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This commit is contained in:
Nicole Dresselhaus 2017-10-16 22:45:06 +02:00
parent 6a97360ab2
commit 8c4f776ea5
Signed by: Drezil
GPG Key ID: 057D94F356F41E25
21 changed files with 1932 additions and 16 deletions
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101
dokumentation/evolution3d/20171013_3dFit_4x4x7_100times.csv Normal file
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regularity,variability,improvement,"Evolution error",steps
7.33021e-05,0.0103637,0.695354,85.1149.,1998
9.86305e-05,0.0103637,0.696996,82.2095.,2127
9.13367e-05,0.0103637,0.699654,93.8283.,1339
5.75201e-05,0.0103637,0.685872,99.4121.,1936
8.29441e-05,0.0103637,0.689831,84.7928.,1570
8.37538e-05,0.0103637,0.687731,89.4784.,1535
7.72656e-05,0.0103637,0.692668,98.0445.,1478
5.69885e-05,0.0103637,0.686888,82.4413.,2455
7.94244e-05,0.0103637,0.690775,95.9898.,1700
9.02474e-05,0.0103637,0.702276,82.9514.,1923
7.38352e-05,0.0103637,0.679235,95.6417.,1518
0.000106945,0.0103637,0.68402,97.597.,1496
7.83009e-05,0.0103637,0.693436,92.8455.,2190
4.40066e-05,0.0103637,0.683834,87.554.,2604
0.000109585,0.0103637,0.689338,88.0962.,1754
8.75302e-05,0.0103637,0.6934,92.764.,1940
6.00375e-05,0.0103637,0.700927,92.6177.,1908
6.18399e-05,0.0103637,0.683082,91.9667.,1509
0.000116728,0.0103637,0.700828,82.2732.,1821
9.10256e-05,0.0103637,0.692394,94.741.,1626
8.72593e-05,0.0103637,0.685888,87.4631.,1578
8.07573e-05,0.0103637,0.686368,99.0457.,1287
5.47625e-05,0.0103637,0.70257,83.0585.,3707
9.642e-05,0.0103637,0.690792,87.7612.,1962
5.6002e-05,0.0103637,0.697936,92.4952.,2188
9.19145e-05,0.0103637,0.696617,87.4672.,1709
9.30803e-05,0.0103637,0.69225,85.5196.,1738
5.5693e-05,0.0103637,0.70504,96.1244.,1800
5.53709e-05,0.0103637,0.688722,80.3879.,2687
0.000103781,0.0103637,0.702795,88.557.,1964
9.48859e-05,0.0103637,0.707829,80.9192.,1809
5.9123e-05,0.0103637,0.692679,88.0159.,2308
0.000104426,0.0103637,0.687809,92.5849.,1592
7.17017e-05,0.0103637,0.688038,95.6485.,1590
9.04185e-05,0.0103637,0.696046,82.6378.,2400
8.52955e-05,0.0103637,0.68677,86.2912.,1972
6.0231e-05,0.0103637,0.692419,87.6295.,2138
6.19528e-05,0.0103637,0.677021,93.7818.,2474
4.86728e-05,0.0103637,0.695779,81.2872.,1966
0.000112679,0.0103637,0.683283,92.884.,1525
3.35026e-05,0.0103637,0.693536,85.1577.,2834
0.000111562,0.0103637,0.701278,82.4601.,1494
5.60467e-05,0.0103637,0.693734,88.7562.,2850
8.91618e-05,0.0103637,0.695836,85.7044.,1825
5.86723e-05,0.0103637,0.695234,90.0389.,1775
0.000124082,0.0103637,0.693874,90.6256.,1832
7.59202e-05,0.0103637,0.695028,86.5225.,1412
9.78369e-05,0.0103637,0.691068,93.0686.,1522
0.000133166,0.0103637,0.70704,86.9607.,2158
6.94058e-05,0.0103637,0.687931,91.6042.,2246
6.23195e-05,0.0103637,0.686537,100.349.,1409
5.2505e-05,0.0103637,0.695303,78.4994.,3239
0.000118392,0.0103637,0.689132,89.8504.,1612
9.63249e-05,0.0103637,0.687783,83.6403.,2080
5.99358e-05,0.0103637,0.690797,101.654.,1713
7.13858e-05,0.0103637,0.696033,99.3329.,1566
8.29146e-05,0.0103637,0.694109,92.788.,1932
6.941e-05,0.0103637,0.689276,83.6513.,2264
7.01229e-05,0.0103637,0.685375,85.7803.,2056
6.00461e-05,0.0103637,0.694496,83.9198.,2334
7.17098e-05,0.0103637,0.691257,97.1194.,1678
5.56866e-05,0.0103637,0.693604,86.66.,3172
8.57536e-05,0.0103637,0.696875,95.519.,1736
5.44961e-05,0.0103637,0.705914,94.3315.,2152
0.00010223,0.0103637,0.696688,89.9138.,1796
8.7968e-05,0.0103637,0.70126,89.7127.,1584
5.85877e-05,0.0103637,0.685943,88.7631.,2666
8.37385e-05,0.0103637,0.687253,86.5084.,1413
6.09753e-05,0.0103637,0.684085,93.2268.,2400
6.68336e-05,0.0103637,0.695989,86.4354.,2138
7.2593e-05,0.0103637,0.687196,91.7037.,1767
7.43132e-05,0.0103637,0.68878,89.9394.,1454
6.50205e-05,0.0103637,0.694766,82.762.,2376
6.27443e-05,0.0103637,0.689244,81.379.,2775
9.78857e-05,0.0103637,0.6923,80.2224.,2365
5.53248e-05,0.0103637,0.690217,79.8926.,3130
8.19988e-05,0.0103637,0.680978,95.5281.,1393
8.39435e-05,0.0103637,0.696348,87.6941.,1657
7.80363e-05,0.0103637,0.688069,101.649.,1615
0.000108058,0.0103637,0.703279,85.3415.,2047
8.591e-05,0.0103637,0.70373,86.2938.,2134
0.000100807,0.0103637,0.688379,101.265.,1184
6.81251e-05,0.0103637,0.690025,84.5136.,1942
0.000100306,0.0103637,0.694876,90.5252.,1811
7.43149e-05,0.0103637,0.681349,90.4494.,2383
6.54223e-05,0.0103637,0.691461,94.5348.,1662
4.00803e-05,0.0103637,0.697672,77.2599.,2960
7.43768e-05,0.0103637,0.686236,89.5657.,2487
0.000116654,0.0103637,0.703829,78.0427.,2381
4.85051e-05,0.0103637,0.685997,91.3327.,2003
5.55332e-05,0.0103637,0.691656,116.609.,1170
6.60943e-05,0.0103637,0.693062,83.6798.,1744
5.83277e-05,0.0103637,0.692641,89.0655.,2169
9.19515e-05,0.0103637,0.696555,82.225.,2525
8.81229e-05,0.0103637,0.68317,90.5327.,2012
5.85726e-05,0.0103637,0.692007,78.9694.,2646
9.00751e-05,0.0103637,0.696617,83.061.,2168
9.74536e-05,0.0103637,0.701995,97.7498.,1565
8.15851e-05,0.0103637,0.693622,87.9928.,1602
0.000105786,0.0103637,0.702003,83.4737.,1711
1 regularity variability improvement Evolution error steps
2 7.33021e-05 0.0103637 0.695354 85.1149. 1998
3 9.86305e-05 0.0103637 0.696996 82.2095. 2127
4 9.13367e-05 0.0103637 0.699654 93.8283. 1339
5 5.75201e-05 0.0103637 0.685872 99.4121. 1936
6 8.29441e-05 0.0103637 0.689831 84.7928. 1570
7 8.37538e-05 0.0103637 0.687731 89.4784. 1535
8 7.72656e-05 0.0103637 0.692668 98.0445. 1478
9 5.69885e-05 0.0103637 0.686888 82.4413. 2455
10 7.94244e-05 0.0103637 0.690775 95.9898. 1700
11 9.02474e-05 0.0103637 0.702276 82.9514. 1923
12 7.38352e-05 0.0103637 0.679235 95.6417. 1518
13 0.000106945 0.0103637 0.68402 97.597. 1496
14 7.83009e-05 0.0103637 0.693436 92.8455. 2190
15 4.40066e-05 0.0103637 0.683834 87.554. 2604
16 0.000109585 0.0103637 0.689338 88.0962. 1754
17 8.75302e-05 0.0103637 0.6934 92.764. 1940
18 6.00375e-05 0.0103637 0.700927 92.6177. 1908
19 6.18399e-05 0.0103637 0.683082 91.9667. 1509
20 0.000116728 0.0103637 0.700828 82.2732. 1821
21 9.10256e-05 0.0103637 0.692394 94.741. 1626
22 8.72593e-05 0.0103637 0.685888 87.4631. 1578
23 8.07573e-05 0.0103637 0.686368 99.0457. 1287
24 5.47625e-05 0.0103637 0.70257 83.0585. 3707
25 9.642e-05 0.0103637 0.690792 87.7612. 1962
26 5.6002e-05 0.0103637 0.697936 92.4952. 2188
27 9.19145e-05 0.0103637 0.696617 87.4672. 1709
28 9.30803e-05 0.0103637 0.69225 85.5196. 1738
29 5.5693e-05 0.0103637 0.70504 96.1244. 1800
30 5.53709e-05 0.0103637 0.688722 80.3879. 2687
31 0.000103781 0.0103637 0.702795 88.557. 1964
32 9.48859e-05 0.0103637 0.707829 80.9192. 1809
33 5.9123e-05 0.0103637 0.692679 88.0159. 2308
34 0.000104426 0.0103637 0.687809 92.5849. 1592
35 7.17017e-05 0.0103637 0.688038 95.6485. 1590
36 9.04185e-05 0.0103637 0.696046 82.6378. 2400
37 8.52955e-05 0.0103637 0.68677 86.2912. 1972
38 6.0231e-05 0.0103637 0.692419 87.6295. 2138
39 6.19528e-05 0.0103637 0.677021 93.7818. 2474
40 4.86728e-05 0.0103637 0.695779 81.2872. 1966
41 0.000112679 0.0103637 0.683283 92.884. 1525
42 3.35026e-05 0.0103637 0.693536 85.1577. 2834
43 0.000111562 0.0103637 0.701278 82.4601. 1494
44 5.60467e-05 0.0103637 0.693734 88.7562. 2850
45 8.91618e-05 0.0103637 0.695836 85.7044. 1825
46 5.86723e-05 0.0103637 0.695234 90.0389. 1775
47 0.000124082 0.0103637 0.693874 90.6256. 1832
48 7.59202e-05 0.0103637 0.695028 86.5225. 1412
49 9.78369e-05 0.0103637 0.691068 93.0686. 1522
50 0.000133166 0.0103637 0.70704 86.9607. 2158
51 6.94058e-05 0.0103637 0.687931 91.6042. 2246
52 6.23195e-05 0.0103637 0.686537 100.349. 1409
53 5.2505e-05 0.0103637 0.695303 78.4994. 3239
54 0.000118392 0.0103637 0.689132 89.8504. 1612
55 9.63249e-05 0.0103637 0.687783 83.6403. 2080
56 5.99358e-05 0.0103637 0.690797 101.654. 1713
57 7.13858e-05 0.0103637 0.696033 99.3329. 1566
58 8.29146e-05 0.0103637 0.694109 92.788. 1932
59 6.941e-05 0.0103637 0.689276 83.6513. 2264
60 7.01229e-05 0.0103637 0.685375 85.7803. 2056
61 6.00461e-05 0.0103637 0.694496 83.9198. 2334
62 7.17098e-05 0.0103637 0.691257 97.1194. 1678
63 5.56866e-05 0.0103637 0.693604 86.66. 3172
64 8.57536e-05 0.0103637 0.696875 95.519. 1736
65 5.44961e-05 0.0103637 0.705914 94.3315. 2152
66 0.00010223 0.0103637 0.696688 89.9138. 1796
