

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


FIT:    data read from "20171005-evolution1D_7x4_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        : 4.20596e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.707197

initial set of free parameter values

a               = 1
b               = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 161579
rel. change during last iteration : -1.2809e-09

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 40.6049
variance of residuals (reduced chisquare) = WSSR/ndf   : 1648.76

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

a               = -3703.04         +/- 2343         (63.28%)
b               = 260.954          +/- 37.51        (14.38%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.994  1.000 


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


FIT:    data read from "20171005-evolution1D_7x4_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        : 4.16946e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.963614

initial set of free parameter values

aa              = 1
bb              = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 160881
rel. change during last iteration : -2.98408e-10

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 40.5172
variance of residuals (reduced chisquare) = WSSR/ndf   : 1641.65

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

aa              = 1779.07          +/- 1039         (58.39%)
bb              = -1445.03         +/- 961.8        (66.56%)


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_7x4_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        : 5.35889e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.963614

initial set of free parameter values

aaa             = 1
bbb             = 1

After 6 iterations the fit converged.
final sum of squares of residuals : 5.46947
rel. change during last iteration : -5.95966e-14

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.236243
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0558109

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

aaa             = -3141.93         +/- 6.057        (0.1928%)
bbb             = 3141.87          +/- 5.608        (0.1785%)


correlation matrix of the fit parameters:

               aaa    bbb    
aaa             1.000 
bbb            -1.000  1.000 
