|
||||
97.6295
|
||||
94.5646
|
||||
89.2764
|
||||
97.445
|
||||
101.923
|
||||
103.308
|
||||
92.9774
|
||||
95.1595
|
||||
101.54
|
||||
106.698
|
||||
108.192
|
||||
101.598
|
||||
102.393
|
||||
105.018
|
||||
94.0851
|
||||
97.1255
|
||||
100.425
|
||||
100.988
|
||||
100.096
|
||||
95.9289
|
||||
89.3173
|
||||
103.315
|
||||
105.032
|
||||
91.0336
|
||||
74.0894
|
||||
77.0829
|
||||
84.9413
|
||||
103.909
|
||||
88.0771
|
||||
93.4708
|
||||
83.1573
|
||||
80.9548
|
||||
78.1902
|
||||
84.7296
|
||||
94.4156
|
||||
84.0696
|
||||
83.4435
|
||||
88.5741
|
||||
77.5017
|
||||
82.8934
|
||||
89.5173
|
||||
92.6297
|
||||
88.5844
|
||||
82.1173
|
||||
73.2
|
||||
84.76
|
||||
73.4001
|
||||
92.3227
|
||||
84.2123
|
||||
84.2583
|
||||
78.5571
|
||||
89.2675
|
||||
81.8836
|
||||
83.885
|
||||
91.469
|
||||
81.0534
|
||||
90.3739
|
||||
85.6114
|
||||
91.687
|
||||
90.1008
|
||||
89.7677
|
||||
79.4512
|
||||
86.5543
|
||||
88.7329
|
||||
91.8764
|
||||
85.9747
|
||||
82.843
|
||||
83.5281
|
||||
78.0961
|
||||
104.49
|
||||
88.2734
|
||||
102.032
|
||||
85.7869
|
||||
90.7034
|
||||
89.582
|
||||
83.1789
|
||||
75.4405
|
||||
79.2881
|
||||
86.13
|
||||
85.3256
|
||||
83.3977
|
||||
84.789
|
||||
88.6137
|
||||
82.1479
|
||||
75.152
|
||||
82.7487
|
||||
84.791
|
||||
93.4055
|
||||
74.1192
|
||||
83.2161
|
||||
94.8049
|
||||
72.2744
|
||||
93.935
|
||||
96.7835
|
||||
86.4099
|
||||
87.3714
|
||||
77.0284
|
||||
74.9314
|
||||
87.7317
|
||||
91.005
|
||||
76.2978
|
||||
84.0268
|
||||
82.958
|
||||
80.859
|
||||
78.3619
|
||||
87.6379
|
||||
82.0693
|
||||
75.4678
|
||||
85.7208
|
||||
78.6163
|
||||
97.2452
|
||||
80.0625
|
||||
85.7072
|
||||
75.0646
|
||||
82.1324
|
||||
90.3791
|
||||
99.9413
|
||||
72.5502
|
||||
83.4268
|
||||
87.4954
|
||||
83.3203
|
||||
91.7128
|
||||
@ -1,7 +1,7 @@
|
||||
|
||||
|
||||
*******************************************************************************
|
||||
Mon Oct 16 12:15:22 2017
|
||||
Wed Oct 25 19:14:30 2017
|
||||
|
||||
|
||||
FIT: data read from "Xx4x4.csv" every ::1 using 1:5
|
||||
@ -47,7 +47,7 @@ b -0.934 1.000
|
||||
|
||||
|
||||
*******************************************************************************
|
||||
Mon Oct 16 12:15:22 2017
|
||||
Wed Oct 25 19:14:30 2017
|
||||
|
||||
|
||||
FIT: data read from "Xx4x4.csv" every ::1 using 3:5
|
||||
@ -93,7 +93,7 @@ bb -0.999 1.000
|
||||
|
||||
|
||||
*******************************************************************************
|
||||
Mon Oct 16 12:15:22 2017
|
||||
Wed Oct 25 19:14:30 2017
|
||||
|
||||
|
||||
FIT: data read from "Xx4x4.csv" every ::1 using 3:4
|
||||
@ -139,7 +139,7 @@ bbb -0.999 1.000
|
||||
|
||||
|
||||
*******************************************************************************
|
||||
Mon Oct 16 12:15:22 2017
|
||||
Wed Oct 25 19:14:30 2017
|
||||
|
||||
|
||||
FIT: data read from "Xx4x4.csv" every ::1 using 2:4
|
||||
|
||||
@ -5,22 +5,22 @@ set terminal png
|
||||
set xlabel 'regularity'
|
||||
set ylabel 'steps'
|
||||
set output "Xx4x4_regularity-vs-steps.png"
|
||||
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 1:5 title "4x4x4", "20171013_3dFit_5x4x4_100times.csv" every ::1 using 1:5 title "5x4x4", "20171005_3dFit_7x4x4_100times.csv" every ::1 using 1:5 title "7x4x4", f(x) title "lin. fit" lc rgb "black"
|
||||
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 1:5 title "4x4x4" pt 2, "20171013_3dFit_5x4x4_100times.csv" every ::1 using 1:5 title "5x4x4" pt 2, "20171005_3dFit_7x4x4_100times.csv" every ::1 using 1:5 title "7x4x4" pt 2, f(x) title "lin. fit" lc rgb "black"
|
||||
g(x)=aa*x+bb
|
||||
fit g(x) "Xx4x4.csv" every ::1 using 3:5 via aa,bb
|
||||
set xlabel 'improvement potential'
|
||||
set ylabel 'steps'
|
||||
set output "Xx4x4_improvement-vs-steps.png"
|
||||
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:5 title "4x4x4", "20171013_3dFit_5x4x4_100times.csv" every ::1 using 3:5 title "5x4x4", "20171005_3dFit_7x4x4_100times.csv" every ::1 using 3:5 title "7x4x4", g(x) title "lin. fit" lc rgb "black"
|
||||
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:5 title "4x4x4" pt 2, "20171013_3dFit_5x4x4_100times.csv" every ::1 using 3:5 title "5x4x4" pt 2, "20171005_3dFit_7x4x4_100times.csv" every ::1 using 3:5 title "7x4x4" pt 2, g(x) title "lin. fit" lc rgb "black"
|
||||
h(x)=aaa*x+bbb
|
||||
fit h(x) "Xx4x4.csv" every ::1 using 3:4 via aaa,bbb
|
||||
set xlabel 'improvement potential'
|
||||
set ylabel 'evolution error'
|
||||
set output "Xx4x4_improvement-vs-evo-error.png"
|
||||
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:4 title "4x4x4", "20171013_3dFit_5x4x4_100times.csv" every ::1 using 3:4 title "5x4x4", "20171005_3dFit_7x4x4_100times.csv" every ::1 using 3:4 title "7x4x4", h(x) title "lin. fit" lc rgb "black"
|
||||
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:4 title "4x4x4" pt 2, "20171013_3dFit_5x4x4_100times.csv" every ::1 using 3:4 title "5x4x4" pt 2, "20171005_3dFit_7x4x4_100times.csv" every ::1 using 3:4 title "7x4x4" pt 2, h(x) title "lin. fit" lc rgb "black"
|
||||
i(x)=aaaa*x+bbbb
|
||||
fit i(x) "Xx4x4.csv" every ::1 using 2:4 via aaaa,bbbb
|
||||
set xlabel 'variability'
|
||||
set ylabel 'evolution error'
|
||||
set output "Xx4x4_variability-vs-evo-error.png"
|
||||
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 2:4 title "4x4x4", "20171013_3dFit_5x4x4_100times.csv" every ::1 using 2:4 title "5x4x4", "20171005_3dFit_7x4x4_100times.csv" every ::1 using 2:4 title "7x4x4", i(x) title "lin. fit" lc rgb "black"
|
||||
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 2:4 title "4x4x4" pt 2, "20171013_3dFit_5x4x4_100times.csv" every ::1 using 2:4 title "5x4x4" pt 2, "20171005_3dFit_7x4x4_100times.csv" every ::1 using 2:4 title "7x4x4" pt 2, i(x) title "lin. fit" lc rgb "black"
|
||||
|
||||
9
dokumentation/evolution3d/Xx4x4.mms
Normal file
9
dokumentation/evolution3d/Xx4x4.mms
Normal file
@ -0,0 +1,9 @@
|
||||
[1] "================ Analyzing Xx4x4.csv"
|
||||
[1] "Mean:"
|
||||
[1] 101.9338
|
||||
[1] "Median:"
|
||||
[1] 101.4365
|
||||
[1] "Sigma:"
|
||||
[1] 15.31929
|
||||
[1] "Range:"
|
||||
[1] 72.2744 130.8540
|
||||
49
dokumentation/evolution3d/Xx4x4.spearman
Normal file
49
dokumentation/evolution3d/Xx4x4.spearman
Normal file
@ -0,0 +1,49 @@
|
||||
[1] "================ Analyzing Xx4x4.csv"
|
||||
[1] "spearman for improvement-potential vs. evolution-error"
|
||||
x y
|
||||
x 1.00 -0.89
|
||||
y -0.89 1.00
|
||||
|
||||
n= 300
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0
|
||||
y 0
|
||||
[1] "spearman for improvement-potential vs. steps"
|
||||
x y
|
||||
x 1.00 -0.69
|
||||
y -0.69 1.00
|
||||
|
||||
n= 300
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0
|
||||
y 0
|
||||
[1] "spearman for regularity vs. steps"
|
||||
x y
|
||||
x 1.00 -0.46
|
||||
y -0.46 1.00
|
||||
|
||||
n= 300
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0
|
||||
y 0
|
||||
[1] "spearman for variability vs. evolution-error"
|
||||
x y
|
||||
x 1.0 -0.9
|
||||
y -0.9 1.0
|
||||
|
||||
n= 300
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0
|
||||
y 0
|
||||
Binary file not shown.
|
Before Width: | Height: | Size: 8.7 KiB After Width: | Height: | Size: 9.0 KiB |
Binary file not shown.
|
Before Width: | Height: | Size: 8.2 KiB After Width: | Height: | Size: 8.5 KiB |
Binary file not shown.
|
Before Width: | Height: | Size: 8.5 KiB After Width: | Height: | Size: 8.8 KiB |
Binary file not shown.
|
Before Width: | Height: | Size: 5.7 KiB After Width: | Height: | Size: 5.9 KiB |
311
dokumentation/evolution3d/YxYxY.error
Normal file
311
dokumentation/evolution3d/YxYxY.error
Normal file
@ -0,0 +1,311 @@
|
||||
"Evolution error
|
||||
113.01
|
||||
118.79
|
||||
127.15
|
||||
121.61
|
||||
119.53
|
||||
119.51
|
||||
118.28
|
||||
126.57
|
||||
122.51
|
||||
118.47
|
||||
121.99
|
||||
115.31
|
||||
118.03
|
||||
120.00
|
||||
123.49
|
||||
122.98
|
||||
123.75
|
||||
110.6
|
||||
121.23
|
||||
120.97
|
||||
115.39
|
||||
116.92
|
||||
125.29
|
||||
111.63
|
||||
114.68
|
||||
111.93
|
||||
111.39
|
||||
115.34
|
||||
119.05
|
||||
117.45
|
||||
123.37
|
||||
115.05
|
||||
123.99
|
||||
118.57
|
||||
116.89
|
||||
120.12
|
||||
126.70
|
||||
114.59
|
||||
120.05
|
||||
122.05
|
||||
116.84
|
||||
124.3
|
||||
118.4
|
||||
116.57
|
||||
128.47
|
||||
111.11
|
||||
120.00
|
||||
119.86
|
||||
119.67
|
||||
128.95
|
||||
108.46
|
||||
123.35
|
||||
123.30
|
||||
114.83
|
||||
118.61
|
||||
109.61
|
||||
113.56
|
||||
120.0
|
||||
125.44
|
||||
122.54
|
||||
123.16
|
||||
117.34
|
||||
112.67
|
||||
118.78
|
||||
112.06
|
||||
110.26
|
||||
116.50
|
||||
109.60
|
||||
122.19
|
||||
124.52
|
||||
120.88
|
||||
119.17
|
||||
121.08
|
||||
121.03
|
||||
112.39
|
||||
121.14
|
||||
117.05
|
||||
123.65
|
||||
128.44
|
||||
115.52
|
||||
121.45
|
||||
127.41
|
||||
113.54
|
||||
116.80
|
||||
123.24
|
||||
123.09
|
||||
115.
