

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


FIT:    data read from "20171023-evolution1D_5x5_100Times.csv" every ::1 using 2:5
        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        : 3.44287e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.707341

initial set of free parameter values

a               = 1
b               = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 79495.5
rel. change during last iteration : -9.96447e-08

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 28.4812
variance of residuals (reduced chisquare) = WSSR/ndf   : 811.179

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

a               = 4931.08          +/- 2977         (60.37%)
b               = 57.4345          +/- 76.68        (133.5%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.999  1.000 


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


FIT:    data read from "20171023-evolution1D_5x5_100Times.csv" every ::1 using 4:5
        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        : 3.40953e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.969131

initial set of free parameter values

aa              = 1
bb              = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 80905
rel. change during last iteration : -4.14192e-09

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 28.7326
variance of residuals (reduced chisquare) = WSSR/ndf   : 825.562

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

aa              = -1139.84         +/- 1146         (100.6%)
bb              = 1252.67          +/- 1075         (85.78%)


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 "20171023-evolution1D_5x5_100Times.csv" every ::1 using 4:6
        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        : 4.07511e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.969131

initial set of free parameter values

aaa             = 1
bbb             = 1

After 6 iterations the fit converged.
final sum of squares of residuals : 11.1585
rel. change during last iteration : -3.20773e-13

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.337435
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.113863

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

aaa             = -3250.66         +/- 13.46        (0.4142%)
bbb             = 3250.3           +/- 12.62        (0.3883%)


correlation matrix of the fit parameters:

               aaa    bbb    
aaa             1.000 
bbb            -1.000  1.000 
