

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


FIT:    data read from "20171005-evolution1D_7x7_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        : 5.11032e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.707405

initial set of free parameter values

a               = 1
b               = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 132798
rel. change during last iteration : -2.35098e-11

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 36.8114
variance of residuals (reduced chisquare) = WSSR/ndf   : 1355.08

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

a               = -577.131         +/- 1945         (337%)
b               = 240.859          +/- 56.49        (23.46%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.998  1.000 


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


FIT:    data read from "20171005-evolution1D_7x7_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        : 5.0689e+06        delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.979606

initial set of free parameter values

aa              = 1
bb              = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 98040.5
rel. change during last iteration : -1.51467e-10

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 31.6293
variance of residuals (reduced chisquare) = WSSR/ndf   : 1000.41

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

aa              = 3134.35          +/- 530.8        (16.94%)
bb              = -2780.95         +/- 509          (18.3%)


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 "20171005-evolution1D_7x7_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        : 1.66067e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.979606

initial set of free parameter values

aaa             = 1
bbb             = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 3.74985
rel. change during last iteration : -4.45921e-06

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.195611
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0382638

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

aaa             = -3142.46         +/- 3.283        (0.1045%)
bbb             = 3142.32          +/- 3.148        (0.1002%)


correlation matrix of the fit parameters:

               aaa    bbb    
aaa             1.000 
bbb            -1.000  1.000 
