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This commit is contained in:
Nicole Dresselhaus 2017-10-07 12:16:38 +02:00
parent b898fad7ad
commit 8b87f599ec
Signed by: Drezil
GPG Key ID: 057D94F356F41E25
31 changed files with 5352 additions and 322 deletions
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261
dokumentation/evolution3d/20170926_3dFit_both.gnuplot.log
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@ -1,261 +0,0 @@
Iteration 0
WSSR : 6.57855e+08 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 : 1.19742e+08 delta(WSSR)/WSSR : -4.49394
delta(WSSR) : -5.38113e+08 limit for stopping : 1e-05
lambda : 0.0707107
resultant parameter values
a = -4.3512
b = 1637.21
/
Iteration 2
WSSR : 1.19736e+08 delta(WSSR)/WSSR : -5.30831e-05
delta(WSSR) : -6355.94 limit for stopping : 1e-05
lambda : 0.00707107
resultant parameter values
a = -552.932
b = 1641.35
/
Iteration 3
WSSR : 1.19436e+08 delta(WSSR)/WSSR : -0.00250746
delta(WSSR) : -299482 limit for stopping : 1e-05
lambda : 0.000707107
resultant parameter values
a = -55233.5
b = 1645.85
/
Iteration 4
WSSR : 9.96328e+07 delta(WSSR)/WSSR : -0.198762
delta(WSSR) : -1.98032e+07 limit for stopping : 1e-05
lambda : 7.07107e-05
resultant parameter values
a = -4.18279e+06
b = 1985.88
/
Iteration 5
WSSR : 7.3427e+07 delta(WSSR)/WSSR : -0.356896
delta(WSSR) : -2.62058e+07 limit for stopping : 1e-05
lambda : 7.07107e-06
resultant parameter values
a = -1.65125e+07
b = 3001.59
/
Iteration 6
WSSR : 7.34036e+07 delta(WSSR)/WSSR : -0.000318847
delta(WSSR) : -23404.6 limit for stopping : 1e-05
lambda : 7.07107e-07
resultant parameter values
a = -1.6892e+07
b = 3032.86
/
Iteration 7
WSSR : 7.34036e+07 delta(WSSR)/WSSR : -3.02117e-11
delta(WSSR) : -0.00221765 limit for stopping : 1e-05
lambda : 7.07107e-08
resultant parameter values
a = -1.68921e+07
b = 3032.87
After 7 iterations the fit converged.
final sum of squares of residuals : 7.34036e+07
rel. change during last iteration : -3.02117e-11
degrees of freedom (FIT_NDF) : 198
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 608.872
variance of residuals (reduced chisquare) = WSSR/ndf : 370725
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = -1.68921e+07 +/- 1.511e+06 (8.945%)
b = 3032.87 +/- 131.7 (4.343%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.945 1.000
Iteration 0
WSSR : 6.57424e+08 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.856516
initial set of free parameter values
aa = 1
bb = 1
/
Iteration 1
WSSR : 7.68973e+07 delta(WSSR)/WSSR : -7.54938
delta(WSSR) : -5.80527e+08 limit for stopping : 1e-05
lambda : 0.0856516
resultant parameter values
aa = -3543.05
bb = 4037.81
/
Iteration 2
WSSR : 5.05872e+07 delta(WSSR)/WSSR : -0.520094
delta(WSSR) : -2.63101e+07 limit for stopping : 1e-05
lambda : 0.00856516
resultant parameter values
aa = -9160.46
bb = 7875.55
/
Iteration 3
WSSR : 5.05827e+07 delta(WSSR)/WSSR : -8.8937e-05
delta(WSSR) : -4498.67 limit for stopping : 1e-05
lambda : 0.000856516
resultant parameter values
aa = -9234.9
bb = 7926.35
/
Iteration 4
WSSR : 5.05827e+07 delta(WSSR)/WSSR : -1.56089e-12
delta(WSSR) : -7.89538e-05 limit for stopping : 1e-05
lambda : 8.56516e-05
resultant parameter values
aa = -9234.91
bb = 7926.36
After 4 iterations the fit converged.
final sum of squares of residuals : 5.05827e+07
rel. change during last iteration : -1.56089e-12
degrees of freedom (FIT_NDF) : 198
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 505.439
variance of residuals (reduced chisquare) = WSSR/ndf : 255468
Final set of parameters Asymptotic Standard Error
======================= ==========================
aa = -9234.91 +/- 561.3 (6.078%)
bb = 7926.36 +/- 383.7 (4.84%)
correlation matrix of the fit parameters:
aa bb
aa 1.000
bb -0.996 1.000
Iteration 0
WSSR : 1.95631e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.856516
initial set of free parameter values
aaa = 1
bbb = 1
/
Iteration 1
WSSR : 43713 delta(WSSR)/WSSR : -43.7534
delta(WSSR) : -1.91259e+06 limit for stopping : 1e-05
lambda : 0.0856516
resultant parameter values
aaa = -117.722
bbb = 177.579
/
Iteration 2
WSSR : 5756.45 delta(WSSR)/WSSR : -6.59375
delta(WSSR) : -37956.6 limit for stopping : 1e-05
lambda : 0.00856516
resultant parameter values
aaa = -331.026
bbb = 323.391
/
Iteration 3
WSSR : 5749.96 delta(WSSR)/WSSR : -0.00112851
delta(WSSR) : -6.48891 limit for stopping : 1e-05
lambda : 0.000856516
resultant parameter values
aaa = -333.853
bbb = 325.32
/
Iteration 4
WSSR : 5749.96 delta(WSSR)/WSSR : -1.9804e-11
delta(WSSR) : -1.13872e-07 limit for stopping : 1e-05
lambda : 8.56516e-05
resultant parameter values
aaa = -333.854
bbb = 325.32
After 4 iterations the fit converged.
final sum of squares of residuals : 5749.96
rel. change during last iteration : -1.9804e-11
degrees of freedom (FIT_NDF) : 198
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.3889
variance of residuals (reduced chisquare) = WSSR/ndf : 29.0402
Final set of parameters Asymptotic Standard Error
======================= ==========================
aaa = -333.854 +/- 5.984 (1.793%)
bbb = 325.32 +/- 4.091 (1.257%)
correlation matrix of the fit parameters:
aaa bbb
aaa 1.000
bbb -0.996 1.000

20
dokumentation/evolution3d/20170926_3dFit_both.gnuplot.script
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@ -1,20 +0,0 @@
set datafile separator ","
f(x)=a*x+b
fit f(x) "20170926_3dFit_both.csv" every ::1 using 1:5 via a,b
set terminal png
set xlabel 'regularity'
set ylabel 'steps'
set output "20170926_3dFit_both_regularity-vs-steps.png"
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 1:5 title "20170926_3dFit_4x4x4_100times.csv", "20170926_3dFit_5x5x5_100times.csv" every ::1 using 1:5 title "20170926_3dFit_5x5x5_100times.csv", f(x) title "lin. fit" lc rgb "black"
g(x)=aa*x+bb
fit g(x) "20170926_3dFit_both.csv" every ::1 using 3:5 via aa,bb
set xlabel 'improvement potential'
set ylabel 'steps'
set output "20170926_3dFit_both_improvement-vs-steps.png"
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:5 title "20170926_3dFit_4x4x4_100times.csv", "20170926_3dFit_5x5x5_100times.csv" every ::1 using 3:5 title "20170926_3dFit_5x5x5_100times.csv", g(x) title "lin. fit" lc rgb "black"
h(x)=aaa*x+bbb
fit h(x) "20170926_3dFit_both.csv" every ::1 using 3:4 via aaa,bbb
set xlabel 'improvement potential'
set ylabel 'evolution error'
set output "20170926_3dFit_both_improvement-vs-evo-error.png"
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:4 title "20170926_3dFit_4x4x4_100times.csv", "20170926_3dFit_5x5x5_100times.csv" every ::1 using 3:4 title "20170926_3dFit_5x5x5_100times.csv", h(x) title "lin. fit" lc rgb "black"