|
||||
124.02
|
||||
114.68
|
||||
113.42
|
||||
117.45
|
||||
122.1
|
||||
124.57
|
||||
113.6
|
||||
126.60
|
||||
129.91
|
||||
119.67
|
||||
116.23
|
||||
125.08
|
||||
112.89
|
||||
73.962
|
||||
79.330
|
||||
72.837
|
||||
60.003
|
||||
80.132
|
||||
66.152
|
||||
74.603
|
||||
71.316
|
||||
71.937
|
||||
70.12
|
||||
61.719
|
||||
86.610
|
||||
77.23
|
||||
70.305
|
||||
73.326
|
||||
72.860
|
||||
70.586
|
||||
79.885
|
||||
89.16
|
||||
86.350
|
||||
77.828
|
||||
70.41
|
||||
82.388
|
||||
80.325
|
||||
85.661
|
||||
76.237
|
||||
76.806
|
||||
75.025
|
||||
73.629
|
||||
71.814
|
||||
82.117
|
||||
68.422
|
||||
74.562
|
||||
82.429
|
||||
74.656
|
||||
76.587
|
||||
82.282
|
||||
71.32
|
||||
80.188
|
||||
60.002
|
||||
73.567
|
||||
68.754
|
||||
97.415
|
||||
81.163
|
||||
82.274
|
||||
70.41
|
||||
72.56
|
||||
70.196
|
||||
83.850
|
||||
82.362
|
||||
74.328
|
||||
84.210
|
||||
69.774
|
||||
82.137
|
||||
74.281
|
||||
78.98
|
||||
82.281
|
||||
74.061
|
||||
83.25
|
||||
72.45
|
||||
71.955
|
||||
93.815
|
||||
64.560
|
||||
81.59
|
||||
74.894
|
||||
71.93
|
||||
82.842
|
||||
66.082
|
||||
79.822
|
||||
80.220
|
||||
76.728
|
||||
75.286
|
||||
75.638
|
||||
79.307
|
||||
69.574
|
||||
76.494
|
||||
92.763
|
||||
83.393
|
||||
83.894
|
||||
73.560
|
||||
76.880
|
||||
70.70
|
||||
69.149
|
||||
79.653
|
||||
83.401
|
||||
88.580
|
||||
85.829
|
||||
72.544
|
||||
82.285
|
||||
83.824
|
||||
78.384
|
||||
84.606
|
||||
75.766
|
||||
78.425
|
||||
68.399
|
||||
72.152
|
||||
78.054
|
||||
89.114
|
||||
86.805
|
||||
75.205
|
||||
56.942
|
||||
65.867
|
||||
61.697
|
||||
64.185
|
||||
55.120
|
||||
63.449
|
||||
56.850
|
||||
68.788
|
||||
63.133
|
||||
71.616
|
||||
71.103
|
||||
55.091
|
||||
63.10
|
||||
56.797
|
||||
64.003
|
||||
63.272
|
||||
57.770
|
||||
61.995
|
||||
55.968
|
||||
78.096
|
||||
65.565
|
||||
65.529
|
||||
52.816
|
||||
59.649
|
||||
54.186
|
||||
64.437
|
||||
64.63
|
||||
61.12
|
||||
59.653
|
||||
61.056
|
||||
66.629
|
||||
70.468
|
||||
63.483
|
||||
58.255
|
||||
66.012
|
||||
57.823
|
||||
63.763
|
||||
58.072
|
||||
60.965
|
||||
62.239
|
||||
75.092
|
||||
55.202
|
||||
82.525
|
||||
60.459
|
||||
58.19
|
||||
65.212
|
||||
60.096
|
||||
75.388
|
||||
80.380
|
||||
55.266
|
||||
60.072
|
||||
62.338
|
||||
64.281
|
||||
61.703
|
||||
59.373
|
||||
65.762
|
||||
63.354
|
||||
56.931
|
||||
59.263
|
||||
73.352
|
||||
66.355
|
||||
60.246
|
||||
59.997
|
||||
66.07
|
||||
66.998
|
||||
56.122
|
||||
66.765
|
||||
65.50
|
||||
59.530
|
||||
59.776
|
||||
62.193
|
||||
61.246
|
||||
75.860
|
||||
69.803
|
||||
64.107
|
||||
66.44
|
||||
55.949
|
||||
74.218
|
||||
61.807
|
||||
65.216
|
||||
57.295
|
||||
52.018
|
||||
66.304
|
||||
68.997
|
||||
64.429
|
||||
57.303
|
||||
60.843
|
||||
61.587
|
||||
58.955
|
||||
58.081
|
||||
61.849
|
||||
58.890
|
||||
60.533
|
||||
66.948
|
||||
57.794
|
||||
62.523
|
||||
60.641
|
||||
72.343
|
||||
61.193
|
||||
59.778
|
||||
58.532
|
||||
60.322
|
||||
62.10
|
||||
65.345
|
||||
61.611
|
||||
62.142
|
||||
64.164
|
||||
59.235
|
||||
55.098
|
||||
64.696
|
||||
@ -1,7 +1,7 @@
|
||||
|
||||
|
||||
*******************************************************************************
|
||||
Mon Oct 23 12:09:55 2017
|
||||
Wed Oct 25 19:14:34 2017
|
||||
|
||||
|
||||
FIT: data read from "YxYxY.csv" every ::1 using 1:5
|
||||
@ -47,7 +47,7 @@ b -0.937 1.000
|
||||
|
||||
|
||||
*******************************************************************************
|
||||
Mon Oct 23 12:09:55 2017
|
||||
Wed Oct 25 19:14:34 2017
|
||||
|
||||
|
||||
FIT: data read from "YxYxY.csv" every ::1 using 3:5
|
||||
@ -93,7 +93,7 @@ bb -0.994 1.000
|
||||
|
||||
|
||||
*******************************************************************************
|
||||
Mon Oct 23 12:09:55 2017
|
||||
Wed Oct 25 19:14:34 2017
|
||||
|
||||
|
||||
FIT: data read from "YxYxY.csv" every ::1 using 3:4
|
||||
@ -139,7 +139,7 @@ bbb -0.994 1.000
|
||||
|
||||
|
||||
*******************************************************************************
|
||||
Mon Oct 23 12:09:55 2017
|
||||
Wed Oct 25 19:14:34 2017
|
||||
|
||||
|
||||
FIT: data read from "YxYxY.csv" every ::1 using 2:4
|
||||
|
||||
@ -5,22 +5,22 @@ set terminal png
|
||||
set xlabel 'regularity'
|
||||
set ylabel 'steps'
|
||||
set output "YxYxY_regularity-vs-steps.png"
|
||||
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 1:5 title "4x4x4", "20170926_3dFit_5x5x5_100times.csv" every ::1 using 1:5 title "5x5x5", "20171021-evolution3D_6x6_100Times.csv" every ::1 using 1:5 title "6x6x6", f(x) title "lin. fit" lc rgb "black"
|
||||
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 1:5 title "4x4x4" pt 2, "20170926_3dFit_5x5x5_100times.csv" every ::1 using 1:5 title "5x5x5" pt 2, "20171021-evolution3D_6x6_100Times.csv" every ::1 using 1:5 title "6x6x6" pt 2, f(x) title "lin. fit" lc rgb "black"
|
||||
g(x)=aa*x+bb
|
||||
fit g(x) "YxYxY.csv" every ::1 using 3:5 via aa,bb
|
||||
set xlabel 'improvement potential'
|
||||
set ylabel 'steps'
|
||||
set output "YxYxY_improvement-vs-steps.png"
|
||||
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:5 title "4x4x4", "20170926_3dFit_5x5x5_100times.csv" every ::1 using 3:5 title "5x5x5", "20171021-evolution3D_6x6_100Times.csv" every ::1 using 3:5 title "6x6x6", g(x) title "lin. fit" lc rgb "black"
|
||||
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:5 title "4x4x4" pt 2, "20170926_3dFit_5x5x5_100times.csv" every ::1 using 3:5 title "5x5x5" pt 2, "20171021-evolution3D_6x6_100Times.csv" every ::1 using 3:5 title "6x6x6" pt 2, g(x) title "lin. fit" lc rgb "black"
|
||||
h(x)=aaa*x+bbb
|
||||
fit h(x) "YxYxY.csv" every ::1 using 3:4 via aaa,bbb
|
||||
set xlabel 'improvement potential'
|
||||
set ylabel 'evolution error'
|
||||
set output "YxYxY_improvement-vs-evo-error.png"
|
||||
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:4 title "4x4x4", "20170926_3dFit_5x5x5_100times.csv" every ::1 using 3:4 title "5x5x5", "20171021-evolution3D_6x6_100Times.csv" every ::1 using 3:4 title "6x6x6", h(x) title "lin. fit" lc rgb "black"
|
||||
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:4 title "4x4x4" pt 2, "20170926_3dFit_5x5x5_100times.csv" every ::1 using 3:4 title "5x5x5" pt 2, "20171021-evolution3D_6x6_100Times.csv" every ::1 using 3:4 title "6x6x6" pt 2, h(x) title "lin. fit" lc rgb "black"
|
||||
i(x)=aaaa*x+bbbb
|
||||
fit i(x) "YxYxY.csv" every ::1 using 2:4 via aaaa,bbbb
|
||||
set xlabel 'variability'
|
||||
set ylabel 'evolution error'
|
||||
set output "YxYxY_variability-vs-evo-error.png"
|
||||
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 2:4 title "4x4x4", "20170926_3dFit_5x5x5_100times.csv" every ::1 using 2:4 title "5x5x5", "20171021-evolution3D_6x6_100Times.csv" every ::1 using 2:4 title "6x6x6", i(x) title "lin. fit" lc rgb "black"
|
||||
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 2:4 title "4x4x4" pt 2, "20170926_3dFit_5x5x5_100times.csv" every ::1 using 2:4 title "5x5x5" pt 2, "20171021-evolution3D_6x6_100Times.csv" every ::1 using 2:4 title "6x6x6" pt 2, i(x) title "lin. fit" lc rgb "black"
|
||||
|
||||
9
dokumentation/evolution3d/YxYxY.mms
Normal file
9
dokumentation/evolution3d/YxYxY.mms
Normal file
@ -0,0 +1,9 @@
|
||||
[1] "================ Analyzing YxYxY.csv"
|
||||
[1] "Mean:"
|
||||
[1] 85.58962
|
||||
[1] "Median:"
|
||||
[1] 76.04925
|
||||
[1] "Sigma:"
|
||||
[1] 24.66794
|
||||
[1] "Range:"
|
||||
[1] 52.0186 129.9160
|
||||
49
dokumentation/evolution3d/YxYxY.spearman
Normal file
49
dokumentation/evolution3d/YxYxY.spearman
Normal file
@ -0,0 +1,49 @@
|
||||
[1] "================ Analyzing YxYxY.csv"
|
||||
[1] "spearman for improvement-potential vs. evolution-error"
|
||||
x y
|
||||
x 1.00 -0.89
|
||||
y -0.89 1.00
|
||||
|
||||
n= 310
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0
|
||||
y 0
|
||||
[1] "spearman for improvement-potential vs. steps"
|
||||
x y
|
||||
x 1.00 -0.81
|
||||
y -0.81 1.00
|
||||
|
||||
n= 310
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0
|
||||
y 0
|
||||
[1] "spearman for regularity vs. steps"
|
||||
x y
|
||||
x 1.00 0.25
|
||||
y 0.25 1.00
|
||||
|
||||
n= 310
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0
|
||||
y 0
|
||||
[1] "spearman for variability vs. evolution-error"
|
||||
x y
|
||||
x 1.00 -0.91
|
||||
y -0.91 1.00
|
||||
|
||||
n= 310
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0
|
||||
y 0
|
||||
Binary file not shown.
|
Before Width: | Height: | Size: 7.7 KiB After Width: | Height: | Size: 8.0 KiB |
Binary file not shown.
|
Before Width: | Height: | Size: 7.2 KiB After Width: | Height: | Size: 7.6 KiB |
Binary file not shown.
|
Before Width: | Height: | Size: 7.7 KiB After Width: | Height: | Size: 8.2 KiB |
Binary file not shown.
