masterarbeit/dokumentation/evolution1d/20171023-evolution1D_5x5_wrong_100Times.gnuplot.fit.log
2017-10-24 13:22:20 +02:00

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Tue Oct 24 02:24:05 2017
FIT: data read from "20171023-evolution1D_5x5_wrong_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 : 3.5353e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.707338
initial set of free parameter values
a = 1
b = 1
After 5 iterations the fit converged.
final sum of squares of residuals : 121331
rel. change during last iteration : -3.88287e-08
degrees of freedom (FIT_NDF) : 98
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 35.1863
variance of residuals (reduced chisquare) = WSSR/ndf : 1238.07
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = -3758.73 +/- 3692 (98.23%)
b = 281.922 +/- 94.53 (33.53%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.999 1.000
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Tue Oct 24 02:24:05 2017
FIT: data read from "20171023-evolution1D_5x5_wrong_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 : 3.50175e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.968323
initial set of free parameter values
aa = 1
bb = 1
After 5 iterations the fit converged.
final sum of squares of residuals : 120856
rel. change during last iteration : -1.15804e-09
degrees of freedom (FIT_NDF) : 98
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 35.1173
variance of residuals (reduced chisquare) = WSSR/ndf : 1233.22
Final set of parameters Asymptotic Standard Error
======================= ==========================
aa = 1396.7 +/- 1170 (83.75%)
bb = -1120.95 +/- 1094 (97.63%)
correlation matrix of the fit parameters:
aa bb
aa 1.000
bb -1.000 1.000
*******************************************************************************
Tue Oct 24 02:24:05 2017
FIT: data read from "20171023-evolution1D_5x5_wrong_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 : 4.02742e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.968323
initial set of free parameter values
aaa = 1
bbb = 1
After 6 iterations the fit converged.
final sum of squares of residuals : 8.64172
rel. change during last iteration : -1.2025e-13
degrees of freedom (FIT_NDF) : 98
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.296953
variance of residuals (reduced chisquare) = WSSR/ndf : 0.0881808
Final set of parameters Asymptotic Standard Error
======================= ==========================
aaa = -3142.35 +/- 9.891 (0.3148%)
bbb = 3142.28 +/- 9.254 (0.2945%)
correlation matrix of the fit parameters:
aaa bbb
aaa 1.000
bbb -1.000 1.000