

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


FIT:    data read from "20171023-evolution1D_5x5_wrong_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        : 3.5353e+06        delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.707338

initial set of free parameter values

a               = 1
b               = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 121331
rel. change during last iteration : -3.88287e-08

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 35.1863
variance of residuals (reduced chisquare) = WSSR/ndf   : 1238.07

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

a               = -3758.73         +/- 3692         (98.23%)
b               = 281.922          +/- 94.53        (33.53%)


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_wrong_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        : 3.50175e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.968323

initial set of free parameter values

aa              = 1
bb              = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 120856
rel. change during last iteration : -1.15804e-09

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 35.1173
variance of residuals (reduced chisquare) = WSSR/ndf   : 1233.22

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

aa              = 1396.7           +/- 1170         (83.75%)
bb              = -1120.95         +/- 1094         (97.63%)


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_wrong_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        : 4.02742e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.968323

initial set of free parameter values

aaa             = 1
bbb             = 1

After 6 iterations the fit converged.
final sum of squares of residuals : 8.64172
rel. change during last iteration : -1.2025e-13

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.296953
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0881808

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

aaa             = -3142.35         +/- 9.891        (0.3148%)
bbb             = 3142.28          +/- 9.254        (0.2945%)


correlation matrix of the fit parameters:

               aaa    bbb    
aaa             1.000 
bbb            -1.000  1.000 