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dokumentation/evolution3d/20170926_3dFit_both_improvement-vs-evo-error.png
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101
dokumentation/evolution3d/20171005_3dFit_4x4x5_100times.csv Normal file
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regularity,variability,improvement,"Evolution error",steps
0.000136559,0.00740261,0.64595,104.911.,1607
0.000119061,0.00740261,0.648063,102.122.,2160
0.00014586,0.00740261,0.662359,100.463.,1781
0.000143911,0.00740261,0.647409,111.329.,1435
0.000100089,0.00740261,0.660347,104.712.,1394
0.00019449,0.00740261,0.643112,100.048.,1764
0.000139001,0.00740261,0.636985,102.05.,1923
9.23895e-05,0.00740261,0.651932,98.3549.,2200
0.000151896,0.00740261,0.654589,93.4038.,2609
9.96526e-05,0.00740261,0.663458,104.028.,1515
0.000140183,0.00740261,0.655494,102.965.,1602
0.000146938,0.00740261,0.656983,102.822.,1591
0.000127648,0.00740261,0.644146,97.9662.,2250
0.000133108,0.00740261,0.653198,100.341.,2206
0.000136798,0.00740261,0.639845,109.73.,1540
0.000101394,0.00740261,0.6633,99.6362.,2820
0.000125845,0.00740261,0.647015,113.29.,1861
0.000104427,0.00740261,0.647875,112.572.,1198
0.000140362,0.00740261,0.669356,86.3175.,2124
0.000114307,0.00740261,0.669332,91.637.,2806
9.09613e-05,0.00740261,0.653191,107.27.,1502
0.000130204,0.00740261,0.651758,110.797.,1133
0.00014725,0.00740261,0.649409,99.0484.,1656
0.000110507,0.00740261,0.651763,94.2222.,2395
0.000153747,0.00740261,0.653734,104.417.,2041
0.000108131,0.00740261,0.648279,96.4144.,2267
0.000126425,0.00740261,0.658424,108.23.,1793
0.00011876,0.00740261,0.658874,98.5045.,1906
7.79227e-05,0.00740261,0.664063,93.4554.,2181
0.000124995,0.00740261,0.649892,110.564.,1778
0.000135721,0.00740261,0.665436,104.082.,1365
0.000108043,0.00740261,0.665742,95.1024.,2120
0.00013341,0.00740261,0.654181,100.132.,2496
0.000107614,0.00740261,0.659173,102.451.,2798
0.000126198,0.00740261,0.643969,116.302.,1655
0.000110899,0.00740261,0.660032,98.5173.,2555
0.000158971,0.00740261,0.641391,104.428.,1847
0.000156538,0.00740261,0.647057,104.909.,2023
0.000124514,0.00740261,0.649594,106.289.,1776
0.000141513,0.00740261,0.650988,106.708.,1510
0.000138867,0.00740261,0.653552,108.022.,1558
9.31002e-05,0.00740261,0.648143,97.8253.,2547
0.00011634,0.00740261,0.659954,114.829.,1103
0.000104627,0.00740261,0.658879,115.054.,1440
0.000136417,0.00740261,0.6429,106.6.,1345
0.00012931,0.00740261,0.63474,105.157.,1201
0.000107738,0.00740261,0.671551,93.2856.,2956
0.000114915,0.00740261,0.654224,98.8994.,1428
0.000104432,0.00740261,0.642969,117.524.,1103
0.00013635,0.00740261,0.671219,97.0705.,2329
0.00014468,0.00740261,0.64633,95.9897.,1552
0.000131339,0.00740261,0.65456,104.384.,2112
0.000137424,0.00740261,0.641967,104.01.,1864
0.000119603,0.00740261,0.643056,104.585.,1573
0.000152567,0.00740261,0.66439,98.8101.,1297
9.48346e-05,0.00740261,0.657038,104.262.,2105
0.000134127,0.00740261,0.65476,95.1758.,2638
0.000115945,0.00740261,0.655308,109.61.,1354
8.95548e-05,0.00740261,0.642705,96.3427.,2743
0.000177255,0.00740261,0.658675,106.331.,1506
9.39073e-05,0.00740261,0.655253,103.753.,1723
0.000118136,0.00740261,0.646319,106.698.,1690
0.000143213,0.00740261,0.662647,97.9397.,1209
0.000124885,0.00740261,0.65789,106.656.,1534
0.000122815,0.00740261,0.673803,102.299.,1433
0.00011158,0.00740261,0.652635,104.71.,1827
0.000143072,0.00740261,0.651031,99.6516.,1526
0.000121757,0.00740261,0.681384,85.3402.,4935
9.94695e-05,0.00740261,0.651079,103.875.,2087
0.000161101,0.00740261,0.654378,99.7871.,1947
0.000122246,0.00740261,0.65679,99.823.,2190
0.000147347,0.00740261,0.6422,110.554.,1301
0.000112197,0.00740261,0.654611,114.952.,998
0.00011529,0.00740261,0.643761,99.7046.,1245
0.000161519,0.00740261,0.653702,96.1227.,2219
0.000137877,0.00740261,0.646996,94.9822.,3061
0.000113204,0.00740261,0.629358,109.207.,1124
0.000160504,0.00740261,0.643509,106.855.,1157
0.000115618,0.00740261,0.667462,110.589.,1601
0.000155458,0.00740261,0.663885,96.4926.,1549
0.00012474,0.00740261,0.64672,104.201.,1704
0.000147478,0.00740261,0.656898,95.364.,2012
0.000134001,0.00740261,0.648474,95.9782.,1790
0.00013438,0.00740261,0.648077,109.152.,1449
0.000140607,0.00740261,0.640552,99.7984.,1505
0.000107889,0.00740261,0.663999,106.249.,1998
0.000149274,0.00740261,0.662709,91.3925.,1790
0.000121329,0.00740261,0.647837,102.095.,2291
0.000104416,0.00740261,0.663697,108.615.,1725
0.000103746,0.00740261,0.656774,100.235.,2358
9.74274e-05,0.00740261,0.655777,102.616.,2110
9.50543e-05,0.00740261,0.639904,114.163.,1233
0.000151294,0.00740261,0.645149,107.106.,1845
0.000134623,0.00740261,0.657907,94.8621.,1577
8.51088e-05,0.00740261,0.66594,91.0518.,2146
0.000131458,0.00740261,0.642009,112.361.,1165
0.000162778,0.00740261,0.642773,119.675.,1364
0.000113733,0.00740261,0.652888,102.147.,2012
0.000119502,0.00740261,0.65036,103.006.,1817
0.000123499,0.00740261,0.642794,104.759.,1498
1 regularity variability improvement Evolution error steps
2 0.000136559 0.00740261 0.64595 104.911. 1607
3 0.000119061 0.00740261 0.648063 102.122. 2160
4 0.00014586 0.00740261 0.662359 100.463. 1781
5 0.000143911 0.00740261 0.647409 111.329. 1435
6 0.000100089 0.00740261 0.660347 104.712. 1394
7 0.00019449 0.00740261 0.643112 100.048. 1764
8 0.000139001 0.00740261 0.636985 102.05. 1923
9 9.23895e-05 0.00740261 0.651932 98.3549. 2200
10 0.000151896 0.00740261 0.654589 93.4038. 2609
11 9.96526e-05 0.00740261 0.663458 104.028. 1515
12 0.000140183 0.00740261 0.655494 102.965. 1602
13 0.000146938 0.00740261 0.656983 102.822. 1591
14 0.000127648 0.00740261 0.644146 97.9662. 2250
15 0.000133108 0.00740261 0.653198 100.341. 2206
16 0.000136798 0.00740261 0.639845 109.73. 1540
17 0.000101394 0.00740261 0.6633 99.6362. 2820
18 0.000125845 0.00740261 0.647015 113.29. 1861
19 0.000104427 0.00740261 0.647875 112.572. 1198
20 0.000140362 0.00740261 0.669356 86.3175. 2124
21 0.000114307 0.00740261 0.669332 91.637. 2806
22 9.09613e-05 0.00740261 0.653191 107.27. 1502
23 0.000130204 0.00740261 0.651758 110.797. 1133
24 0.00014725 0.00740261 0.649409 99.0484. 1656
25 0.000110507 0.00740261 0.651763 94.2222. 2395
26 0.000153747 0.00740261 0.653734 104.417. 2041
27 0.000108131 0.00740261 0.648279 96.4144. 2267
28 0.000126425 0.00740261 0.658424 108.23. 1793
29 0.00011876 0.00740261 0.658874 98.5045. 1906
30 7.79227e-05 0.00740261 0.664063 93.4554. 2181
31 0.000124995 0.00740261 0.649892 110.564. 1778
32 0.000135721 0.00740261 0.665436 104.082. 1365
33 0.000108043 0.00740261 0.665742 95.1024. 2120
34 0.00013341 0.00740261 0.654181 100.132. 2496
35 0.000107614 0.00740261 0.659173 102.451. 2798
36 0.000126198 0.00740261 0.643969 116.302. 1655
37 0.000110899 0.00740261 0.660032 98.5173. 2555
38 0.000158971 0.00740261 0.641391 104.428. 1847
39 0.000156538 0.00740261 0.647057 104.909. 2023
40 0.000124514 0.00740261 0.649594 106.289. 1776
41 0.000141513 0.00740261 0.650988 106.708. 1510
42 0.000138867 0.00740261 0.653552 108.022. 1558
43 9.31002e-05 0.00740261 0.648143 97.8253. 2547
44 0.00011634 0.00740261 0.659954 114.829. 1103
45 0.000104627 0.00740261 0.658879 115.054. 1440
46 0.000136417 0.00740261 0.6429 106.6. 1345
47 0.00012931 0.00740261 0.63474 105.157. 1201
48 0.000107738 0.00740261 0.671551 93.2856. 2956
49 0.000114915 0.00740261 0.654224 98.8994. 1428
50 0.000104432 0.00740261 0.642969 117.524. 1103
51 0.00013635 0.00740261 0.671219 97.0705. 2329
52 0.00014468 0.00740261 0.64633 95.9897. 1552
53 0.000131339 0.00740261 0.65456 104.384. 2112
54 0.000137424 0.00740261 0.641967 104.01. 1864
55 0.000119603 0.00740261 0.643056 104.585. 1573
56 0.000152567 0.00740261 0.66439 98.8101. 1297
57 9.48346e-05 0.00740261 0.657038 104.262. 2105
58 0.000134127 0.00740261 0.65476 95.1758. 2638
59 0.000115945 0.00740261 0.655308 109.61. 1354
60 8.95548e-05 0.00740261 0.642705 96.3427. 2743
61 0.000177255 0.00740261 0.658675 106.331. 1506
62 9.39073e-05 0.00740261 0.655253 103.753. 1723
63 0.000118136 0.00740261 0.646319 106.698. 1690
64 0.000143213 0.00740261 0.662647 97.9397. 1209
65 0.000124885 0.00740261 0.65789 106.656. 1534
66 0.000122815 0.00740261 0.673803 102.299. 1433
67 0.00011158 0.00740261 0.652635 104.71. 1827
68 0.000143072 0.00740261 0.651031 99.6516. 1526
69 0.000121757 0.00740261 0.681384 85.3402. 4935
70 9.94695e-05 0.00740261 0.651079 103.875. 2087
71 0.000161101 0.00740261 0.654378 99.7871. 1947
72 0.000122246 0.00740261 0.65679 99.823. 2190
73 0.000147347 0.00740261 0.6422 110.554. 1301
74 0.000112197 0.00740261 0.654611 114.952. 998
75 0.00011529 0.00740261 0.643761 99.7046. 1245
76 0.000161519 0.00740261 0.653702 96.1227. 2219
77 0.000137877 0.00740261 0.646996 94.9822. 3061
78 0.000113204 0.00740261 0.629358 109.207. 1124
79 0.000160504 0.00740261 0.643509 106.855. 1157
80 0.000115618 0.00740261 0.667462 110.589. 1601
81 0.000155458 0.00740261 0.663885 96.4926. 1549
82 0.00012474 0.00740261 0.64672 104.201. 1704
83 0.000147478 0.00740261 0.656898 95.364. 2012
84 0.000134001 0.00740261 0.648474 95.9782. 1790
85 0.00013438 0.00740261 0.648077 109.152. 1449
86 0.000140607 0.00740261 0.640552 99.7984. 1505
87 0.000107889 0.00740261 0.663999 106.249. 1998
88 0.000149274 0.00740261 0.662709 91.3925. 1790
89 0.000121329 0.00740261 0.647837 102.095. 2291
90 0.000104416 0.00740261 0.663697 108.615. 1725
91 0.000103746 0.00740261 0.656774 100.235. 2358
92 9.74274e-05 0.00740261 0.655777 102.616. 2110
93 9.50543e-05 0.00740261 0.639904 114.163. 1233
94 0.000151294 0.00740261 0.645149 107.106. 1845
95 0.000134623 0.00740261 0.657907 94.8621. 1577
96 8.51088e-05 0.00740261 0.66594 91.0518. 2146
97 0.000131458 0.00740261 0.642009 112.361. 1165
98 0.000162778 0.00740261 0.642773 119.675. 1364
99 0.000113733 0.00740261 0.652888 102.147. 2012
100 0.000119502 0.00740261 0.65036 103.006. 1817
101 0.000123499 0.00740261 0.642794 104.759. 1498

138
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*******************************************************************************
Sat Oct 7 11:48:52 2017
FIT: data read from "20171005_3dFit_4x4x5_100times.csv" every ::1 using 1:5
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 : 3.72074e+08 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
After 7 iterations the fit converged.
final sum of squares of residuals : 3.04469e+07
rel. change during last iteration : -2.90533e-10
degrees of freedom (FIT_NDF) : 98
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 557.389
variance of residuals (reduced chisquare) = WSSR/ndf : 310682
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = -4.48337e+06 +/- 2.603e+06 (58.05%)
b = 2413.03 +/- 333.4 (13.82%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.986 1.000
*******************************************************************************
Sat Oct 7 11:48:52 2017
FIT: data read from "20171005_3dFit_4x4x5_100times.csv" every ::1 using 3:5
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 : 3.71832e+08 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.844596
initial set of free parameter values
aa = 1
bb = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 2.6634e+07
rel. change during last iteration : -6.71396e-06
degrees of freedom (FIT_NDF) : 98
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 521.321
variance of residuals (reduced chisquare) = WSSR/ndf : 271775
Final set of parameters Asymptotic Standard Error
======================= ==========================
aa = 23577.6 +/- 5649 (23.96%)
bb = -13552.8 +/- 3690 (27.23%)
correlation matrix of the fit parameters:
aa bb
aa 1.000
bb -1.000 1.000
*******************************************************************************
Sat Oct 7 11:48:52 2017
FIT: data read from "20171005_3dFit_4x4x5_100times.csv" every ::1 using 3:4
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 : 1.02942e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.844596
initial set of free parameter values
aaa = 1
bbb = 1
After 5 iterations the fit converged.
final sum of squares of residuals : 3639.03
rel. change during last iteration : -1.81573e-13
degrees of freedom (FIT_NDF) : 98
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.09368
variance of residuals (reduced chisquare) = WSSR/ndf : 37.1329
Final set of parameters Asymptotic Standard Error
======================= ==========================
aaa = -317.551 +/- 66.03 (20.79%)
bbb = 310.298 +/- 43.13 (13.9%)
correlation matrix of the fit parameters:
aaa bbb
aaa 1.000
bbb -1.000 1.000

