******************************************************************************* Tue Oct 24 02:24:04 2017 FIT: data read from "20170830-evolution1D_5x5_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 : 4.26014e+06 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.707238 initial set of free parameter values a = 1 b = 1 After 5 iterations the fit converged. final sum of squares of residuals : 226345 rel. change during last iteration : -1.70837e-09 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 48.0587 variance of residuals (reduced chisquare) = WSSR/ndf : 2309.64 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -6597.96 +/- 2528 (38.31%) b = 328.15 +/- 48.77 (14.86%) correlation matrix of the fit parameters: a b a 1.000 b -0.995 1.000 ******************************************************************************* Tue Oct 24 02:24:04 2017 FIT: data read from "20170830-evolution1D_5x5_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 : 4.22366e+06 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.965827 initial set of free parameter values aa = 1 bb = 1 After 5 iterations the fit converged. final sum of squares of residuals : 200034 rel. change during last iteration : -5.28884e-11 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 45.1792 variance of residuals (reduced chisquare) = WSSR/ndf : 2041.16 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 3323.53 +/- 732.3 (22.03%) bb = -2890.68 +/- 681.3 (23.57%) 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 "20170830-evolution1D_5x5_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 : 4.73621e+06 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.965827 initial set of free parameter values aaa = 1 bbb = 1 After 5 iterations the fit converged. final sum of squares of residuals : 6.41022 rel. change during last iteration : -1.67651e-06 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.255755 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0654104 Final set of parameters Asymptotic Standard Error ======================= ========================== aaa = -3139.34 +/- 4.145 (0.132%) bbb = 3139.48 +/- 3.857 (0.1228%) correlation matrix of the fit parameters: aaa bbb aaa 1.000 bbb -1.000 1.000