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