*******************************************************************************
Wed Oct 25 16:01:21 2017


FIT:    data read from "20171025-evolution3D_10x10x10_noFit.csv" every ::1 using 1:5
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 9.03463           delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.800174

initial set of free parameter values

a               = 1
b               = 1

After 4 iterations the fit converged.
final sum of squares of residuals : 0.760112
rel. change during last iteration : -7.81424e-14

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.435922
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.190028

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

a               = -0.500504        +/- 0.4333       (86.58%)
b               = 0.50226          +/- 0.2295       (45.7%)


correlation matrix of the fit parameters:

               a      b      
a               1.000 
b              -0.632  1.000 


*******************************************************************************
Wed Oct 25 16:01:21 2017


FIT:    data read from "20171025-evolution3D_10x10x10_noFit.csv" every ::1 using 3:5
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 9.042             delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.80039

initial set of free parameter values

aa              = 1
bb              = 1

After 4 iterations the fit converged.
final sum of squares of residuals : 0.760537
rel. change during last iteration : -7.73688e-14

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.436044
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.190134

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

aa              = -0.499395        +/- 0.4329       (86.68%)
bb              = 0.502057         +/- 0.2296       (45.72%)


correlation matrix of the fit parameters:

               aa     bb     
aa              1.000 
bb             -0.631  1.000 


*******************************************************************************
Wed Oct 25 16:01:21 2017


FIT:    data read from "20171025-evolution3D_10x10x10_noFit.csv" every ::1 using 3:4
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 9.04152           delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.80039

initial set of free parameter values

aaa             = 1
bbb             = 1

After 4 iterations the fit converged.
final sum of squares of residuals : 0.763537
rel. change during last iteration : -7.73556e-14

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.436903
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.190884

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

aaa             = -0.501106        +/- 0.4337       (86.55%)
bbb             = 0.503355         +/- 0.23         (45.7%)


correlation matrix of the fit parameters:

               aaa    bbb    
aaa             1.000 
bbb            -0.631  1.000 


*******************************************************************************
Wed Oct 25 16:01:21 2017


FIT:    data read from "20171025-evolution3D_10x10x10_noFit.csv" every ::1 using 2:4
        format = x:z
        #datapoints = 6
        residuals are weighted equally (unit weight)

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



 Iteration 0
 WSSR        : 9.04263           delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.800411

initial set of free parameter values

aaaa            = 1
bbbb            = 1

After 4 iterations the fit converged.
final sum of squares of residuals : 0.763697
rel. change during last iteration : -7.7194e-14

degrees of freedom    (FIT_NDF)                        : 4
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.436949
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.190924

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

aaaa            = -0.50098         +/- 0.4338       (86.59%)
bbbb            = 0.50338          +/- 0.2301       (45.71%)


correlation matrix of the fit parameters:

               aaaa   bbbb   
aaaa            1.000 
bbbb           -0.632  1.000