*******************************************************************************
Thu Oct  5 14:22:52 2017


FIT:    data read from "20171005-evolution1D_7x7_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 5.1103239746e+06   0.00e+00  7.07e-01    1.000000e+00   1.000000e+00
   5 1.3279798348e+05  -2.35e-06  7.07e-06   -5.771314e+02   2.408587e+02

After 5 iterations the fit converged.
final sum of squares of residuals : 132798
rel. change during last iteration : -2.35102e-11

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 36.8114
variance of residuals (reduced chisquare) = WSSR/ndf   : 1355.08

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = -577.131         +/- 1945         (337%)
b               = 240.859          +/- 56.49        (23.46%)

correlation matrix of the fit parameters:
                a      b      
a               1.000 
b              -0.998  1.000 


*******************************************************************************
Thu Oct  5 14:22:52 2017


FIT:    data read from "20171005-evolution1D_7x7_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 5.0689010815e+06   0.00e+00  9.80e-01    1.000000e+00   1.000000e+00
   5 9.8040471485e+04  -1.51e-05  9.80e-06    3.134345e+03  -2.780953e+03

After 5 iterations the fit converged.
final sum of squares of residuals : 98040.5
rel. change during last iteration : -1.51467e-10

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 31.6293
variance of residuals (reduced chisquare) = WSSR/ndf   : 1000.41

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
aa              = 3134.35          +/- 530.8        (16.94%)
bb              = -2780.95         +/- 509          (18.3%)

correlation matrix of the fit parameters:
                aa     bb     
aa              1.000 
bb             -1.000  1.000 


*******************************************************************************
Thu Oct  5 14:22:52 2017


FIT:    data read from "20171005-evolution1D_7x7_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 1.6606716013e+06   0.00e+00  9.80e-01    1.000000e+00   1.000000e+00
   5 3.7498507724e+00  -4.46e-01  9.80e-06   -3.142464e+03   3.142323e+03

After 5 iterations the fit converged.
final sum of squares of residuals : 3.74985
rel. change during last iteration : -4.45921e-06

degrees of freedom    (FIT_NDF)                        : 98
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.195611
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0382638

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
aaa             = -3142.46         +/- 3.283        (0.1045%)
bbb             = 3142.32          +/- 3.148        (0.1002%)

correlation matrix of the fit parameters:
                aaa    bbb    
aaa             1.000 
bbb            -1.000  1.000