

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


FIT:    data read from "20171005-evolution1D_4x7_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        : 4.84531e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.707195

initial set of free parameter values

a               = 1
b               = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 164095
rel. change during last iteration : -9.51617e-10

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 40.9199
variance of residuals (reduced chisquare) = WSSR/ndf   : 1674.44

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

a               = -3129.34         +/- 2384         (76.19%)
b               = 266.32           +/- 37.57        (14.11%)


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_4x7_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        : 4.80673e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.955501

initial set of free parameter values

aa              = 1
bb              = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 158245
rel. change during last iteration : -3.07783e-12

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 40.1839
variance of residuals (reduced chisquare) = WSSR/ndf   : 1614.75

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

aa              = 1317.6           +/- 566.5        (43%)
bb              = -980.119         +/- 514.9        (52.53%)


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_4x7_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        : 8.13856e+06       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-05
 lambda	  : 0.955501

initial set of free parameter values

aaa             = 1
bbb             = 1

After 5 iterations the fit converged.
final sum of squares of residuals : 21.9705
rel. change during last iteration : -1.62953e-07

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.473486
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.224189

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

aaa             = -3136.04         +/- 6.675        (0.2129%)
bbb             = 3136.34          +/- 6.067        (0.1934%)


correlation matrix of the fit parameters:

               aaa    bbb    
aaa             1.000 
bbb            -1.000  1.000 