272
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Iteration 0
WSSR : 3.72074e+08 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 : 3.13773e+07 delta(WSSR)/WSSR : -10.8581
delta(WSSR) : -3.40697e+08 limit for stopping : 1e-05
lambda : 0.0707107
resultant parameter values
a = 0.820678
b = 1837.64
/
Iteration 2
WSSR : 3.13688e+07 delta(WSSR)/WSSR : -0.000269376
delta(WSSR) : -8450 limit for stopping : 1e-05
lambda : 0.00707107
resultant parameter values
a = -40.3053
b = 1846.82
/
Iteration 3
WSSR : 3.13671e+07 delta(WSSR)/WSSR : -5.38499e-05
delta(WSSR) : -1689.12 limit for stopping : 1e-05
lambda : 0.000707107
resultant parameter values
a = -4149.25
b = 1847.34
/
Iteration 4
WSSR : 3.1219e+07 delta(WSSR)/WSSR : -0.00474553
delta(WSSR) : -148151 limit for stopping : 1e-05
lambda : 7.07107e-05
resultant parameter values
a = -380518
b = 1894.88
/
Iteration 5
WSSR : 3.04543e+07 delta(WSSR)/WSSR : -0.0251075
delta(WSSR) : -764632 limit for stopping : 1e-05
lambda : 7.07107e-06
resultant parameter values
a = -4.08007e+06
b = 2362.1
/
Iteration 6
WSSR : 3.04469e+07 delta(WSSR)/WSSR : -0.000245018
delta(WSSR) : -7460.02 limit for stopping : 1e-05
lambda : 7.07107e-07
resultant parameter values
a = -4.48293e+06
b = 2412.98
/
Iteration 7
WSSR : 3.04469e+07 delta(WSSR)/WSSR : -2.90533e-10
delta(WSSR) : -0.00884582 limit for stopping : 1e-05
lambda : 7.07107e-08
resultant parameter values
a = -4.48337e+06
b = 2413.03
After 7 iterations the fit converged.
final sum of squares of residuals : 3.04469e+07
rel. change during last iteration : -2.90533e-10
degrees of freedom (FIT_NDF) : 98
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 557.389
variance of residuals (reduced chisquare) = WSSR/ndf : 310682
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = -4.48337e+06 +/- 2.603e+06 (58.05%)
b = 2413.03 +/- 333.4 (13.82%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.986 1.000
Iteration 0
WSSR : 3.71832e+08 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.844596
initial set of free parameter values
aa = 1
bb = 1
/
Iteration 1
WSSR : 3.09708e+07 delta(WSSR)/WSSR : -11.0059
delta(WSSR) : -3.40862e+08 limit for stopping : 1e-05
lambda : 0.0844596
resultant parameter values
aa = 1030.69
bb = 1165.33
/
Iteration 2
WSSR : 2.79167e+07 delta(WSSR)/WSSR : -0.109401
delta(WSSR) : -3.05412e+06 limit for stopping : 1e-05
lambda : 0.00844596
resultant parameter values
aa = 11305.8
bb = -5537.03
/
Iteration 3
WSSR : 2.66341e+07 delta(WSSR)/WSSR : -0.048154
delta(WSSR) : -1.28254e+06 limit for stopping : 1e-05
lambda : 0.000844596
resultant parameter values
aa = 23432.7
bb = -13458.1
/
Iteration 4
WSSR : 2.6634e+07 delta(WSSR)/WSSR : -6.71396e-06
delta(WSSR) : -178.819 limit for stopping : 1e-05
lambda : 8.44596e-05
resultant parameter values
aa = 23577.6
bb = -13552.8
After 4 iterations the fit converged.
final sum of squares of residuals : 2.6634e+07
rel. change during last iteration : -6.71396e-06
degrees of freedom (FIT_NDF) : 98
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 521.321
variance of residuals (reduced chisquare) = WSSR/ndf : 271775
Final set of parameters Asymptotic Standard Error
======================= ==========================
aa = 23577.6 +/- 5649 (23.96%)
bb = -13552.8 +/- 3690 (27.23%)
correlation matrix of the fit parameters:
aa bb
aa 1.000
bb -1.000 1.000
Iteration 0
WSSR : 1.02942e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.844596
initial set of free parameter values
aaa = 1
bbb = 1
/
Iteration 1
WSSR : 4779.76 delta(WSSR)/WSSR : -214.371
delta(WSSR) : -1.02464e+06 limit for stopping : 1e-05
lambda : 0.0844596
resultant parameter values
aaa = 44.0864
bbb = 73.5787
/
Iteration 2
WSSR : 3969.57 delta(WSSR)/WSSR : -0.2041
delta(WSSR) : -810.19 limit for stopping : 1e-05
lambda : 0.00844596
resultant parameter values
aaa = -120.557
bbb = 181.625
/
Iteration 3
WSSR : 3639.07 delta(WSSR)/WSSR : -0.0908175
delta(WSSR) : -330.492 limit for stopping : 1e-05
lambda : 0.000844596
resultant parameter values
aaa = -315.225
bbb = 308.779
/
Iteration 4
WSSR : 3639.03 delta(WSSR)/WSSR : -1.26625e-05
delta(WSSR) : -0.046079 limit for stopping : 1e-05
lambda : 8.44596e-05
resultant parameter values
aaa = -317.551
bbb = 310.298
/
Iteration 5
WSSR : 3639.03 delta(WSSR)/WSSR : -1.81573e-13
delta(WSSR) : -6.60748e-10 limit for stopping : 1e-05
lambda : 8.44596e-06
resultant parameter values
aaa = -317.551
bbb = 310.298
After 5 iterations the fit converged.
final sum of squares of residuals : 3639.03
rel. change during last iteration : -1.81573e-13
degrees of freedom (FIT_NDF) : 98
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.09368
variance of residuals (reduced chisquare) = WSSR/ndf : 37.1329
Final set of parameters Asymptotic Standard Error
======================= ==========================
aaa = -317.551 +/- 66.03 (20.79%)
bbb = 310.298 +/- 43.13 (13.9%)
correlation matrix of the fit parameters:
aaa bbb
aaa 1.000
bbb -1.000 1.000

20
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set datafile separator ","
f(x)=a*x+b
fit f(x) "20171005_3dFit_4x4x5_100times.csv" every ::1 using 1:5 via a,b
set terminal png
set xlabel 'regularity'
set ylabel 'steps'
set output "20171005_3dFit_4x4x5_100times_regularity-vs-steps.png"
plot "20171005_3dFit_4x4x5_100times.csv" every ::1 using 1:5 title "data", f(x) title "lin. fit" lc rgb "black"
g(x)=aa*x+bb
fit g(x) "20171005_3dFit_4x4x5_100times.csv" every ::1 using 3:5 via aa,bb
set xlabel 'improvement potential'
set ylabel 'steps'
set output "20171005_3dFit_4x4x5_100times_improvement-vs-steps.png"
plot "20171005_3dFit_4x4x5_100times.csv" every ::1 using 3:5 title "data", g(x) title "lin. fit" lc rgb "black"
h(x)=aaa*x+bbb
fit h(x) "20171005_3dFit_4x4x5_100times.csv" every ::1 using 3:4 via aaa,bbb
set xlabel 'improvement potential'
set ylabel 'evolution error'
set output "20171005_3dFit_4x4x5_100times_improvement-vs-evo-error.png"
plot "20171005_3dFit_4x4x5_100times.csv" every ::1 using 3:4 title "data", h(x) title "lin. fit" lc rgb "black"

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regularity,variability,improvement,"Evolution error",steps
6.90773e-05,0.0103637,0.696191,105.032.,341
7.57369e-05,0.0103637,0.693269,91.0336.,459
5.95909e-05,0.0103637,0.712521,74.0894.,1033
4.89834e-05,0.0103637,0.705441,77.0829.,794
8.55427e-05,0.0103637,0.706556,84.9413.,770
6.69145e-05,0.0103637,0.694754,103.909.,501
8.78648e-05,0.0103637,0.697778,88.0771.,1023
4.89849e-05,0.0103637,0.693094,93.4708.,847
7.05473e-05,0.0103637,0.698525,83.1573.,1650
6.45204e-05,0.0103637,0.703132,80.9548.,760
8.39504e-05,0.0103637,0.693773,78.1902.,1161
8.95153e-05,0.0103637,0.703214,84.7296.,755
8.94125e-05,0.0103637,0.683541,94.4156.,468
7.65955e-05,0.0103637,0.699209,84.0696.,618
8.48235e-05,0.0103637,0.694151,83.4435.,893
9.25653e-05,0.0103637,0.696425,88.5741.,486
8.37081e-05,0.0103637,0.705391,77.5017.,773
9.46274e-05,0.0103637,0.701869,82.8934.,558
5.84861e-05,0.0103637,0.696648,89.5173.,466
9.22039e-05,0.0103637,0.712275,92.6297.,329
0.00012461,0.0103637,0.683813,88.5844.,399
7.19627e-05,0.0103637,0.700576,82.1173.,915
7.32875e-05,0.0103637,0.710566,73.2.,1200
5.93684e-05,0.0103637,0.688111,84.76.,694
5.17231e-05,0.0103637,0.692695,73.4001.,1904
4.92345e-05,0.0103637,0.697164,92.3227.,651
5.09248e-05,0.0103637,0.705689,84.2123.,838
5.77824e-05,0.0103637,0.695727,84.2583.,934
6.0101e-05,0.0103637,0.708621,78.5571.,890
7.71719e-05,0.0103637,0.691677,89.2675.,413
6.55075e-05,0.0103637,0.713333,81.8836.,698
0.000101797,0.0103637,0.703862,83.885.,976
7.79595e-05,0.0103637,0.698338,91.469.,560
0.000105659,0.0103637,0.696847,81.0534.,567
8.72629e-05,0.0103637,0.704344,90.3739.,964
8.31702e-05,0.0103637,0.697422,85.6114.,1014
8.6789e-05,0.0103637,0.698602,91.687.,521
7.10164e-05,0.0103637,0.7117,90.1008.,429
0.000101594,0.0103637,0.702448,89.7677.,515
0.000103224,0.0103637,0.692531,79.4512.,1146
8.97257e-05,0.0103637,0.700891,86.5543.,643
8.25712e-05,0.0103637,0.703818,88.7329.,628
7.03787e-05,0.0103637,0.702183,91.8764.,620
5.56783e-05,0.0103637,0.695291,85.9747.,514
9.51288e-05,0.0103637,0.705779,82.843.,486
7.92477e-05,0.0103637,0.699163,83.5281.,450
7.05724e-05,0.0103637,0.698192,78.0961.,1108
3.93866e-05,0.0103637,0.690332,104.49.,396
8.71878e-05,0.0103637,0.69152,88.2734.,576
8.24219e-05,0.0103637,0.69624,102.032.,365
0.000124221,0.0103637,0.691391,85.7869.,626
5.84913e-05,0.0103637,0.68327,90.7034.,538
8.13743e-05,0.0103637,0.708162,89.582.,517
8.26589e-05,0.0103637,0.697338,83.1789.,776
7.39471e-05,0.0103637,0.723246,75.4405.,980
5.31401e-05,0.0103637,0.700546,79.2881.,688
7.2695e-05,0.0103637,0.701524,86.13.,655
5.20609e-05,0.0103637,0.708881,85.3256.,544
8.70549e-05,0.0103637,0.694314,83.3977.,1043
8.10432e-05,0.0103637,0.698992,84.789.,346
7.37989e-05,0.0103637,0.701496,88.6137.,628
8.71038e-05,0.0103637,0.699252,82.1479.,722
5.45338e-05,0.0103637,0.698811,75.152.,1091
8.03217e-05,0.0103637,0.705705,82.7487.,520
5.41156e-05,0.0103637,0.709819,84.791.,563
5.61967e-05,0.0103637,0.699009,93.4055.,421
9.10031e-05,0.0103637,0.71564,74.1192.,1174
8.14274e-05,0.0103637,0.720275,83.2161.,659
5.95189e-05,0.0103637,0.695324,94.8049.,409
9.35358e-05,0.0103637,0.69516,72.2744.,940
9.20895e-05,0.0103637,0.702738,93.935.,271
5.44486e-05,0.0103637,0.700355,96.7835.,658
8.01134e-05,0.0103637,0.709106,86.4099.,837
0.000126472,0.0103637,0.717211,87.3714.,238
9.41776e-05,0.0103637,0.69913,77.0284.,825
9.04576e-05,0.0103637,0.68161,74.9314.,905
5.60715e-05,0.0103637,0.693052,87.7317.,586
5.48228e-05,0.0103637,0.701331,91.005.,426
7.2926e-05,0.0103637,0.710403,76.2978.,988
7.8762e-05,0.0103637,0.688174,84.0268.,1029
6.12664e-05,0.0103637,0.68999,82.958.,723
7.71916e-05,0.0103637,0.704695,80.859.,877
6.14353e-05,0.0103637,0.72228,78.3619.,827
0.000117261,0.0103637,0.697211,87.6379.,627
6.42763e-05,0.0103637,0.701242,82.0693.,796
5.84661e-05,0.0103637,0.701132,75.4678.,1262
3.73013e-05,0.0103637,0.693116,85.7208.,677
7.05513e-05,0.0103637,0.722625,78.6163.,860
5.73876e-05,0.0103637,0.706571,97.2452.,392
7.54649e-05,0.0103637,0.702395,80.0625.,810
5.35854e-05,0.0103637,0.706181,85.7072.,755
8.22107e-05,0.0103637,0.700251,75.0646.,1089
7.8252e-05,0.0103637,0.684139,82.1324.,773
8.1221e-05,0.0103637,0.691527,90.3791.,611
0.000110163,0.0103637,0.702362,99.9413.,506
5.54961e-05,0.0103637,0.709284,72.5502.,882
7.37375e-05,0.0103637,0.696269,83.4268.,761
8.96068e-05,0.0103637,0.707139,87.4954.,393
5.39211e-05,0.0103637,0.696067,83.3203.,762
7.70122e-05,0.0103637,0.702879,91.7128.,613
1 regularity variability improvement Evolution error steps
2 6.90773e-05 0.0103637 0.696191 105.032. 341
3 7.57369e-05 0.0103637 0.693269 91.0336. 459
4 5.95909e-05 0.0103637 0.712521 74.0894. 1033
5 4.89834e-05 0.0103637 0.705441 77.0829. 794
6 8.55427e-05 0.0103637 0.706556 84.9413. 770
7 6.69145e-05 0.0103637 0.694754 103.909. 501
8 8.78648e-05 0.0103637 0.697778 88.0771. 1023
9 4.89849e-05 0.0103637 0.693094 93.4708. 847
10 7.05473e-05 0.0103637 0.698525 83.1573. 1650
11 6.45204e-05 0.0103637 0.703132 80.9548. 760
12 8.39504e-05 0.0103637 0.693773 78.1902. 1161
13 8.95153e-05 0.0103637 0.703214 84.7296. 755
14 8.94125e-05 0.0103637 0.683541 94.4156. 468
15 7.65955e-05 0.0103637 0.699209 84.0696. 618
16 8.48235e-05 0.0103637 0.694151 83.4435. 893
17 9.25653e-05 0.0103637 0.696425 88.5741. 486
18 8.37081e-05 0.0103637 0.705391 77.5017. 773
19 9.46274e-05 0.0103637 0.701869 82.8934. 558
20 5.84861e-05 0.0103637 0.696648 89.5173. 466
21 9.22039e-05 0.0103637 0.712275 92.6297. 329
22 0.00012461 0.0103637 0.683813 88.5844. 399
23 7.19627e-05 0.0103637 0.700576 82.1173. 915
24 7.32875e-05 0.0103637 0.710566 73.2. 1200
25 5.93684e-05 0.0103637 0.688111 84.76. 694
26 5.17231e-05 0.0103637 0.692695 73.4001. 1904
27 4.92345e-05 0.0103637 0.697164 92.3227. 651
28 5.09248e-05 0.0103637 0.705689 84.2123. 838
29 5.77824e-05 0.0103637 0.695727 84.2583. 934
30 6.0101e-05 0.0103637 0.708621 78.5571. 890
31 7.71719e-05 0.0103637 0.691677 89.2675. 413
32 6.55075e-05 0.0103637 0.713333 81.8836. 698
33 0.000101797 0.0103637 0.703862 83.885. 976
34 7.79595e-05 0.0103637 0.698338 91.469. 560
35 0.000105659 0.0103637 0.696847 81.0534. 567
36 8.72629e-05 0.0103637 0.704344 90.3739. 964
37 8.31702e-05 0.0103637 0.697422 85.6114. 1014
38 8.6789e-05 0.0103637 0.698602 91.687. 521
39 7.10164e-05 0.0103637 0.7117 90.1008. 429
40 0.000101594 0.0103637 0.702448 89.7677. 515
41 0.000103224 0.0103637 0.692531 79.4512. 1146
42 8.97257e-05 0.0103637 0.700891 86.5543. 643
43 8.25712e-05 0.0103637 0.703818 88.7329. 628
44 7.03787e-05 0.0103637 0.702183 91.8764. 620
45 5.56783e-05 0.0103637 0.695291 85.9747. 514
46 9.51288e-05 0.0103637 0.705779 82.843. 486
47 7.92477e-05 0.0103637 0.699163 83.5281. 450
48 7.05724e-05 0.0103637 0.698192 78.0961. 1108
49 3.93866e-05 0.0103637 0.690332 104.49. 396
50 8.71878e-05 0.0103637 0.69152 88.2734. 576
51 8.24219e-05 0.0103637 0.69624 102.032. 365
52 0.000124221 0.0103637 0.691391 85.7869. 626
53 5.84913e-05 0.0103637 0.68327 90.7034. 538
54 8.13743e-05 0.0103637 0.708162 89.582. 517
55 8.26589e-05 0.0103637 0.697338 83.1789. 776
56 7.39471e-05 0.0103637 0.723246 75.4405. 980
57 5.31401e-05 0.0103637 0.700546 79.2881. 688
58 7.2695e-05 0.0103637 0.701524 86.13. 655
59 5.20609e-05 0.0103637 0.708881 85.3256. 544
60 8.70549e-05 0.0103637 0.694314 83.3977. 1043
61 8.10432e-05 0.0103637 0.698992 84.789. 346
62 7.37989e-05 0.0103637 0.701496 88.6137. 628
63 8.71038e-05 0.0103637 0.699252 82.1479. 722
64 5.45338e-05 0.0103637 0.698811 75.152. 1091
65 8.03217e-05 0.0103637 0.705705 82.7487. 520
66 5.41156e-05 0.0103637 0.709819 84.791. 563
67 5.61967e-05 0.0103637 0.699009 93.4055. 421
68 9.10031e-05 0.0103637 0.71564 74.1192. 1174
69 8.14274e-05 0.0103637 0.720275 83.2161. 659
70 5.95189e-05 0.0103637 0.695324 94.8049. 409
71 9.35358e-05 0.0103637 0.69516 72.2744. 940
72 9.20895e-05 0.0103637 0.702738 93.935. 271
73 5.44486e-05 0.0103637 0.700355 96.7835. 658
74 8.01134e-05 0.0103637 0.709106 86.4099. 837
75 0.000126472 0.0103637 0.717211 87.3714. 238
76 9.41776e-05 0.0103637 0.69913 77.0284. 825
77 9.04576e-05 0.0103637 0.68161 74.9314. 905
78 5.60715e-05 0.0103637 0.693052 87.7317. 586
79 5.48228e-05 0.0103637 0.701331 91.005. 426
80 7.2926e-05 0.0103637 0.710403 76.2978. 988
81 7.8762e-05 0.0103637 0.688174 84.0268. 1029
82 6.12664e-05 0.0103637 0.68999 82.958. 723
83 7.71916e-05 0.0103637 0.704695 80.859. 877
84 6.14353e-05 0.0103637 0.72228 78.3619. 827
85 0.000117261 0.0103637 0.697211 87.6379. 627
86 6.42763e-05 0.0103637 0.701242 82.0693. 796
87 5.84661e-05 0.0103637 0.701132 75.4678. 1262
88 3.73013e-05 0.0103637 0.693116 85.7208. 677
89 7.05513e-05 0.0103637 0.722625 78.6163. 860
90 5.73876e-05 0.0103637 0.706571 97.2452. 392
91 7.54649e-05 0.0103637 0.702395 80.0625. 810
92 5.35854e-05 0.0103637 0.706181 85.7072. 755
93 8.22107e-05 0.0103637 0.700251 75.0646. 1089
94 7.8252e-05 0.0103637 0.684139 82.1324. 773
95 8.1221e-05 0.0103637 0.691527 90.3791. 611
96 0.000110163 0.0103637 0.702362 99.9413. 506
97 5.54961e-05 0.0103637 0.709284 72.5502. 882
98 7.37375e-05 0.0103637 0.696269 83.4268. 761
99 8.96068e-05 0.0103637 0.707139 87.4954. 393
100 5.39211e-05 0.0103637 0.696067 83.3203. 762
101 7.70122e-05 0.0103637 0.702879 91.7128. 613

