*******************************************************************************
Fri Oct 27 14:09:08 2017


FIT:    data read from "20171021-evolution3D_6x6_100Times.csv" every ::1 using 1:5
        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        : 3.41837e+07       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.707107

initial set of free parameter values

a               = 1
b               = 1

After 3 iterations the fit converged.
final sum of squares of residuals : 2.82403e+06
rel. change during last iteration : -2.99991e-06

degrees of freedom    (FIT_NDF)                        : 108
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 161.705
variance of residuals (reduced chisquare) = WSSR/ndf   : 26148.4

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

a               = 295.027          +/- 2.748e+06    (9.313e+05%)
b               = 534.921          +/- 147.5        (27.58%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.995  1.000 


*******************************************************************************
Fri Oct 27 14:09:08 2017


FIT:    data read from "20171021-evolution3D_6x6_100Times.csv" every ::1 using 3:5
        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        : 3.40877e+07       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.91346

initial set of free parameter values

aa              = 1
bb              = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 2.78082e+06
rel. change during last iteration : -3.34692e-12

degrees of freedom    (FIT_NDF)                        : 108
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 160.463
variance of residuals (reduced chisquare) = WSSR/ndf   : 25748.3

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

aa              = 3735.6           +/- 2883         (77.19%)
bb              = -2520.03         +/- 2358         (93.57%)


correlation matrix of the fit parameters:

               aa     bb     
aa              1.000 
bb             -1.000  1.000 


*******************************************************************************
Fri Oct 27 14:09:08 2017


FIT:    data read from "20171021-evolution3D_6x6_100Times.csv" every ::1 using 3:4
        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        : 413045            delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.91346

initial set of free parameter values

aaa             = 1
bbb             = 1

After 4 iterations the fit converged.
final sum of squares of residuals : 3575.34
rel. change during last iteration : -2.68313e-07

degrees of freedom    (FIT_NDF)                        : 108
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 5.7537
variance of residuals (reduced chisquare) = WSSR/ndf   : 33.105

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

aaa             = 15.0528          +/- 103.4        (686.9%)
bbb             = 50.5195          +/- 84.55        (167.4%)


correlation matrix of the fit parameters:

               aaa    bbb    
aaa             1.000 
bbb            -1.000  1.000 


*******************************************************************************
Fri Oct 27 14:09:08 2017


FIT:    data read from "20171021-evolution3D_6x6_100Times.csv" every ::1 using 2:4
        format = x:z
        #datapoints = 110
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 423824            delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.707248

initial set of free parameter values

aaaa            = 1
bbbb            = 1

After 3 iterations the fit converged.
final sum of squares of residuals : 3576.05
rel. change during last iteration : -4.97138e-12

degrees of freedom    (FIT_NDF)                        : 108
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 5.75426
variance of residuals (reduced chisquare) = WSSR/ndf   : 33.1115

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

aaaa            = 2.2349           +/- 2.531e+16    (1.133e+18%)
bbbb            = 62.785           +/- 5.059e+14    (8.058e+14%)


correlation matrix of the fit parameters:

               aaaa   bbbb   
aaaa            1.000 
bbbb           -1.000  1.000