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


FIT:    data read from "20170830-evolution1D_5x5_100Times-all.csv" every ::1 using 2:5
        format = x:z
        #datapoints = 200
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 8.65799e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.707234

initial set of free parameter values

a               = 1
b               = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 387750
rel. change during last iteration : -1.80465e-10

degrees of freedom    (FIT_NDF)                        : 198
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 44.2531
variance of residuals (reduced chisquare) = WSSR/ndf   : 1958.33

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

a               = -7207.93         +/- 1699         (23.57%)
b               = 339.971          +/- 32.22        (9.477%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.995  1.000 


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


FIT:    data read from "20170830-evolution1D_5x5_100Times-all.csv" every ::1 using 4:5
        format = x:z
        #datapoints = 200
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 8.58412e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.965888

initial set of free parameter values

aa              = 1
bb              = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 374307
rel. change during last iteration : -1.28123e-12

degrees of freedom    (FIT_NDF)                        : 198
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 43.4792
variance of residuals (reduced chisquare) = WSSR/ndf   : 1890.44

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

aa              = 2485.68          +/- 489.8        (19.71%)
bb              = -2109            +/- 455.8        (21.61%)


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 "20170830-evolution1D_5x5_100Times-all.csv" every ::1 using 4:6
        format = x:z
        #datapoints = 200
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 9.43971e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.965888

initial set of free parameter values

aaa             = 1
bbb             = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 11.3578
rel. change during last iteration : -7.81502e-08

degrees of freedom    (FIT_NDF)                        : 198
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.239505
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0573625

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

aaa             = -3135.44         +/- 2.698        (0.08605%)
bbb             = 3135.83          +/- 2.511        (0.08006%)


correlation matrix of the fit parameters:

               aaa    bbb    
aaa             1.000 
bbb            -1.000  1.000