masterarbeit/dokumentation/evolution3d/all.gnuplot.log

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2017-10-25 18:40:51 +00:00
Iteration 0
WSSR : 2.69952e+09 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.707107
initial set of free parameter values
a = 1
b = 1
/
Iteration 1
WSSR : 6.0511e+08 delta(WSSR)/WSSR : -3.4612
delta(WSSR) : -2.09441e+09 limit for stopping : 1e-05
lambda : 0.0707107
resultant parameter values
a = -9.15081
b = 1517.25
/
Iteration 2
WSSR : 6.05099e+08 delta(WSSR)/WSSR : -1.84933e-05
delta(WSSR) : -11190.3 limit for stopping : 1e-05
lambda : 0.00707107
resultant parameter values
a = -1036.65
b = 1518.17
/
Iteration 3
WSSR : 6.04072e+08 delta(WSSR)/WSSR : -0.00169898
delta(WSSR) : -1.02631e+06 limit for stopping : 1e-05
lambda : 0.000707107
resultant parameter values
a = -101864
b = 1526.56
/
Iteration 4
WSSR : 5.80578e+08 delta(WSSR)/WSSR : -0.040467
delta(WSSR) : -2.34943e+07 limit for stopping : 1e-05
lambda : 7.07107e-05
resultant parameter values
a = -3.56955e+06
b = 1815.15
/
Iteration 5
WSSR : 5.77427e+08 delta(WSSR)/WSSR : -0.00545821
delta(WSSR) : -3.15172e+06 limit for stopping : 1e-05
lambda : 7.07107e-06
resultant parameter values
a = -5.37788e+06
b = 1965.65
/
Iteration 6
WSSR : 5.77426e+08 delta(WSSR)/WSSR : -1.48436e-07
delta(WSSR) : -85.7109 limit for stopping : 1e-05
lambda : 7.07107e-07
resultant parameter values
a = -5.38736e+06
b = 1966.44
After 6 iterations the fit converged.
final sum of squares of residuals : 5.77426e+08
rel. change during last iteration : -1.48436e-07
degrees of freedom (FIT_NDF) : 908
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 797.454
variance of residuals (reduced chisquare) = WSSR/ndf : 635932
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = -5.38736e+06 +/- 8.165e+05 (15.16%)
b = 1966.44 +/- 72.92 (3.708%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.932 1.000
Iteration 0
WSSR : 2.6977e+09 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.857335
initial set of free parameter values
aa = 1
bb = 1
/
Iteration 1
WSSR : 3.537e+08 delta(WSSR)/WSSR : -6.62708
delta(WSSR) : -2.344e+09 limit for stopping : 1e-05
lambda : 0.0857335
resultant parameter values
aa = -6338.16
bb = 5839.13
/
Iteration 2
WSSR : 3.3878e+08 delta(WSSR)/WSSR : -0.0440412
delta(WSSR) : -1.49203e+07 limit for stopping : 1e-05
lambda : 0.00857335
resultant parameter values
aa = -8296.31
bb = 7180.26
/
Iteration 3
WSSR : 3.3878e+08 delta(WSSR)/WSSR : -3.41053e-07
delta(WSSR) : -115.542 limit for stopping : 1e-05
lambda : 0.000857335
resultant parameter values
aa = -8301.78
bb = 7184
After 3 iterations the fit converged.
final sum of squares of residuals : 3.3878e+08
rel. change during last iteration : -3.41053e-07
degrees of freedom (FIT_NDF) : 908
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 610.824
variance of residuals (reduced chisquare) = WSSR/ndf : 373106
Final set of parameters Asymptotic Standard Error
======================= ==========================
aa = -8301.78 +/- 310.7 (3.743%)
bb = 7184 +/- 213 (2.965%)
correlation matrix of the fit parameters:
aa bb
aa 1.000
bb -0.995 1.000
Iteration 0
WSSR : 8.64029e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.857335
initial set of free parameter values
aaa = 1
bbb = 1
/
Iteration 1
WSSR : 65352.7 delta(WSSR)/WSSR : -131.21
delta(WSSR) : -8.57494e+06 limit for stopping : 1e-05
lambda : 0.0857335
resultant parameter values
aaa = -219.119
bbb = 246.318
/
Iteration 2
WSSR : 44319.4 delta(WSSR)/WSSR : -0.474585
delta(WSSR) : -21033.3 limit for stopping : 1e-05
lambda : 0.00857335
resultant parameter values
aaa = -292.627
bbb = 296.685
/
Iteration 3
WSSR : 44319.2 delta(WSSR)/WSSR : -3.6749e-06
delta(WSSR) : -0.162868 limit for stopping : 1e-05
lambda : 0.000857335
resultant parameter values
aaa = -292.832
bbb = 296.825
After 3 iterations the fit converged.
final sum of squares of residuals : 44319.2
rel. change during last iteration : -3.6749e-06
degrees of freedom (FIT_NDF) : 908
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.98639
variance of residuals (reduced chisquare) = WSSR/ndf : 48.8097
Final set of parameters Asymptotic Standard Error
======================= ==========================
aaa = -292.832 +/- 3.554 (1.214%)
bbb = 296.825 +/- 2.437 (0.8209%)
correlation matrix of the fit parameters:
aaa bbb
aaa 1.000
bbb -0.995 1.000
Iteration 0
WSSR : 8.75529e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.707146
initial set of free parameter values
aaaa = 1
bbbb = 1
/
Iteration 1
WSSR : 356710 delta(WSSR)/WSSR : -23.5445
delta(WSSR) : -8.39858e+06 limit for stopping : 1e-05
lambda : 0.0707146
resultant parameter values
aaaa = -135.643
bbbb = 98.21
/
Iteration 2
WSSR : 98176.3 delta(WSSR)/WSSR : -2.63337
delta(WSSR) : -258534 limit for stopping : 1e-05
lambda : 0.00707146
resultant parameter values
aaaa = -3207.68
bbbb = 127.583
/
Iteration 3
WSSR : 84605.3 delta(WSSR)/WSSR : -0.160403
delta(WSSR) : -13570.9 limit for stopping : 1e-05
lambda : 0.000707146
resultant parameter values
aaaa = -4088.49
bbbb = 135.99
/
Iteration 4
WSSR : 84605.2 delta(WSSR)/WSSR : -1.31864e-06
delta(WSSR) : -0.111564 limit for stopping : 1e-05
lambda : 7.07146e-05
resultant parameter values
aaaa = -4091.03
bbbb = 136.014
After 4 iterations the fit converged.
final sum of squares of residuals : 84605.2
rel. change during last iteration : -1.31864e-06
degrees of freedom (FIT_NDF) : 908
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.65285
variance of residuals (reduced chisquare) = WSSR/ndf : 93.1775
Final set of parameters Asymptotic Standard Error
======================= ==========================
aaaa = -4091.03 +/- 73.19 (1.789%)
bbbb = 136.014 +/- 0.7684 (0.5649%)
correlation matrix of the fit parameters:
aaaa bbbb
aaaa 1.000
bbbb -0.909 1.000