|
Before Width: | Height: | Size: 5.7 KiB After Width: | Height: | Size: 5.9 KiB |
911
dokumentation/evolution3d/all.csv
Normal file
911
dokumentation/evolution3d/all.csv
Normal file
@ -0,0 +1,911 @@
|
||||
regularity,variability,improvement,"Evolution error",steps
|
||||
6.57581e-05,0.00592209,0.622392,113.016,2368
|
||||
5.16451e-05,0.00592209,0.610293,118.796,2433
|
||||
6.45083e-05,0.00592209,0.592139,127.157,1655
|
||||
7.14801e-05,0.00592209,0.624039,121.613,1933
|
||||
5.62707e-05,0.00592209,0.611091,119.539,2618
|
||||
5.55953e-05,0.00592209,0.625812,119.512,2505
|
||||
5.96026e-05,0.00592209,0.622873,118.285,1582
|
||||
6.63676e-05,0.00592209,0.602386,126.579,2214
|
||||
5.93125e-05,0.00592209,0.608913,122.512,2262
|
||||
6.05066e-05,0.00592209,0.621467,118.473,2465
|
||||
6.42976e-05,0.00592209,0.602593,121.998,2127
|
||||
5.32868e-05,0.00592209,0.616501,115.313,2746
|
||||
5.47856e-05,0.00592209,0.615173,118.034,2148
|
||||
6.47209e-05,0.00592209,0.603935,120.003,2304
|
||||
7.07812e-05,0.00592209,0.620422,123.494,1941
|
||||
6.49313e-05,0.00592209,0.616232,122.989,2214
|
||||
6.64295e-05,0.00592209,0.605206,123.757,1675
|
||||
5.88806e-05,0.00592209,0.628055,110.67,2230
|
||||
7.56461e-05,0.00592209,0.625361,121.232,2187
|
||||
4.932e-05,0.00592209,0.612261,120.979,2280
|
||||
5.45998e-05,0.00592209,0.61935,115.394,2380
|
||||
6.10654e-05,0.00592209,0.614029,116.928,2327
|
||||
6.09488e-05,0.00592209,0.611892,125.294,1609
|
||||
5.85691e-05,0.00592209,0.632686,111.635,2831
|
||||
6.87292e-05,0.00592209,0.61519,114.681,2565
|
||||
6.53377e-05,0.00592209,0.627408,111.935,2596
|
||||
6.98345e-05,0.00592209,0.616158,111.392,2417
|
||||
7.90547e-05,0.00592209,0.620575,115.346,2031
|
||||
6.50231e-05,0.00592209,0.625725,119.055,1842
|
||||
6.76541e-05,0.00592209,0.625399,117.452,1452
|
||||
5.72222e-05,0.00592209,0.614171,123.379,2186
|
||||
7.42483e-05,0.00592209,0.624683,115.053,2236
|
||||
6.9354e-05,0.00592209,0.619596,123.994,1688
|
||||
5.75478e-05,0.00592209,0.605051,118.576,1930
|
||||
6.01309e-05,0.00592209,0.617511,116.894,2184
|
||||
6.69251e-05,0.00592209,0.608408,120.129,2007
|
||||
4.66926e-05,0.00592209,0.60606,126.708,1552
|
||||
4.90102e-05,0.00592209,0.618673,114.595,2783
|
||||
5.51505e-05,0.00592209,0.619245,120.056,2463
|
||||
6.1007e-05,0.00592209,0.605215,122.057,1493
|
||||
5.04717e-05,0.00592209,0.623503,116.846,2620
|
||||
6.3578e-05,0.00592209,0.625261,124.35,2193
|
||||
5.8875e-05,0.00592209,0.624526,118.43,2502
|
||||
7.95299e-05,0.00592209,0.611719,116.574,1849
|
||||
6.42733e-05,0.00592209,0.608178,128.474,2078
|
||||
6.41674e-05,0.00592209,0.624042,111.111,2037
|
||||
4.88661e-05,0.00592209,0.615408,120.004,2627
|
||||
7.27714e-05,0.00592209,0.626926,119.866,2128
|
||||
4.84641e-05,0.00592209,0.608054,119.676,2408
|
||||
6.66562e-05,0.00592209,0.603902,128.957,1668
|
||||
5.99872e-05,0.00592209,0.63676,108.467,3448
|
||||
7.73127e-05,0.00592209,0.62232,123.353,1551
|
||||
6.67597e-05,0.00592209,0.621411,123.301,2180
|
||||
5.2819e-05,0.00592209,0.617515,114.838,4096
|
||||
5.29257e-05,0.00592209,0.622611,118.611,1973
|
||||
5.35212e-05,0.00592209,0.62533,109.616,3424
|
||||
7.1947e-05,0.00592209,0.632331,113.565,2905
|
||||
5.04311e-05,0.00592209,0.611559,120.01,2147
|
||||
6.57161e-05,0.00592209,0.617789,125.441,1820
|
||||
5.18695e-05,0.00592209,0.610402,122.541,2430
|
||||
6.47262e-05,0.00592209,0.609141,123.169,1989
|
||||
5.87925e-05,0.00592209,0.61627,117.344,2143
|
||||
4.36904e-05,0.00592209,0.631954,112.674,3526
|
||||
6.45195e-05,0.00592209,0.614402,118.787,1765
|
||||
5.8354e-05,0.00592209,0.615515,112.061,2368
|
||||
7.14669e-05,0.00592209,0.628382,110.262,1923
|
||||
7.24908e-05,0.00592209,0.610848,116.504,1830
|
||||
5.98617e-05,0.00592209,0.622949,109.607,3609
|
||||
5.90411e-05,0.00592209,0.629175,122.198,1859
|
||||
5.25569e-05,0.00592209,0.621253,124.527,1876
|
||||
5.86979e-05,0.00592209,0.612603,120.886,2916
|
||||
4.73113e-05,0.00592209,0.610586,119.176,2072
|
||||
5.8777e-05,0.00592209,0.62863,121.081,2338
|
||||
5.6608e-05,0.00592209,0.617215,121.038,3021
|
||||
5.74614e-05,0.00592209,0.626088,112.392,2182
|
||||
6.86466e-05,0.00592209,0.631893,121.148,2246
|
||||
4.77969e-05,0.00592209,0.635218,117.053,2939
|
||||
5.50553e-05,0.00592209,0.610707,123.651,1417
|
||||
6.89628e-05,0.00592209,0.638474,128.446,1840
|
||||
6.85622e-05,0.00592209,0.620769,115.527,2116
|
||||
5.28017e-05,0.00592209,0.614948,121.456,2178
|
||||
7.06916e-05,0.00592209,0.61804,127.418,2354
|
||||
6.81788e-05,0.00592209,0.616056,113.541,2768
|
||||
7.89711e-05,0.00592209,0.615108,116.805,2293
|
||||
5.84297e-05,0.00592209,0.612733,123.244,2206
|
||||
5.53374e-05,0.00592209,0.605062,123.095,1902
|
||||
5.51739e-05,0.00592209,0.631543,115.9,3145
|
||||
6.9413e-05,0.00592209,0.59103,124.024,1475
|
||||
5.08739e-05,0.00592209,0.621454,114.685,3356
|
||||
5.95256e-05,0.00592209,0.626188,113.428,2336
|
||||
5.63659e-05,0.00592209,0.618554,117.456,2105
|
||||
6.32019e-05,0.00592209,0.616926,122.15,1799
|
||||
6.05333e-05,0.00592209,0.613481,124.576,1873
|
||||
5.35997e-05,0.00592209,0.621122,113.63,2834
|
||||
5.94187e-05,0.00592209,0.606925,126.608,1970
|
||||
6.52182e-05,0.00592209,0.610882,129.916,1246
|
||||
6.78626e-05,0.00592209,0.608581,119.673,2155
|
||||
5.12495e-05,0.00592209,0.6262,116.233,3037
|
||||
6.7083e-05,0.00592209,0.608299,125.086,1595
|
||||
6.74099e-05,0.00592209,0.620429,112.897,2800
|
||||
0.000136559,0.00740261,0.64595,104.911,1607
|
||||
0.000119061,0.00740261,0.648063,102.122,2160
|
||||
0.00014586,0.00740261,0.662359,100.463,1781
|
||||
0.000143911,0.00740261,0.647409,111.329,1435
|
||||
0.000100089,0.00740261,0.660347,104.712,1394
|
||||
0.00019449,0.00740261,0.643112,100.048,1764
|
||||
0.000139001,0.00740261,0.636985,102.05,1923
|
||||
9.23895e-05,0.00740261,0.651932,98.3549,2200
|
||||
0.000151896,0.00740261,0.654589,93.4038,2609
|
||||
9.96526e-05,0.00740261,0.663458,104.028,1515
|
||||
0.000140183,0.00740261,0.655494,102.965,1602
|
||||
0.000146938,0.00740261,0.656983,102.822,1591
|
||||
0.000127648,0.00740261,0.644146,97.9662,2250
|
||||
0.000133108,0.00740261,0.653198,100.341,2206
|
||||
0.000136798,0.00740261,0.639845,109.73,1540
|
||||
0.000101394,0.00740261,0.6633,99.6362,2820
|
||||
0.000125845,0.00740261,0.647015,113.29,1861
|
||||
0.000104427,0.00740261,0.647875,112.572,1198
|
||||
0.000140362,0.00740261,0.669356,86.3175,2124
|
||||
0.000114307,0.00740261,0.669332,91.637,2806
|
||||
9.09613e-05,0.00740261,0.653191,107.27,1502
|
||||
0.000130204,0.00740261,0.651758,110.797,1133
|
||||
0.00014725,0.00740261,0.649409,99.0484,1656
|
||||
0.000110507,0.00740261,0.651763,94.2222,2395
|
||||
0.000153747,0.00740261,0.653734,104.417,2041
|
||||
0.000108131,0.00740261,0.648279,96.4144,2267
|
||||
0.000126425,0.00740261,0.658424,108.23,1793
|
||||
0.00011876,0.00740261,0.658874,98.5045,1906
|
||||
7.79227e-05,0.00740261,0.664063,93.4554,2181
|
||||
0.000124995,0.00740261,0.649892,110.564,1778
|
||||
0.000135721,0.00740261,0.665436,104.082,1365
|
||||
0.000108043,0.00740261,0.665742,95.1024,2120
|
||||
0.00013341,0.00740261,0.654181,100.132,2496
|
||||
0.000107614,0.00740261,0.659173,102.451,2798
|
||||
0.000126198,0.00740261,0.643969,116.302,1655
|
||||
0.000110899,0.00740261,0.660032,98.5173,2555
|
||||
0.000158971,0.00740261,0.641391,104.428,1847
|
||||
0.000156538,0.00740261,0.647057,104.909,2023
|
||||
0.000124514,0.00740261,0.649594,106.289,1776
|
||||
0.000141513,0.00740261,0.650988,106.708,1510
|
||||
0.000138867,0.00740261,0.653552,108.022,1558
|
||||
9.31002e-05,0.00740261,0.648143,97.8253,2547
|
||||
0.00011634,0.00740261,0.659954,114.829,1103
|
||||
0.000104627,0.00740261,0.658879,115.054,1440
|
||||
0.000136417,0.00740261,0.6429,106.6,1345
|
||||
0.00012931,0.00740261,0.63474,105.157,1201
|
||||
0.000107738,0.00740261,0.671551,93.2856,2956
|
||||
0.000114915,0.00740261,0.654224,98.8994,1428
|
||||
0.000104432,0.00740261,0.642969,117.524,1103
|
||||
0.00013635,0.00740261,0.671219,97.0705,2329
|
||||
0.00014468,0.00740261,0.64633,95.9897,1552
|
||||
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||||
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||||
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|
||||
0.000152567,0.00740261,0.66439,98.8101,1297
|
||||
9.48346e-05,0.00740261,0.657038,104.262,2105
|
||||
0.000134127,0.00740261,0.65476,95.1758,2638
|
||||
0.000115945,0.00740261,0.655308,109.61,1354
|
||||
8.95548e-05,0.00740261,0.642705,96.3427,2743
|
||||
0.000177255,0.00740261,0.658675,106.331,1506
|
||||
9.39073e-05,0.00740261,0.655253,103.753,1723
|
||||
0.000118136,0.00740261,0.646319,106.698,1690
|
||||
0.000143213,0.00740261,0.662647,97.9397,1209
|
||||
0.000124885,0.00740261,0.65789,106.656,1534
|
||||
0.000122815,0.00740261,0.673803,102.299,1433
|
||||
0.00011158,0.00740261,0.652635,104.71,1827
|
||||
0.000143072,0.00740261,0.651031,99.6516,1526
|
||||
0.000121757,0.00740261,0.681384,85.3402,4935
|
||||
9.94695e-05,0.00740261,0.651079,103.875,2087
|
||||
