masterarbeit/dokumentation/evolution1d/20171020-evolution1D_5x5_100Times.gnuplot.fit.log

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2017-10-24 11:22:20 +00:00
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Tue Oct 24 02:24:04 2017
FIT: data read from "20171020-evolution1D_5x5_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 : 4.34137e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.707241
initial set of free parameter values
a = 1
b = 1
After 5 iterations the fit converged.
final sum of squares of residuals : 224042
rel. change during last iteration : -6.22481e-10
degrees of freedom (FIT_NDF) : 98
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 47.8136
variance of residuals (reduced chisquare) = WSSR/ndf : 2286.14
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = -3382.99 +/- 2656 (78.52%)
b = 269.51 +/- 51.79 (19.22%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.996 1.000
*******************************************************************************
Tue Oct 24 02:24:04 2017
FIT: data read from "20171020-evolution1D_5x5_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 : 4.30453e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.965399
initial set of free parameter values
aa = 1
bb = 1
After 5 iterations the fit converged.
final sum of squares of residuals : 224312
rel. change during last iteration : -4.70138e-12
degrees of freedom (FIT_NDF) : 98
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 47.8425
variance of residuals (reduced chisquare) = WSSR/ndf : 2288.9
Final set of parameters Asymptotic Standard Error
======================= ==========================
aa = 991.364 +/- 809 (81.6%)
bb = -717.625 +/- 752 (104.8%)
correlation matrix of the fit parameters:
aa bb
aa 1.000
bb -1.000 1.000
*******************************************************************************
Tue Oct 24 02:24:04 2017
FIT: data read from "20171020-evolution1D_5x5_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 : 4.85341e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.965399
initial set of free parameter values
aaa = 1
bbb = 1
After 5 iterations the fit converged.
final sum of squares of residuals : 4.99405
rel. change during last iteration : -2.82643e-06
degrees of freedom (FIT_NDF) : 98
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.225743
variance of residuals (reduced chisquare) = WSSR/ndf : 0.0509597
Final set of parameters Asymptotic Standard Error
======================= ==========================
aaa = -3144.45 +/- 3.817 (0.1214%)
bbb = 3144.19 +/- 3.548 (0.1128%)
correlation matrix of the fit parameters:
aaa bbb
aaa 1.000
bbb -1.000 1.000