

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


FIT:    data read from "20171020-evolution1D_5x5_100Times_2.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        : 4.55694e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.707198

initial set of free parameter values

a               = 1
b               = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 271763
rel. change during last iteration : -1.01351e-09

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 52.6602
variance of residuals (reduced chisquare) = WSSR/ndf   : 2773.1

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

a               = -5580.61         +/- 2768         (49.6%)
b               = 296.806          +/- 44.49        (14.99%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.993  1.000 


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


FIT:    data read from "20171020-evolution1D_5x5_100Times_2.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        : 4.51925e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.964973

initial set of free parameter values

aa              = 1
bb              = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 233709
rel. change during last iteration : -1.76515e-11

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 48.8343
variance of residuals (reduced chisquare) = WSSR/ndf   : 2384.79

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

aa              = 3176.73          +/- 698.5        (21.99%)
bb              = -2742.16         +/- 648.7        (23.65%)


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_2.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        : 4.99472e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.964973

initial set of free parameter values

aaa             = 1
bbb             = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 10.1354
rel. change during last iteration : -4.55776e-07

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.321593
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.103422

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

aaa             = -3140.1          +/- 4.6          (0.1465%)
bbb             = 3140.23          +/- 4.272        (0.136%)


correlation matrix of the fit parameters:

               aaa    bbb    
aaa             1.000 
bbb            -1.000  1.000 