76
dokumentation/evolution3d/20170926_3dFit_both.gnuplot.fit.log → dokumentation/evolution3d/20171005_3dFit_7x4x4_100times.gnuplot.fit.log
View File

@ -1,12 +1,12 @@
******************************************************************************* *******************************************************************************
Sun Oct 1 20:12:38 2017 Sat Oct 7 11:48:58 2017
FIT: data read from "20170926_3dFit_both.csv" every ::1 using 1:5 FIT: data read from "20171005_3dFit_7x4x4_100times.csv" every ::1 using 1:5
format = x:z format = x:z
#datapoints = 200 #datapoints = 100
residuals are weighted equally (unit weight) residuals are weighted equally (unit weight)
function used for fitting: f(x) function used for fitting: f(x)
@ -15,7 +15,7 @@ fitted parameters initialized with current variable values
Iteration 0 Iteration 0
WSSR : 6.57855e+08 delta(WSSR)/WSSR : 0 WSSR : 5.99179e+07 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05 delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.707107 lambda : 0.707107
@ -25,34 +25,34 @@ a = 1
b = 1 b = 1
After 7 iterations the fit converged. After 7 iterations the fit converged.
final sum of squares of residuals : 7.34036e+07 final sum of squares of residuals : 7.64082e+06
rel. change during last iteration : -3.02117e-11 rel. change during last iteration : -6.5908e-10
degrees of freedom (FIT_NDF) : 198 degrees of freedom (FIT_NDF) : 98
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 608.872 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 279.227
variance of residuals (reduced chisquare) = WSSR/ndf : 370725 variance of residuals (reduced chisquare) = WSSR/ndf : 77967.5
Final set of parameters Asymptotic Standard Error Final set of parameters Asymptotic Standard Error
======================= ========================== ======================= ==========================
a = -1.68921e+07 +/- 1.511e+06 (8.945%) a = -2.13003e+06 +/- 1.528e+06 (71.73%)
b = 3032.87 +/- 131.7 (4.343%) b = 884.233 +/- 119 (13.46%)
correlation matrix of the fit parameters: correlation matrix of the fit parameters:
a b a b
a 1.000 a 1.000
b -0.945 1.000 b -0.972 1.000
******************************************************************************* *******************************************************************************
Sun Oct 1 20:12:38 2017 Sat Oct 7 11:48:58 2017
FIT: data read from "20170926_3dFit_both.csv" every ::1 using 3:5 FIT: data read from "20171005_3dFit_7x4x4_100times.csv" every ::1 using 3:5
format = x:z format = x:z
#datapoints = 200 #datapoints = 100
residuals are weighted equally (unit weight) residuals are weighted equally (unit weight)
function used for fitting: g(x) function used for fitting: g(x)
@ -61,9 +61,9 @@ fitted parameters initialized with current variable values
Iteration 0 Iteration 0
WSSR : 6.57424e+08 delta(WSSR)/WSSR : 0 WSSR : 5.98168e+07 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05 delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.856516 lambda : 0.863373
initial set of free parameter values initial set of free parameter values
@ -71,34 +71,34 @@ aa = 1
bb = 1 bb = 1
After 4 iterations the fit converged. After 4 iterations the fit converged.
final sum of squares of residuals : 5.05827e+07 final sum of squares of residuals : 7.78198e+06
rel. change during last iteration : -1.56089e-12 rel. change during last iteration : -6.03025e-08
degrees of freedom (FIT_NDF) : 198 degrees of freedom (FIT_NDF) : 98
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 505.439 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 281.794
variance of residuals (reduced chisquare) = WSSR/ndf : 255468 variance of residuals (reduced chisquare) = WSSR/ndf : 79408
Final set of parameters Asymptotic Standard Error Final set of parameters Asymptotic Standard Error
======================= ========================== ======================= ==========================
aa = -9234.91 +/- 561.3 (6.078%) aa = 1209.85 +/- 3345 (276.5%)
bb = 7926.36 +/- 383.7 (4.84%) bb = -124.568 +/- 2343 (1881%)
correlation matrix of the fit parameters: correlation matrix of the fit parameters:
aa bb aa bb
aa 1.000 aa 1.000
bb -0.996 1.000 bb -1.000 1.000
******************************************************************************* *******************************************************************************
Sun Oct 1 20:12:38 2017 Sat Oct 7 11:48:58 2017
FIT: data read from "20170926_3dFit_both.csv" every ::1 using 3:4 FIT: data read from "20171005_3dFit_7x4x4_100times.csv" every ::1 using 3:4
format = x:z format = x:z
#datapoints = 200 #datapoints = 100
residuals are weighted equally (unit weight) residuals are weighted equally (unit weight)
function used for fitting: h(x) function used for fitting: h(x)
@ -107,9 +107,9 @@ fitted parameters initialized with current variable values
Iteration 0 Iteration 0
WSSR : 1.95631e+06 delta(WSSR)/WSSR : 0 WSSR : 705113 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05 delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.856516 lambda : 0.863373
initial set of free parameter values initial set of free parameter values
@ -117,22 +117,22 @@ aaa = 1
bbb = 1 bbb = 1
After 4 iterations the fit converged. After 4 iterations the fit converged.
final sum of squares of residuals : 5749.96 final sum of squares of residuals : 4691.18
rel. change during last iteration : -1.9804e-11 rel. change during last iteration : -8.51727e-06
degrees of freedom (FIT_NDF) : 198 degrees of freedom (FIT_NDF) : 98
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.3889 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.91876
variance of residuals (reduced chisquare) = WSSR/ndf : 29.0402 variance of residuals (reduced chisquare) = WSSR/ndf : 47.8692
Final set of parameters Asymptotic Standard Error Final set of parameters Asymptotic Standard Error
======================= ========================== ======================= ==========================
aaa = -333.854 +/- 5.984 (1.793%) aaa = -213.511 +/- 82.13 (38.46%)
bbb = 325.32 +/- 4.091 (1.257%) bbb = 234.945 +/- 57.54 (24.49%)
correlation matrix of the fit parameters: correlation matrix of the fit parameters:
aaa bbb aaa bbb
aaa 1.000 aaa 1.000
bbb -0.996 1.000 bbb -1.000 1.000