0.000161101,0.00740261,0.654378,99.7871,1947
|
||||
0.000122246,0.00740261,0.65679,99.823,2190
|
||||
0.000147347,0.00740261,0.6422,110.554,1301
|
||||
0.000112197,0.00740261,0.654611,114.952,998
|
||||
0.00011529,0.00740261,0.643761,99.7046,1245
|
||||
0.000161519,0.00740261,0.653702,96.1227,2219
|
||||
0.000137877,0.00740261,0.646996,94.9822,3061
|
||||
0.000113204,0.00740261,0.629358,109.207,1124
|
||||
0.000160504,0.00740261,0.643509,106.855,1157
|
||||
0.000115618,0.00740261,0.667462,110.589,1601
|
||||
0.000155458,0.00740261,0.663885,96.4926,1549
|
||||
0.00012474,0.00740261,0.64672,104.201,1704
|
||||
0.000147478,0.00740261,0.656898,95.364,2012
|
||||
0.000134001,0.00740261,0.648474,95.9782,1790
|
||||
0.00013438,0.00740261,0.648077,109.152,1449
|
||||
0.000140607,0.00740261,0.640552,99.7984,1505
|
||||
0.000107889,0.00740261,0.663999,106.249,1998
|
||||
0.000149274,0.00740261,0.662709,91.3925,1790
|
||||
0.000121329,0.00740261,0.647837,102.095,2291
|
||||
0.000104416,0.00740261,0.663697,108.615,1725
|
||||
0.000103746,0.00740261,0.656774,100.235,2358
|
||||
9.74274e-05,0.00740261,0.655777,102.616,2110
|
||||
9.50543e-05,0.00740261,0.639904,114.163,1233
|
||||
0.000151294,0.00740261,0.645149,107.106,1845
|
||||
0.000134623,0.00740261,0.657907,94.8621,1577
|
||||
8.51088e-05,0.00740261,0.66594,91.0518,2146
|
||||
0.000131458,0.00740261,0.642009,112.361,1165
|
||||
0.000162778,0.00740261,0.642773,119.675,1364
|
||||
0.000113733,0.00740261,0.652888,102.147,2012
|
||||
0.000119502,0.00740261,0.65036,103.006,1817
|
||||
0.000123499,0.00740261,0.642794,104.759,1498
|
||||
7.33021e-05,0.0103637,0.695354,85.1149,1998
|
||||
9.86305e-05,0.0103637,0.696996,82.2095,2127
|
||||
9.13367e-05,0.0103637,0.699654,93.8283,1339
|
||||
5.75201e-05,0.0103637,0.685872,99.4121,1936
|
||||
8.29441e-05,0.0103637,0.689831,84.7928,1570
|
||||
8.37538e-05,0.0103637,0.687731,89.4784,1535
|
||||
7.72656e-05,0.0103637,0.692668,98.0445,1478
|
||||
5.69885e-05,0.0103637,0.686888,82.4413,2455
|
||||
7.94244e-05,0.0103637,0.690775,95.9898,1700
|
||||
9.02474e-05,0.0103637,0.702276,82.9514,1923
|
||||
7.38352e-05,0.0103637,0.679235,95.6417,1518
|
||||
0.000106945,0.0103637,0.68402,97.597,1496
|
||||
7.83009e-05,0.0103637,0.693436,92.8455,2190
|
||||
4.40066e-05,0.0103637,0.683834,87.554,2604
|
||||
0.000109585,0.0103637,0.689338,88.0962,1754
|
||||
8.75302e-05,0.0103637,0.6934,92.764,1940
|
||||
6.00375e-05,0.0103637,0.700927,92.6177,1908
|
||||
6.18399e-05,0.0103637,0.683082,91.9667,1509
|
||||
0.000116728,0.0103637,0.700828,82.2732,1821
|
||||
9.10256e-05,0.0103637,0.692394,94.741,1626
|
||||
8.72593e-05,0.0103637,0.685888,87.4631,1578
|
||||
8.07573e-05,0.0103637,0.686368,99.0457,1287
|
||||
5.47625e-05,0.0103637,0.70257,83.0585,3707
|
||||
9.642e-05,0.0103637,0.690792,87.7612,1962
|
||||
5.6002e-05,0.0103637,0.697936,92.4952,2188
|
||||
9.19145e-05,0.0103637,0.696617,87.4672,1709
|
||||
9.30803e-05,0.0103637,0.69225,85.5196,1738
|
||||
5.5693e-05,0.0103637,0.70504,96.1244,1800
|
||||
5.53709e-05,0.0103637,0.688722,80.3879,2687
|
||||
0.000103781,0.0103637,0.702795,88.557,1964
|
||||
9.48859e-05,0.0103637,0.707829,80.9192,1809
|
||||
5.9123e-05,0.0103637,0.692679,88.0159,2308
|
||||
0.000104426,0.0103637,0.687809,92.5849,1592
|
||||
7.17017e-05,0.0103637,0.688038,95.6485,1590
|
||||
9.04185e-05,0.0103637,0.696046,82.6378,2400
|
||||
8.52955e-05,0.0103637,0.68677,86.2912,1972
|
||||
6.0231e-05,0.0103637,0.692419,87.6295,2138
|
||||
6.19528e-05,0.0103637,0.677021,93.7818,2474
|
||||
4.86728e-05,0.0103637,0.695779,81.2872,1966
|
||||
0.000112679,0.0103637,0.683283,92.884,1525
|
||||
3.35026e-05,0.0103637,0.693536,85.1577,2834
|
||||
0.000111562,0.0103637,0.701278,82.4601,1494
|
||||
5.60467e-05,0.0103637,0.693734,88.7562,2850
|
||||
8.91618e-05,0.0103637,0.695836,85.7044,1825
|
||||
5.86723e-05,0.0103637,0.695234,90.0389,1775
|
||||
0.000124082,0.0103637,0.693874,90.6256,1832
|
||||
7.59202e-05,0.0103637,0.695028,86.5225,1412
|
||||
9.78369e-05,0.0103637,0.691068,93.0686,1522
|
||||
0.000133166,0.0103637,0.70704,86.9607,2158
|
||||
6.94058e-05,0.0103637,0.687931,91.6042,2246
|
||||
6.23195e-05,0.0103637,0.686537,100.349,1409
|
||||
5.2505e-05,0.0103637,0.695303,78.4994,3239
|
||||
0.000118392,0.0103637,0.689132,89.8504,1612
|
||||
9.63249e-05,0.0103637,0.687783,83.6403,2080
|
||||
5.99358e-05,0.0103637,0.690797,101.654,1713
|
||||
7.13858e-05,0.0103637,0.696033,99.3329,1566
|
||||
8.29146e-05,0.0103637,0.694109,92.788,1932
|
||||
6.941e-05,0.0103637,0.689276,83.6513,2264
|
||||
7.01229e-05,0.0103637,0.685375,85.7803,2056
|
||||
6.00461e-05,0.0103637,0.694496,83.9198,2334
|
||||
7.17098e-05,0.0103637,0.691257,97.1194,1678
|
||||
5.56866e-05,0.0103637,0.693604,86.66,3172
|
||||
8.57536e-05,0.0103637,0.696875,95.519,1736
|
||||
5.44961e-05,0.0103637,0.705914,94.3315,2152
|
||||
0.00010223,0.0103637,0.696688,89.9138,1796
|
||||
8.7968e-05,0.0103637,0.70126,89.7127,1584
|
||||
5.85877e-05,0.0103637,0.685943,88.7631,2666
|
||||
8.37385e-05,0.0103637,0.687253,86.5084,1413
|
||||
6.09753e-05,0.0103637,0.684085,93.2268,2400
|
||||
6.68336e-05,0.0103637,0.695989,86.4354,2138
|
||||
7.2593e-05,0.0103637,0.687196,91.7037,1767
|
||||
7.43132e-05,0.0103637,0.68878,89.9394,1454
|
||||
6.50205e-05,0.0103637,0.694766,82.762,2376
|
||||
6.27443e-05,0.0103637,0.689244,81.379,2775
|
||||
9.78857e-05,0.0103637,0.6923,80.2224,2365
|
||||
5.53248e-05,0.0103637,0.690217,79.8926,3130
|
||||
8.19988e-05,0.0103637,0.680978,95.5281,1393
|
||||
8.39435e-05,0.0103637,0.696348,87.6941,1657
|
||||
7.80363e-05,0.0103637,0.688069,101.649,1615
|
||||
0.000108058,0.0103637,0.703279,85.3415,2047
|
||||
8.591e-05,0.0103637,0.70373,86.2938,2134
|
||||
0.000100807,0.0103637,0.688379,101.265,1184
|
||||
6.81251e-05,0.0103637,0.690025,84.5136,1942
|
||||
0.000100306,0.0103637,0.694876,90.5252,1811
|
||||
7.43149e-05,0.0103637,0.681349,90.4494,2383
|
||||
6.54223e-05,0.0103637,0.691461,94.5348,1662
|
||||
4.00803e-05,0.0103637,0.697672,77.2599,2960
|
||||
7.43768e-05,0.0103637,0.686236,89.5657,2487
|
||||
0.000116654,0.0103637,0.703829,78.0427,2381
|
||||
4.85051e-05,0.0103637,0.685997,91.3327,2003
|
||||
5.55332e-05,0.0103637,0.691656,116.609,1170
|
||||
6.60943e-05,0.0103637,0.693062,83.6798,1744
|
||||
5.83277e-05,0.0103637,0.692641,89.0655,2169
|
||||
9.19515e-05,0.0103637,0.696555,82.225,2525
|
||||
8.81229e-05,0.0103637,0.68317,90.5327,2012
|
||||
5.85726e-05,0.0103637,0.692007,78.9694,2646
|
||||
9.00751e-05,0.0103637,0.696617,83.061,2168
|
||||
9.74536e-05,0.0103637,0.701995,97.7498,1565
|
||||
8.15851e-05,0.0103637,0.693622,87.9928,1602
|
||||
0.000105786,0.0103637,0.702003,83.4737,1711
|
||||
6.57581e-05,0.00592209,0.622392,113.016,2368
|
||||
5.16451e-05,0.00592209,0.610293,118.796,2433
|
||||
6.45083e-05,0.00592209,0.592139,127.157,1655
|
||||
7.14801e-05,0.00592209,0.624039,121.613,1933
|
||||
5.62707e-05,0.00592209,0.611091,119.539,2618
|
||||
5.55953e-05,0.00592209,0.625812,119.512,2505
|
||||
5.96026e-05,0.00592209,0.622873,118.285,1582
|
||||
6.63676e-05,0.00592209,0.602386,126.579,2214
|
||||
5.93125e-05,0.00592209,0.608913,122.512,2262
|
||||
6.05066e-05,0.00592209,0.621467,118.473,2465
|
||||
6.42976e-05,0.00592209,0.602593,121.998,2127
|
||||
5.32868e-05,0.00592209,0.616501,115.313,2746
|
||||
5.47856e-05,0.00592209,0.615173,118.034,2148
|
||||
6.47209e-05,0.00592209,0.603935,120.003,2304
|
||||
7.07812e-05,0.00592209,0.620422,123.494,1941
|
||||
6.49313e-05,0.00592209,0.616232,122.989,2214
|
||||
6.64295e-05,0.00592209,0.605206,123.757,1675
|
||||
5.88806e-05,0.00592209,0.628055,110.67,2230
|
||||
7.56461e-05,0.00592209,0.625361,121.232,2187
|
||||
4.932e-05,0.00592209,0.612261,120.979,2280
|
||||
5.45998e-05,0.00592209,0.61935,115.394,2380
|
||||
6.10654e-05,0.00592209,0.614029,116.928,2327
|
||||
6.09488e-05,0.00592209,0.611892,125.294,1609
|
||||
5.85691e-05,0.00592209,0.632686,111.635,2831
|
||||
6.87292e-05,0.00592209,0.61519,114.681,2565
|
||||
6.53377e-05,0.00592209,0.627408,111.935,2596
|
||||
6.98345e-05,0.00592209,0.616158,111.392,2417
|
||||
7.90547e-05,0.00592209,0.620575,115.346,2031
|
||||
6.50231e-05,0.00592209,0.625725,119.055,1842
|
||||
6.76541e-05,0.00592209,0.625399,117.452,1452
|
||||
5.72222e-05,0.00592209,0.614171,123.379,2186
|
||||
7.42483e-05,0.00592209,0.624683,115.053,2236
|
||||
6.9354e-05,0.00592209,0.619596,123.994,1688
|
||||
5.75478e-05,0.00592209,0.605051,118.576,1930
|
||||
6.01309e-05,0.00592209,0.617511,116.894,2184
|
||||
6.69251e-05,0.00592209,0.608408,120.129,2007
|
||||
4.66926e-05,0.00592209,0.60606,126.708,1552
|
||||
4.90102e-05,0.00592209,0.618673,114.595,2783
|
||||
5.51505e-05,0.00592209,0.619245,120.056,2463
|
||||
6.1007e-05,0.00592209,0.605215,122.057,1493
|
||||
5.04717e-05,0.00592209,0.623503,116.846,2620
|
||||
6.3578e-05,0.00592209,0.625261,124.35,2193
|
||||
5.8875e-05,0.00592209,0.624526,118.43,2502
|
||||
7.95299e-05,0.00592209,0.611719,116.574,1849
|
||||
6.42733e-05,0.00592209,0.608178,128.474,2078
|
||||
6.41674e-05,0.00592209,0.624042,111.111,2037
