*******************************************************************************
Tue Oct 24 02:24:05 2017


FIT:    data read from "20171021-evolution1D_10x10_100Times.csv" every ::1 using 2:5
        format = x:z
        #datapoints = 110
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 2.66027e+07       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.707654

initial set of free parameter values

a               = 1
b               = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 522606
rel. change during last iteration : -2.76368e-07

degrees of freedom    (FIT_NDF)                        : 108
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 69.5625
variance of residuals (reduced chisquare) = WSSR/ndf   : 4838.94

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

a               = 8293.35          +/- 1.136e+04    (137%)
b               = 161.751          +/- 447          (276.4%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -1.000  1.000 


*******************************************************************************
Tue Oct 24 02:24:05 2017


FIT:    data read from "20171021-evolution1D_10x10_100Times.csv" every ::1 using 4:5
        format = x:z
        #datapoints = 110
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 2.65007e+07       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.996404

initial set of free parameter values

aa              = 1
bb              = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 275480
rel. change during last iteration : -7.75381e-07

degrees of freedom    (FIT_NDF)                        : 108
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 50.5049
variance of residuals (reduced chisquare) = WSSR/ndf   : 2550.74

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

aa              = 21432            +/- 2166         (10.11%)
bb              = -20789.6         +/- 2151         (10.34%)


correlation matrix of the fit parameters:

               aa     bb     
aa              1.000 
bb             -1.000  1.000 


*******************************************************************************
Tue Oct 24 02:24:05 2017


FIT:    data read from "20171021-evolution1D_10x10_100Times.csv" every ::1 using 4:6
        format = x:z
        #datapoints = 110
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 52657.4           delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.996404

initial set of free parameter values

aaa             = 1
bbb             = 1

After 6 iterations the fit converged.
final sum of squares of residuals : 7.2158
rel. change during last iteration : -9.86304e-13

degrees of freedom    (FIT_NDF)                        : 108
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.258482
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.066813

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

aaa             = -3144.2          +/- 11.09        (0.3526%)
bbb             = 3144.26          +/- 11.01        (0.35%)


correlation matrix of the fit parameters:

               aaa    bbb    
aaa             1.000 
bbb            -1.000  1.000