261
dokumentation/evolution3d/20171005_3dFit_7x4x4_100times.gnuplot.log Normal file
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@ -0,0 +1,261 @@
Iteration 0
WSSR : 5.99179e+07 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 : 7.79366e+06 delta(WSSR)/WSSR : -6.68803
delta(WSSR) : -5.21242e+07 limit for stopping : 1e-05
lambda : 0.0707107
resultant parameter values
a = 0.912087
b = 719.388
/
Iteration 2
WSSR : 7.79237e+06 delta(WSSR)/WSSR : -0.000165833
delta(WSSR) : -1292.23 limit for stopping : 1e-05
lambda : 0.00707107
resultant parameter values
a = -13.3174
b = 722.981
/
Iteration 3
WSSR : 7.79217e+06 delta(WSSR)/WSSR : -2.596e-05
delta(WSSR) : -202.284 limit for stopping : 1e-05
lambda : 0.000707107
resultant parameter values
a = -1435.35
b = 723.089
/
Iteration 4
WSSR : 7.7738e+06 delta(WSSR)/WSSR : -0.00236201
delta(WSSR) : -18361.8 limit for stopping : 1e-05
lambda : 7.07107e-05
resultant parameter values
a = -134733
b = 733.18
/
Iteration 5
WSSR : 7.64307e+06 delta(WSSR)/WSSR : -0.0171044
delta(WSSR) : -130730 limit for stopping : 1e-05
lambda : 7.07107e-06
resultant parameter values
a = -1.87024e+06
b = 864.567
/
Iteration 6
WSSR : 7.64082e+06 delta(WSSR)/WSSR : -0.000295031
delta(WSSR) : -2254.28 limit for stopping : 1e-05
lambda : 7.07107e-07
resultant parameter values
a = -2.12964e+06
b = 884.204
/
Iteration 7
WSSR : 7.64082e+06 delta(WSSR)/WSSR : -6.5908e-10
delta(WSSR) : -0.00503591 limit for stopping : 1e-05
lambda : 7.07107e-08
resultant parameter values
a = -2.13003e+06
b = 884.233
After 7 iterations the fit converged.
final sum of squares of residuals : 7.64082e+06
rel. change during last iteration : -6.5908e-10
degrees of freedom (FIT_NDF) : 98
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 279.227
variance of residuals (reduced chisquare) = WSSR/ndf : 77967.5
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = -2.13003e+06 +/- 1.528e+06 (71.73%)
b = 884.233 +/- 119 (13.46%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.972 1.000
Iteration 0
WSSR : 5.98168e+07 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.863373
initial set of free parameter values
aa = 1
bb = 1
/
Iteration 1
WSSR : 7.78857e+06 delta(WSSR)/WSSR : -6.68007
delta(WSSR) : -5.20282e+07 limit for stopping : 1e-05
lambda : 0.0863373
resultant parameter values
aa = 343.804
bb = 478.572
/
Iteration 2
WSSR : 7.78396e+06 delta(WSSR)/WSSR : -0.000593008
delta(WSSR) : -4615.94 limit for stopping : 1e-05
lambda : 0.00863373
resultant parameter values
aa = 682.383
bb = 244.962
/
Iteration 3
WSSR : 7.78198e+06 delta(WSSR)/WSSR : -0.000253695
delta(WSSR) : -1974.25 limit for stopping : 1e-05
lambda : 0.000863373
resultant parameter values
aa = 1201.72
bb = -118.872
/
Iteration 4
WSSR : 7.78198e+06 delta(WSSR)/WSSR : -6.03025e-08
delta(WSSR) : -0.469273 limit for stopping : 1e-05
lambda : 8.63373e-05
resultant parameter values
aa = 1209.85
bb = -124.568
After 4 iterations the fit converged.
final sum of squares of residuals : 7.78198e+06
rel. change during last iteration : -6.03025e-08
degrees of freedom (FIT_NDF) : 98
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 281.794
variance of residuals (reduced chisquare) = WSSR/ndf : 79408
Final set of parameters Asymptotic Standard Error
======================= ==========================
aa = 1209.85 +/- 3345 (276.5%)
bb = -124.568 +/- 2343 (1881%)
correlation matrix of the fit parameters:
aa bb
aa 1.000
bb -1.000 1.000
Iteration 0
WSSR : 705113 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.863373
initial set of free parameter values
aaa = 1
bbb = 1
/
Iteration 1
WSSR : 5160.01 delta(WSSR)/WSSR : -135.65
delta(WSSR) : -699953 limit for stopping : 1e-05
lambda : 0.0863373
resultant parameter values
aaa = 38.5099
bbb = 57.9699
/
Iteration 2
WSSR : 4859.32 delta(WSSR)/WSSR : -0.0618793
delta(WSSR) : -300.691 limit for stopping : 1e-05
lambda : 0.00863373
resultant parameter values
aaa = -59.5982
bbb = 127.118
/
Iteration 3
WSSR : 4691.22 delta(WSSR)/WSSR : -0.0358322
delta(WSSR) : -168.097 limit for stopping : 1e-05
lambda : 0.000863373
resultant parameter values
aaa = -211.139
bbb = 233.283
/
Iteration 4
WSSR : 4691.18 delta(WSSR)/WSSR : -8.51727e-06
delta(WSSR) : -0.039956 limit for stopping : 1e-05
lambda : 8.63373e-05
resultant parameter values
aaa = -213.511
bbb = 234.945
After 4 iterations the fit converged.
final sum of squares of residuals : 4691.18
rel. change during last iteration : -8.51727e-06
degrees of freedom (FIT_NDF) : 98
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.91876
variance of residuals (reduced chisquare) = WSSR/ndf : 47.8692
Final set of parameters Asymptotic Standard Error
======================= ==========================
aaa = -213.511 +/- 82.13 (38.46%)
bbb = 234.945 +/- 57.54 (24.49%)
correlation matrix of the fit parameters:
aaa bbb
aaa 1.000
bbb -1.000 1.000

20
dokumentation/evolution3d/20171005_3dFit_7x4x4_100times.gnuplot.script Normal file
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@ -0,0 +1,20 @@
set datafile separator ","
f(x)=a*x+b
fit f(x) "20171005_3dFit_7x4x4_100times.csv" every ::1 using 1:5 via a,b
set terminal png
set xlabel 'regularity'
set ylabel 'steps'
set output "20171005_3dFit_7x4x4_100times_regularity-vs-steps.png"
plot "20171005_3dFit_7x4x4_100times.csv" every ::1 using 1:5 title "data", f(x) title "lin. fit" lc rgb "black"
g(x)=aa*x+bb
fit g(x) "20171005_3dFit_7x4x4_100times.csv" every ::1 using 3:5 via aa,bb
set xlabel 'improvement potential'
set ylabel 'steps'
set output "20171005_3dFit_7x4x4_100times_improvement-vs-steps.png"
plot "20171005_3dFit_7x4x4_100times.csv" every ::1 using 3:5 title "data", g(x) title "lin. fit" lc rgb "black"
h(x)=aaa*x+bbb
fit h(x) "20171005_3dFit_7x4x4_100times.csv" every ::1 using 3:4 via aaa,bbb
set xlabel 'improvement potential'
set ylabel 'evolution error'
set output "20171005_3dFit_7x4x4_100times_improvement-vs-evo-error.png"
plot "20171005_3dFit_7x4x4_100times.csv" every ::1 using 3:4 title "data", h(x) title "lin. fit" lc rgb "black"

