

*******************************************************************************
Thu Oct  5 14:02:37 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)
	f(x)=a*x+b
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a             b            
   0 4.2059624024e+06   0.00e+00  7.07e-01    1.000000e+00   1.000000e+00
   5 1.6157855782e+05  -1.28e-04  7.07e-06   -3.703035e+03   2.609538e+02

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 


*******************************************************************************
Thu Oct  5 14:02:37 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)
	g(x)=aa*x+bb
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   aa            bb           
   0 4.1694597860e+06   0.00e+00  9.64e-01    1.000000e+00   1.000000e+00
   5 1.6088124752e+05  -2.98e-05  9.64e-06    1.779074e+03  -1.445031e+03

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 


*******************************************************************************
Thu Oct  5 14:02:37 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)
	h(x)=aaa*x+bbb
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   aaa           bbb          
   0 5.3588910602e+06   0.00e+00  9.64e-01    1.000000e+00   1.000000e+00
   6 5.4694656646e+00  -5.96e-09  9.64e-07   -3.141932e+03   3.141867e+03

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 