67 8.7968e-05 0.0103637 0.70126 89.7127. 1584
68 5.85877e-05 0.0103637 0.685943 88.7631. 2666
69 8.37385e-05 0.0103637 0.687253 86.5084. 1413
70 6.09753e-05 0.0103637 0.684085 93.2268. 2400
71 6.68336e-05 0.0103637 0.695989 86.4354. 2138
72 7.2593e-05 0.0103637 0.687196 91.7037. 1767
73 7.43132e-05 0.0103637 0.68878 89.9394. 1454
74 6.50205e-05 0.0103637 0.694766 82.762. 2376
75 6.27443e-05 0.0103637 0.689244 81.379. 2775
76 9.78857e-05 0.0103637 0.6923 80.2224. 2365
77 5.53248e-05 0.0103637 0.690217 79.8926. 3130
78 8.19988e-05 0.0103637 0.680978 95.5281. 1393
79 8.39435e-05 0.0103637 0.696348 87.6941. 1657
80 7.80363e-05 0.0103637 0.688069 101.649. 1615
81 0.000108058 0.0103637 0.703279 85.3415. 2047
82 8.591e-05 0.0103637 0.70373 86.2938. 2134
83 0.000100807 0.0103637 0.688379 101.265. 1184
84 6.81251e-05 0.0103637 0.690025 84.5136. 1942
85 0.000100306 0.0103637 0.694876 90.5252. 1811
86 7.43149e-05 0.0103637 0.681349 90.4494. 2383
87 6.54223e-05 0.0103637 0.691461 94.5348. 1662
88 4.00803e-05 0.0103637 0.697672 77.2599. 2960
89 7.43768e-05 0.0103637 0.686236 89.5657. 2487
90 0.000116654 0.0103637 0.703829 78.0427. 2381
91 4.85051e-05 0.0103637 0.685997 91.3327. 2003
92 5.55332e-05 0.0103637 0.691656 116.609. 1170
93 6.60943e-05 0.0103637 0.693062 83.6798. 1744
94 5.83277e-05 0.0103637 0.692641 89.0655. 2169
95 9.19515e-05 0.0103637 0.696555 82.225. 2525
96 8.81229e-05 0.0103637 0.68317 90.5327. 2012
97 5.85726e-05 0.0103637 0.692007 78.9694. 2646
98 9.00751e-05 0.0103637 0.696617 83.061. 2168
99 9.74536e-05 0.0103637 0.701995 97.7498. 1565
100 8.15851e-05 0.0103637 0.693622 87.9928. 1602
101 0.000105786 0.0103637 0.702003 83.4737. 1711

101
dokumentation/evolution3d/20171013_3dFit_5x4x4_100times.csv Normal file
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regularity,variability,improvement,"Evolution error",steps
0.00013051,0.00740261,0.673824,91.4882.,1062
0.000159037,0.00740261,0.666191,95.001.,1290
0.000109945,0.00740261,0.685209,97.72.,1059
0.000120805,0.00740261,0.688032,99.0429.,882
0.000140221,0.00740261,0.675152,102.273.,1178
0.000134368,0.00740261,0.661202,98.0028.,719
0.000117293,0.00740261,0.660647,101.929.,1039
9.7644e-05,0.00740261,0.667314,103.969.,1151
0.000106383,0.00740261,0.662442,92.5069.,829
0.000155402,0.00740261,0.654566,118.88.,500
0.000113231,0.00740261,0.656068,96.2138.,1209
0.000130038,0.00740261,0.664787,100.164.,1132
0.000136999,0.00740261,0.664672,95.9282.,953
0.000132682,0.00740261,0.661782,96.3737.,863
0.000137845,0.00740261,0.68534,107.927.,456
0.000145459,0.00740261,0.68091,98.0377.,655
0.000102442,0.00740261,0.661866,94.9011.,1197
0.00010359,0.00740261,0.669868,102.223.,1144
0.000129823,0.00740261,0.677934,126.177.,487
0.000132429,0.00740261,0.679809,101.879.,614
0.000115304,0.00740261,0.669119,90.0009.,1160
0.0001255,0.00740261,0.654297,101.026.,628
0.000158057,0.00740261,0.664945,94.5618.,766
0.000154108,0.00740261,0.671599,99.2481.,556
0.000144671,0.00740261,0.671715,94.1741.,941
0.000149935,0.00740261,0.664314,102.894.,593
0.000120403,0.00740261,0.661916,103.993.,856
0.000122521,0.00740261,0.688557,96.549.,1544
0.000176649,0.00740261,0.673862,90.1281.,1182
0.000148777,0.00740261,0.685072,104.444.,649
0.000101352,0.00740261,0.673358,104.542.,1051
0.000117799,0.00740261,0.656687,107.051.,525
0.000119537,0.00740261,0.674016,102.128.,790
0.000139523,0.00740261,0.674215,105.315.,537
0.000136167,0.00740261,0.661759,104.097.,714
0.000190288,0.00740261,0.67647,96.8133.,536
0.000122321,0.00740261,0.667716,99.8496.,997
0.000152454,0.00740261,0.673331,103.385.,653
0.000136288,0.00740261,0.662476,108.874.,435
0.000135477,0.00740261,0.658957,112.975.,489
0.000118528,0.00740261,0.652968,113.068.,656
0.000158042,0.00740261,0.669166,99.4226.,762
8.34426e-05,0.00740261,0.669917,115.742.,473
0.000103695,0.00740261,0.668814,94.4964.,919
0.000111848,0.00740261,0.668306,103.45.,694
0.000145773,0.00740261,0.671588,116.123.,468
0.000121232,0.00740261,0.664407,98.1676.,742
0.000141766,0.00740261,0.659441,105.069.,817
0.000132584,0.00740261,0.680023,108.953.,641
0.000107048,0.00740261,0.687908,91.997.,1336
0.000144664,0.00740261,0.668632,95.3832.,1796
0.000162707,0.00740261,0.67518,87.7666.,1475
0.000152531,0.00740261,0.673962,97.0353.,1021
0.000142111,0.00740261,0.678162,99.1089.,971
0.000122117,0.00740261,0.673304,95.5062.,909
0.000119921,0.00740261,0.650853,130.854.,465
7.23937e-05,0.00740261,0.649618,101.333.,1045
0.000139668,0.00740261,0.671239,96.735.,701
0.00012961,0.00740261,0.671942,98.5471.,935
0.000126957,0.00740261,0.664651,107.22.,929
0.000157769,0.00740261,0.660679,97.6237.,917
0.000152029,0.00740261,0.662968,105.503.,909
9.66919e-05,0.00740261,0.65868,110.648.,599
0.000152119,0.00740261,0.675902,95.6589.,779
0.0001074,0.00740261,0.665579,98.2938.,755
0.000117728,0.00740261,0.662558,103.401.,714
0.000111497,0.00740261,0.661687,110.527.,530
0.000110637,0.00740261,0.666203,96.7363.,1023
0.00013237,0.00740261,0.666233,95.9747.,706
0.000125735,0.00740261,0.689224,93.9381.,866
0.000133393,0.00740261,0.657839,101.823.,732
0.000144244,0.00740261,0.663091,115.05.,1226
0.000124349,0.00740261,0.668097,101.306.,1122
0.000142602,0.00740261,0.656584,102.493.,631
0.000118057,0.00740261,0.662982,94.8579.,875
0.000142745,0.00740261,0.67665,108.05.,644
0.000165048,0.00740261,0.662857,101.873.,709
0.000129561,0.00740261,0.657732,113.606.,609
0.000128823,0.00740261,0.668196,97.6295.,754
0.000137056,0.00740261,0.682813,94.5646.,1630
0.000134364,0.00740261,0.661282,89.2764.,977
0.000111668,0.00740261,0.671422,97.445.,885
0.000143655,0.00740261,0.656792,101.923.,767
0.000101243,0.00740261,0.668738,103.308.,702
0.000126643,0.00740261,0.6921,92.9774.,1952
0.00016266,0.00740261,0.677012,95.1595.,1241
0.000124782,0.00740261,0.669869,101.54.,874
0.000111837,0.00740261,0.658483,106.698.,735
0.000170519,0.00740261,0.667606,108.192.,865
0.000141366,0.00740261,0.657861,101.598.,676
0.00014135,0.00740261,0.669907,102.393.,669
0.000123703,0.00740261,0.652962,105.018.,689
0.000132077,0.00740261,0.66298,94.0851.,991
0.000116146,0.00740261,0.669464,97.1255.,1215
0.000149136,0.00740261,0.672497,100.425.,740
0.000125424,0.00740261,0.67969,100.988.,820
9.2974e-05,0.00740261,0.682842,100.096.,858
0.00010642,0.00740261,0.667256,95.9289.,859
0.000126849,0.00740261,0.674574,89.3173.,1455
0.000160011,0.00740261,0.652659,103.315.,462
1 regularity variability improvement Evolution error steps
2 0.00013051 0.00740261 0.673824 91.4882. 1062
3 0.000159037 0.00740261 0.666191 95.001. 1290
4 0.000109945 0.00740261 0.685209 97.72. 1059
5 0.000120805 0.00740261 0.688032 99.0429. 882
6 0.000140221 0.00740261 0.675152 102.273. 1178
7 0.000134368 0.00740261 0.661202 98.0028. 719
8 0.000117293 0.00740261 0.660647 101.929. 1039
9 9.7644e-05 0.00740261 0.667314 103.969. 1151
10 0.000106383 0.00740261 0.662442 92.5069. 829
11 0.000155402 0.00740261 0.654566 118.88. 500
12 0.000113231 0.00740261 0.656068 96.2138. 1209
13 0.000130038 0.00740261 0.664787 100.164. 1132
14 0.000136999 0.00740261 0.664672 95.9282. 953
15 0.000132682 0.00740261 0.661782 96.3737. 863
16 0.000137845 0.00740261 0.68534 107.927. 456
17 0.000145459 0.00740261 0.68091 98.0377. 655
18 0.000102442 0.00740261 0.661866 94.9011. 1197
19 0.00010359 0.00740261 0.669868 102.223. 1144
20 0.000129823 0.00740261 0.677934 126.177. 487
21 0.000132429 0.00740261 0.679809 101.879. 614
22 0.000115304 0.00740261 0.669119 90.0009. 1160
23 0.0001255 0.00740261 0.654297 101.026. 628
24 0.000158057 0.00740261 0.664945 94.5618. 766
25 0.000154108 0.00740261 0.671599 99.2481. 556
26 0.000144671 0.00740261 0.671715 94.1741. 941
27 0.000149935 0.00740261 0.664314 102.894. 593
28 0.000120403 0.00740261 0.661916 103.993. 856
29 0.000122521 0.00740261 0.688557 96.549. 1544
30 0.000176649 0.00740261 0.673862 90.1281. 1182
31 0.000148777 0.00740261 0.685072 104.444. 649
32 0.000101352 0.00740261 0.673358 104.542. 1051
33 0.000117799 0.00740261 0.656687 107.051. 525
34 0.000119537 0.00740261 0.674016 102.128. 790
35 0.000139523 0.00740261 0.674215 105.315. 537
36 0.000136167 0.00740261 0.661759 104.097. 714
