masterarbeit/dokumentation/evolution1d/20171005-evolution1D_4x7_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_4x7_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 : 4.84531e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.707195
initial set of free parameter values
a = 1
b = 1
After 5 iterations the fit converged.
final sum of squares of residuals : 164095
rel. change during last iteration : -9.51617e-10
degrees of freedom (FIT_NDF) : 98
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 40.9199
variance of residuals (reduced chisquare) = WSSR/ndf : 1674.44
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = -3129.34 +/- 2384 (76.19%)
b = 266.32 +/- 37.57 (14.11%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.994 1.000
*******************************************************************************
Tue Oct 24 02:24:04 2017
FIT: data read from "20171005-evolution1D_4x7_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 : 4.80673e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.955501
initial set of free parameter values
aa = 1
bb = 1
After 5 iterations the fit converged.
final sum of squares of residuals : 158245
rel. change during last iteration : -3.07783e-12
degrees of freedom (FIT_NDF) : 98
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 40.1839
variance of residuals (reduced chisquare) = WSSR/ndf : 1614.75
Final set of parameters Asymptotic Standard Error
======================= ==========================
aa = 1317.6 +/- 566.5 (43%)
bb = -980.119 +/- 514.9 (52.53%)
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_4x7_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 : 8.13856e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.955501
initial set of free parameter values
aaa = 1
bbb = 1
After 5 iterations the fit converged.
final sum of squares of residuals : 21.9705
rel. change during last iteration : -1.62953e-07
degrees of freedom (FIT_NDF) : 98
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.473486
variance of residuals (reduced chisquare) = WSSR/ndf : 0.224189
Final set of parameters Asymptotic Standard Error
======================= ==========================
aaa = -3136.04 +/- 6.675 (0.2129%)
bbb = 3136.34 +/- 6.067 (0.1934%)
correlation matrix of the fit parameters:
aaa bbb
aaa 1.000
bbb -1.000 1.000