1839
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200
dokumentation/evolution3d/20170926_3dFit_both.csv → dokumentation/evolution3d/20171007_3dFit_all.csv
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@ -199,3 +199,203 @@ regularity,variability,improvement,"Evolution error",steps
7.8021e-05,0.0115666,0.740389,89.1144.,578 7.8021e-05,0.0115666,0.740389,89.1144.,578
7.86278e-05,0.0115666,0.722219,86.8059.,708 7.86278e-05,0.0115666,0.722219,86.8059.,708
0.000152359,0.0115666,0.740523,75.2054.,976 0.000152359,0.0115666,0.740523,75.2054.,976
0.000136559,0.00740261,0.64595,104.911.,1607
0.000119061,0.00740261,0.648063,102.122.,2160
0.00014586,0.00740261,0.662359,100.463.,1781
0.000143911,0.00740261,0.647409,111.329.,1435
0.000100089,0.00740261,0.660347,104.712.,1394
0.00019449,0.00740261,0.643112,100.048.,1764
0.000139001,0.00740261,0.636985,102.05.,1923
9.23895e-05,0.00740261,0.651932,98.3549.,2200
0.000151896,0.00740261,0.654589,93.4038.,2609
9.96526e-05,0.00740261,0.663458,104.028.,1515
0.000140183,0.00740261,0.655494,102.965.,1602
0.000146938,0.00740261,0.656983,102.822.,1591
0.000127648,0.00740261,0.644146,97.9662.,2250
0.000133108,0.00740261,0.653198,100.341.,2206
0.000136798,0.00740261,0.639845,109.73.,1540
0.000101394,0.00740261,0.6633,99.6362.,2820
0.000125845,0.00740261,0.647015,113.29.,1861
0.000104427,0.00740261,0.647875,112.572.,1198
0.000140362,0.00740261,0.669356,86.3175.,2124
0.000114307,0.00740261,0.669332,91.637.,2806
9.09613e-05,0.00740261,0.653191,107.27.,1502
0.000130204,0.00740261,0.651758,110.797.,1133
0.00014725,0.00740261,0.649409,99.0484.,1656
0.000110507,0.00740261,0.651763,94.2222.,2395
0.000153747,0.00740261,0.653734,104.417.,2041
0.000108131,0.00740261,0.648279,96.4144.,2267
0.000126425,0.00740261,0.658424,108.23.,1793
0.00011876,0.00740261,0.658874,98.5045.,1906
7.79227e-05,0.00740261,0.664063,93.4554.,2181
0.000124995,0.00740261,0.649892,110.564.,1778
0.000135721,0.00740261,0.665436,104.082.,1365
0.000108043,0.00740261,0.665742,95.1024.,2120
0.00013341,0.00740261,0.654181,100.132.,2496
0.000107614,0.00740261,0.659173,102.451.,2798
0.000126198,0.00740261,0.643969,116.302.,1655
0.000110899,0.00740261,0.660032,98.5173.,2555
0.000158971,0.00740261,0.641391,104.428.,1847
0.000156538,0.00740261,0.647057,104.909.,2023
0.000124514,0.00740261,0.649594,106.289.,1776
0.000141513,0.00740261,0.650988,106.708.,1510
0.000138867,0.00740261,0.653552,108.022.,1558
9.31002e-05,0.00740261,0.648143,97.8253.,2547
0.00011634,0.00740261,0.659954,114.829.,1103
0.000104627,0.00740261,0.658879,115.054.,1440
0.000136417,0.00740261,0.6429,106.6.,1345
0.00012931,0.00740261,0.63474,105.157.,1201
0.000107738,0.00740261,0.671551,93.2856.,2956
0.000114915,0.00740261,0.654224,98.8994.,1428
0.000104432,0.00740261,0.642969,117.524.,1103
0.00013635,0.00740261,0.671219,97.0705.,2329
0.00014468,0.00740261,0.64633,95.9897.,1552
0.000131339,0.00740261,0.65456,104.384.,2112
0.000137424,0.00740261,0.641967,104.01.,1864
0.000119603,0.00740261,0.643056,104.585.,1573
0.000152567,0.00740261,0.66439,98.8101.,1297
9.48346e-05,0.00740261,0.657038,104.262.,2105
0.000134127,0.00740261,0.65476,95.1758.,2638
0.000115945,0.00740261,0.655308,109.61.,1354
8.95548e-05,0.00740261,0.642705,96.3427.,2743
0.000177255,0.00740261,0.658675,106.331.,1506
9.39073e-05,0.00740261,0.655253,103.753.,1723
0.000118136,0.00740261,0.646319,106.698.,1690
0.000143213,0.00740261,0.662647,97.9397.,1209
0.000124885,0.00740261,0.65789,106.656.,1534
0.000122815,0.00740261,0.673803,102.299.,1433
0.00011158,0.00740261,0.652635,104.71.,1827
0.000143072,0.00740261,0.651031,99.6516.,1526
0.000121757,0.00740261,0.681384,85.3402.,4935
9.94695e-05,0.00740261,0.651079,103.875.,2087
0.000161101,0.00740261,0.654378,99.7871.,1947
0.000122246,0.00740261,0.65679,99.823.,2190
0.000147347,0.00740261,0.6422,110.554.,1301
0.000112197,0.00740261,0.654611,114.952.,998
0.00011529,0.00740261,0.643761,99.7046.,1245
0.000161519,0.00740261,0.653702,96.1227.,2219
0.000137877,0.00740261,0.646996,94.9822.,3061
0.000113204,0.00740261,0.629358,109.207.,1124
0.000160504,0.00740261,0.643509,106.855.,1157
0.000115618,0.00740261,0.667462,110.589.,1601
0.000155458,0.00740261,0.663885,96.4926.,1549
0.00012474,0.00740261,0.64672,104.201.,1704
0.000147478,0.00740261,0.656898,95.364.,2012
0.000134001,0.00740261,0.648474,95.9782.,1790
0.00013438,0.00740261,0.648077,109.152.,1449
0.000140607,0.00740261,0.640552,99.7984.,1505
0.000107889,0.00740261,0.663999,106.249.,1998
0.000149274,0.00740261,0.662709,91.3925.,1790
0.000121329,0.00740261,0.647837,102.095.,2291
0.000104416,0.00740261,0.663697,108.615.,1725
0.000103746,0.00740261,0.656774,100.235.,2358
9.74274e-05,0.00740261,0.655777,102.616.,2110
9.50543e-05,0.00740261,0.639904,114.163.,1233
0.000151294,0.00740261,0.645149,107.106.,1845
0.000134623,0.00740261,0.657907,94.8621.,1577
8.51088e-05,0.00740261,0.66594,91.0518.,2146
0.000131458,0.00740261,0.642009,112.361.,1165
0.000162778,0.00740261,0.642773,119.675.,1364
0.000113733,0.00740261,0.652888,102.147.,2012
0.000119502,0.00740261,0.65036,103.006.,1817
0.000123499,0.00740261,0.642794,104.759.,1498
6.90773e-05,0.0103637,0.696191,105.032.,341
7.57369e-05,0.0103637,0.693269,91.0336.,459
5.95909e-05,0.0103637,0.712521,74.0894.,1033
4.89834e-05,0.0103637,0.705441,77.0829.,794
8.55427e-05,0.0103637,0.706556,84.9413.,770
6.69145e-05,0.0103637,0.694754,103.909.,501
8.78648e-05,0.0103637,0.697778,88.0771.,1023
4.89849e-05,0.0103637,0.693094,93.4708.,847
7.05473e-05,0.0103637,0.698525,83.1573.,1650
6.45204e-05,0.0103637,0.703132,80.9548.,760
8.39504e-05,0.0103637,0.693773,78.1902.,1161
8.95153e-05,0.0103637,0.703214,84.7296.,755
8.94125e-05,0.0103637,0.683541,94.4156.,468
7.65955e-05,0.0103637,0.699209,84.0696.,618
8.48235e-05,0.0103637,0.694151,83.4435.,893
9.25653e-05,0.0103637,0.696425,88.5741.,486
8.37081e-05,0.0103637,0.705391,77.5017.,773
9.46274e-05,0.0103637,0.701869,82.8934.,558
5.84861e-05,0.0103637,0.696648,89.5173.,466
9.22039e-05,0.0103637,0.712275,92.6297.,329
0.00012461,0.0103637,0.683813,88.5844.,399
7.19627e-05,0.0103637,0.700576,82.1173.,915
7.32875e-05,0.0103637,0.710566,73.2.,1200
5.93684e-05,0.0103637,0.688111,84.76.,694
5.17231e-05,0.0103637,0.692695,73.4001.,1904
4.92345e-05,0.0103637,0.697164,92.3227.,651
5.09248e-05,0.0103637,0.705689,84.2123.,838
5.77824e-05,0.0103637,0.695727,84.2583.,934
6.0101e-05,0.0103637,0.708621,78.5571.,890
7.71719e-05,0.0103637,0.691677,89.2675.,413
6.55075e-05,0.0103637,0.713333,81.8836.,698
0.000101797,0.0103637,0.703862,83.885.,976
7.79595e-05,0.0103637,0.698338,91.469.,560
0.000105659,0.0103637,0.696847,81.0534.,567
8.72629e-05,0.0103637,0.704344,90.3739.,964
8.31702e-05,0.0103637,0.697422,85.6114.,1014
8.6789e-05,0.0103637,0.698602,91.687.,521
7.10164e-05,0.0103637,0.7117,90.1008.,429
0.000101594,0.0103637,0.702448,89.7677.,515
0.000103224,0.0103637,0.692531,79.4512.,1146
8.97257e-05,0.0103637,0.700891,86.5543.,643
8.25712e-05,0.0103637,0.703818,88.7329.,628
7.03787e-05,0.0103637,0.702183,91.8764.,620
5.56783e-05,0.0103637,0.695291,85.9747.,514
9.51288e-05,0.0103637,0.705779,82.843.,486
7.92477e-05,0.0103637,0.699163,83.5281.,450
7.05724e-05,0.0103637,0.698192,78.0961.,1108
3.93866e-05,0.0103637,0.690332,104.49.,396
8.71878e-05,0.0103637,0.69152,88.2734.,576
8.24219e-05,0.0103637,0.69624,102.032.,365
0.000124221,0.0103637,0.691391,85.7869.,626
5.84913e-05,0.0103637,0.68327,90.7034.,538
8.13743e-05,0.0103637,0.708162,89.582.,517
8.26589e-05,0.0103637,0.697338,83.1789.,776
7.39471e-05,0.0103637,0.723246,75.4405.,980
5.31401e-05,0.0103637,0.700546,79.2881.,688
7.2695e-05,0.0103637,0.701524,86.13.,655
5.20609e-05,0.0103637,0.708881,85.3256.,544
8.70549e-05,0.0103637,0.694314,83.3977.,1043
8.10432e-05,0.0103637,0.698992,84.789.,346
7.37989e-05,0.0103637,0.701496,88.6137.,628
8.71038e-05,0.0103637,0.699252,82.1479.,722
5.45338e-05,0.0103637,0.698811,75.152.,1091
8.03217e-05,0.0103637,0.705705,82.7487.,520
5.41156e-05,0.0103637,0.709819,84.791.,563
5.61967e-05,0.0103637,0.699009,93.4055.,421
9.10031e-05,0.0103637,0.71564,74.1192.,1174
8.14274e-05,0.0103637,0.720275,83.2161.,659
5.95189e-05,0.0103637,0.695324,94.8049.,409
9.35358e-05,0.0103637,0.69516,72.2744.,940
9.20895e-05,0.0103637,0.702738,93.935.,271
5.44486e-05,0.0103637,0.700355,96.7835.,658
8.01134e-05,0.0103637,0.709106,86.4099.,837
0.000126472,0.0103637,0.717211,87.3714.,238
9.41776e-05,0.0103637,0.69913,77.0284.,825
9.04576e-05,0.0103637,0.68161,74.9314.,905
5.60715e-05,0.0103637,0.693052,87.7317.,586
5.48228e-05,0.0103637,0.701331,91.005.,426
7.2926e-05,0.0103637,0.710403,76.2978.,988
7.8762e-05,0.0103637,0.688174,84.0268.,1029
6.12664e-05,0.0103637,0.68999,82.958.,723
7.71916e-05,0.0103637,0.704695,80.859.,877
6.14353e-05,0.0103637,0.72228,78.3619.,827
0.000117261,0.0103637,0.697211,87.6379.,627
6.42763e-05,0.0103637,0.701242,82.0693.,796
5.84661e-05,0.0103637,0.701132,75.4678.,1262
3.73013e-05,0.0103637,0.693116,85.7208.,677
7.05513e-05,0.0103637,0.722625,78.6163.,860
5.73876e-05,0.0103637,0.706571,97.2452.,392
7.54649e-05,0.0103637,0.702395,80.0625.,810
5.35854e-05,0.0103637,0.706181,85.7072.,755
8.22107e-05,0.0103637,0.700251,75.0646.,1089
7.8252e-05,0.0103637,0.684139,82.1324.,773
8.1221e-05,0.0103637,0.691527,90.3791.,611
0.000110163,0.0103637,0.702362,99.9413.,506
5.54961e-05,0.0103637,0.709284,72.5502.,882
7.37375e-05,0.0103637,0.696269,83.4268.,761
8.96068e-05,0.0103637,0.707139,87.4954.,393
5.39211e-05,0.0103637,0.696067,83.3203.,762
7.70122e-05,0.0103637,0.702879,91.7128.,613
1 regularity variability improvement Evolution error steps
199 7.8021e-05 0.0115666 0.740389 89.1144. 578
200 7.86278e-05 0.0115666 0.722219 86.8059. 708
201 0.000152359 0.0115666 0.740523 75.2054. 976
202 0.000136559 0.00740261 0.64595 104.911. 1607
203 0.000119061 0.00740261 0.648063 102.122. 2160
204 0.00014586 0.00740261 0.662359 100.463. 1781
205 0.000143911 0.00740261 0.647409 111.329. 1435
206 0.000100089 0.00740261 0.660347 104.712. 1394
207 0.00019449 0.00740261 0.643112 100.048. 1764
208 0.000139001 0.00740261 0.636985 102.05. 1923
209 9.23895e-05 0.00740261 0.651932 98.3549. 2200
210 0.000151896 0.00740261 0.654589 93.4038. 2609
211 9.96526e-05 0.00740261 0.663458 104.028. 1515
212 0.000140183 0.00740261 0.655494 102.965. 1602
213 0.000146938 0.00740261 0.656983 102.822. 1591
214 0.000127648 0.00740261 0.644146 97.9662. 2250
215 0.000133108 0.00740261 0.653198 100.341. 2206
216 0.000136798 0.00740261 0.639845 109.73. 1540
217 0.000101394 0.00740261 0.6633 99.6362. 2820
218 0.000125845 0.00740261 0.647015 113.29. 1861
219 0.000104427 0.00740261 0.647875 112.572. 1198
220 0.000140362 0.00740261 0.669356 86.3175. 2124
221 0.000114307 0.00740261 0.669332 91.637. 2806
222 9.09613e-05 0.00740261 0.653191 107.27. 1502
223 0.000130204 0.00740261 0.651758 110.797. 1133
224 0.00014725 0.00740261 0.649409 99.0484. 1656
225 0.000110507 0.00740261 0.651763 94.2222. 2395
226 0.000153747 0.00740261 0.653734 104.417. 2041
227 0.000108131 0.00740261 0.648279 96.4144. 2267
228 0.000126425 0.00740261 0.658424 108.23. 1793
229 0.00011876 0.00740261 0.658874 98.5045. 1906
230 7.79227e-05 0.00740261 0.664063 93.4554. 2181
231 0.000124995 0.00740261 0.649892 110.564. 1778
232 0.000135721 0.00740261 0.665436 104.082. 1365
233 0.000108043 0.00740261 0.665742 95.1024. 2120
234 0.00013341 0.00740261 0.654181 100.132. 2496
235 0.000107614 0.00740261 0.659173 102.451. 2798
236 0.000126198 0.00740261 0.643969 116.302. 1655
237 0.000110899 0.00740261 0.660032 98.5173. 2555
238 0.000158971 0.00740261 0.641391 104.428. 1847
239 0.000156538 0.00740261 0.647057 104.909. 2023
240 0.000124514 0.00740261 0.649594 106.289. 1776
241 0.000141513 0.00740261 0.650988 106.708. 1510
242 0.000138867 0.00740261 0.653552 108.022. 1558
243 9.31002e-05 0.00740261 0.648143 97.8253. 2547
244 0.00011634 0.00740261 0.659954 114.829. 1103
245 0.000104627 0.00740261 0.658879 115.054. 1440
246 0.000136417 0.00740261 0.6429 106.6. 1345
247 0.00012931 0.00740261 0.63474 105.157. 1201
248 0.000107738 0.00740261 0.671551 93.2856. 2956
249 0.000114915 0.00740261 0.654224 98.8994. 1428
250 0.000104432 0.00740261 0.642969 117.524. 1103
251 0.00013635 0.00740261 0.671219 97.0705. 2329
252 0.00014468 0.00740261 0.64633 95.9897. 1552
253 0.000131339 0.00740261 0.65456 104.384. 2112
254 0.000137424 0.00740261 0.641967 104.01. 1864
255 0.000119603 0.00740261 0.643056 104.585. 1573
256 0.000152567 0.00740261 0.66439 98.8101. 1297
257 9.48346e-05 0.00740261 0.657038 104.262. 2105
258 0.000134127 0.00740261 0.65476 95.1758. 2638
259 0.000115945 0.00740261 0.655308 109.61. 1354
260 8.95548e-05 0.00740261 0.642705 96.3427. 2743
261 0.000177255 0.00740261 0.658675 106.331. 1506
262 9.39073e-05 0.00740261 0.655253 103.753. 1723
263 0.000118136 0.00740261 0.646319 106.698. 1690
264 0.000143213 0.00740261 0.662647 97.9397. 1209
265 0.000124885 0.00740261 0.65789 106.656. 1534
266 0.000122815 0.00740261 0.673803 102.299. 1433
267 0.00011158 0.00740261 0.652635 104.71. 1827
268 0.000143072 0.00740261 0.651031 99.6516. 1526
269 0.000121757 0.00740261 0.681384 85.3402. 4935
270 9.94695e-05 0.00740261 0.651079 103.875. 2087
271 0.000161101 0.00740261 0.654378 99.7871. 1947
272 0.000122246 0.00740261 0.65679 99.823. 2190
273 0.000147347 0.00740261 0.6422 110.554. 1301
274 0.000112197 0.00740261 0.654611 114.952. 998
275 0.00011529 0.00740261 0.643761 99.7046. 1245
276 0.000161519 0.00740261 0.653702 96.1227. 2219
277 0.000137877 0.00740261 0.646996 94.9822. 3061
278 0.000113204 0.00740261 0.629358 109.207. 1124
279 0.000160504 0.00740261 0.643509 106.855. 1157
280 0.000115618 0.00740261 0.667462 110.589. 1601
281 0.000155458 0.00740261 0.663885 96.4926. 1549
282 0.00012474 0.00740261 0.64672 104.201. 1704
283 0.000147478 0.00740261 0.656898 95.364. 2012
284 0.000134001 0.00740261 0.648474 95.9782. 1790
285 0.00013438 0.00740261 0.648077 109.152. 1449
286 0.000140607 0.00740261 0.640552 99.7984. 1505
287 0.000107889 0.00740261 0.663999 106.249. 1998
288 0.000149274 0.00740261 0.662709 91.3925. 1790
289 0.000121329 0.00740261 0.647837 102.095. 2291
290 0.000104416 0.00740261 0.663697 108.615. 1725
291 0.000103746 0.00740261 0.656774 100.235. 2358
292 9.74274e-05 0.00740261 0.655777 102.616. 2110
293 9.50543e-05 0.00740261 0.639904 114.163. 1233
294 0.000151294 0.00740261 0.645149 107.106. 1845
295 0.000134623 0.00740261 0.657907 94.8621. 1577
296 8.51088e-05 0.00740261 0.66594 91.0518. 2146
297 0.000131458 0.00740261 0.642009 112.361. 1165
298 0.000162778 0.00740261 0.642773 119.675. 1364
299 0.000113733 0.00740261 0.652888 102.147. 2012
300 0.000119502 0.00740261 0.65036 103.006. 1817
301 0.000123499 0.00740261 0.642794 104.759. 1498
302 6.90773e-05 0.0103637 0.696191 105.032. 341
303 7.57369e-05 0.0103637 0.693269 91.0336. 459
304 5.95909e-05 0.0103637 0.712521 74.0894. 1033
305 4.89834e-05 0.0103637 0.705441 77.0829. 794
306 8.55427e-05 0.0103637 0.706556 84.9413. 770
307 6.69145e-05 0.0103637 0.694754 103.909. 501
308 8.78648e-05 0.0103637 0.697778 88.0771. 1023
309 4.89849e-05 0.0103637 0.693094 93.4708. 847
310 7.05473e-05 0.0103637 0.698525 83.1573. 1650
311 6.45204e-05 0.0103637 0.703132 80.9548. 760
312 8.39504e-05 0.0103637 0.693773 78.1902. 1161
313 8.95153e-05 0.0103637 0.703214 84.7296. 755
314 8.94125e-05 0.0103637 0.683541 94.4156. 468
315 7.65955e-05 0.0103637 0.699209 84.0696. 618
316 8.48235e-05 0.0103637 0.694151 83.4435. 893
317 9.25653e-05 0.0103637 0.696425 88.5741. 486
318 8.37081e-05 0.0103637 0.705391 77.5017. 773
319 9.46274e-05 0.0103637 0.701869 82.8934. 558
320 5.84861e-05 0.0103637 0.696648 89.5173. 466
321 9.22039e-05 0.0103637 0.712275 92.6297. 329
322 0.00012461 0.0103637 0.683813 88.5844. 399
323 7.19627e-05 0.0103637 0.700576 82.1173. 915
324 7.32875e-05 0.0103637 0.710566 73.2. 1200
325 5.93684e-05 0.0103637 0.688111 84.76. 694
326 5.17231e-05 0.0103637 0.692695 73.4001. 1904
327 4.92345e-05 0.0103637 0.697164 92.3227. 651
328 5.09248e-05 0.0103637 0.705689 84.2123. 838
329 5.77824e-05 0.0103637 0.695727 84.2583. 934
330 6.0101e-05 0.0103637 0.708621 78.5571. 890
331 7.71719e-05 0.0103637 0.691677 89.2675. 413
332 6.55075e-05 0.0103637 0.713333 81.8836. 698
333 0.000101797 0.0103637 0.703862 83.885. 976
334 7.79595e-05 0.0103637 0.698338 91.469. 560
335 0.000105659 0.0103637 0.696847 81.0534. 567
336 8.72629e-05 0.0103637 0.704344 90.3739. 964
337 8.31702e-05 0.0103637 0.697422 85.6114. 1014
338 8.6789e-05 0.0103637 0.698602 91.687. 521
339 7.10164e-05 0.0103637 0.7117 90.1008. 429
340 0.000101594 0.0103637 0.702448 89.7677. 515
341 0.000103224 0.0103637 0.692531 79.4512. 1146
342 8.97257e-05 0.0103637 0.700891 86.5543. 643
343 8.25712e-05 0.0103637 0.703818 88.7329. 628
344 7.03787e-05 0.0103637 0.702183 91.8764. 620
345 5.56783e-05 0.0103637 0.695291 85.9747. 514
346 9.51288e-05 0.0103637 0.705779 82.843. 486
347 7.92477e-05 0.0103637 0.699163 83.5281. 450
348 7.05724e-05 0.0103637 0.698192 78.0961. 1108
349 3.93866e-05 0.0103637 0.690332 104.49. 396
350 8.71878e-05 0.0103637 0.69152 88.2734. 576
351 8.24219e-05 0.0103637 0.69624 102.032. 365
352 0.000124221 0.0103637 0.691391 85.7869. 626
353 5.84913e-05 0.0103637 0.68327 90.7034. 538
354 8.13743e-05 0.0103637 0.708162 89.582. 517
355 8.26589e-05 0.0103637 0.697338 83.1789. 776
356 7.39471e-05 0.0103637 0.723246 75.4405. 980
357 5.31401e-05 0.0103637 0.700546 79.2881. 688
358 7.2695e-05 0.0103637 0.701524 86.13. 655
359 5.20609e-05 0.0103637 0.708881 85.3256. 544
360 8.70549e-05 0.0103637 0.694314 83.3977. 1043
361 8.10432e-05 0.0103637 0.698992 84.789. 346
362 7.37989e-05 0.0103637 0.701496 88.6137. 628
363 8.71038e-05 0.0103637 0.699252 82.1479. 722
364 5.45338e-05 0.0103637 0.698811 75.152. 1091
365 8.03217e-05 0.0103637 0.705705 82.7487. 520
366 5.41156e-05 0.0103637 0.709819 84.791. 563
367 5.61967e-05 0.0103637 0.699009 93.4055. 421
368 9.10031e-05 0.0103637 0.71564 74.1192. 1174
369 8.14274e-05 0.0103637 0.720275 83.2161. 659
370 5.95189e-05 0.0103637 0.695324 94.8049. 409
371 9.35358e-05 0.0103637 0.69516 72.2744. 940
372 9.20895e-05 0.0103637 0.702738 93.935. 271
373 5.44486e-05 0.0103637 0.700355 96.7835. 658
374 8.01134e-05 0.0103637 0.709106 86.4099. 837
375 0.000126472 0.0103637 0.717211 87.3714. 238
376 9.41776e-05 0.0103637 0.69913 77.0284. 825
377 9.04576e-05 0.0103637 0.68161 74.9314. 905
378 5.60715e-05 0.0103637 0.693052 87.7317. 586
379 5.48228e-05 0.0103637 0.701331 91.005. 426
380 7.2926e-05 0.0103637 0.710403 76.2978. 988
381 7.8762e-05 0.0103637 0.688174 84.0268. 1029
382 6.12664e-05 0.0103637 0.68999 82.958. 723
383 7.71916e-05 0.0103637 0.704695 80.859. 877
384 6.14353e-05 0.0103637 0.72228 78.3619. 827
385 0.000117261 0.0103637 0.697211 87.6379. 627
386 6.42763e-05 0.0103637 0.701242 82.0693. 796
387 5.84661e-05 0.0103637 0.701132 75.4678. 1262
388 3.73013e-05 0.0103637 0.693116 85.7208. 677
389 7.05513e-05 0.0103637 0.722625 78.6163. 860
390 5.73876e-05 0.0103637 0.706571 97.2452. 392
391 7.54649e-05 0.0103637 0.702395 80.0625. 810
392 5.35854e-05 0.0103637 0.706181 85.7072. 755
393 8.22107e-05 0.0103637 0.700251 75.0646. 1089
394 7.8252e-05 0.0103637 0.684139 82.1324. 773
395 8.1221e-05 0.0103637 0.691527 90.3791. 611
396 0.000110163 0.0103637 0.702362 99.9413. 506
397 5.54961e-05 0.0103637 0.709284 72.5502. 882
398 7.37375e-05 0.0103637 0.696269 83.4268. 761
399 8.96068e-05 0.0103637 0.707139 87.4954. 393
400 5.39211e-05 0.0103637 0.696067 83.3203. 762
401 7.70122e-05 0.0103637 0.702879 91.7128. 613

