masterarbeit/dokumentation/evolution1d/adv-lamb.gnuplot.log
2017-10-28 20:54:05 +02:00

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Iteration 0
WSSR : 0.227572 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.707341
initial set of free parameter values
a = 1
b = 1
/
Iteration 1
WSSR : 0.00021325 delta(WSSR)/WSSR : -1066.16
delta(WSSR) : -0.227359 limit for stopping : 1e-05
lambda : 0.0707341
resultant parameter values
a = 0.998581
b = 0.952591
/
Iteration 2
WSSR : 0.000203712 delta(WSSR)/WSSR : -0.0468247
delta(WSSR) : -9.53874e-06 limit for stopping : 1e-05
lambda : 0.00707341
resultant parameter values
a = 0.978909
b = 0.952859
/
Iteration 3
WSSR : 0.000117743 delta(WSSR)/WSSR : -0.730133
delta(WSSR) : -8.59683e-05 limit for stopping : 1e-05
lambda : 0.000707341
resultant parameter values
a = 0.323908
b = 0.969698
/
Iteration 4
WSSR : 0.000107016 delta(WSSR)/WSSR : -0.10024
delta(WSSR) : -1.07273e-05 limit for stopping : 1e-05
lambda : 7.07341e-05
resultant parameter values
a = -0.00159147
b = 0.978066
/
Iteration 5
WSSR : 0.000107016 delta(WSSR)/WSSR : -2.47553e-06
delta(WSSR) : -2.6492e-10 limit for stopping : 1e-05
lambda : 7.07341e-06
resultant parameter values
a = -0.00321702
b = 0.978108
After 5 iterations the fit converged.
final sum of squares of residuals : 0.000107016
rel. change during last iteration : -2.47553e-06
degrees of freedom (FIT_NDF) : 98
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00104499
variance of residuals (reduced chisquare) = WSSR/ndf : 1.092e-06
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = -0.00321702 +/- 0.1044 (3244%)
b = 0.978108 +/- 0.002685 (0.2745%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.999 1.000
Iteration 0
WSSR : 91.541 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.967948
initial set of free parameter values
aa = 1
bb = 1
/
Iteration 1
WSSR : 0.00229828 delta(WSSR)/WSSR : -39829.2
delta(WSSR) : -91.5387 limit for stopping : 1e-05
lambda : 0.0967948
resultant parameter values
aa = 0.524975
bb = 0.492041
/
Iteration 2
WSSR : 2.92366e-05 delta(WSSR)/WSSR : -77.6096
delta(WSSR) : -0.00226904 limit for stopping : 1e-05
lambda : 0.00967948
resultant parameter values
aa = 0.513146
bb = 0.498339
/
Iteration 3
WSSR : 7.21159e-07 delta(WSSR)/WSSR : -39.5412
delta(WSSR) : -2.85155e-05 limit for stopping : 1e-05
lambda : 0.000967948
resultant parameter values
aa = 0.364666
bb = 0.637138
/
Iteration 4
WSSR : 1.28467e-11 delta(WSSR)/WSSR : -56134.8
delta(WSSR) : -7.21146e-07 limit for stopping : 1e-05
lambda : 9.67948e-05
resultant parameter values
aa = 0.337053
bb = 0.66295
/
Iteration 5
WSSR : 1.03526e-11 delta(WSSR)/WSSR : -0.24091
delta(WSSR) : -2.49406e-12 limit for stopping : 1e-05
lambda : 9.67948e-06
resultant parameter values
aa = 0.337001
bb = 0.662998
/
Iteration 6
WSSR : 1.03526e-11 delta(WSSR)/WSSR : -9.82363e-11
delta(WSSR) : -1.017e-21 limit for stopping : 1e-05
lambda : 9.67948e-07
resultant parameter values
aa = 0.337001
bb = 0.662998
After 6 iterations the fit converged.