37 0.000190288 0.00740261 0.67647 96.8133. 536
38 0.000122321 0.00740261 0.667716 99.8496. 997
39 0.000152454 0.00740261 0.673331 103.385. 653
40 0.000136288 0.00740261 0.662476 108.874. 435
41 0.000135477 0.00740261 0.658957 112.975. 489
42 0.000118528 0.00740261 0.652968 113.068. 656
43 0.000158042 0.00740261 0.669166 99.4226. 762
44 8.34426e-05 0.00740261 0.669917 115.742. 473
45 0.000103695 0.00740261 0.668814 94.4964. 919
46 0.000111848 0.00740261 0.668306 103.45. 694
47 0.000145773 0.00740261 0.671588 116.123. 468
48 0.000121232 0.00740261 0.664407 98.1676. 742
49 0.000141766 0.00740261 0.659441 105.069. 817
50 0.000132584 0.00740261 0.680023 108.953. 641
51 0.000107048 0.00740261 0.687908 91.997. 1336
52 0.000144664 0.00740261 0.668632 95.3832. 1796
53 0.000162707 0.00740261 0.67518 87.7666. 1475
54 0.000152531 0.00740261 0.673962 97.0353. 1021
55 0.000142111 0.00740261 0.678162 99.1089. 971
56 0.000122117 0.00740261 0.673304 95.5062. 909
57 0.000119921 0.00740261 0.650853 130.854. 465
58 7.23937e-05 0.00740261 0.649618 101.333. 1045
59 0.000139668 0.00740261 0.671239 96.735. 701
60 0.00012961 0.00740261 0.671942 98.5471. 935
61 0.000126957 0.00740261 0.664651 107.22. 929
62 0.000157769 0.00740261 0.660679 97.6237. 917
63 0.000152029 0.00740261 0.662968 105.503. 909
64 9.66919e-05 0.00740261 0.65868 110.648. 599
65 0.000152119 0.00740261 0.675902 95.6589. 779
66 0.0001074 0.00740261 0.665579 98.2938. 755
67 0.000117728 0.00740261 0.662558 103.401. 714
68 0.000111497 0.00740261 0.661687 110.527. 530
69 0.000110637 0.00740261 0.666203 96.7363. 1023
70 0.00013237 0.00740261 0.666233 95.9747. 706
71 0.000125735 0.00740261 0.689224 93.9381. 866
72 0.000133393 0.00740261 0.657839 101.823. 732
73 0.000144244 0.00740261 0.663091 115.05. 1226
74 0.000124349 0.00740261 0.668097 101.306. 1122
75 0.000142602 0.00740261 0.656584 102.493. 631
76 0.000118057 0.00740261 0.662982 94.8579. 875
77 0.000142745 0.00740261 0.67665 108.05. 644
78 0.000165048 0.00740261 0.662857 101.873. 709
79 0.000129561 0.00740261 0.657732 113.606. 609
80 0.000128823 0.00740261 0.668196 97.6295. 754
81 0.000137056 0.00740261 0.682813 94.5646. 1630
82 0.000134364 0.00740261 0.661282 89.2764. 977
83 0.000111668 0.00740261 0.671422 97.445. 885
84 0.000143655 0.00740261 0.656792 101.923. 767
85 0.000101243 0.00740261 0.668738 103.308. 702
86 0.000126643 0.00740261 0.6921 92.9774. 1952
87 0.00016266 0.00740261 0.677012 95.1595. 1241
88 0.000124782 0.00740261 0.669869 101.54. 874
89 0.000111837 0.00740261 0.658483 106.698. 735
90 0.000170519 0.00740261 0.667606 108.192. 865
91 0.000141366 0.00740261 0.657861 101.598. 676
92 0.00014135 0.00740261 0.669907 102.393. 669
93 0.000123703 0.00740261 0.652962 105.018. 689
94 0.000132077 0.00740261 0.66298 94.0851. 991
95 0.000116146 0.00740261 0.669464 97.1255. 1215
96 0.000149136 0.00740261 0.672497 100.425. 740
97 0.000125424 0.00740261 0.67969 100.988. 820
98 9.2974e-05 0.00740261 0.682842 100.096. 858
99 0.00010642 0.00740261 0.667256 95.9289. 859
100 0.000126849 0.00740261 0.674574 89.3173. 1455
101 0.000160011 0.00740261 0.652659 103.315. 462

301
dokumentation/evolution3d/4x4xX.csv Normal file
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@ -0,0 +1,301 @@
regularity,variability,improvement,"Evolution error",steps
6.57581e-05,0.00592209,0.622392,113.016.,2368
5.16451e-05,0.00592209,0.610293,118.796.,2433
6.45083e-05,0.00592209,0.592139,127.157.,1655
7.14801e-05,0.00592209,0.624039,121.613.,1933
5.62707e-05,0.00592209,0.611091,119.539.,2618
5.55953e-05,0.00592209,0.625812,119.512.,2505
5.96026e-05,0.00592209,0.622873,118.285.,1582
6.63676e-05,0.00592209,0.602386,126.579.,2214
5.93125e-05,0.00592209,0.608913,122.512.,2262
6.05066e-05,0.00592209,0.621467,118.473.,2465
6.42976e-05,0.00592209,0.602593,121.998.,2127
5.32868e-05,0.00592209,0.616501,115.313.,2746
5.47856e-05,0.00592209,0.615173,118.034.,2148
6.47209e-05,0.00592209,0.603935,120.003.,2304
7.07812e-05,0.00592209,0.620422,123.494.,1941
6.49313e-05,0.00592209,0.616232,122.989.,2214
6.64295e-05,0.00592209,0.605206,123.757.,1675
5.88806e-05,0.00592209,0.628055,110.67.,2230
7.56461e-05,0.00592209,0.625361,121.232.,2187
4.932e-05,0.00592209,0.612261,120.979.,2280
5.45998e-05,0.00592209,0.61935,115.394.,2380
6.10654e-05,0.00592209,0.614029,116.928.,2327
6.09488e-05,0.00592209,0.611892,125.294.,1609
5.85691e-05,0.00592209,0.632686,111.635.,2831
6.87292e-05,0.00592209,0.61519,114.681.,2565
6.53377e-05,0.00592209,0.627408,111.935.,2596
6.98345e-05,0.00592209,0.616158,111.392.,2417
7.90547e-05,0.00592209,0.620575,115.346.,2031
6.50231e-05,0.00592209,0.625725,119.055.,1842
6.76541e-05,0.00592209,0.625399,117.452.,1452
5.72222e-05,0.00592209,0.614171,123.379.,2186
7.42483e-05,0.00592209,0.624683,115.053.,2236
6.9354e-05,0.00592209,0.619596,123.994.,1688
5.75478e-05,0.00592209,0.605051,118.576.,1930
6.01309e-05,0.00592209,0.617511,116.894.,2184
6.69251e-05,0.00592209,0.608408,120.129.,2007
4.66926e-05,0.00592209,0.60606,126.708.,1552
4.90102e-05,0.00592209,0.618673,114.595.,2783
5.51505e-05,0.00592209,0.619245,120.056.,2463
6.1007e-05,0.00592209,0.605215,122.057.,1493
5.04717e-05,0.00592209,0.623503,116.846.,2620
6.3578e-05,0.00592209,0.625261,124.35.,2193
5.8875e-05,0.00592209,0.624526,118.43.,2502
7.95299e-05,0.00592209,0.611719,116.574.,1849
6.42733e-05,0.00592209,0.608178,128.474.,2078
6.41674e-05,0.00592209,0.624042,111.111.,2037
4.88661e-05,0.00592209,0.615408,120.004.,2627
7.27714e-05,0.00592209,0.626926,119.866.,2128
4.84641e-05,0.00592209,0.608054,119.676.,2408
6.66562e-05,0.00592209,0.603902,128.957.,1668
5.99872e-05,0.00592209,0.63676,108.467.,3448
7.73127e-05,0.00592209,0.62232,123.353.,1551
6.67597e-05,0.00592209,0.621411,123.301.,2180
5.2819e-05,0.00592209,0.617515,114.838.,4096
5.29257e-05,0.00592209,0.622611,118.611.,1973
5.35212e-05,0.00592209,0.62533,109.616.,3424
7.1947e-05,0.00592209,0.632331,113.565.,2905
5.04311e-05,0.00592209,0.611559,120.01.,2147
6.57161e-05,0.00592209,0.617789,125.441.,1820
5.18695e-05,0.00592209,0.610402,122.541.,2430
6.47262e-05,0.00592209,0.609141,123.169.,1989
5.87925e-05,0.00592209,0.61627,117.344.,2143
4.36904e-05,0.00592209,0.631954,112.674.,3526
6.45195e-05,0.00592209,0.614402,118.787.,1765
5.8354e-05,0.00592209,0.615515,112.061.,2368
7.14669e-05,0.00592209,0.628382,110.262.,1923
7.24908e-05,0.00592209,0.610848,116.504.,1830
5.98617e-05,0.00592209,0.622949,109.607.,3609
5.90411e-05,0.00592209,0.629175,122.198.,1859
5.25569e-05,0.00592209,0.621253,124.527.,1876
5.86979e-05,0.00592209,0.612603,120.886.,2916
4.73113e-05,0.00592209,0.610586,119.176.,2072
5.8777e-05,0.00592209,0.62863,121.081.,2338
5.6608e-05,0.00592209,0.617215,121.038.,3021
5.74614e-05,0.00592209,0.626088,112.392.,2182
6.86466e-05,0.00592209,0.631893,121.148.,2246
4.77969e-05,0.00592209,0.635218,117.053.,2939
5.50553e-05,0.00592209,0.610707,123.651.,1417
6.89628e-05,0.00592209,0.638474,128.446.,1840
6.85622e-05,0.00592209,0.620769,115.527.,2116
5.28017e-05,0.00592209,0.614948,121.456.,2178
7.06916e-05,0.00592209,0.61804,127.418.,2354
6.81788e-05,0.00592209,0.616056,113.541.,2768
7.89711e-05,0.00592209,0.615108,116.805.,2293
5.84297e-05,0.00592209,0.612733,123.244.,2206
5.53374e-05,0.00592209,0.605062,123.095.,1902
5.51739e-05,0.00592209,0.631543,115.9.,3145
6.9413e-05,0.00592209,0.59103,124.024.,1475
5.08739e-05,0.00592209,0.621454,114.685.,3356
5.95256e-05,0.00592209,0.626188,113.428.,2336
5.63659e-05,0.00592209,0.618554,117.456.,2105
6.32019e-05,0.00592209,0.616926,122.15.,1799
6.05333e-05,0.00592209,0.613481,124.576.,1873
5.35997e-05,0.00592209,0.621122,113.63.,2834
5.94187e-05,0.00592209,0.606925,126.608.,1970
6.52182e-05,0.00592209,0.610882,129.916.,1246
6.78626e-05,0.00592209,0.608581,119.673.,2155
5.12495e-05,0.00592209,0.6262,116.233.,3037
6.7083e-05,0.00592209,0.608299,125.086.,1595
6.74099e-05,0.00592209,0.620429,112.897.,2800
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
7.33021e-05,0.0103637,0.695354,85.1149.,1998
9.86305e-05,0.0103637,0.696996,82.2095.,2127
9.13367e-05,0.0103637,0.699654,93.8283.,1339
5.75201e-05,0.0103637,0.685872,99.4121.,1936