184
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*******************************************************************************
Sat Oct 7 12:11:35 2017
FIT: data read from "20171007_3dFit_all.csv" every ::1 using 1:5
format = x:z
#datapoints = 400
residuals are weighted equally (unit weight)
function used for fitting: f(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 1.08985e+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
After 2 iterations the fit converged.
final sum of squares of residuals : 2.34752e+08
rel. change during last iteration : -6.88157e-06
degrees of freedom (FIT_NDF) : 398
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 768.004
variance of residuals (reduced chisquare) = WSSR/ndf : 589830
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = -168.685 +/- 1.208e+06 (7.161e+05%)
b = 1463.12 +/- 117.2 (8.012%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.945 1.000
*******************************************************************************
Sat Oct 7 12:11:35 2017
FIT: data read from "20171007_3dFit_all.csv" every ::1 using 3:5
format = x:z
#datapoints = 400
residuals are weighted equally (unit weight)
function used for fitting: g(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 1.08907e+09 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.855277
initial set of free parameter values
aa = 1
bb = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 1.32414e+08
rel. change during last iteration : -4.04224e-13
degrees of freedom (FIT_NDF) : 398
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 576.8
variance of residuals (reduced chisquare) = WSSR/ndf : 332699
Final set of parameters Asymptotic Standard Error
======================= ==========================
aa = -10433 +/- 594.9 (5.702%)
bb = 8544.05 +/- 404.8 (4.737%)
correlation matrix of the fit parameters:
aa bb
aa 1.000
bb -0.997 1.000
*******************************************************************************
Sat Oct 7 12:11:35 2017
FIT: data read from "20171007_3dFit_all.csv" every ::1 using 3:4
format = x:z
#datapoints = 400
residuals are weighted equally (unit weight)
function used for fitting: h(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 3.69084e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.855277
initial set of free parameter values
aaa = 1
bbb = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 17055.3
rel. change during last iteration : -3.67716e-12
degrees of freedom (FIT_NDF) : 398
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.54618
variance of residuals (reduced chisquare) = WSSR/ndf : 42.8525
Final set of parameters Asymptotic Standard Error
======================= ==========================
aaa = -335 +/- 6.751 (2.015%)
bbb = 323.487 +/- 4.594 (1.42%)
correlation matrix of the fit parameters:
aaa bbb
aaa 1.000
bbb -0.997 1.000
*******************************************************************************
Sat Oct 7 12:11:35 2017
FIT: data read from "20171007_3dFit_all.csv" every ::1 using 2:4
format = x:z
#datapoints = 400
residuals are weighted equally (unit weight)
function used for fitting: i(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 3.74103e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.707136
initial set of free parameter values
aaaa = 1
bbbb = 1
After 5 iterations the fit converged.
final sum of squares of residuals : 18560.2
rel. change during last iteration : -9.79115e-11
degrees of freedom (FIT_NDF) : 398
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.82888
variance of residuals (reduced chisquare) = WSSR/ndf : 46.6336
Final set of parameters Asymptotic Standard Error
======================= ==========================
aaaa = -7152.05 +/- 151.4 (2.117%)
bbbb = 159.156 +/- 1.378 (0.8657%)
correlation matrix of the fit parameters:
aaaa bbbb
aaaa 1.000
bbbb -0.969 1.000

