masterarbeit/dokumentation/evolution1d/20171021-evolution1D_10x10_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 "20171021-evolution1D_10x10_100Times.csv" every ::1 using 2:5
format = x:z
#datapoints = 110
residuals are weighted equally (unit weight)
function used for fitting: f(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 2.66027e+07 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.707654
initial set of free parameter values
a = 1
b = 1
After 5 iterations the fit converged.
final sum of squares of residuals : 522606
rel. change during last iteration : -2.76368e-07
degrees of freedom (FIT_NDF) : 108
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 69.5625
variance of residuals (reduced chisquare) = WSSR/ndf : 4838.94
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = 8293.35 +/- 1.136e+04 (137%)
b = 161.751 +/- 447 (276.4%)
correlation matrix of the fit parameters:
a b
a 1.000
b -1.000 1.000
*******************************************************************************
Tue Oct 24 02:24:05 2017
FIT: data read from "20171021-evolution1D_10x10_100Times.csv" every ::1 using 4:5
format = x:z
#datapoints = 110
residuals are weighted equally (unit weight)
function used for fitting: g(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 2.65007e+07 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.996404
initial set of free parameter values
aa = 1
bb = 1
After 5 iterations the fit converged.
final sum of squares of residuals : 275480
rel. change during last iteration : -7.75381e-07
degrees of freedom (FIT_NDF) : 108
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 50.5049
variance of residuals (reduced chisquare) = WSSR/ndf : 2550.74
Final set of parameters Asymptotic Standard Error
======================= ==========================
aa = 21432 +/- 2166 (10.11%)
bb = -20789.6 +/- 2151 (10.34%)
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 "20171021-evolution1D_10x10_100Times.csv" every ::1 using 4:6
format = x:z
#datapoints = 110
residuals are weighted equally (unit weight)
function used for fitting: h(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 52657.4 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.996404
initial set of free parameter values
aaa = 1
bbb = 1
After 6 iterations the fit converged.
final sum of squares of residuals : 7.2158
rel. change during last iteration : -9.86304e-13
degrees of freedom (FIT_NDF) : 108
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.258482
variance of residuals (reduced chisquare) = WSSR/ndf : 0.066813
Final set of parameters Asymptotic Standard Error
======================= ==========================
aaa = -3144.2 +/- 11.09 (0.3526%)
bbb = 3144.26 +/- 11.01 (0.35%)
correlation matrix of the fit parameters:
aaa bbb
aaa 1.000
bbb -1.000 1.000