|
||||
4.88661e-05,0.00592209,0.615408,120.004,2627
|
||||
7.27714e-05,0.00592209,0.626926,119.866,2128
|
||||
4.84641e-05,0.00592209,0.608054,119.676,2408
|
||||
6.66562e-05,0.00592209,0.603902,128.957,1668
|
||||
5.99872e-05,0.00592209,0.63676,108.467,3448
|
||||
7.73127e-05,0.00592209,0.62232,123.353,1551
|
||||
6.67597e-05,0.00592209,0.621411,123.301,2180
|
||||
5.2819e-05,0.00592209,0.617515,114.838,4096
|
||||
5.29257e-05,0.00592209,0.622611,118.611,1973
|
||||
5.35212e-05,0.00592209,0.62533,109.616,3424
|
||||
7.1947e-05,0.00592209,0.632331,113.565,2905
|
||||
5.04311e-05,0.00592209,0.611559,120.01,2147
|
||||
6.57161e-05,0.00592209,0.617789,125.441,1820
|
||||
5.18695e-05,0.00592209,0.610402,122.541,2430
|
||||
6.47262e-05,0.00592209,0.609141,123.169,1989
|
||||
5.87925e-05,0.00592209,0.61627,117.344,2143
|
||||
4.36904e-05,0.00592209,0.631954,112.674,3526
|
||||
6.45195e-05,0.00592209,0.614402,118.787,1765
|
||||
5.8354e-05,0.00592209,0.615515,112.061,2368
|
||||
7.14669e-05,0.00592209,0.628382,110.262,1923
|
||||
7.24908e-05,0.00592209,0.610848,116.504,1830
|
||||
5.98617e-05,0.00592209,0.622949,109.607,3609
|
||||
5.90411e-05,0.00592209,0.629175,122.198,1859
|
||||
5.25569e-05,0.00592209,0.621253,124.527,1876
|
||||
5.86979e-05,0.00592209,0.612603,120.886,2916
|
||||
4.73113e-05,0.00592209,0.610586,119.176,2072
|
||||
5.8777e-05,0.00592209,0.62863,121.081,2338
|
||||
5.6608e-05,0.00592209,0.617215,121.038,3021
|
||||
5.74614e-05,0.00592209,0.626088,112.392,2182
|
||||
6.86466e-05,0.00592209,0.631893,121.148,2246
|
||||
4.77969e-05,0.00592209,0.635218,117.053,2939
|
||||
5.50553e-05,0.00592209,0.610707,123.651,1417
|
||||
6.89628e-05,0.00592209,0.638474,128.446,1840
|
||||
6.85622e-05,0.00592209,0.620769,115.527,2116
|
||||
5.28017e-05,0.00592209,0.614948,121.456,2178
|
||||
7.06916e-05,0.00592209,0.61804,127.418,2354
|
||||
6.81788e-05,0.00592209,0.616056,113.541,2768
|
||||
7.89711e-05,0.00592209,0.615108,116.805,2293
|
||||
5.84297e-05,0.00592209,0.612733,123.244,2206
|
||||
5.53374e-05,0.00592209,0.605062,123.095,1902
|
||||
5.51739e-05,0.00592209,0.631543,115.9,3145
|
||||
6.9413e-05,0.00592209,0.59103,124.024,1475
|
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|
||||
5.12023e-05,0.019987,0.818101,61.2462,463
|
||||
5.40361e-05,0.019987,0.812991,75.8608,319
|
||||
6.30794e-05,0.019987,0.81467,69.8036,417
|
||||
5.08535e-05,0.019987,0.812769,64.1075,567
|
||||
5.70836e-05,0.019987,0.821128,66.444,419
|
||||
5.12706e-05,0.019987,0.826058,55.9495,596
|
||||
5.15447e-05,0.019987,0.824358,74.2188,617
|
||||
5.50095e-05,0.019987,0.808441,61.8076,343
|
||||
5.22578e-05,0.019987,0.826867,65.2168,445
|
||||
5.57071e-05,0.019987,0.814731,57.2958,473
|
||||
5.8164e-05,0.019987,0.811804,52.0186,649
|
||||
4.83922e-05,0.019987,0.812076,66.3049,386
|
||||
5.68428e-05,0.019987,0.818022,68.9979,485
|
||||
5.56237e-05,0.019987,0.828738,64.4292,587
|
||||
5.75105e-05,0.019987,0.812075,57.3039,681
|
||||
4.43022e-05,0.019987,0.821805,60.8438,440
|
||||
6.01032e-05,0.019987,0.818629,61.5872,452
|
||||
5.0508e-05,0.019987,0.823783,58.9557,505
|
||||
5.30727e-05,0.019987,0.824292,58.0811,515
|
||||
5.77523e-05,0.019987,0.810299,61.8499,662
|
||||
5.4172e-05,0.019987,0.817539,58.8907,516
|
||||
5.48127e-05,0.019987,0.810484,60.5339,607
|
||||
5.55181e-05,0.019987,0.818503,66.9486,408
|
||||
5.62617e-05,0.019987,0.826397,57.7944,720
|
||||
4.60446e-05,0.019987,0.82628,62.5237,605
|
||||
5.49339e-05,0.019987,0.820646,60.6411,411
|
||||
6.71911e-05,0.019987,0.814597,72.3431,372
|
||||
5.07036e-05,0.019987,0.811846,61.1932,503
|
||||
5.71656e-05,0.019987,0.807624,59.7782,506
|
||||
5.68834e-05,0.019987,0.810044,58.5321,460
|
||||
4.6687e-05,0.019987,0.824431,60.3221,726
|
||||
6.41573e-05,0.019987,0.80597,62.104,504
|
||||
5.31651e-05,0.019987,0.825726,65.3453,367
|
||||
5.70612e-05,0.019987,0.823074,61.6116,745
|
||||
5.58052e-05,0.019987,0.818552,62.1421,411
|
||||
4.92271e-05,0.019987,0.813883,64.1642,561
|
||||
5.11719e-05,0.019987,0.815262,59.2356,499
|
||||
6.10619e-05,0.019987,0.817943,55.0987,1004
|
||||
4.4631e-05,0.019987,0.805461,64.6963,474
|
||||
|
184
dokumentation/evolution3d/all.gnuplot.fit.log
Normal file
184
dokumentation/evolution3d/all.gnuplot.fit.log
Normal file
@ -0,0 +1,184 @@
|
||||
|
||||
|
||||
*******************************************************************************
|
||||
Wed Oct 25 19:09:05 2017
|
||||
|
||||
|
||||
FIT: data read from "all.csv" every ::1 using 1:5
|
||||
format = x:z
|
||||
#datapoints = 910
|
||||
residuals are weighted equally (unit weight)
|
||||
|
||||
function used for fitting: f(x)
|
||||
fitted parameters initialized with current variable values
|
||||
|
||||
|
||||
|
||||
Iteration 0
|
||||
WSSR : 2.69952e+09 delta(WSSR)/WSSR : 0
|
||||
delta(WSSR) : 0 limit for stopping : 1e-05
|
||||
lambda : 0.707107
|
||||
|
||||
initial set of free parameter values
|
||||
|
||||
a = 1
|
||||
b = 1
|
||||
|
||||
After 6 iterations the fit converged.
|
||||
final sum of squares of residuals : 5.77426e+08
|
||||
rel. change during last iteration : -1.48436e-07
|
||||
|
||||
degrees of freedom (FIT_NDF) : 908
|
||||
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 797.454
|
||||
variance of residuals (reduced chisquare) = WSSR/ndf : 635932
|
||||
|
||||
Final set of parameters Asymptotic Standard Error
|
||||
======================= ==========================
|
||||
|
||||
a = -5.38736e+06 +/- 8.165e+05 (15.16%)
|
||||
b = 1966.44 +/- 72.92 (3.708%)
|
||||
|
||||
|
||||
correlation matrix of the fit parameters:
|
||||
|
||||
a b
|
||||
a 1.000
|
||||
b -0.932 1.000
|
||||
|
||||
|
||||
*******************************************************************************
|
||||
Wed Oct 25 19:09:05 2017
|
||||
|
||||
|
||||
FIT: data read from "all.csv" every ::1 using 3:5
|
||||
format = x:z
|
||||
#datapoints = 910
|
||||
residuals are weighted equally (unit weight)
|
||||
|
||||
function used for fitting: g(x)
|
||||
fitted parameters initialized with current variable values
|
||||
|
||||
|
||||
|
||||
Iteration 0
|
||||
WSSR : 2.6977e+09 delta(WSSR)/WSSR : 0
|
||||
delta(WSSR) : 0 limit for stopping : 1e-05
|
||||
lambda : 0.857335
|
||||
|
||||
initial set of free parameter values
|
||||
|
||||
aa = 1
|
||||
bb = 1
|
||||
|
||||
After 3 iterations the fit converged.
|
||||
final sum of squares of residuals : 3.3878e+08
|
||||
rel. change during last iteration : -3.41053e-07
|
||||
|
||||
degrees of freedom (FIT_NDF) : 908
|
||||
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 610.824
|
||||
variance of residuals (reduced chisquare) = WSSR/ndf : 373106
|
||||
|
||||
Final set of parameters Asymptotic Standard Error
|
||||
======================= ==========================
|
||||
|
||||
aa = -8301.78 +/- 310.7 (3.743%)
|
||||
bb = 7184 +/- 213 (2.965%)
|
||||
|
||||
|
||||
correlation matrix of the fit parameters:
|
||||
|
||||
aa bb
|
||||
aa 1.000
|
||||
bb -0.995 1.000
|
||||
|
||||
|
||||
*******************************************************************************
|
||||
Wed Oct 25 19:09:05 2017
|
||||
|
||||
|
||||
FIT: data read from "all.csv" every ::1 using 3:4
|
||||
format = x:z
|
||||
#datapoints = 910
|
||||
residuals are weighted equally (unit weight)
|
||||
|
||||
function used for fitting: h(x)
|
||||
fitted parameters initialized with current variable values
|
||||
|
||||
|
||||
|
||||
Iteration 0
|
||||
WSSR : 8.64029e+06 delta(WSSR)/WSSR : 0
|
||||
delta(WSSR) : 0 limit for stopping : 1e-05
|
||||
lambda : 0.857335
|
||||
|
||||
initial set of free parameter values
|
||||
|
||||
aaa = 1
|
||||
bbb = 1
|
||||
|
||||
After 3 iterations the fit converged.
|
||||
final sum of squares of residuals : 44319.2
|
||||
rel. change during last iteration : -3.6749e-06
|
||||
|
||||
degrees of freedom (FIT_NDF) : 908
|
||||
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.98639
|
||||
variance of residuals (reduced chisquare) = WSSR/ndf : 48.8097
|
||||
|
||||
Final set of parameters Asymptotic Standard Error
|
||||
======================= ==========================
|
||||
|
||||
aaa = -292.832 +/- 3.554 (1.214%)
|
||||
bbb = 296.825 +/- 2.437 (0.8209%)
|
||||
|
||||
|
||||
correlation matrix of the fit parameters:
|
||||
|
||||
aaa bbb
|
||||
aaa 1.000
|
||||
bbb -0.995 1.000
|
||||
|
||||
|
||||
*******************************************************************************
|
||||
Wed Oct 25 19:09:05 2017
|
||||
|
||||
|
||||
FIT: data read from "all.csv" every ::1 using 2:4
|
||||
format = x:z
|
||||
#datapoints = 910
|
||||
residuals are weighted equally (unit weight)
|
||||
|
||||
function used for fitting: i(x)
|
||||
fitted parameters initialized with current variable values
|
||||
|
||||
|
||||
|
||||
Iteration 0
|
||||
WSSR : 8.75529e+06 delta(WSSR)/WSSR : 0
|
||||
delta(WSSR) : 0 limit for stopping : 1e-05
|
||||
lambda : 0.707146
|
||||
|
||||
initial set of free parameter values
|
||||
|
||||
aaaa = 1
|
||||
bbbb = 1
|
||||
|
||||
After 4 iterations the fit converged.