8.29441e-05,0.0103637,0.689831,84.7928.,1570
8.37538e-05,0.0103637,0.687731,89.4784.,1535
7.72656e-05,0.0103637,0.692668,98.0445.,1478
5.69885e-05,0.0103637,0.686888,82.4413.,2455
7.94244e-05,0.0103637,0.690775,95.9898.,1700
9.02474e-05,0.0103637,0.702276,82.9514.,1923
7.38352e-05,0.0103637,0.679235,95.6417.,1518
0.000106945,0.0103637,0.68402,97.597.,1496
7.83009e-05,0.0103637,0.693436,92.8455.,2190
4.40066e-05,0.0103637,0.683834,87.554.,2604
0.000109585,0.0103637,0.689338,88.0962.,1754
8.75302e-05,0.0103637,0.6934,92.764.,1940
6.00375e-05,0.0103637,0.700927,92.6177.,1908
6.18399e-05,0.0103637,0.683082,91.9667.,1509
0.000116728,0.0103637,0.700828,82.2732.,1821
9.10256e-05,0.0103637,0.692394,94.741.,1626
8.72593e-05,0.0103637,0.685888,87.4631.,1578
8.07573e-05,0.0103637,0.686368,99.0457.,1287
5.47625e-05,0.0103637,0.70257,83.0585.,3707
9.642e-05,0.0103637,0.690792,87.7612.,1962
5.6002e-05,0.0103637,0.697936,92.4952.,2188
9.19145e-05,0.0103637,0.696617,87.4672.,1709
9.30803e-05,0.0103637,0.69225,85.5196.,1738
5.5693e-05,0.0103637,0.70504,96.1244.,1800
5.53709e-05,0.0103637,0.688722,80.3879.,2687
0.000103781,0.0103637,0.702795,88.557.,1964
9.48859e-05,0.0103637,0.707829,80.9192.,1809
5.9123e-05,0.0103637,0.692679,88.0159.,2308
0.000104426,0.0103637,0.687809,92.5849.,1592
7.17017e-05,0.0103637,0.688038,95.6485.,1590
9.04185e-05,0.0103637,0.696046,82.6378.,2400
8.52955e-05,0.0103637,0.68677,86.2912.,1972
6.0231e-05,0.0103637,0.692419,87.6295.,2138
6.19528e-05,0.0103637,0.677021,93.7818.,2474
4.86728e-05,0.0103637,0.695779,81.2872.,1966
0.000112679,0.0103637,0.683283,92.884.,1525
3.35026e-05,0.0103637,0.693536,85.1577.,2834
0.000111562,0.0103637,0.701278,82.4601.,1494
5.60467e-05,0.0103637,0.693734,88.7562.,2850
8.91618e-05,0.0103637,0.695836,85.7044.,1825
5.86723e-05,0.0103637,0.695234,90.0389.,1775
0.000124082,0.0103637,0.693874,90.6256.,1832
7.59202e-05,0.0103637,0.695028,86.5225.,1412
9.78369e-05,0.0103637,0.691068,93.0686.,1522
0.000133166,0.0103637,0.70704,86.9607.,2158
6.94058e-05,0.0103637,0.687931,91.6042.,2246
6.23195e-05,0.0103637,0.686537,100.349.,1409
5.2505e-05,0.0103637,0.695303,78.4994.,3239
0.000118392,0.0103637,0.689132,89.8504.,1612
9.63249e-05,0.0103637,0.687783,83.6403.,2080
5.99358e-05,0.0103637,0.690797,101.654.,1713
7.13858e-05,0.0103637,0.696033,99.3329.,1566
8.29146e-05,0.0103637,0.694109,92.788.,1932
6.941e-05,0.0103637,0.689276,83.6513.,2264
7.01229e-05,0.0103637,0.685375,85.7803.,2056
6.00461e-05,0.0103637,0.694496,83.9198.,2334
7.17098e-05,0.0103637,0.691257,97.1194.,1678
5.56866e-05,0.0103637,0.693604,86.66.,3172
8.57536e-05,0.0103637,0.696875,95.519.,1736
5.44961e-05,0.0103637,0.705914,94.3315.,2152
0.00010223,0.0103637,0.696688,89.9138.,1796
8.7968e-05,0.0103637,0.70126,89.7127.,1584
5.85877e-05,0.0103637,0.685943,88.7631.,2666
8.37385e-05,0.0103637,0.687253,86.5084.,1413
6.09753e-05,0.0103637,0.684085,93.2268.,2400
6.68336e-05,0.0103637,0.695989,86.4354.,2138
7.2593e-05,0.0103637,0.687196,91.7037.,1767
7.43132e-05,0.0103637,0.68878,89.9394.,1454
6.50205e-05,0.0103637,0.694766,82.762.,2376
6.27443e-05,0.0103637,0.689244,81.379.,2775
9.78857e-05,0.0103637,0.6923,80.2224.,2365
5.53248e-05,0.0103637,0.690217,79.8926.,3130
8.19988e-05,0.0103637,0.680978,95.5281.,1393
8.39435e-05,0.0103637,0.696348,87.6941.,1657
7.80363e-05,0.0103637,0.688069,101.649.,1615
0.000108058,0.0103637,0.703279,85.3415.,2047
8.591e-05,0.0103637,0.70373,86.2938.,2134
0.000100807,0.0103637,0.688379,101.265.,1184
6.81251e-05,0.0103637,0.690025,84.5136.,1942
0.000100306,0.0103637,0.694876,90.5252.,1811
7.43149e-05,0.0103637,0.681349,90.4494.,2383
6.54223e-05,0.0103637,0.691461,94.5348.,1662
4.00803e-05,0.0103637,0.697672,77.2599.,2960
7.43768e-05,0.0103637,0.686236,89.5657.,2487
0.000116654,0.0103637,0.703829,78.0427.,2381
4.85051e-05,0.0103637,0.685997,91.3327.,2003
5.55332e-05,0.0103637,0.691656,116.609.,1170
6.60943e-05,0.0103637,0.693062,83.6798.,1744
5.83277e-05,0.0103637,0.692641,89.0655.,2169
9.19515e-05,0.0103637,0.696555,82.225.,2525
8.81229e-05,0.0103637,0.68317,90.5327.,2012
5.85726e-05,0.0103637,0.692007,78.9694.,2646
9.00751e-05,0.0103637,0.696617,83.061.,2168
9.74536e-05,0.0103637,0.701995,97.7498.,1565
8.15851e-05,0.0103637,0.693622,87.9928.,1602
0.000105786,0.0103637,0.702003,83.4737.,1711
1 regularity variability improvement Evolution error steps
2 6.57581e-05 0.00592209 0.622392 113.016. 2368
3 5.16451e-05 0.00592209 0.610293 118.796. 2433
4 6.45083e-05 0.00592209 0.592139 127.157. 1655
5 7.14801e-05 0.00592209 0.624039 121.613. 1933
6 5.62707e-05 0.00592209 0.611091 119.539. 2618
7 5.55953e-05 0.00592209 0.625812 119.512. 2505
8 5.96026e-05 0.00592209 0.622873 118.285. 1582
9 6.63676e-05 0.00592209 0.602386 126.579. 2214
10 5.93125e-05 0.00592209 0.608913 122.512. 2262
11 6.05066e-05 0.00592209 0.621467 118.473. 2465
12 6.42976e-05 0.00592209 0.602593 121.998. 2127
13 5.32868e-05 0.00592209 0.616501 115.313. 2746
14 5.47856e-05 0.00592209 0.615173 118.034. 2148
15 6.47209e-05 0.00592209 0.603935 120.003. 2304
16 7.07812e-05 0.00592209 0.620422 123.494. 1941
17 6.49313e-05 0.00592209 0.616232 122.989. 2214
18 6.64295e-05 0.00592209 0.605206 123.757. 1675
19 5.88806e-05 0.00592209 0.628055 110.67. 2230
20 7.56461e-05 0.00592209 0.625361 121.232. 2187
21 4.932e-05 0.00592209 0.612261 120.979. 2280
22 5.45998e-05 0.00592209 0.61935 115.394. 2380
23 6.10654e-05 0.00592209 0.614029 116.928. 2327
24 6.09488e-05 0.00592209 0.611892 125.294. 1609
25 5.85691e-05 0.00592209 0.632686 111.635. 2831
26 6.87292e-05 0.00592209 0.61519 114.681. 2565
27 6.53377e-05 0.00592209 0.627408 111.935. 2596
28 6.98345e-05 0.00592209 0.616158 111.392. 2417
29 7.90547e-05 0.00592209 0.620575 115.346. 2031
30 6.50231e-05 0.00592209 0.625725 119.055. 1842
31 6.76541e-05 0.00592209 0.625399 117.452. 1452
32 5.72222e-05 0.00592209 0.614171 123.379. 2186
33 7.42483e-05 0.00592209 0.624683 115.053. 2236
34 6.9354e-05 0.00592209 0.619596 123.994. 1688
35 5.75478e-05 0.00592209 0.605051 118.576. 1930
36 6.01309e-05 0.00592209 0.617511 116.894. 2184
37 6.69251e-05 0.00592209 0.608408 120.129. 2007
38 4.66926e-05 0.00592209 0.60606 126.708. 1552
39 4.90102e-05 0.00592209 0.618673 114.595. 2783
40 5.51505e-05 0.00592209 0.619245 120.056. 2463
41 6.1007e-05 0.00592209 0.605215 122.057. 1493
42 5.04717e-05 0.00592209 0.623503 116.846. 2620
43 6.3578e-05 0.00592209 0.625261 124.35. 2193
44 5.8875e-05 0.00592209 0.624526 118.43. 2502
45 7.95299e-05 0.00592209 0.611719 116.574. 1849
46 6.42733e-05 0.00592209 0.608178 128.474. 2078
47 6.41674e-05 0.00592209 0.624042 111.111. 2037
48 4.88661e-05 0.00592209 0.615408 120.004. 2627
49 7.27714e-05 0.00592209 0.626926 119.866. 2128
50 4.84641e-05 0.00592209 0.608054 119.676. 2408
51 6.66562e-05 0.00592209 0.603902 128.957. 1668
52 5.99872e-05 0.00592209 0.63676 108.467. 3448
53 7.73127e-05 0.00592209 0.62232 123.353. 1551
54 6.67597e-05 0.00592209 0.621411 123.301. 2180
55 5.2819e-05 0.00592209 0.617515 114.838. 4096
56 5.29257e-05 0.00592209 0.622611 118.611. 1973
57 5.35212e-05 0.00592209 0.62533 109.616. 3424
58 7.1947e-05 0.00592209 0.632331 113.565. 2905
59 5.04311e-05 0.00592209 0.611559 120.01. 2147
60 6.57161e-05 0.00592209 0.617789 125.441. 1820
61 5.18695e-05 0.00592209 0.610402 122.541. 2430
62 6.47262e-05 0.00592209 0.609141 123.169. 1989
63 5.87925e-05 0.00592209 0.61627 117.344. 2143
64 4.36904e-05 0.00592209 0.631954 112.674. 3526
65 6.45195e-05 0.00592209 0.614402 118.787. 1765
66 5.8354e-05 0.00592209 0.615515 112.061. 2368
67 7.14669e-05 0.00592209 0.628382 110.262. 1923
68 7.24908e-05 0.00592209 0.610848 116.504. 1830
69 5.98617e-05 0.00592209 0.622949 109.607. 3609
70 5.90411e-05 0.00592209 0.629175 122.198. 1859
71 5.25569e-05 0.00592209 0.621253 124.527. 1876
72 5.86979e-05 0.00592209 0.612603 120.886. 2916
73 4.73113e-05 0.00592209 0.610586 119.176. 2072
74 5.8777e-05 0.00592209 0.62863 121.081. 2338
75 5.6608e-05 0.00592209 0.617215 121.038. 3021
76 5.74614e-05 0.00592209 0.626088 112.392. 2182
77 6.86466e-05 0.00592209 0.631893 121.148. 2246
78 4.77969e-05 0.00592209 0.635218 117.053. 2939
