masterarbeit/dokumentation/evolution1d/20171005-evolution1D_7x7_100Times.gnuplot.fit.log
2017-10-24 13:22:20 +02:00

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Tue Oct 24 02:24:04 2017
FIT: data read from "20171005-evolution1D_7x7_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 : 5.11032e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.707405
initial set of free parameter values
a = 1
b = 1
After 5 iterations the fit converged.
final sum of squares of residuals : 132798
rel. change during last iteration : -2.35098e-11
degrees of freedom (FIT_NDF) : 98
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 36.8114
variance of residuals (reduced chisquare) = WSSR/ndf : 1355.08
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = -577.131 +/- 1945 (337%)
b = 240.859 +/- 56.49 (23.46%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.998 1.000
*******************************************************************************
Tue Oct 24 02:24:04 2017
FIT: data read from "20171005-evolution1D_7x7_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 : 5.0689e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.979606
initial set of free parameter values
aa = 1
bb = 1
After 5 iterations the fit converged.
final sum of squares of residuals : 98040.5
rel. change during last iteration : -1.51467e-10
degrees of freedom (FIT_NDF) : 98
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 31.6293
variance of residuals (reduced chisquare) = WSSR/ndf : 1000.41
Final set of parameters Asymptotic Standard Error
======================= ==========================
aa = 3134.35 +/- 530.8 (16.94%)
bb = -2780.95 +/- 509 (18.3%)
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 "20171005-evolution1D_7x7_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 : 1.66067e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.979606
initial set of free parameter values
aaa = 1
bbb = 1
After 5 iterations the fit converged.
final sum of squares of residuals : 3.74985
rel. change during last iteration : -4.45921e-06
degrees of freedom (FIT_NDF) : 98
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.195611
variance of residuals (reduced chisquare) = WSSR/ndf : 0.0382638
Final set of parameters Asymptotic Standard Error
======================= ==========================
aaa = -3142.46 +/- 3.283 (0.1045%)
bbb = 3142.32 +/- 3.148 (0.1002%)
correlation matrix of the fit parameters:
aaa bbb
aaa 1.000
bbb -1.000 1.000