139 lines
3.9 KiB
Plaintext
139 lines
3.9 KiB
Plaintext
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*******************************************************************************
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Tue Oct 24 02:24:05 2017
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FIT: data read from "20171023-evolution1D_5x5_wrong_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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fitted parameters initialized with current variable values
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Iteration 0
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WSSR : 3.5353e+06 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.707338
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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 : 121331
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rel. change during last iteration : -3.88287e-08
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 35.1863
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variance of residuals (reduced chisquare) = WSSR/ndf : 1238.07
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = -3758.73 +/- 3692 (98.23%)
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b = 281.922 +/- 94.53 (33.53%)
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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 -0.999 1.000
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*******************************************************************************
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Tue Oct 24 02:24:05 2017
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FIT: data read from "20171023-evolution1D_5x5_wrong_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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fitted parameters initialized with current variable values
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Iteration 0
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WSSR : 3.50175e+06 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.968323
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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 : 120856
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rel. change during last iteration : -1.15804e-09
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 35.1173
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variance of residuals (reduced chisquare) = WSSR/ndf : 1233.22
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aa = 1396.7 +/- 1170 (83.75%)
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bb = -1120.95 +/- 1094 (97.63%)
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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 02:24:05 2017
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FIT: data read from "20171023-evolution1D_5x5_wrong_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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fitted parameters initialized with current variable values
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Iteration 0
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WSSR : 4.02742e+06 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.968323
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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 6 iterations the fit converged.
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final sum of squares of residuals : 8.64172
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rel. change during last iteration : -1.2025e-13
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.296953
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variance of residuals (reduced chisquare) = WSSR/ndf : 0.0881808
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aaa = -3142.35 +/- 9.891 (0.3148%)
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bbb = 3142.28 +/- 9.254 (0.2945%)
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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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