79 5.50553e-05 0.00592209 0.610707 123.651. 1417
80 6.89628e-05 0.00592209 0.638474 128.446. 1840
81 6.85622e-05 0.00592209 0.620769 115.527. 2116
82 5.28017e-05 0.00592209 0.614948 121.456. 2178
83 7.06916e-05 0.00592209 0.61804 127.418. 2354
84 6.81788e-05 0.00592209 0.616056 113.541. 2768
85 7.89711e-05 0.00592209 0.615108 116.805. 2293
86 5.84297e-05 0.00592209 0.612733 123.244. 2206
87 5.53374e-05 0.00592209 0.605062 123.095. 1902
88 5.51739e-05 0.00592209 0.631543 115.9. 3145
89 6.9413e-05 0.00592209 0.59103 124.024. 1475
90 5.08739e-05 0.00592209 0.621454 114.685. 3356
91 5.95256e-05 0.00592209 0.626188 113.428. 2336
92 5.63659e-05 0.00592209 0.618554 117.456. 2105
93 6.32019e-05 0.00592209 0.616926 122.15. 1799
94 6.05333e-05 0.00592209 0.613481 124.576. 1873
95 5.35997e-05 0.00592209 0.621122 113.63. 2834
96 5.94187e-05 0.00592209 0.606925 126.608. 1970
97 6.52182e-05 0.00592209 0.610882 129.916. 1246
98 6.78626e-05 0.00592209 0.608581 119.673. 2155
99 5.12495e-05 0.00592209 0.6262 116.233. 3037
100 6.7083e-05 0.00592209 0.608299 125.086. 1595
101 6.74099e-05 0.00592209 0.620429 112.897. 2800
102 0.000136559 0.00740261 0.64595 104.911. 1607
103 0.000119061 0.00740261 0.648063 102.122. 2160
104 0.00014586 0.00740261 0.662359 100.463. 1781
105 0.000143911 0.00740261 0.647409 111.329. 1435
106 0.000100089 0.00740261 0.660347 104.712. 1394
107 0.00019449 0.00740261 0.643112 100.048. 1764
108 0.000139001 0.00740261 0.636985 102.05. 1923
109 9.23895e-05 0.00740261 0.651932 98.3549. 2200
110 0.000151896 0.00740261 0.654589 93.4038. 2609
111 9.96526e-05 0.00740261 0.663458 104.028. 1515
112 0.000140183 0.00740261 0.655494 102.965. 1602
113 0.000146938 0.00740261 0.656983 102.822. 1591
114 0.000127648 0.00740261 0.644146 97.9662. 2250
115 0.000133108 0.00740261 0.653198 100.341. 2206
116 0.000136798 0.00740261 0.639845 109.73. 1540
117 0.000101394 0.00740261 0.6633 99.6362. 2820
118 0.000125845 0.00740261 0.647015 113.29. 1861
119 0.000104427 0.00740261 0.647875 112.572. 1198
120 0.000140362 0.00740261 0.669356 86.3175. 2124
121 0.000114307 0.00740261 0.669332 91.637. 2806
122 9.09613e-05 0.00740261 0.653191 107.27. 1502
123 0.000130204 0.00740261 0.651758 110.797. 1133
124 0.00014725 0.00740261 0.649409 99.0484. 1656
125 0.000110507 0.00740261 0.651763 94.2222. 2395
126 0.000153747 0.00740261 0.653734 104.417. 2041
127 0.000108131 0.00740261 0.648279 96.4144. 2267
128 0.000126425 0.00740261 0.658424 108.23. 1793
129 0.00011876 0.00740261 0.658874 98.5045. 1906
130 7.79227e-05 0.00740261 0.664063 93.4554. 2181
131 0.000124995 0.00740261 0.649892 110.564. 1778
132 0.000135721 0.00740261 0.665436 104.082. 1365
133 0.000108043 0.00740261 0.665742 95.1024. 2120
134 0.00013341 0.00740261 0.654181 100.132. 2496
135 0.000107614 0.00740261 0.659173 102.451. 2798
136 0.000126198 0.00740261 0.643969 116.302. 1655
137 0.000110899 0.00740261 0.660032 98.5173. 2555
138 0.000158971 0.00740261 0.641391 104.428. 1847
139 0.000156538 0.00740261 0.647057 104.909. 2023
140 0.000124514 0.00740261 0.649594 106.289. 1776
141 0.000141513 0.00740261 0.650988 106.708. 1510
142 0.000138867 0.00740261 0.653552 108.022. 1558
143 9.31002e-05 0.00740261 0.648143 97.8253. 2547
144 0.00011634 0.00740261 0.659954 114.829. 1103
145 0.000104627 0.00740261 0.658879 115.054. 1440
146 0.000136417 0.00740261 0.6429 106.6. 1345
147 0.00012931 0.00740261 0.63474 105.157. 1201
148 0.000107738 0.00740261 0.671551 93.2856. 2956
149 0.000114915 0.00740261 0.654224 98.8994. 1428
150 0.000104432 0.00740261 0.642969 117.524. 1103
151 0.00013635 0.00740261 0.671219 97.0705. 2329
152 0.00014468 0.00740261 0.64633 95.9897. 1552
153 0.000131339 0.00740261 0.65456 104.384. 2112
154 0.000137424 0.00740261 0.641967 104.01. 1864
155 0.000119603 0.00740261 0.643056 104.585. 1573
156 0.000152567 0.00740261 0.66439 98.8101. 1297
157 9.48346e-05 0.00740261 0.657038 104.262. 2105
158 0.000134127 0.00740261 0.65476 95.1758. 2638
159 0.000115945 0.00740261 0.655308 109.61. 1354
160 8.95548e-05 0.00740261 0.642705 96.3427. 2743
161 0.000177255 0.00740261 0.658675 106.331. 1506
162 9.39073e-05 0.00740261 0.655253 103.753. 1723
163 0.000118136 0.00740261 0.646319 106.698. 1690
164 0.000143213 0.00740261 0.662647 97.9397. 1209
165 0.000124885 0.00740261 0.65789 106.656. 1534
166 0.000122815 0.00740261 0.673803 102.299. 1433
167 0.00011158 0.00740261 0.652635 104.71. 1827
168 0.000143072 0.00740261 0.651031 99.6516. 1526
169 0.000121757 0.00740261 0.681384 85.3402. 4935
170 9.94695e-05 0.00740261 0.651079 103.875. 2087
171 0.000161101 0.00740261 0.654378 99.7871. 1947
172 0.000122246 0.00740261 0.65679 99.823. 2190
173 0.000147347 0.00740261 0.6422 110.554. 1301
174 0.000112197 0.00740261 0.654611 114.952. 998
175 0.00011529 0.00740261 0.643761 99.7046. 1245
176 0.000161519 0.00740261 0.653702 96.1227. 2219
177 0.000137877 0.00740261 0.646996 94.9822. 3061
178 0.000113204 0.00740261 0.629358 109.207. 1124
179 0.000160504 0.00740261 0.643509 106.855. 1157
180 0.000115618 0.00740261 0.667462 110.589. 1601
181 0.000155458 0.00740261 0.663885 96.4926. 1549
182 0.00012474 0.00740261 0.64672 104.201. 1704
183 0.000147478 0.00740261 0.656898 95.364. 2012
184 0.000134001 0.00740261 0.648474 95.9782. 1790
185 0.00013438 0.00740261 0.648077 109.152. 1449
186 0.000140607 0.00740261 0.640552 99.7984. 1505
187 0.000107889 0.00740261 0.663999 106.249. 1998
188 0.000149274 0.00740261 0.662709 91.3925. 1790
189 0.000121329 0.00740261 0.647837 102.095. 2291
190 0.000104416 0.00740261 0.663697 108.615. 1725
191 0.000103746 0.00740261 0.656774 100.235. 2358
192 9.74274e-05 0.00740261 0.655777 102.616. 2110
193 9.50543e-05 0.00740261 0.639904 114.163. 1233
194 0.000151294 0.00740261 0.645149 107.106. 1845
195 0.000134623 0.00740261 0.657907 94.8621. 1577
196 8.51088e-05 0.00740261 0.66594 91.0518. 2146
197 0.000131458 0.00740261 0.642009 112.361. 1165
198 0.000162778 0.00740261 0.642773 119.675. 1364
199 0.000113733 0.00740261 0.652888 102.147. 2012
200 0.000119502 0.00740261 0.65036 103.006. 1817
201 0.000123499 0.00740261 0.642794 104.759. 1498
202 7.33021e-05 0.0103637 0.695354 85.1149. 1998
203 9.86305e-05 0.0103637 0.696996 82.2095. 2127
204 9.13367e-05 0.0103637 0.699654 93.8283. 1339
205 5.75201e-05 0.0103637 0.685872 99.4121. 1936
206 8.29441e-05 0.0103637 0.689831 84.7928. 1570
207 8.37538e-05 0.0103637 0.687731 89.4784. 1535
208 7.72656e-05 0.0103637 0.692668 98.0445. 1478
209 5.69885e-05 0.0103637 0.686888 82.4413. 2455
210 7.94244e-05 0.0103637 0.690775 95.9898. 1700
211 9.02474e-05 0.0103637 0.702276 82.9514. 1923
212 7.38352e-05 0.0103637 0.679235 95.6417. 1518
213 0.000106945 0.0103637 0.68402 97.597. 1496
214 7.83009e-05 0.0103637 0.693436 92.8455. 2190
215 4.40066e-05 0.0103637 0.683834 87.554. 2604
216 0.000109585 0.0103637 0.689338 88.0962. 1754
217 8.75302e-05 0.0103637 0.6934 92.764. 1940
218 6.00375e-05 0.0103637 0.700927 92.6177. 1908
219 6.18399e-05 0.0103637 0.683082 91.9667. 1509
220 0.000116728 0.0103637 0.700828 82.2732. 1821
221 9.10256e-05 0.0103637 0.692394 94.741. 1626
222 8.72593e-05 0.0103637 0.685888 87.4631. 1578
223 8.07573e-05 0.0103637 0.686368 99.0457. 1287
224 5.47625e-05 0.0103637 0.70257 83.0585. 3707
225 9.642e-05 0.0103637 0.690792 87.7612. 1962
226 5.6002e-05 0.0103637 0.697936 92.4952. 2188
227 9.19145e-05 0.0103637 0.696617 87.4672. 1709
228 9.30803e-05 0.0103637 0.69225 85.5196. 1738
229 5.5693e-05 0.0103637 0.70504 96.1244. 1800
230 5.53709e-05 0.0103637 0.688722 80.3879. 2687
231 0.000103781 0.0103637 0.702795 88.557. 1964
232 9.48859e-05 0.0103637 0.707829 80.9192. 1809
233 5.9123e-05 0.0103637 0.692679 88.0159. 2308
234 0.000104426 0.0103637 0.687809 92.5849. 1592
235 7.17017e-05 0.0103637 0.688038 95.6485. 1590
236 9.04185e-05 0.0103637 0.696046 82.6378. 2400
237 8.52955e-05 0.0103637 0.68677 86.2912. 1972
238 6.0231e-05 0.0103637 0.692419 87.6295. 2138
239 6.19528e-05 0.0103637 0.677021 93.7818. 2474
240 4.86728e-05 0.0103637 0.695779 81.2872. 1966
241 0.000112679 0.0103637 0.683283 92.884. 1525
242 3.35026e-05 0.0103637 0.693536 85.1577. 2834
243 0.000111562 0.0103637 0.701278 82.4601. 1494
