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


FIT:    data read from "20171020-evolution1D_4x7_100Times_addedOne.csv" every ::1 using 2:5
        format = x:z
        #datapoints = 110
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 6.53142e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.707163

initial set of free parameter values

a               = 1
b               = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 199691
rel. change during last iteration : -1.72988e-09

degrees of freedom    (FIT_NDF)                        : 108
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 42.9999
variance of residuals (reduced chisquare) = WSSR/ndf   : 1848.99

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

a               = -5255.52         +/- 2401         (45.69%)
b               = 306.262          +/- 30.21        (9.863%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.991  1.000 


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


FIT:    data read from "20171020-evolution1D_4x7_100Times_addedOne.csv" every ::1 using 4:5
        format = x:z
        #datapoints = 110
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 6.48107e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.984575

initial set of free parameter values

aa              = 1
bb              = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 204796
rel. change during last iteration : -1.36705e-09

degrees of freedom    (FIT_NDF)                        : 108
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 43.5461
variance of residuals (reduced chisquare) = WSSR/ndf   : 1896.26

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

aa              = 1953.98          +/- 1389         (71.09%)
bb              = -1652.44         +/- 1346         (81.45%)


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_4x7_100Times_addedOne.csv" every ::1 using 4:6
        format = x:z
        #datapoints = 110
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 9.19699e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.984575

initial set of free parameter values

aaa             = 1
bbb             = 1

After 6 iterations the fit converged.
final sum of squares of residuals : 25.9742
rel. change during last iteration : -3.36475e-14

degrees of freedom    (FIT_NDF)                        : 108
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.49041
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.240502

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

aaa             = -9329.24         +/- 15.64        (0.1677%)
bbb             = 9328.88          +/- 15.16        (0.1625%)


correlation matrix of the fit parameters:

               aaa    bbb    
aaa             1.000 
bbb            -1.000  1.000