******************************************************************************* Tue Oct 24 02:24:04 2017 FIT: data read from "20171020-evolution1D_5x5_100Times_2.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 : 4.55694e+06 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.707198 initial set of free parameter values a = 1 b = 1 After 5 iterations the fit converged. final sum of squares of residuals : 271763 rel. change during last iteration : -1.01351e-09 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 52.6602 variance of residuals (reduced chisquare) = WSSR/ndf : 2773.1 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -5580.61 +/- 2768 (49.6%) b = 296.806 +/- 44.49 (14.99%) correlation matrix of the fit parameters: a b a 1.000 b -0.993 1.000 ******************************************************************************* Tue Oct 24 02:24:04 2017 FIT: data read from "20171020-evolution1D_5x5_100Times_2.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 : 4.51925e+06 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.964973 initial set of free parameter values aa = 1 bb = 1 After 5 iterations the fit converged. final sum of squares of residuals : 233709 rel. change during last iteration : -1.76515e-11 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 48.8343 variance of residuals (reduced chisquare) = WSSR/ndf : 2384.79 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 3176.73 +/- 698.5 (21.99%) bb = -2742.16 +/- 648.7 (23.65%) 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 "20171020-evolution1D_5x5_100Times_2.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 : 4.99472e+06 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.964973 initial set of free parameter values aaa = 1 bbb = 1 After 5 iterations the fit converged. final sum of squares of residuals : 10.1354 rel. change during last iteration : -4.55776e-07 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.321593 variance of residuals (reduced chisquare) = WSSR/ndf : 0.103422 Final set of parameters Asymptotic Standard Error ======================= ========================== aaa = -3140.1 +/- 4.6 (0.1465%) bbb = 3140.23 +/- 4.272 (0.136%) correlation matrix of the fit parameters: aaa bbb aaa 1.000 bbb -1.000 1.000