244 5.60467e-05 0.0103637 0.693734 88.7562. 2850
245 8.91618e-05 0.0103637 0.695836 85.7044. 1825
246 5.86723e-05 0.0103637 0.695234 90.0389. 1775
247 0.000124082 0.0103637 0.693874 90.6256. 1832
248 7.59202e-05 0.0103637 0.695028 86.5225. 1412
249 9.78369e-05 0.0103637 0.691068 93.0686. 1522
250 0.000133166 0.0103637 0.70704 86.9607. 2158
251 6.94058e-05 0.0103637 0.687931 91.6042. 2246
252 6.23195e-05 0.0103637 0.686537 100.349. 1409
253 5.2505e-05 0.0103637 0.695303 78.4994. 3239
254 0.000118392 0.0103637 0.689132 89.8504. 1612
255 9.63249e-05 0.0103637 0.687783 83.6403. 2080
256 5.99358e-05 0.0103637 0.690797 101.654. 1713
257 7.13858e-05 0.0103637 0.696033 99.3329. 1566
258 8.29146e-05 0.0103637 0.694109 92.788. 1932
259 6.941e-05 0.0103637 0.689276 83.6513. 2264
260 7.01229e-05 0.0103637 0.685375 85.7803. 2056
261 6.00461e-05 0.0103637 0.694496 83.9198. 2334
262 7.17098e-05 0.0103637 0.691257 97.1194. 1678
263 5.56866e-05 0.0103637 0.693604 86.66. 3172
264 8.57536e-05 0.0103637 0.696875 95.519. 1736
265 5.44961e-05 0.0103637 0.705914 94.3315. 2152
266 0.00010223 0.0103637 0.696688 89.9138. 1796
267 8.7968e-05 0.0103637 0.70126 89.7127. 1584
268 5.85877e-05 0.0103637 0.685943 88.7631. 2666
269 8.37385e-05 0.0103637 0.687253 86.5084. 1413
270 6.09753e-05 0.0103637 0.684085 93.2268. 2400
271 6.68336e-05 0.0103637 0.695989 86.4354. 2138
272 7.2593e-05 0.0103637 0.687196 91.7037. 1767
273 7.43132e-05 0.0103637 0.68878 89.9394. 1454
274 6.50205e-05 0.0103637 0.694766 82.762. 2376
275 6.27443e-05 0.0103637 0.689244 81.379. 2775
276 9.78857e-05 0.0103637 0.6923 80.2224. 2365
277 5.53248e-05 0.0103637 0.690217 79.8926. 3130
278 8.19988e-05 0.0103637 0.680978 95.5281. 1393
279 8.39435e-05 0.0103637 0.696348 87.6941. 1657
280 7.80363e-05 0.0103637 0.688069 101.649. 1615
281 0.000108058 0.0103637 0.703279 85.3415. 2047
282 8.591e-05 0.0103637 0.70373 86.2938. 2134
283 0.000100807 0.0103637 0.688379 101.265. 1184
284 6.81251e-05 0.0103637 0.690025 84.5136. 1942
285 0.000100306 0.0103637 0.694876 90.5252. 1811
286 7.43149e-05 0.0103637 0.681349 90.4494. 2383
287 6.54223e-05 0.0103637 0.691461 94.5348. 1662
288 4.00803e-05 0.0103637 0.697672 77.2599. 2960
289 7.43768e-05 0.0103637 0.686236 89.5657. 2487
290 0.000116654 0.0103637 0.703829 78.0427. 2381
291 4.85051e-05 0.0103637 0.685997 91.3327. 2003
292 5.55332e-05 0.0103637 0.691656 116.609. 1170
293 6.60943e-05 0.0103637 0.693062 83.6798. 1744
294 5.83277e-05 0.0103637 0.692641 89.0655. 2169
295 9.19515e-05 0.0103637 0.696555 82.225. 2525
296 8.81229e-05 0.0103637 0.68317 90.5327. 2012
297 5.85726e-05 0.0103637 0.692007 78.9694. 2646
298 9.00751e-05 0.0103637 0.696617 83.061. 2168
299 9.74536e-05 0.0103637 0.701995 97.7498. 1565
300 8.15851e-05 0.0103637 0.693622 87.9928. 1602
301 0.000105786 0.0103637 0.702003 83.4737. 1711

184
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*******************************************************************************
Mon Oct 16 12:22:40 2017
FIT: data read from "4x4xX.csv" every ::1 using 1:5
format = x:z
#datapoints = 300
residuals are weighted equally (unit weight)
function used for fitting: f(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 1.32625e+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 7 iterations the fit converged.
final sum of squares of residuals : 7.7143e+07
rel. change during last iteration : -3.63726e-13
degrees of freedom (FIT_NDF) : 298
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 508.792
variance of residuals (reduced chisquare) = WSSR/ndf : 258869
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = -6.4547e+06 +/- 8.988e+05 (13.92%)
b = 2603.14 +/- 84.97 (3.264%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.938 1.000
*******************************************************************************
Mon Oct 16 12:22:40 2017
FIT: data read from "4x4xX.csv" every ::1 using 3:5
format = x:z
#datapoints = 300
residuals are weighted equally (unit weight)
function used for fitting: g(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 1.32546e+09 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.84538
initial set of free parameter values
aa = 1
bb = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 8.94193e+07
rel. change during last iteration : -1.93107e-12
degrees of freedom (FIT_NDF) : 298
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 547.782
variance of residuals (reduced chisquare) = WSSR/ndf : 300065
Final set of parameters Asymptotic Standard Error
======================= ==========================
aa = -1884.14 +/- 995.6 (52.84%)
bb = 3263.68 +/- 652.3 (19.99%)
correlation matrix of the fit parameters:
aa bb
aa 1.000
bb -0.999 1.000
*******************************************************************************
Mon Oct 16 12:22:40 2017
FIT: data read from "4x4xX.csv" every ::1 using 3:4
format = x:z
#datapoints = 300
residuals are weighted equally (unit weight)
function used for fitting: h(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 3.18416e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.84538
initial set of free parameter values
aaa = 1
bbb = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 9837.05
rel. change during last iteration : -4.26287e-10
degrees of freedom (FIT_NDF) : 298
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.74545
variance of residuals (reduced chisquare) = WSSR/ndf : 33.0102
Final set of parameters Asymptotic Standard Error
======================= ==========================
aaa = -390.954 +/- 10.44 (2.671%)
bbb = 359.628 +/- 6.842 (1.903%)
correlation matrix of the fit parameters:
aaa bbb
aaa 1.000
bbb -0.999 1.000
*******************************************************************************
Mon Oct 16 12:22:40 2017
FIT: data read from "4x4xX.csv" every ::1 using 2:4
format = x:z
#datapoints = 300
residuals are weighted equally (unit weight)
function used for fitting: i(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 3.22367e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.70713
initial set of free parameter values
aaaa = 1
bbbb = 1
After 5 iterations the fit converged.
final sum of squares of residuals : 13663.3
rel. change during last iteration : -1.10647e-09
degrees of freedom (FIT_NDF) : 298
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.77125
variance of residuals (reduced chisquare) = WSSR/ndf : 45.8499
Final set of parameters Asymptotic Standard Error
======================= ==========================
aaaa = -6441.69 +/- 211.7 (3.287%)
bbbb = 154.627 +/- 1.717 (1.11%)
correlation matrix of the fit parameters:
aaaa bbbb
aaaa 1.000
bbbb -0.974 1.000

348
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Iteration 0
WSSR : 1.32625e+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 : 9.04975e+07 delta(WSSR)/WSSR : -13.6551
delta(WSSR) : -1.23575e+09 limit for stopping : 1e-05
lambda : 0.0707107
resultant parameter values
a = -2.95711
b = 2027.2
/
Iteration 2
WSSR : 9.04923e+07 delta(WSSR)/WSSR : -5.67167e-05
delta(WSSR) : -5132.43 limit for stopping : 1e-05
lambda : 0.00707107
resultant parameter values
a = -416.614
b = 2030.62
/
Iteration 3
WSSR : 9.03228e+07 delta(WSSR)/WSSR : -0.0018764
delta(WSSR) : -169482 limit for stopping : 1e-05
lambda : 0.000707107
resultant parameter values
a = -41519
b = 2034.26
/
Iteration 4
WSSR : 8.20379e+07 delta(WSSR)/WSSR : -0.100989
delta(WSSR) : -8.28494e+06 limit for stopping : 1e-05
lambda : 7.07107e-05
resultant parameter values
a = -2.54638e+06
b = 2256.46
/
Iteration 5
WSSR : 7.71442e+07 delta(WSSR)/WSSR : -0.0634364
delta(WSSR) : -4.89375e+06 limit for stopping : 1e-05
lambda : 7.07107e-06
resultant parameter values
a = -6.39466e+06
b = 2597.82
/
Iteration 6
WSSR : 7.7143e+07 delta(WSSR)/WSSR : -1.49766e-05
delta(WSSR) : -1155.34 limit for stopping : 1e-05
lambda : 7.07107e-07
resultant parameter values
a = -6.45469e+06
b = 2603.14
/
Iteration 7
WSSR : 7.7143e+07 delta(WSSR)/WSSR : -3.63726e-13
delta(WSSR) : -2.80589e-05 limit for stopping : 1e-05
lambda : 7.07107e-08
resultant parameter values
a = -6.4547e+06
b = 2603.14
After 7 iterations the fit converged.
