

*******************************************************************************
Tue Oct 24 02:24:05 2017


FIT:    data read from "20171023-evolution1D_10x10_wrong_100Times.csv" every ::1 using 2:5
        format = x:z
        #datapoints = 20
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 4.74416e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.707652

initial set of free parameter values

a               = 1
b               = 1

After 6 iterations the fit converged.
final sum of squares of residuals : 49777.9
rel. change during last iteration : -1.93223e-11

degrees of freedom    (FIT_NDF)                        : 18
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 52.5874
variance of residuals (reduced chisquare) = WSSR/ndf   : 2765.44

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

a               = -12290           +/- 1.789e+04    (145.6%)
b               = 968.322          +/- 703          (72.6%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -1.000  1.000 


*******************************************************************************
Tue Oct 24 02:24:05 2017


FIT:    data read from "20171023-evolution1D_10x10_wrong_100Times.csv" every ::1 using 4:5
        format = x:z
        #datapoints = 20
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 4.72568e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.996774

initial set of free parameter values

aa              = 1
bb              = 1

After 6 iterations the fit converged.
final sum of squares of residuals : 30698.4
rel. change during last iteration : -8.95075e-11

degrees of freedom    (FIT_NDF)                        : 18
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 41.2973
variance of residuals (reduced chisquare) = WSSR/ndf   : 1705.47

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

aa              = 20119.8          +/- 5820         (28.92%)
bb              = -19504.3         +/- 5782         (29.64%)


correlation matrix of the fit parameters:

               aa     bb     
aa              1.000 
bb             -1.000  1.000 


*******************************************************************************
Tue Oct 24 02:24:05 2017


FIT:    data read from "20171023-evolution1D_10x10_wrong_100Times.csv" every ::1 using 4:6
        format = x:z
        #datapoints = 20
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 7308.82           delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.996774

initial set of free parameter values

aaa             = 1
bbb             = 1

After 6 iterations the fit converged.
final sum of squares of residuals : 1.57499
rel. change during last iteration : -4.56369e-08

degrees of freedom    (FIT_NDF)                        : 18
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.295803
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0874997

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

aaa             = -3204.92         +/- 41.68        (1.301%)
bbb             = 3204.63          +/- 41.42        (1.292%)


correlation matrix of the fit parameters:

               aaa    bbb    
aaa             1.000 
bbb            -1.000  1.000 