|
||||
final sum of squares of residuals : 84605.2
|
||||
rel. change during last iteration : -1.31864e-06
|
||||
|
||||
degrees of freedom (FIT_NDF) : 908
|
||||
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.65285
|
||||
variance of residuals (reduced chisquare) = WSSR/ndf : 93.1775
|
||||
|
||||
Final set of parameters Asymptotic Standard Error
|
||||
======================= ==========================
|
||||
|
||||
aaaa = -4091.03 +/- 73.19 (1.789%)
|
||||
bbbb = 136.014 +/- 0.7684 (0.5649%)
|
||||
|
||||
|
||||
correlation matrix of the fit parameters:
|
||||
|
||||
aaaa bbbb
|
||||
aaaa 1.000
|
||||
bbbb -0.909 1.000
|
||||
304
dokumentation/evolution3d/all.gnuplot.log
Normal file
304
dokumentation/evolution3d/all.gnuplot.log
Normal file
@ -0,0 +1,304 @@
|
||||
|
||||
|
||||
Iteration 0
|
||||
WSSR : 2.69952e+09 delta(WSSR)/WSSR : 0
|
||||
delta(WSSR) : 0 limit for stopping : 1e-05
|
||||
lambda : 0.707107
|
||||
|
||||
initial set of free parameter values
|
||||
|
||||
a = 1
|
||||
b = 1
|
||||
/
|
||||
|
||||
Iteration 1
|
||||
WSSR : 6.0511e+08 delta(WSSR)/WSSR : -3.4612
|
||||
delta(WSSR) : -2.09441e+09 limit for stopping : 1e-05
|
||||
lambda : 0.0707107
|
||||
|
||||
resultant parameter values
|
||||
|
||||
a = -9.15081
|
||||
b = 1517.25
|
||||
/
|
||||
|
||||
Iteration 2
|
||||
WSSR : 6.05099e+08 delta(WSSR)/WSSR : -1.84933e-05
|
||||
delta(WSSR) : -11190.3 limit for stopping : 1e-05
|
||||
lambda : 0.00707107
|
||||
|
||||
resultant parameter values
|
||||
|
||||
a = -1036.65
|
||||
b = 1518.17
|
||||
/
|
||||
|
||||
Iteration 3
|
||||
WSSR : 6.04072e+08 delta(WSSR)/WSSR : -0.00169898
|
||||
delta(WSSR) : -1.02631e+06 limit for stopping : 1e-05
|
||||
lambda : 0.000707107
|
||||
|
||||
resultant parameter values
|
||||
|
||||
a = -101864
|
||||
b = 1526.56
|
||||
/
|
||||
|
||||
Iteration 4
|
||||
WSSR : 5.80578e+08 delta(WSSR)/WSSR : -0.040467
|
||||
delta(WSSR) : -2.34943e+07 limit for stopping : 1e-05
|
||||
lambda : 7.07107e-05
|
||||
|
||||
resultant parameter values
|
||||
|
||||
a = -3.56955e+06
|
||||
b = 1815.15
|
||||
/
|
||||
|
||||
Iteration 5
|
||||
WSSR : 5.77427e+08 delta(WSSR)/WSSR : -0.00545821
|
||||
delta(WSSR) : -3.15172e+06 limit for stopping : 1e-05
|
||||
lambda : 7.07107e-06
|
||||
|
||||
resultant parameter values
|
||||
|
||||
a = -5.37788e+06
|
||||
b = 1965.65
|
||||
/
|
||||
|
||||
Iteration 6
|
||||
WSSR : 5.77426e+08 delta(WSSR)/WSSR : -1.48436e-07
|
||||
delta(WSSR) : -85.7109 limit for stopping : 1e-05
|
||||
lambda : 7.07107e-07
|
||||
|
||||
resultant parameter values
|
||||
|
||||
a = -5.38736e+06
|
||||
b = 1966.44
|
||||
|
||||
After 6 iterations the fit converged.
|
||||
final sum of squares of residuals : 5.77426e+08
|
||||
rel. change during last iteration : -1.48436e-07
|
||||
|
||||
degrees of freedom (FIT_NDF) : 908
|
||||
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 797.454
|
||||
variance of residuals (reduced chisquare) = WSSR/ndf : 635932
|
||||
|
||||
Final set of parameters Asymptotic Standard Error
|
||||
======================= ==========================
|
||||
|
||||
a = -5.38736e+06 +/- 8.165e+05 (15.16%)
|
||||
b = 1966.44 +/- 72.92 (3.708%)
|
||||
|
||||
|
||||
correlation matrix of the fit parameters:
|
||||
|
||||
a b
|
||||
a 1.000
|
||||
b -0.932 1.000
|
||||
|
||||
|
||||
Iteration 0
|
||||
WSSR : 2.6977e+09 delta(WSSR)/WSSR : 0
|
||||
delta(WSSR) : 0 limit for stopping : 1e-05
|
||||
lambda : 0.857335
|
||||
|
||||
initial set of free parameter values
|
||||
|
||||
aa = 1
|
||||
bb = 1
|
||||
/
|
||||
|
||||
Iteration 1
|
||||
WSSR : 3.537e+08 delta(WSSR)/WSSR : -6.62708
|
||||
delta(WSSR) : -2.344e+09 limit for stopping : 1e-05
|
||||
lambda : 0.0857335
|
||||
|
||||
resultant parameter values
|
||||
|
||||
aa = -6338.16
|
||||
bb = 5839.13
|
||||
/
|
||||
|
||||
Iteration 2
|
||||
WSSR : 3.3878e+08 delta(WSSR)/WSSR : -0.0440412
|
||||
delta(WSSR) : -1.49203e+07 limit for stopping : 1e-05
|
||||
lambda : 0.00857335
|
||||
|
||||
resultant parameter values
|
||||
|
||||
aa = -8296.31
|
||||
bb = 7180.26
|
||||
/
|
||||
|
||||
Iteration 3
|
||||
WSSR : 3.3878e+08 delta(WSSR)/WSSR : -3.41053e-07
|
||||
delta(WSSR) : -115.542 limit for stopping : 1e-05
|
||||
lambda : 0.000857335
|
||||
|
||||
resultant parameter values
|
||||
|
||||
aa = -8301.78
|
||||
bb = 7184
|
||||
|
||||
After 3 iterations the fit converged.
|
||||
final sum of squares of residuals : 3.3878e+08
|
||||
rel. change during last iteration : -3.41053e-07
|
||||
|
||||
degrees of freedom (FIT_NDF) : 908
|
||||
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 610.824
|
||||
variance of residuals (reduced chisquare) = WSSR/ndf : 373106
|
||||
|
||||
Final set of parameters Asymptotic Standard Error
|
||||
======================= ==========================
|
||||
|
||||
aa = -8301.78 +/- 310.7 (3.743%)
|
||||
bb = 7184 +/- 213 (2.965%)
|
||||
|
||||
|
||||
correlation matrix of the fit parameters:
|
||||
|
||||
aa bb
|
||||
aa 1.000
|
||||
bb -0.995 1.000
|
||||
|
||||
|
||||
Iteration 0
|
||||
WSSR : 8.64029e+06 delta(WSSR)/WSSR : 0
|
||||
delta(WSSR) : 0 limit for stopping : 1e-05
|
||||
lambda : 0.857335
|
||||
|
||||
initial set of free parameter values
|
||||
|
||||
aaa = 1
|
||||
bbb = 1
|
||||
/
|
||||
|
||||
Iteration 1
|
||||
WSSR : 65352.7 delta(WSSR)/WSSR : -131.21
|
||||
delta(WSSR) : -8.57494e+06 limit for stopping : 1e-05
|
||||
lambda : 0.0857335
|
||||
|
||||
resultant parameter values
|
||||
|
||||
aaa = -219.119
|
||||
bbb = 246.318
|
||||
/
|
||||
|
||||
Iteration 2
|
||||
WSSR : 44319.4 delta(WSSR)/WSSR : -0.474585
|
||||
delta(WSSR) : -21033.3 limit for stopping : 1e-05
|
||||
lambda : 0.00857335
|
||||
|
||||
resultant parameter values
|
||||
|
||||
aaa = -292.627
|
||||
bbb = 296.685
|
||||
/
|
||||
|
||||
Iteration 3
|
||||
WSSR : 44319.2 delta(WSSR)/WSSR : -3.6749e-06
|
||||
delta(WSSR) : -0.162868 limit for stopping : 1e-05
|
||||
lambda : 0.000857335
|
||||
|
||||
resultant parameter values
|
||||
|
||||
aaa = -292.832
|
||||
bbb = 296.825
|
||||
|
||||
After 3 iterations the fit converged.
|
||||
final sum of squares of residuals : 44319.2
|
||||
rel. change during last iteration : -3.6749e-06
|
||||
|
||||
degrees of freedom (FIT_NDF) : 908
|
||||
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.98639
|
||||
variance of residuals (reduced chisquare) = WSSR/ndf : 48.8097
|
||||
|
||||
Final set of parameters Asymptotic Standard Error
|
||||
======================= ==========================
|
||||
|
||||
aaa = -292.832 +/- 3.554 (1.214%)
|
||||
bbb = 296.825 +/- 2.437 (0.8209%)
|
||||
|
||||
|
||||
correlation matrix of the fit parameters:
|
||||
|
||||
aaa bbb
|
||||
aaa 1.000
|
||||
bbb -0.995 1.000
|
||||
|
||||
|
||||
Iteration 0
|
||||
WSSR : 8.75529e+06 delta(WSSR)/WSSR : 0
|
||||
delta(WSSR) : 0 limit for stopping : 1e-05
|
||||
lambda : 0.707146
|
||||
|
||||
initial set of free parameter values
|
||||
|
||||
aaaa = 1
|
||||
bbbb = 1
|
||||
/
|
||||
|
||||
Iteration 1
|
||||
WSSR : 356710 delta(WSSR)/WSSR : -23.5445
|
||||
delta(WSSR) : -8.39858e+06 limit for stopping : 1e-05
|
||||
lambda : 0.0707146
|
||||
|
||||
resultant parameter values
|
||||
|
||||
aaaa = -135.643
|
||||
bbbb = 98.21
|
||||
/
|
||||
|
||||
Iteration 2
|
||||
WSSR : 98176.3 delta(WSSR)/WSSR : -2.63337
|
||||
delta(WSSR) : -258534 limit for stopping : 1e-05
|
||||
lambda : 0.00707146
|
||||
|
||||
resultant parameter values
|
||||
|
||||
aaaa = -3207.68
|
||||
bbbb = 127.583
|
||||
/
|
||||
|
||||
Iteration 3
|
||||
WSSR : 84605.3 delta(WSSR)/WSSR : -0.160403
|
||||
delta(WSSR) : -13570.9 limit for stopping : 1e-05
|
||||
lambda : 0.000707146
|
||||
|
||||
resultant parameter values
|
||||
|
||||
aaaa = -4088.49
|
||||
bbbb = 135.99
|
||||
/
|
||||
|
||||
Iteration 4
|
||||
WSSR : 84605.2 delta(WSSR)/WSSR : -1.31864e-06
|
||||
delta(WSSR) : -0.111564 limit for stopping : 1e-05
|
||||
lambda : 7.07146e-05
|
||||
|
||||
resultant parameter values
|
||||
|
||||
aaaa = -4091.03
|
||||
bbbb = 136.014
|
||||
|
||||
After 4 iterations the fit converged.