final sum of squares of residuals : 7.7143e+07
rel. change during last iteration : -3.63726e-13
degrees of freedom (FIT_NDF) : 298
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 508.792
variance of residuals (reduced chisquare) = WSSR/ndf : 258869
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = -6.4547e+06 +/- 8.988e+05 (13.92%)
b = 2603.14 +/- 84.97 (3.264%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.938 1.000
Iteration 0
WSSR : 1.32546e+09 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.84538
initial set of free parameter values
aa = 1
bb = 1
/
Iteration 1
WSSR : 9.08499e+07 delta(WSSR)/WSSR : -13.5895
delta(WSSR) : -1.23461e+09 limit for stopping : 1e-05
lambda : 0.084538
resultant parameter values
aa = 285.251
bb = 1839.51
/
Iteration 2
WSSR : 8.94208e+07 delta(WSSR)/WSSR : -0.015981
delta(WSSR) : -1.42903e+06 limit for stopping : 1e-05
lambda : 0.0084538
resultant parameter values
aa = -1813.32
bb = 3217.3
/
Iteration 3
WSSR : 8.94193e+07 delta(WSSR)/WSSR : -1.69869e-05
delta(WSSR) : -1518.96 limit for stopping : 1e-05
lambda : 0.00084538
resultant parameter values
aa = -1884.12
bb = 3263.67
/
Iteration 4
WSSR : 8.94193e+07 delta(WSSR)/WSSR : -1.93107e-12
delta(WSSR) : -0.000172675 limit for stopping : 1e-05
lambda : 8.4538e-05
resultant parameter values
aa = -1884.14
bb = 3263.68
After 4 iterations the fit converged.
final sum of squares of residuals : 8.94193e+07
rel. change during last iteration : -1.93107e-12
degrees of freedom (FIT_NDF) : 298
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 547.782
variance of residuals (reduced chisquare) = WSSR/ndf : 300065
Final set of parameters Asymptotic Standard Error
======================= ==========================
aa = -1884.14 +/- 995.6 (52.84%)
bb = 3263.68 +/- 652.3 (19.99%)
correlation matrix of the fit parameters:
aa bb
aa 1.000
bb -0.999 1.000
Iteration 0
WSSR : 3.18416e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.84538
initial set of free parameter values
aaa = 1
bbb = 1
/
Iteration 1
WSSR : 44510.3 delta(WSSR)/WSSR : -70.5376
delta(WSSR) : -3.13965e+06 limit for stopping : 1e-05
lambda : 0.084538
resultant parameter values
aaa = -52.6873
bbb = 137.918
/
Iteration 2
WSSR : 9873.94 delta(WSSR)/WSSR : -3.50786
delta(WSSR) : -34636.4 limit for stopping : 1e-05
lambda : 0.0084538
resultant parameter values
aaa = -379.916
bbb = 352.399
/
Iteration 3
WSSR : 9837.05 delta(WSSR)/WSSR : -0.00375062
delta(WSSR) : -36.895 limit for stopping : 1e-05
lambda : 0.00084538
resultant parameter values
aaa = -390.95
bbb = 359.626
/
Iteration 4
WSSR : 9837.05 delta(WSSR)/WSSR : -4.26287e-10
delta(WSSR) : -4.1934e-06 limit for stopping : 1e-05
lambda : 8.4538e-05
resultant parameter values
aaa = -390.954
bbb = 359.628
After 4 iterations the fit converged.
final sum of squares of residuals : 9837.05
rel. change during last iteration : -4.26287e-10
degrees of freedom (FIT_NDF) : 298
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.74545
variance of residuals (reduced chisquare) = WSSR/ndf : 33.0102
Final set of parameters Asymptotic Standard Error
======================= ==========================
aaa = -390.954 +/- 10.44 (2.671%)
bbb = 359.628 +/- 6.842 (1.903%)
correlation matrix of the fit parameters:
aaa bbb
aaa 1.000
bbb -0.999 1.000
Iteration 0
WSSR : 3.22367e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.70713
initial set of free parameter values
aaaa = 1
bbbb = 1
/
Iteration 1
WSSR : 55969.5 delta(WSSR)/WSSR : -56.597
delta(WSSR) : -3.1677e+06 limit for stopping : 1e-05
lambda : 0.070713
resultant parameter values
aaaa = -11.3439
bbbb = 103.681
/
Iteration 2
WSSR : 42814.5 delta(WSSR)/WSSR : -0.307254
delta(WSSR) : -13154.9 limit for stopping : 1e-05
lambda : 0.0070713
resultant parameter values
aaaa = -1103.35
bbbb = 112.475
/
Iteration 3
WSSR : 13726.6 delta(WSSR)/WSSR : -2.1191
delta(WSSR) : -29087.9 limit for stopping : 1e-05
lambda : 0.00070713
resultant parameter values
aaaa = -6192.88
bbbb = 152.662
/
Iteration 4
WSSR : 13663.3 delta(WSSR)/WSSR : -0.00463454
delta(WSSR) : -63.3229 limit for stopping : 1e-05
lambda : 7.0713e-05
resultant parameter values
aaaa = -6441.56
bbbb = 154.626
/
Iteration 5
WSSR : 13663.3 delta(WSSR)/WSSR : -1.10647e-09
delta(WSSR) : -1.51181e-05 limit for stopping : 1e-05
lambda : 7.0713e-06
resultant parameter values
aaaa = -6441.69
bbbb = 154.627
After 5 iterations the fit converged.
final sum of squares of residuals : 13663.3
rel. change during last iteration : -1.10647e-09
degrees of freedom (FIT_NDF) : 298
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.77125
variance of residuals (reduced chisquare) = WSSR/ndf : 45.8499
Final set of parameters Asymptotic Standard Error
======================= ==========================
aaaa = -6441.69 +/- 211.7 (3.287%)
bbbb = 154.627 +/- 1.717 (1.11%)
correlation matrix of the fit parameters:
aaaa bbbb
aaaa 1.000
bbbb -0.974 1.000

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set datafile separator ","
f(x)=a*x+b
fit f(x) "4x4xX.csv" every ::1 using 1:5 via a,b
set terminal png
set xlabel 'regularity'
set ylabel 'steps'
set output "4x4xX_regularity-vs-steps.png"
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 1:5 title "4x4x4", "20171005_3dFit_4x4x5_100times.csv" every ::1 using 1:5 title "4x4x5", "20171013_3dFit_4x4x7_100times.csv" every ::1 using 1:5 title "4x4x7", f(x) title "lin. fit" lc rgb "black"
g(x)=aa*x+bb
fit g(x) "4x4xX.csv" every ::1 using 3:5 via aa,bb
set xlabel 'improvement potential'
set ylabel 'steps'
set output "4x4xX_improvement-vs-steps.png"
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:5 title "4x4x4", "20171005_3dFit_4x4x5_100times.csv" every ::1 using 3:5 title "4x4x5", "20171013_3dFit_4x4x7_100times.csv" every ::1 using 3:5 title "4x4x7", g(x) title "lin. fit" lc rgb "black"
h(x)=aaa*x+bbb
fit h(x) "4x4xX.csv" every ::1 using 3:4 via aaa,bbb
set xlabel 'improvement potential'
set ylabel 'evolution error'
set output "4x4xX_improvement-vs-evo-error.png"
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:4 title "4x4x4", "20171005_3dFit_4x4x5_100times.csv" every ::1 using 3:4 title "4x4x5", "20171013_3dFit_4x4x7_100times.csv" every ::1 using 3:4 title "4x4x7", h(x) title "lin. fit" lc rgb "black"
i(x)=aaaa*x+bbbb
fit i(x) "4x4xX.csv" every ::1 using 2:4 via aaaa,bbbb
set xlabel 'variability'
set ylabel 'evolution error'
set output "4x4xX_variability-vs-evo-error.png"
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 2:4 title "4x4x4", "20171005_3dFit_4x4x5_100times.csv" every ::1 using 2:4 title "4x4x5", "20171013_3dFit_4x4x7_100times.csv" every ::1 using 2:4 title "4x4x7", i(x) title "lin. fit" lc rgb "black"

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301
dokumentation/evolution3d/Xx4x4.csv Normal file
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regularity,variability,improvement,"Evolution error",steps
6.57581e-05,0.00592209,0.622392,113.016.,2368
5.16451e-05,0.00592209,0.610293,118.796.,2433
6.45083e-05,0.00592209,0.592139,127.157.,1655
7.14801e-05,0.00592209,0.624039,121.613.,1933
5.62707e-05,0.00592209,0.611091,119.539.,2618
5.55953e-05,0.00592209,0.625812,119.512.,2505
5.96026e-05,0.00592209,0.622873,118.285.,1582
6.63676e-05,0.00592209,0.602386,126.579.,2214
5.93125e-05,0.00592209,0.608913,122.512.,2262
6.05066e-05,0.00592209,0.621467,118.473.,2465
6.42976e-05,0.00592209,0.602593,121.998.,2127
5.32868e-05,0.00592209,0.616501,115.313.,2746
5.47856e-05,0.00592209,0.615173,118.034.,2148
6.47209e-05,0.00592209,0.603935,120.003.,2304
7.07812e-05,0.00592209,0.620422,123.494.,1941
6.49313e-05,0.00592209,0.616232,122.989.,2214
6.64295e-05,0.00592209,0.605206,123.757.,1675
5.88806e-05,0.00592209,0.628055,110.67.,2230
7.56461e-05,0.00592209,0.625361,121.232.,2187
4.932e-05,0.00592209,0.612261,120.979.,2280
5.45998e-05,0.00592209,0.61935,115.394.,2380
6.10654e-05,0.00592209,0.614029,116.928.,2327
6.09488e-05,0.00592209,0.611892,125.294.,1609
5.85691e-05,0.00592209,0.632686,111.635.,2831
6.87292e-05,0.00592209,0.61519,114.681.,2565
6.53377e-05,0.00592209,0.627408,111.935.,2596
6.98345e-05,0.00592209,0.616158,111.392.,2417
