masterarbeit/dokumentation/evolution3d/20171005_3dFit_7x4x4_100times.gnuplot.fit.log

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Fri Oct 27 14:09:07 2017


FIT:    data read from "20171005_3dFit_7x4x4_100times.csv" every ::1 using 1:5
        format = x:z
        #datapoints = 100
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 5.99179e+07       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 7 iterations the fit converged.
final sum of squares of residuals : 7.64082e+06
rel. change during last iteration : -6.5908e-10

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 279.227
variance of residuals (reduced chisquare) = WSSR/ndf   : 77967.5

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

a               = -2.13003e+06     +/- 1.528e+06    (71.73%)
b               = 884.233          +/- 119          (13.46%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.972  1.000 


*******************************************************************************
Fri Oct 27 14:09:07 2017


FIT:    data read from "20171005_3dFit_7x4x4_100times.csv" every ::1 using 3:5
        format = x:z
        #datapoints = 100
        residuals are weighted equally (unit weight)

function used for fitting: g(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 5.98168e+07       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.863373

initial set of free parameter values

aa              = 1
bb              = 1

After 4 iterations the fit converged.
final sum of squares of residuals : 7.78198e+06
rel. change during last iteration : -6.03025e-08

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 281.794
variance of residuals (reduced chisquare) = WSSR/ndf   : 79408

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

aa              = 1209.85          +/- 3345         (276.5%)
bb              = -124.568         +/- 2343         (1881%)


correlation matrix of the fit parameters:

               aa     bb     
aa              1.000 
bb             -1.000  1.000 


*******************************************************************************
Fri Oct 27 14:09:07 2017


FIT:    data read from "20171005_3dFit_7x4x4_100times.csv" every ::1 using 3:4
        format = x:z
        #datapoints = 100
        residuals are weighted equally (unit weight)

function used for fitting: h(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 705113            delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.863373

initial set of free parameter values

aaa             = 1
bbb             = 1

After 4 iterations the fit converged.
final sum of squares of residuals : 4691.18
rel. change during last iteration : -8.51727e-06

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 6.91876
variance of residuals (reduced chisquare) = WSSR/ndf   : 47.8692

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

aaa             = -213.511         +/- 82.13        (38.46%)
bbb             = 234.945          +/- 57.54        (24.49%)


correlation matrix of the fit parameters:

               aaa    bbb    
aaa             1.000 
bbb            -1.000  1.000 


*******************************************************************************
Fri Oct 27 14:09:07 2017


FIT:    data read from "20171005_3dFit_7x4x4_100times.csv" every ::1 using 2:4
        format = x:z
        #datapoints = 100
        residuals are weighted equally (unit weight)

function used for fitting: i(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 716707            delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.707145

initial set of free parameter values

aaaa            = 1
bbbb            = 1

After 3 iterations the fit converged.
final sum of squares of residuals : 5014.73
rel. change during last iteration : -8.78131e-12

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 7.15337
variance of residuals (reduced chisquare) = WSSR/ndf   : 51.1707

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

aaaa            = 1.87421          +/- 6.575e+16    (3.508e+18%)
bbbb            = 85.3528          +/- 6.814e+14    (7.983e+14%)


correlation matrix of the fit parameters:

               aaaa   bbbb   
aaaa            1.000 
bbbb           -1.000  1.000