293
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Iteration 0
WSSR : 1.08985e+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 : 2.34754e+08 delta(WSSR)/WSSR : -3.64251
delta(WSSR) : -8.55093e+08 limit for stopping : 1e-05
lambda : 0.0707107
resultant parameter values
a = -0.547619
b = 1461.27
/
Iteration 2
WSSR : 2.34752e+08 delta(WSSR)/WSSR : -6.88157e-06
delta(WSSR) : -1615.46 limit for stopping : 1e-05
lambda : 0.00707107
resultant parameter values
a = -168.685
b = 1463.12
After 2 iterations the fit converged.
final sum of squares of residuals : 2.34752e+08
rel. change during last iteration : -6.88157e-06
degrees of freedom (FIT_NDF) : 398
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 768.004
variance of residuals (reduced chisquare) = WSSR/ndf : 589830
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = -168.685 +/- 1.208e+06 (7.161e+05%)
b = 1463.12 +/- 117.2 (8.012%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.945 1.000
Iteration 0
WSSR : 1.08907e+09 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.855277
initial set of free parameter values
aa = 1
bb = 1
/
Iteration 1
WSSR : 1.65273e+08 delta(WSSR)/WSSR : -5.58955
delta(WSSR) : -9.238e+08 limit for stopping : 1e-05
lambda : 0.0855277
resultant parameter values
aa = -4523.71
bb = 4525.11
/
Iteration 2
WSSR : 1.32418e+08 delta(WSSR)/WSSR : -0.248112
delta(WSSR) : -3.28546e+07 limit for stopping : 1e-05
lambda : 0.00855277
resultant parameter values
aa = -10366.5
bb = 8498.88
/
Iteration 3
WSSR : 1.32414e+08 delta(WSSR)/WSSR : -3.1361e-05
delta(WSSR) : -4152.64 limit for stopping : 1e-05
lambda : 0.000855277
resultant parameter values
aa = -10433
bb = 8544.05
/
Iteration 4
WSSR : 1.32414e+08 delta(WSSR)/WSSR : -4.04224e-13
delta(WSSR) : -5.3525e-05 limit for stopping : 1e-05
lambda : 8.55277e-05
resultant parameter values
aa = -10433
bb = 8544.05
After 4 iterations the fit converged.
final sum of squares of residuals : 1.32414e+08
rel. change during last iteration : -4.04224e-13
degrees of freedom (FIT_NDF) : 398
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 576.8
variance of residuals (reduced chisquare) = WSSR/ndf : 332699
Final set of parameters Asymptotic Standard Error
======================= ==========================
aa = -10433 +/- 594.9 (5.702%)
bb = 8544.05 +/- 404.8 (4.737%)
correlation matrix of the fit parameters:
aa bb
aa 1.000
bb -0.997 1.000
Iteration 0
WSSR : 3.69084e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.855277
initial set of free parameter values
aaa = 1
bbb = 1
/
Iteration 1
WSSR : 55459.9 delta(WSSR)/WSSR : -65.5497
delta(WSSR) : -3.63538e+06 limit for stopping : 1e-05
lambda : 0.0855277
resultant parameter values
aaa = -133.014
bbb = 186.059
/
Iteration 2
WSSR : 17060.2 delta(WSSR)/WSSR : -2.25084
delta(WSSR) : -38399.7 limit for stopping : 1e-05
lambda : 0.00855277
resultant parameter values
aaa = -332.729
bbb = 321.943
/
Iteration 3
WSSR : 17055.3 delta(WSSR)/WSSR : -0.000284545
delta(WSSR) : -4.85301 limit for stopping : 1e-05
lambda : 0.000855277
resultant parameter values
aaa = -335
bbb = 323.487
/
Iteration 4
WSSR : 17055.3 delta(WSSR)/WSSR : -3.67716e-12
delta(WSSR) : -6.27151e-08 limit for stopping : 1e-05
lambda : 8.55277e-05
resultant parameter values
aaa = -335
bbb = 323.487
After 4 iterations the fit converged.
final sum of squares of residuals : 17055.3
rel. change during last iteration : -3.67716e-12
degrees of freedom (FIT_NDF) : 398
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.54618
variance of residuals (reduced chisquare) = WSSR/ndf : 42.8525
Final set of parameters Asymptotic Standard Error
======================= ==========================
aaa = -335 +/- 6.751 (2.015%)
bbb = 323.487 +/- 4.594 (1.42%)
correlation matrix of the fit parameters:
aaa bbb
aaa 1.000
bbb -0.997 1.000
Iteration 0
WSSR : 3.74103e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.707136
initial set of free parameter values
aaaa = 1
bbbb = 1
/
Iteration 1
WSSR : 121788 delta(WSSR)/WSSR : -29.7175
delta(WSSR) : -3.61924e+06 limit for stopping : 1e-05
lambda : 0.0707136
resultant parameter values
aaaa = -27.1332
bbbb = 96.2398
/
Iteration 2
WSSR : 70731.1 delta(WSSR)/WSSR : -0.721846
delta(WSSR) : -51057 limit for stopping : 1e-05
lambda : 0.00707136
resultant parameter values
aaaa = -2086.72
bbbb = 114.511
/
Iteration 3
WSSR : 18590.2 delta(WSSR)/WSSR : -2.80475
delta(WSSR) : -52140.9 limit for stopping : 1e-05
lambda : 0.000707136
resultant parameter values
aaaa = -7030.47
bbbb = 158.084
/
Iteration 4
WSSR : 18560.2 delta(WSSR)/WSSR : -0.00161956
delta(WSSR) : -30.0593 limit for stopping : 1e-05
lambda : 7.07136e-05
resultant parameter values
aaaa = -7152.02
bbbb = 159.156
/
Iteration 5
WSSR : 18560.2 delta(WSSR)/WSSR : -9.79115e-11
delta(WSSR) : -1.81725e-06 limit for stopping : 1e-05
lambda : 7.07136e-06
resultant parameter values
aaaa = -7152.05
bbbb = 159.156
After 5 iterations the fit converged.
final sum of squares of residuals : 18560.2
rel. change during last iteration : -9.79115e-11
degrees of freedom (FIT_NDF) : 398
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.82888
variance of residuals (reduced chisquare) = WSSR/ndf : 46.6336
Final set of parameters Asymptotic Standard Error
======================= ==========================
aaaa = -7152.05 +/- 151.4 (2.117%)
bbbb = 159.156 +/- 1.378 (0.8657%)
correlation matrix of the fit parameters:
aaaa bbbb
aaaa 1.000
bbbb -0.969 1.000

26
dokumentation/evolution3d/20171007_3dFit_all.gnuplot.script Normal file
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set datafile separator ","
f(x)=a*x+b
fit f(x) "20171007_3dFit_all.csv" every ::1 using 1:5 via a,b
set terminal png
set xlabel 'regularity'
set ylabel 'steps'
set output "20171007_3dFit_all_regularity-vs-steps.png"
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 1:5 title "20170926_3dFit_4x4x4_100times.csv", "20170926_3dFit_5x5x5_100times.csv" every ::1 using 1:5 title "20170926_3dFit_5x5x5_100times.csv", "20171005_3dFit_4x4x5_100times.csv" every ::1 using 1:5 title "20171005_3dFit_4x4x5_100times.csv", "20171005_3dFit_7x4x4_100times.csv" every ::1 using 1:5 title "20171005_3dFit_7x4x4_100times.csv", f(x) title "lin. fit" lc rgb "black"
g(x)=aa*x+bb
fit g(x) "20171007_3dFit_all.csv" every ::1 using 3:5 via aa,bb
set xlabel 'improvement potential'
set ylabel 'steps'
set output "20171007_3dFit_all_improvement-vs-steps.png"
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:5 title "20170926_3dFit_4x4x4_100times.csv", "20170926_3dFit_5x5x5_100times.csv" every ::1 using 3:5 title "20170926_3dFit_5x5x5_100times.csv", "20171005_3dFit_4x4x5_100times.csv" every ::1 using 3:5 title "20171005_3dFit_4x4x5_100times.csv", "20171005_3dFit_7x4x4_100times.csv" every ::1 using 3:5 title "20171005_3dFit_7x4x4_100times.csv", g(x) title "lin. fit" lc rgb "black"
h(x)=aaa*x+bbb
fit h(x) "20171007_3dFit_all.csv" every ::1 using 3:4 via aaa,bbb
set xlabel 'improvement potential'
set ylabel 'evolution error'
set output "20171007_3dFit_all_improvement-vs-evo-error.png"
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:4 title "20170926_3dFit_4x4x4_100times.csv", "20170926_3dFit_5x5x5_100times.csv" every ::1 using 3:4 title "20170926_3dFit_5x5x5_100times.csv", "20171005_3dFit_4x4x5_100times.csv" every ::1 using 3:4 title "20171005_3dFit_4x4x5_100times.csv", "20171005_3dFit_7x4x4_100times.csv" every ::1 using 3:4 title "20171005_3dFit_7x4x4_100times.csv", h(x) title "lin. fit" lc rgb "black"
i(x)=aaaa*x+bbbb
fit i(x) "20171007_3dFit_all.csv" every ::1 using 2:4 via aaaa,bbbb
set xlabel 'variability'
set ylabel 'evolution error'
set output "20171007_3dFit_all_variability-vs-evo-error.png"
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 2:4 title "20170926_3dFit_4x4x4_100times.csv", "20170926_3dFit_5x5x5_100times.csv" every ::1 using 2:4 title "20170926_3dFit_5x5x5_100times.csv", "20171005_3dFit_4x4x5_100times.csv" every ::1 using 2:4 title "20171005_3dFit_4x4x5_100times.csv", "20171005_3dFit_7x4x4_100times.csv" every ::1 using 2:4 title "20171005_3dFit_7x4x4_100times.csv", i(x) title "lin. fit" lc rgb "black"

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32
dokumentation/evolution3d/combine.sh
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@ -13,19 +13,45 @@ set terminal png
set xlabel 'regularity' set xlabel 'regularity'
set ylabel 'steps' set ylabel 'steps'
set output "${png}_regularity-vs-steps.png" set output "${png}_regularity-vs-steps.png"
plot "$2" every ::1 using 1:5 title "$2", "$3" every ::1 using 1:5 title "$3", f(x) title "lin. fit" lc rgb "black" plot \
"$2" every ::1 using 1:5 title "$2", \
"$3" every ::1 using 1:5 title "$3", \
"$4" every ::1 using 1:5 title "$4", \
"$5" every ::1 using 1:5 title "$5", \
f(x) title "lin. fit" lc rgb "black"
g(x)=aa*x+bb g(x)=aa*x+bb
fit g(x) "$data" every ::1 using 3:5 via aa,bb fit g(x) "$data" every ::1 using 3:5 via aa,bb
set xlabel 'improvement potential' set xlabel 'improvement potential'
set ylabel 'steps' set ylabel 'steps'
set output "${png}_improvement-vs-steps.png" set output "${png}_improvement-vs-steps.png"
plot "$2" every ::1 using 3:5 title "$2", "$3" every ::1 using 3:5 title "$3", g(x) title "lin. fit" lc rgb "black" plot \
"$2" every ::1 using 3:5 title "$2", \
"$3" every ::1 using 3:5 title "$3", \
"$4" every ::1 using 3:5 title "$4", \
"$5" every ::1 using 3:5 title "$5", \
g(x) title "lin. fit" lc rgb "black"
h(x)=aaa*x+bbb h(x)=aaa*x+bbb
fit h(x) "$data" every ::1 using 3:4 via aaa,bbb fit h(x) "$data" every ::1 using 3:4 via aaa,bbb
set xlabel 'improvement potential' set xlabel 'improvement potential'
set ylabel 'evolution error' set ylabel 'evolution error'
set output "${png}_improvement-vs-evo-error.png" set output "${png}_improvement-vs-evo-error.png"
plot "$2" every ::1 using 3:4 title "$2", "$3" every ::1 using 3:4 title "$3", h(x) title "lin. fit" lc rgb "black" plot \
"$2" every ::1 using 3:4 title "$2", \
"$3" every ::1 using 3:4 title "$3", \
"$4" every ::1 using 3:4 title "$4", \
"$5" every ::1 using 3:4 title "$5", \
h(x) title "lin. fit" lc rgb "black"
i(x)=aaaa*x+bbbb
fit i(x) "$data" every ::1 using 2:4 via aaaa,bbbb
set xlabel 'variability'
set ylabel 'evolution error'
set output "${png}_variability-vs-evo-error.png"
plot \
"$2" every ::1 using 2:4 title "$2", \
"$3" every ::1 using 2:4 title "$3", \
"$4" every ::1 using 2:4 title "$4", \
"$5" every ::1 using 2:4 title "$5", \
i(x) title "lin. fit" lc rgb "black"
EOD EOD
) > "${png}.gnuplot.script" ) > "${png}.gnuplot.script"
gnuplot "${png}.gnuplot.script" 2> "${png}.gnuplot.log" gnuplot "${png}.gnuplot.script" 2> "${png}.gnuplot.log"