final sum of squares of residuals : 1.03526e-11
rel. change during last iteration : -9.82363e-11
degrees of freedom (FIT_NDF) : 98
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.25022e-07
variance of residuals (reduced chisquare) = WSSR/ndf : 1.05639e-13
Final set of parameters Asymptotic Standard Error
======================= ==========================
aa = 0.337001 +/- 1.059e-05 (0.003142%)
bb = 0.662998 +/- 9.898e-06 (0.001493%)
correlation matrix of the fit parameters:
aa bb
aa 1.000
bb -1.000 1.000
Iteration 0
WSSR : 96.0949 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.967948
initial set of free parameter values
aaa = 1
bbb = 1
/
Iteration 1
WSSR : 0.00241131 delta(WSSR)/WSSR : -39850.7
delta(WSSR) : -96.0925 limit for stopping : 1e-05
lambda : 0.0967948
resultant parameter values
aaa = 0.513505
bbb = 0.479371
/
Iteration 2
WSSR : 2.95208e-05 delta(WSSR)/WSSR : -80.6818
delta(WSSR) : -0.00238179 limit for stopping : 1e-05
lambda : 0.00967948
resultant parameter values
aaa = 0.520572
bbb = 0.467888
/
Iteration 3
WSSR : 7.2817e-07 delta(WSSR)/WSSR : -39.5411
delta(WSSR) : -2.87926e-05 limit for stopping : 1e-05
lambda : 0.000967948
resultant parameter values
aaa = 0.669772
bbb = 0.328416
/
Iteration 4
WSSR : 1.47452e-11 delta(WSSR)/WSSR : -49382.6
delta(WSSR) : -7.28156e-07 limit for stopping : 1e-05
lambda : 9.67948e-05
resultant parameter values
aaa = 0.697518
bbb = 0.302478
/
Iteration 5
WSSR : 1.22269e-11 delta(WSSR)/WSSR : -0.205964
delta(WSSR) : -2.5183e-12 limit for stopping : 1e-05
lambda : 9.67948e-06
resultant parameter values
aaa = 0.69757
bbb = 0.30243
/
Iteration 6
WSSR : 1.22269e-11 delta(WSSR)/WSSR : -1.20095e-10
delta(WSSR) : -1.46839e-21 limit for stopping : 1e-05
lambda : 9.67948e-07
resultant parameter values
aaa = 0.69757
bbb = 0.30243
After 6 iterations the fit converged.
final sum of squares of residuals : 1.22269e-11
rel. change during last iteration : -1.20095e-10
degrees of freedom (FIT_NDF) : 98
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.5322e-07
variance of residuals (reduced chisquare) = WSSR/ndf : 1.24764e-13
Final set of parameters Asymptotic Standard Error
======================= ==========================
aaa = 0.69757 +/- 1.151e-05 (0.00165%)
bbb = 0.30243 +/- 1.076e-05 (0.003557%)
correlation matrix of the fit parameters:
aaa bbb
aaa 1.000
bbb -1.000 1.000
Iteration 0
WSSR : 0.21759 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.707107
initial set of free parameter values
aaaa = 1
bbbb = 1
/
Iteration 1
WSSR : 0.0004639 delta(WSSR)/WSSR : -468.045
delta(WSSR) : -0.217126 limit for stopping : 1e-05
lambda : 0.0707107
resultant parameter values
aaaa = 0.999948
bbbb = 0.953634
/
Iteration 2
WSSR : 0.000458526 delta(WSSR)/WSSR : -0.0117211
delta(WSSR) : -5.37441e-06 limit for stopping : 1e-05
lambda : 0.00707107
resultant parameter values
aaaa = 0.999948
bbbb = 0.953403
/
Iteration 3
WSSR : 0.000458526 delta(WSSR)/WSSR : -2.92992e-11
delta(WSSR) : -1.34345e-14 limit for stopping : 1e-05
lambda : 0.000707107
resultant parameter values
aaaa = 0.999948
bbbb = 0.953403
After 3 iterations the fit converged.
final sum of squares of residuals : 0.000458526
rel. change during last iteration : -2.92992e-11
degrees of freedom (FIT_NDF) : 98
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00216306
variance of residuals (reduced chisquare) = WSSR/ndf : 4.67884e-06
Final set of parameters Asymptotic Standard Error
======================= ==========================
aaaa = 0.999948 +/- 1.728e+14 (1.728e+16%)
bbbb = 0.953403 +/- 1.92e+11 (2.014e+13%)
correlation matrix of the fit parameters:
aaaa bbbb
aaaa 1.000
bbbb -1.000 1.000
Warning: empty x range [0.00111111:0.00111111], adjusting to [0.0011:0.00112222]