|
||||
final sum of squares of residuals : 84605.2
|
||||
rel. change during last iteration : -1.31864e-06
|
||||
|
||||
degrees of freedom (FIT_NDF) : 908
|
||||
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.65285
|
||||
variance of residuals (reduced chisquare) = WSSR/ndf : 93.1775
|
||||
|
||||
Final set of parameters Asymptotic Standard Error
|
||||
======================= ==========================
|
||||
|
||||
aaaa = -4091.03 +/- 73.19 (1.789%)
|
||||
bbbb = 136.014 +/- 0.7684 (0.5649%)
|
||||
|
||||
|
||||
correlation matrix of the fit parameters:
|
||||
|
||||
aaaa bbbb
|
||||
aaaa 1.000
|
||||
bbbb -0.909 1.000
|
||||
26
dokumentation/evolution3d/all.gnuplot.script
Normal file
26
dokumentation/evolution3d/all.gnuplot.script
Normal file
@ -0,0 +1,26 @@
|
||||
set datafile separator ","
|
||||
f(x)=a*x+b
|
||||
fit f(x) "all.csv" every ::1 using 1:5 via a,b
|
||||
set terminal png
|
||||
set xlabel 'regularity'
|
||||
set ylabel 'steps'
|
||||
set output "all_regularity-vs-steps.png"
|
||||
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 1:5 title "4x4x4" pt 2, "20171013_3dFit_5x4x4_100times.csv" every ::1 using 1:5 title "5x4x4" pt 2, "20171005_3dFit_7x4x4_100times.csv" every ::1 using 1:5 title "7x4x4" pt 2, "20171005_3dFit_4x4x5_100times.csv" every ::1 using 1:5 title "4x4x5" pt 2, "20171013_3dFit_4x4x7_100times.csv" every ::1 using 1:5 title "4x4x7" pt 2, "20170926_3dFit_5x5x5_100times.csv" every ::1 using 1:5 title "5x5x5" pt 2, "20171021-evolution3D_6x6_100Times.csv" every ::1 using 1:5 title "6x6x6" pt 2, f(x) title "lin. fit" lc rgb "black"
|
||||
g(x)=aa*x+bb
|
||||
fit g(x) "all.csv" every ::1 using 3:5 via aa,bb
|
||||
set xlabel 'improvement potential'
|
||||
set ylabel 'steps'
|
||||
set output "all_improvement-vs-steps.png"
|
||||
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:5 title "4x4x4" pt 2, "20171013_3dFit_5x4x4_100times.csv" every ::1 using 3:5 title "5x4x4" pt 2, "20171005_3dFit_7x4x4_100times.csv" every ::1 using 3:5 title "7x4x4" pt 2, "20171005_3dFit_4x4x5_100times.csv" every ::1 using 3:5 title "4x4x5" pt 2, "20171013_3dFit_4x4x7_100times.csv" every ::1 using 3:5 title "4x4x7" pt 2, "20170926_3dFit_5x5x5_100times.csv" every ::1 using 3:5 title "5x5x5" pt 2, "20171021-evolution3D_6x6_100Times.csv" every ::1 using 3:5 title "6x6x6" pt 2, g(x) title "lin. fit" lc rgb "black"
|
||||
h(x)=aaa*x+bbb
|
||||
fit h(x) "all.csv" every ::1 using 3:4 via aaa,bbb
|
||||
set xlabel 'improvement potential'
|
||||
set ylabel 'evolution error'
|
||||
set output "all_improvement-vs-evo-error.png"
|
||||
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:4 title "4x4x4" pt 2, "20171013_3dFit_5x4x4_100times.csv" every ::1 using 3:4 title "5x4x4" pt 2, "20171005_3dFit_7x4x4_100times.csv" every ::1 using 3:4 title "7x4x4" pt 2, "20171005_3dFit_4x4x5_100times.csv" every ::1 using 3:4 title "4x4x5" pt 2, "20171013_3dFit_4x4x7_100times.csv" every ::1 using 3:4 title "4x4x7" pt 2, "20170926_3dFit_5x5x5_100times.csv" every ::1 using 3:4 title "5x5x5" pt 2, "20171021-evolution3D_6x6_100Times.csv" every ::1 using 3:4 title "6x6x6" pt 2, h(x) title "lin. fit" lc rgb "black"
|
||||
i(x)=aaaa*x+bbbb
|
||||
fit i(x) "all.csv" every ::1 using 2:4 via aaaa,bbbb
|
||||
set xlabel 'variability'
|
||||
set ylabel 'evolution error'
|
||||
set output "all_variability-vs-evo-error.png"
|
||||
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 2:4 title "4x4x4" pt 2, "20171013_3dFit_5x4x4_100times.csv" every ::1 using 2:4 title "5x4x4" pt 2, "20171005_3dFit_7x4x4_100times.csv" every ::1 using 2:4 title "7x4x4" pt 2, "20171005_3dFit_4x4x5_100times.csv" every ::1 using 2:4 title "4x4x5" pt 2, "20171013_3dFit_4x4x7_100times.csv" every ::1 using 2:4 title "4x4x7" pt 2, "20170926_3dFit_5x5x5_100times.csv" every ::1 using 2:4 title "5x5x5" pt 2, "20171021-evolution3D_6x6_100Times.csv" every ::1 using 2:4 title "6x6x6" pt 2, i(x) title "lin. fit" lc rgb "black"
|
||||
9
dokumentation/evolution3d/all.mms
Normal file
9
dokumentation/evolution3d/all.mms
Normal file
@ -0,0 +1,9 @@
|
||||
[1] "================ Analyzing all.csv"
|
||||
[1] "Mean:"
|
||||
[1] 96.96886
|
||||
[1] "Median:"
|
||||
[1] 97.8825
|
||||
[1] "Sigma:"
|
||||
[1] 20.3298
|
||||
[1] "Range:"
|
||||
[1] 52.0186 130.8540
|
||||
49
dokumentation/evolution3d/all.spearman
Normal file
49
dokumentation/evolution3d/all.spearman
Normal file
@ -0,0 +1,49 @@
|
||||
[1] "================ Analyzing all.csv"
|
||||
[1] "spearman for improvement-potential vs. evolution-error"
|
||||
x y
|
||||
x 1.00 -0.95
|
||||
y -0.95 1.00
|
||||
|
||||
n= 910
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0
|
||||
y 0
|
||||
[1] "spearman for improvement-potential vs. steps"
|
||||
x y
|
||||
x 1.00 -0.69
|
||||
y -0.69 1.00
|
||||
|
||||
n= 910
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0
|
||||
y 0
|
||||
[1] "spearman for regularity vs. steps"
|
||||
x y
|
||||
x 1.00 -0.15
|
||||
y -0.15 1.00
|
||||
|
||||
n= 910
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0
|
||||
y 0
|
||||
[1] "spearman for variability vs. evolution-error"
|
||||
x y
|
||||
x 1.00 -0.94
|
||||
y -0.94 1.00
|
||||
|
||||
n= 910
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0
|
||||
y 0
|
||||
BIN
dokumentation/evolution3d/all_improvement-vs-evo-error.png
Normal file
BIN
dokumentation/evolution3d/all_improvement-vs-evo-error.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 12 KiB |
BIN
dokumentation/evolution3d/all_improvement-vs-steps.png
Normal file
BIN
dokumentation/evolution3d/all_improvement-vs-steps.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 12 KiB |
BIN
dokumentation/evolution3d/all_regularity-vs-steps.png
Normal file
BIN
dokumentation/evolution3d/all_regularity-vs-steps.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 14 KiB |
BIN
dokumentation/evolution3d/all_variability-vs-evo-error.png
Normal file
BIN
dokumentation/evolution3d/all_variability-vs-evo-error.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 7.1 KiB |
@ -14,9 +14,9 @@ set xlabel 'regularity'
|
||||
set ylabel 'steps'
|
||||
set output "${png}_regularity-vs-steps.png"
|
||||
plot \
|
||||
"$2" every ::1 using 1:5 title "$3", \
|
||||
"$4" every ::1 using 1:5 title "$5", \
|
||||
"$6" every ::1 using 1:5 title "$7", \
|
||||
"$2" every ::1 using 1:5 title "$3" pt 2, \
|
||||
"$4" every ::1 using 1:5 title "$5" pt 2, \
|
||||
"$6" every ::1 using 1:5 title "$7" pt 2, \
|
||||
f(x) title "lin. fit" lc rgb "black"
|
||||
g(x)=aa*x+bb
|
||||
fit g(x) "$data" every ::1 using 3:5 via aa,bb
|
||||
@ -24,9 +24,9 @@ set xlabel 'improvement potential'
|
||||
set ylabel 'steps'
|
||||
set output "${png}_improvement-vs-steps.png"
|
||||
plot \
|
||||
"$2" every ::1 using 3:5 title "$3", \
|
||||
"$4" every ::1 using 3:5 title "$5", \
|
||||
"$6" every ::1 using 3:5 title "$7", \
|
||||
"$2" every ::1 using 3:5 title "$3" pt 2, \
|
||||
"$4" every ::1 using 3:5 title "$5" pt 2, \
|
||||
"$6" every ::1 using 3:5 title "$7" pt 2, \
|
||||
g(x) title "lin. fit" lc rgb "black"
|
||||
h(x)=aaa*x+bbb
|
||||
fit h(x) "$data" every ::1 using 3:4 via aaa,bbb
|
||||
@ -34,9 +34,9 @@ set xlabel 'improvement potential'
|
||||
set ylabel 'evolution error'
|
||||
set output "${png}_improvement-vs-evo-error.png"
|
||||
plot \
|
||||
"$2" every ::1 using 3:4 title "$3", \
|
||||
"$4" every ::1 using 3:4 title "$5", \
|
||||
"$6" every ::1 using 3:4 title "$7", \
|
||||
"$2" every ::1 using 3:4 title "$3" pt 2, \
|
||||
"$4" every ::1 using 3:4 title "$5" pt 2, \
|
||||
"$6" every ::1 using 3:4 title "$7" pt 2, \
|
||||
h(x) title "lin. fit" lc rgb "black"
|
||||
i(x)=aaaa*x+bbbb
|
||||
fit i(x) "$data" every ::1 using 2:4 via aaaa,bbbb
|
||||
@ -44,9 +44,9 @@ set xlabel 'variability'
|
||||
set ylabel 'evolution error'
|
||||
set output "${png}_variability-vs-evo-error.png"
|
||||
plot \
|
||||
"$2" every ::1 using 2:4 title "$3", \
|
||||
"$4" every ::1 using 2:4 title "$5", \
|
||||
"$6" every ::1 using 2:4 title "$7", \
|
||||
"$2" every ::1 using 2:4 title "$3" pt 2, \
|
||||
"$4" every ::1 using 2:4 title "$5" pt 2, \
|
||||
"$6" every ::1 using 2:4 title "$7" pt 2, \
|
||||
i(x) title "lin. fit" lc rgb "black"
|
||||
EOD
|
||||
) > "${png}.gnuplot.script"
|
||||
|
||||
71
dokumentation/evolution3d/combine7.sh
Executable file
71
dokumentation/evolution3d/combine7.sh
Executable file
@ -0,0 +1,71 @@
|
||||
#!/bin/bash
|
||||
|
||||
if [[ $# -eq 0 ]]; then
|
||||
echo "usage: $0 <DATA.csv>"
|
||||
else
|
||||
data="$1";
|
||||
png="`echo $1 | sed -s "s/\.csv$//"`" # strip ending
|
||||
(cat <<EOD
|
||||
set datafile separator ","
|
||||
f(x)=a*x+b
|
||||
fit f(x) "$data" every ::1 using 1:5 via a,b
|
||||
set terminal png
|
||||
set xlabel 'regularity'
|
||||
set ylabel 'steps'
|
||||
set output "${png}_regularity-vs-steps.png"
|
||||
plot \
|
||||
"$2" every ::1 using 1:5 title "$3" pt 2, \
|
||||
"$4" every ::1 using 1:5 title "$5" pt 2, \
|
||||
"$6" every ::1 using 1:5 title "$7" pt 2, \
|
||||
"$8" every ::1 using 1:5 title "$9" pt 2, \
|
||||
"${10}" every ::1 using 1:5 title "${11}" pt 2, \
|
||||
"${12}" every ::1 using 1:5 title "${13}" pt 2, \
|
||||
"${14}" every ::1 using 1:5 title "${15}" pt 2, \
|
||||
f(x) title "lin. fit" lc rgb "black"
|
||||
g(x)=aa*x+bb
|
||||
fit g(x) "$data" every ::1 using 3:5 via aa,bb
|
||||
set xlabel 'improvement potential'
|
||||
set ylabel 'steps'
|
||||
set output "${png}_improvement-vs-steps.png"
|
||||
plot \
|
||||
"$2" every ::1 using 3:5 title "$3" pt 2, \
|
||||
"$4" every ::1 using 3:5 title "$5" pt 2, \
|
||||
"$6" every ::1 using 3:5 title "$7" pt 2, \
|
||||
"$8" every ::1 using 3:5 title "$9" pt 2, \
|
||||
"${10}" every ::1 using 3:5 title "${11}" pt 2, \
|
||||
"${12}" every ::1 using 3:5 title "${13}" pt 2, \
|
||||
"${14}" every ::1 using 3:5 title "${15}" pt 2, \
|
||||
g(x) title "lin. fit" lc rgb "black"
|
||||
h(x)=aaa*x+bbb
|
||||
fit h(x) "$data" every ::1 using 3:4 via aaa,bbb
|
||||
set xlabel 'improvement potential'
|
||||
set ylabel 'evolution error'
|
||||
set output "${png}_improvement-vs-evo-error.png"
|
||||
plot \
