109 lines
3.8 KiB
Plaintext
109 lines
3.8 KiB
Plaintext
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*******************************************************************************
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Thu Oct 5 14:22:52 2017
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FIT: data read from "20171005-evolution1D_7x7_100Times.csv" every ::1 using 2:5
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format = x:z
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#datapoints = 100
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residuals are weighted equally (unit weight)
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function used for fitting: f(x)
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f(x)=a*x+b
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fitted parameters initialized with current variable values
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iter chisq delta/lim lambda a b
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0 5.1103239746e+06 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00
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5 1.3279798348e+05 -2.35e-06 7.07e-06 -5.771314e+02 2.408587e+02
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After 5 iterations the fit converged.
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final sum of squares of residuals : 132798
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rel. change during last iteration : -2.35102e-11
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 36.8114
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variance of residuals (reduced chisquare) = WSSR/ndf : 1355.08
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = -577.131 +/- 1945 (337%)
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b = 240.859 +/- 56.49 (23.46%)
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correlation matrix of the fit parameters:
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a b
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a 1.000
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b -0.998 1.000
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*******************************************************************************
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Thu Oct 5 14:22:52 2017
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FIT: data read from "20171005-evolution1D_7x7_100Times.csv" every ::1 using 4:5
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format = x:z
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#datapoints = 100
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residuals are weighted equally (unit weight)
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function used for fitting: g(x)
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g(x)=aa*x+bb
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fitted parameters initialized with current variable values
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iter chisq delta/lim lambda aa bb
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0 5.0689010815e+06 0.00e+00 9.80e-01 1.000000e+00 1.000000e+00
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5 9.8040471485e+04 -1.51e-05 9.80e-06 3.134345e+03 -2.780953e+03
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After 5 iterations the fit converged.
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final sum of squares of residuals : 98040.5
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rel. change during last iteration : -1.51467e-10
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 31.6293
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variance of residuals (reduced chisquare) = WSSR/ndf : 1000.41
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aa = 3134.35 +/- 530.8 (16.94%)
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bb = -2780.95 +/- 509 (18.3%)
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correlation matrix of the fit parameters:
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aa bb
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aa 1.000
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bb -1.000 1.000
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*******************************************************************************
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Thu Oct 5 14:22:52 2017
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FIT: data read from "20171005-evolution1D_7x7_100Times.csv" every ::1 using 4:6
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format = x:z
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#datapoints = 100
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residuals are weighted equally (unit weight)
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function used for fitting: h(x)
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h(x)=aaa*x+bbb
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fitted parameters initialized with current variable values
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iter chisq delta/lim lambda aaa bbb
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0 1.6606716013e+06 0.00e+00 9.80e-01 1.000000e+00 1.000000e+00
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5 3.7498507724e+00 -4.46e-01 9.80e-06 -3.142464e+03 3.142323e+03
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After 5 iterations the fit converged.
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final sum of squares of residuals : 3.74985
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rel. change during last iteration : -4.45921e-06
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.195611
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variance of residuals (reduced chisquare) = WSSR/ndf : 0.0382638
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aaa = -3142.46 +/- 3.283 (0.1045%)
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bbb = 3142.32 +/- 3.148 (0.1002%)
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correlation matrix of the fit parameters:
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aaa bbb
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aaa 1.000
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bbb -1.000 1.000
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