masterarbeit/dokumentation/evolution3d/20171005_3dFit_4x4x5_100times.gnuplot.fit.log

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Fri Oct 27 14:09:07 2017


FIT:    data read from "20171005_3dFit_4x4x5_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        : 3.72074e+08       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 : 3.04469e+07
rel. change during last iteration : -2.90533e-10

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 557.389
variance of residuals (reduced chisquare) = WSSR/ndf   : 310682

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

a               = -4.48337e+06     +/- 2.603e+06    (58.05%)
b               = 2413.03          +/- 333.4        (13.82%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.986  1.000 


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


FIT:    data read from "20171005_3dFit_4x4x5_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        : 3.71832e+08       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.844596

initial set of free parameter values

aa              = 1
bb              = 1

After 4 iterations the fit converged.
final sum of squares of residuals : 2.6634e+07
rel. change during last iteration : -6.71396e-06

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 521.321
variance of residuals (reduced chisquare) = WSSR/ndf   : 271775

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

aa              = 23577.6          +/- 5649         (23.96%)
bb              = -13552.8         +/- 3690         (27.23%)


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_4x4x5_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        : 1.02942e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.844596

initial set of free parameter values

aaa             = 1
bbb             = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 3639.03
rel. change during last iteration : -1.81573e-13

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 6.09368
variance of residuals (reduced chisquare) = WSSR/ndf   : 37.1329

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

aaa             = -317.551         +/- 66.03        (20.79%)
bbb             = 310.298          +/- 43.13        (13.9%)


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_4x4x5_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        : 1.04253e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.707126

initial set of free parameter values

aaaa            = 1
bbbb            = 1

After 3 iterations the fit converged.
final sum of squares of residuals : 4497.91
rel. change during last iteration : -1.42792e-11

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 6.77474
variance of residuals (reduced chisquare) = WSSR/ndf   : 45.8971

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

aaaa            = 1.75417          +/- 1.135e+17    (6.469e+18%)
bbbb            = 102.878          +/- 8.4e+14      (8.165e+14%)


correlation matrix of the fit parameters:

               aaaa   bbbb   
aaaa            1.000 
bbbb           -1.000  1.000