

*******************************************************************************
Tue Oct 24 02:24:04 2017


FIT:    data read from "20171020-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        : 4.34137e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.707241

initial set of free parameter values

a               = 1
b               = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 224042
rel. change during last iteration : -6.22481e-10

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 47.8136
variance of residuals (reduced chisquare) = WSSR/ndf   : 2286.14

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

a               = -3382.99         +/- 2656         (78.52%)
b               = 269.51           +/- 51.79        (19.22%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.996  1.000 


*******************************************************************************
Tue Oct 24 02:24:04 2017


FIT:    data read from "20171020-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        : 4.30453e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.965399

initial set of free parameter values

aa              = 1
bb              = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 224312
rel. change during last iteration : -4.70138e-12

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 47.8425
variance of residuals (reduced chisquare) = WSSR/ndf   : 2288.9

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

aa              = 991.364          +/- 809          (81.6%)
bb              = -717.625         +/- 752          (104.8%)


correlation matrix of the fit parameters:

               aa     bb     
aa              1.000 
bb             -1.000  1.000 


*******************************************************************************
Tue Oct 24 02:24:04 2017


FIT:    data read from "20171020-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        : 4.85341e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.965399

initial set of free parameter values

aaa             = 1
bbb             = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 4.99405
rel. change during last iteration : -2.82643e-06

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.225743
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0509597

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

aaa             = -3144.45         +/- 3.817        (0.1214%)
bbb             = 3144.19          +/- 3.548        (0.1128%)


correlation matrix of the fit parameters:

               aaa    bbb    
aaa             1.000 
bbb            -1.000  1.000 