|
||||
"$2" every ::1 using 3:4 title "$3" pt 2, \
|
||||
"$4" every ::1 using 3:4 title "$5" pt 2, \
|
||||
"$6" every ::1 using 3:4 title "$7" pt 2, \
|
||||
"$8" every ::1 using 3:4 title "$9" pt 2, \
|
||||
"${10}" every ::1 using 3:4 title "${11}" pt 2, \
|
||||
"${12}" every ::1 using 3:4 title "${13}" pt 2, \
|
||||
"${14}" every ::1 using 3:4 title "${15}" pt 2, \
|
||||
h(x) title "lin. fit" lc rgb "black"
|
||||
i(x)=aaaa*x+bbbb
|
||||
fit i(x) "$data" every ::1 using 2:4 via aaaa,bbbb
|
||||
set xlabel 'variability'
|
||||
set ylabel 'evolution error'
|
||||
set output "${png}_variability-vs-evo-error.png"
|
||||
plot \
|
||||
"$2" every ::1 using 2:4 title "$3" pt 2, \
|
||||
"$4" every ::1 using 2:4 title "$5" pt 2, \
|
||||
"$6" every ::1 using 2:4 title "$7" pt 2, \
|
||||
"$8" every ::1 using 2:4 title "$9" pt 2, \
|
||||
"${10}" every ::1 using 2:4 title "${11}" pt 2, \
|
||||
"${12}" every ::1 using 2:4 title "${13}" pt 2, \
|
||||
"${14}" every ::1 using 2:4 title "${15}" pt 2, \
|
||||
i(x) title "lin. fit" lc rgb "black"
|
||||
EOD
|
||||
) > "${png}.gnuplot.script"
|
||||
gnuplot "${png}.gnuplot.script" 2> "${png}.gnuplot.log"
|
||||
mv fit.log "${png}.gnuplot.fit.log"
|
||||
fi
|
||||
111
dokumentation/evolution3d/errors.csv
Normal file
111
dokumentation/evolution3d/errors.csv
Normal file
@ -0,0 +1,111 @@
|
||||
"4x4x4","4x4x5","5x4x4","4x4x7","7x4x4","5x5x5","6x6x6"
|
||||
113.016,104.911,91.4882,85.1149,105.032,73.9627,56.9424
|
||||
118.796,102.122,95.001,82.2095,91.0336,79.3303,65.8672
|
||||
127.157,100.463,97.72,93.8283,74.0894,72.8373,61.6979
|
||||
121.613,111.329,99.0429,99.4121,77.0829,60.0032,64.1851
|
||||
119.539,104.712,102.273,84.7928,84.9413,80.1321,55.1204
|
||||
119.512,100.048,98.0028,89.4784,103.909,66.1526,63.4494
|
||||
118.285,102.05,101.929,98.0445,88.0771,74.6032,56.8508
|
||||
126.579,98.3549,103.969,82.4413,93.4708,71.3161,68.7883
|
||||
122.512,93.4038,92.5069,95.9898,83.1573,71.9377,63.1337
|
||||
118.473,104.028,118.88,82.9514,80.9548,70.127,71.6163
|
||||
121.998,102.965,96.2138,95.6417,78.1902,61.7195,71.1037
|
||||
115.313,102.822,100.164,97.597,84.7296,86.6101,55.0916
|
||||
118.034,97.9662,95.9282,92.8455,94.4156,77.235,63.109
|
||||
120.003,100.341,96.3737,87.554,84.0696,70.3058,56.7978
|
||||
123.494,109.73,107.927,88.0962,83.4435,73.3268,64.0039
|
||||
122.989,99.6362,98.0377,92.764,88.5741,72.8603,63.2723
|
||||
123.757,113.29,94.9011,92.6177,77.5017,70.5867,57.7703
|
||||
110.67,112.572,102.223,91.9667,82.8934,79.8851,61.9955
|
||||
121.232,86.3175,126.177,82.2732,89.5173,89.169,55.9687
|
||||
120.979,91.637,101.879,94.741,92.6297,86.3505,78.0966
|
||||
115.394,107.27,90.0009,87.4631,88.5844,77.8282,65.5659
|
||||
116.928,110.797,101.026,99.0457,82.1173,70.418,65.5294
|
||||
125.294,99.0484,94.5618,83.0585,73.2,82.3889,52.8169
|
||||
111.635,94.2222,99.2481,87.7612,84.76,80.3257,59.6491
|
||||
114.681,104.417,94.1741,92.4952,73.4001,85.6612,54.1868
|
||||
111.935,96.4144,102.894,87.4672,92.3227,76.2377,64.4377
|
||||
111.392,108.23,103.993,85.5196,84.2123,76.8062,64.634
|
||||
115.346,98.5045,96.549,96.1244,84.2583,75.0253,61.125
|
||||
119.055,93.4554,90.1281,80.3879,78.5571,73.6296,59.6531
|
||||
117.452,110.564,104.444,88.557,89.2675,71.8145,61.0567
|
||||
123.379,104.082,104.542,80.9192,81.8836,82.1172,66.6297
|
||||
115.053,95.1024,107.051,88.0159,83.885,68.4228,70.4683
|
||||
123.994,100.132,102.128,92.5849,91.469,74.5628,63.4839
|
||||
118.576,102.451,105.315,95.6485,81.0534,82.4297,58.2558
|
||||
116.894,116.302,104.097,82.6378,90.3739,74.6568,66.0124
|
||||
120.129,98.5173,96.8133,86.2912,85.6114,76.5874,57.8232
|
||||
126.708,104.428,99.8496,87.6295,91.687,82.2821,63.7635
|
||||
114.595,104.909,103.385,93.7818,90.1008,71.321,58.0721
|
||||
120.056,106.289,108.874,81.2872,89.7677,80.1887,60.9659
|
||||
122.057,106.708,112.975,92.884,79.4512,60.0022,62.2392
|
||||
116.846,108.022,113.068,85.1577,86.5543,73.5674,75.0921
|
||||
124.35,97.8253,99.4226,82.4601,88.7329,68.7547,55.2029
|
||||
118.43,114.829,115.742,88.7562,91.8764,97.4154,82.5252
|
||||
116.574,115.054,94.4964,85.7044,85.9747,81.1639,60.4597
|
||||
128.474,106.6,103.45,90.0389,82.843,82.2747,58.192
|
||||
111.111,105.157,116.123,90.6256,83.5281,70.415,65.2124
|
||||
120.004,93.2856,98.1676,86.5225,78.0961,72.564,60.0963
|
||||
119.866,98.8994,105.069,93.0686,104.49,70.1961,75.3887
|
||||
119.676,117.524,108.953,86.9607,88.2734,83.8507,80.3804
|
||||
128.957,97.0705,91.997,91.6042,102.032,82.3622,55.2663
|
||||
108.467,95.9897,95.3832,100.349,85.7869,74.3285,60.0725
|
||||
123.353,104.384,87.7666,78.4994,90.7034,84.2108,62.3384
|
||||
123.301,104.01,97.0353,89.8504,89.582,69.7744,64.2813
|
||||
114.838,104.585,99.1089,83.6403,83.1789,82.1376,61.7037
|
||||
118.611,98.8101,95.5062,101.654,75.4405,74.2818,59.3731
|
||||
109.616,104.262,130.854,99.3329,79.2881,78.989,65.7621
|
||||
113.565,95.1758,101.333,92.788,86.13,82.2812,63.3544
|
||||
120.01,109.61,96.735,83.6513,85.3256,74.0614,56.9314
|
||||
125.441,96.3427,98.5471,85.7803,83.3977,83.257,59.2639
|
||||
122.541,106.331,107.22,83.9198,84.789,72.454,73.3526
|
||||
123.169,103.753,97.6237,97.1194,88.6137,71.9554,66.3558
|
||||
117.344,106.698,105.503,86.66,82.1479,93.8159,60.2468
|
||||
112.674,97.9397,110.648,95.519,75.152,64.5602,59.9975
|
||||
118.787,106.656,95.6589,94.3315,82.7487,81.597,66.071
|
||||
112.061,102.299,98.2938,89.9138,84.791,74.8947,66.9982
|
||||
110.262,104.71,103.401,89.7127,93.4055,71.937,56.1226
|
||||
116.504,99.6516,110.527,88.7631,74.1192,82.8423,66.7656
|
||||
109.607,85.3402,96.7363,86.5084,83.2161,66.0827,65.502
|
||||
122.198,103.875,95.9747,93.2268,94.8049,79.8222,59.5304
|
||||
124.527,99.7871,93.9381,86.4354,72.2744,80.2208,59.7764
|
||||
120.886,99.823,101.823,91.7037,93.935,76.7288,62.1932
|
||||
119.176,110.554,115.05,89.9394,96.7835,75.2866,61.2462
|
||||
121.081,114.952,101.306,82.762,86.4099,75.6383,75.8608
|
||||
121.038,99.7046,102.493,81.379,87.3714,79.3073,69.8036
|
||||
112.392,96.1227,94.8579,80.2224,77.0284,69.5742,64.1075
|
||||
121.148,94.9822,108.05,79.8926,74.9314,76.4946,66.444
|
||||
117.053,109.207,101.873,95.5281,87.7317,92.7633,55.9495
|
||||
123.651,106.855,113.606,87.6941,91.005,83.3937,74.2188
|
||||
128.446,110.589,97.6295,101.649,76.2978,83.8943,61.8076
|
||||
115.527,96.4926,94.5646,85.3415,84.0268,73.5603,65.2168
|
||||
121.456,104.201,89.2764,86.2938,82.958,76.8801,57.2958
|
||||
127.418,95.364,97.445,101.265,80.859,70.703,52.0186
|
||||
113.541,95.9782,101.923,84.5136,78.3619,69.1493,66.3049
|
||||
116.805,109.152,103.308,90.5252,87.6379,79.6539,68.9979
|
||||
123.244,99.7984,92.9774,90.4494,82.0693,83.4016,64.4292
|
||||
123.095,106.249,95.1595,94.5348,75.4678,88.5801,57.3039
|
||||
115.9,91.3925,101.54,77.2599,85.7208,85.8292,60.8438
|
||||
124.024,102.095,106.698,89.5657,78.6163,72.5448,61.5872
|
||||
114.685,108.615,108.192,78.0427,97.2452,82.2857,58.9557
|
||||
113.428,100.235,101.598,91.3327,80.0625,83.8247,58.0811
|
||||
117.456,102.616,102.393,116.609,85.7072,78.3849,61.8499
|
||||
122.15,114.163,105.018,83.6798,75.0646,84.6062,58.8907
|
||||
124.576,107.106,94.0851,89.0655,82.1324,75.7662,60.5339
|
||||
113.63,94.8621,97.1255,82.225,90.3791,78.4256,66.9486
|
||||
126.608,91.0518,100.425,90.5327,99.9413,68.3999,57.7944
|
||||
129.916,112.361,100.988,78.9694,72.5502,72.1529,62.5237
|
||||
119.673,119.675,100.096,83.061,83.4268,78.0544,60.6411
|
||||
116.233,102.147,95.9289,97.7498,87.4954,89.1144,72.3431
|
||||
125.086,103.006,89.3173,87.9928,83.3203,86.8059,61.1932
|
||||
112.897,104.759,103.315,83.4737,91.7128,75.2054,59.7782
|
||||
,,,,,,58.5321
|
||||
,,,,,,60.3221
|
||||
,,,,,,62.104
|
||||
,,,,,,65.3453
|
||||
,,,,,,61.6116
|
||||
,,,,,,62.1421
|
||||
,,,,,,64.1642
|
||||
,,,,,,59.2356
|
||||
,,,,,,55.0987
|
||||
,,,,,,64.6963
|
||||
|
9
dokumentation/evolution3d/errors.mms
Normal file
9
dokumentation/evolution3d/errors.mms
Normal file
@ -0,0 +1,9 @@
|
||||
[1] "================ Analyzing errors.csv"
|
||||
[1] "Mean:"
|
||||
[1] NA
|
||||
[1] "Median:"
|
||||
[1] NA
|
||||
[1] "Sigma:"
|
||||
[1] NA
|
||||
[1] "Range:"
|
||||
[1] NA NA
|
||||
49
dokumentation/evolution3d/errors.spearman
Normal file
49
dokumentation/evolution3d/errors.spearman
Normal file
@ -0,0 +1,49 @@
|
||||
[1] "================ Analyzing errors.csv"
|
||||
[1] "spearman for improvement-potential vs. evolution-error"
|
||||
x y
|
||||
x 1.00 -0.09
|
||||
y -0.09 1.00
|
||||
|
||||
n= 100
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0.3979
|
||||
y 0.3979
|
||||
[1] "spearman for improvement-potential vs. steps"
|
||||
x y
|
||||
x 1.00 0.11
|
||||
y 0.11 1.00
|
||||
|
||||
n= 100
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0.258
|
||||
y 0.258
|
||||
[1] "spearman for regularity vs. steps"
|
||||
x y
|
||||
x 1.00 -0.09
|
||||
y -0.09 1.00
|
||||
|
||||
n= 100
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0.3491
|
||||
y 0.3491
|
||||
[1] "spearman for variability vs. evolution-error"
|
||||
x y
|
||||
x 1.00 -0.01
|
||||
y -0.01 1.00
|
||||
|
||||
n= 100
|
||||
|
||||
|
||||
P
|
||||
x y
|
||||
x 0.9057
|
||||
y 0.9057
|
||||
@ -26,6 +26,14 @@ set xlabel 'improvement potential'
|
||||
set ylabel 'evolution error'
|
||||
set output "${png}_improvement-vs-evo-error.png"
|
||||
plot "$data" every ::1 using 3:4 title "data", h(x) title "lin. fit" lc rgb "black"
|
||||
i(x)=aaaa*x+bbbb
|
||||
fit i(x) "$data" every ::1 using 2:4 via aaaa,bbbb
|
||||
set xlabel 'variability'
|
||||
set ylabel 'evolution error'
|
||||
set output "${png}_variability-vs-evo-error.png"
|
||||
plot \
|
||||
"$data" every ::1 using 2:4 title "data", \
|
||||
i(x) title "lin. fit" lc rgb "black"
|
||||
EOD
|
||||
) > "${png}.gnuplot.script"
|
||||
gnuplot "${png}.gnuplot.script" 2> "${png}.gnuplot.log"
|
||||
|
||||
BIN
dokumentation/evolution3d/improvement_montage.png
Normal file
BIN
dokumentation/evolution3d/improvement_montage.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 34 KiB |
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Loading…
Reference in New Issue
Block a user