******************************************************************************* Mon Oct 23 12:06:26 2017 FIT: data read from "20171021-evolution3D_6x6_100Times.csv" every ::1 using 1:5 format = x:z #datapoints = 110 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 3.41837e+07 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.707107 initial set of free parameter values a = 1 b = 1 After 3 iterations the fit converged. final sum of squares of residuals : 2.82403e+06 rel. change during last iteration : -2.99991e-06 degrees of freedom (FIT_NDF) : 108 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 161.705 variance of residuals (reduced chisquare) = WSSR/ndf : 26148.4 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 295.027 +/- 2.748e+06 (9.313e+05%) b = 534.921 +/- 147.5 (27.58%) correlation matrix of the fit parameters: a b a 1.000 b -0.995 1.000 ******************************************************************************* Mon Oct 23 12:06:26 2017 FIT: data read from "20171021-evolution3D_6x6_100Times.csv" every ::1 using 3:5 format = x:z #datapoints = 110 residuals are weighted equally (unit weight) function used for fitting: g(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 3.40877e+07 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.91346 initial set of free parameter values aa = 1 bb = 1 After 5 iterations the fit converged. final sum of squares of residuals : 2.78082e+06 rel. change during last iteration : -3.34692e-12 degrees of freedom (FIT_NDF) : 108 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 160.463 variance of residuals (reduced chisquare) = WSSR/ndf : 25748.3 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 3735.6 +/- 2883 (77.19%) bb = -2520.03 +/- 2358 (93.57%) correlation matrix of the fit parameters: aa bb aa 1.000 bb -1.000 1.000 ******************************************************************************* Mon Oct 23 12:06:26 2017 FIT: data read from "20171021-evolution3D_6x6_100Times.csv" every ::1 using 3:4 format = x:z #datapoints = 110 residuals are weighted equally (unit weight) function used for fitting: h(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 413045 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.91346 initial set of free parameter values aaa = 1 bbb = 1 After 4 iterations the fit converged. final sum of squares of residuals : 3575.34 rel. change during last iteration : -2.68313e-07 degrees of freedom (FIT_NDF) : 108 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.7537 variance of residuals (reduced chisquare) = WSSR/ndf : 33.105 Final set of parameters Asymptotic Standard Error ======================= ========================== aaa = 15.0528 +/- 103.4 (686.9%) bbb = 50.5195 +/- 84.55 (167.4%) correlation matrix of the fit parameters: aaa bbb aaa 1.000 bbb -1.000 1.000