7.90547e-05,0.00592209,0.620575,115.346.,2031
6.50231e-05,0.00592209,0.625725,119.055.,1842
6.76541e-05,0.00592209,0.625399,117.452.,1452
5.72222e-05,0.00592209,0.614171,123.379.,2186
7.42483e-05,0.00592209,0.624683,115.053.,2236
6.9354e-05,0.00592209,0.619596,123.994.,1688
5.75478e-05,0.00592209,0.605051,118.576.,1930
6.01309e-05,0.00592209,0.617511,116.894.,2184
6.69251e-05,0.00592209,0.608408,120.129.,2007
4.66926e-05,0.00592209,0.60606,126.708.,1552
4.90102e-05,0.00592209,0.618673,114.595.,2783
5.51505e-05,0.00592209,0.619245,120.056.,2463
6.1007e-05,0.00592209,0.605215,122.057.,1493
5.04717e-05,0.00592209,0.623503,116.846.,2620
6.3578e-05,0.00592209,0.625261,124.35.,2193
5.8875e-05,0.00592209,0.624526,118.43.,2502
7.95299e-05,0.00592209,0.611719,116.574.,1849
6.42733e-05,0.00592209,0.608178,128.474.,2078
6.41674e-05,0.00592209,0.624042,111.111.,2037
4.88661e-05,0.00592209,0.615408,120.004.,2627
7.27714e-05,0.00592209,0.626926,119.866.,2128
4.84641e-05,0.00592209,0.608054,119.676.,2408
6.66562e-05,0.00592209,0.603902,128.957.,1668
5.99872e-05,0.00592209,0.63676,108.467.,3448
7.73127e-05,0.00592209,0.62232,123.353.,1551
6.67597e-05,0.00592209,0.621411,123.301.,2180
5.2819e-05,0.00592209,0.617515,114.838.,4096
5.29257e-05,0.00592209,0.622611,118.611.,1973
5.35212e-05,0.00592209,0.62533,109.616.,3424
7.1947e-05,0.00592209,0.632331,113.565.,2905
5.04311e-05,0.00592209,0.611559,120.01.,2147
6.57161e-05,0.00592209,0.617789,125.441.,1820
5.18695e-05,0.00592209,0.610402,122.541.,2430
6.47262e-05,0.00592209,0.609141,123.169.,1989
5.87925e-05,0.00592209,0.61627,117.344.,2143
4.36904e-05,0.00592209,0.631954,112.674.,3526
6.45195e-05,0.00592209,0.614402,118.787.,1765
5.8354e-05,0.00592209,0.615515,112.061.,2368
7.14669e-05,0.00592209,0.628382,110.262.,1923
7.24908e-05,0.00592209,0.610848,116.504.,1830
5.98617e-05,0.00592209,0.622949,109.607.,3609
5.90411e-05,0.00592209,0.629175,122.198.,1859
5.25569e-05,0.00592209,0.621253,124.527.,1876
5.86979e-05,0.00592209,0.612603,120.886.,2916
4.73113e-05,0.00592209,0.610586,119.176.,2072
5.8777e-05,0.00592209,0.62863,121.081.,2338
5.6608e-05,0.00592209,0.617215,121.038.,3021
5.74614e-05,0.00592209,0.626088,112.392.,2182
6.86466e-05,0.00592209,0.631893,121.148.,2246
4.77969e-05,0.00592209,0.635218,117.053.,2939
5.50553e-05,0.00592209,0.610707,123.651.,1417
6.89628e-05,0.00592209,0.638474,128.446.,1840
6.85622e-05,0.00592209,0.620769,115.527.,2116
5.28017e-05,0.00592209,0.614948,121.456.,2178
7.06916e-05,0.00592209,0.61804,127.418.,2354
6.81788e-05,0.00592209,0.616056,113.541.,2768
7.89711e-05,0.00592209,0.615108,116.805.,2293
5.84297e-05,0.00592209,0.612733,123.244.,2206
5.53374e-05,0.00592209,0.605062,123.095.,1902
5.51739e-05,0.00592209,0.631543,115.9.,3145
6.9413e-05,0.00592209,0.59103,124.024.,1475
5.08739e-05,0.00592209,0.621454,114.685.,3356
5.95256e-05,0.00592209,0.626188,113.428.,2336
5.63659e-05,0.00592209,0.618554,117.456.,2105
6.32019e-05,0.00592209,0.616926,122.15.,1799
6.05333e-05,0.00592209,0.613481,124.576.,1873
5.35997e-05,0.00592209,0.621122,113.63.,2834
5.94187e-05,0.00592209,0.606925,126.608.,1970
6.52182e-05,0.00592209,0.610882,129.916.,1246
6.78626e-05,0.00592209,0.608581,119.673.,2155
5.12495e-05,0.00592209,0.6262,116.233.,3037
6.7083e-05,0.00592209,0.608299,125.086.,1595
6.74099e-05,0.00592209,0.620429,112.897.,2800
0.00013051,0.00740261,0.673824,91.4882.,1062
0.000159037,0.00740261,0.666191,95.001.,1290
0.000109945,0.00740261,0.685209,97.72.,1059
0.000120805,0.00740261,0.688032,99.0429.,882
0.000140221,0.00740261,0.675152,102.273.,1178
0.000134368,0.00740261,0.661202,98.0028.,719
0.000117293,0.00740261,0.660647,101.929.,1039
9.7644e-05,0.00740261,0.667314,103.969.,1151
0.000106383,0.00740261,0.662442,92.5069.,829
0.000155402,0.00740261,0.654566,118.88.,500
0.000113231,0.00740261,0.656068,96.2138.,1209
0.000130038,0.00740261,0.664787,100.164.,1132
0.000136999,0.00740261,0.664672,95.9282.,953
0.000132682,0.00740261,0.661782,96.3737.,863
0.000137845,0.00740261,0.68534,107.927.,456
0.000145459,0.00740261,0.68091,98.0377.,655
0.000102442,0.00740261,0.661866,94.9011.,1197
0.00010359,0.00740261,0.669868,102.223.,1144
0.000129823,0.00740261,0.677934,126.177.,487
0.000132429,0.00740261,0.679809,101.879.,614
0.000115304,0.00740261,0.669119,90.0009.,1160
0.0001255,0.00740261,0.654297,101.026.,628
0.000158057,0.00740261,0.664945,94.5618.,766
0.000154108,0.00740261,0.671599,99.2481.,556
0.000144671,0.00740261,0.671715,94.1741.,941
0.000149935,0.00740261,0.664314,102.894.,593
0.000120403,0.00740261,0.661916,103.993.,856
0.000122521,0.00740261,0.688557,96.549.,1544
0.000176649,0.00740261,0.673862,90.1281.,1182
0.000148777,0.00740261,0.685072,104.444.,649
0.000101352,0.00740261,0.673358,104.542.,1051
0.000117799,0.00740261,0.656687,107.051.,525
0.000119537,0.00740261,0.674016,102.128.,790
0.000139523,0.00740261,0.674215,105.315.,537
0.000136167,0.00740261,0.661759,104.097.,714
0.000190288,0.00740261,0.67647,96.8133.,536
0.000122321,0.00740261,0.667716,99.8496.,997
0.000152454,0.00740261,0.673331,103.385.,653
0.000136288,0.00740261,0.662476,108.874.,435
0.000135477,0.00740261,0.658957,112.975.,489
0.000118528,0.00740261,0.652968,113.068.,656
0.000158042,0.00740261,0.669166,99.4226.,762
8.34426e-05,0.00740261,0.669917,115.742.,473
0.000103695,0.00740261,0.668814,94.4964.,919
0.000111848,0.00740261,0.668306,103.45.,694
0.000145773,0.00740261,0.671588,116.123.,468
0.000121232,0.00740261,0.664407,98.1676.,742
0.000141766,0.00740261,0.659441,105.069.,817
0.000132584,0.00740261,0.680023,108.953.,641
0.000107048,0.00740261,0.687908,91.997.,1336
0.000144664,0.00740261,0.668632,95.3832.,1796
0.000162707,0.00740261,0.67518,87.7666.,1475
0.000152531,0.00740261,0.673962,97.0353.,1021
0.000142111,0.00740261,0.678162,99.1089.,971
0.000122117,0.00740261,0.673304,95.5062.,909
0.000119921,0.00740261,0.650853,130.854.,465
7.23937e-05,0.00740261,0.649618,101.333.,1045
0.000139668,0.00740261,0.671239,96.735.,701
0.00012961,0.00740261,0.671942,98.5471.,935
0.000126957,0.00740261,0.664651,107.22.,929
0.000157769,0.00740261,0.660679,97.6237.,917
0.000152029,0.00740261,0.662968,105.503.,909
9.66919e-05,0.00740261,0.65868,110.648.,599
0.000152119,0.00740261,0.675902,95.6589.,779
0.0001074,0.00740261,0.665579,98.2938.,755
0.000117728,0.00740261,0.662558,103.401.,714
0.000111497,0.00740261,0.661687,110.527.,530
0.000110637,0.00740261,0.666203,96.7363.,1023
0.00013237,0.00740261,0.666233,95.9747.,706
0.000125735,0.00740261,0.689224,93.9381.,866
0.000133393,0.00740261,0.657839,101.823.,732
0.000144244,0.00740261,0.663091,115.05.,1226
0.000124349,0.00740261,0.668097,101.306.,1122
0.000142602,0.00740261,0.656584,102.493.,631
0.000118057,0.00740261,0.662982,94.8579.,875
0.000142745,0.00740261,0.67665,108.05.,644
0.000165048,0.00740261,0.662857,101.873.,709
0.000129561,0.00740261,0.657732,113.606.,609
0.000128823,0.00740261,0.668196,97.6295.,754
0.000137056,0.00740261,0.682813,94.5646.,1630
0.000134364,0.00740261,0.661282,89.2764.,977
0.000111668,0.00740261,0.671422,97.445.,885
0.000143655,0.00740261,0.656792,101.923.,767
0.000101243,0.00740261,0.668738,103.308.,702
0.000126643,0.00740261,0.6921,92.9774.,1952
0.00016266,0.00740261,0.677012,95.1595.,1241
0.000124782,0.00740261,0.669869,101.54.,874
0.000111837,0.00740261,0.658483,106.698.,735
0.000170519,0.00740261,0.667606,108.192.,865
0.000141366,0.00740261,0.657861,101.598.,676
0.00014135,0.00740261,0.669907,102.393.,669
0.000123703,0.00740261,0.652962,105.018.,689
0.000132077,0.00740261,0.66298,94.0851.,991
0.000116146,0.00740261,0.669464,97.1255.,1215
0.000149136,0.00740261,0.672497,100.425.,740
0.000125424,0.00740261,0.67969,100.988.,820
9.2974e-05,0.00740261,0.682842,100.096.,858
0.00010642,0.00740261,0.667256,95.9289.,859
0.000126849,0.00740261,0.674574,89.3173.,1455
0.000160011,0.00740261,0.652659,103.315.,462
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 6.57581e-05 0.00592209 0.622392 113.016. 2368
3 5.16451e-05 0.00592209 0.610293 118.796. 2433
4 6.45083e-05 0.00592209 0.592139 127.157. 1655
5 7.14801e-05 0.00592209 0.624039 121.613. 1933
6 5.62707e-05 0.00592209 0.611091 119.539. 2618
7 5.55953e-05 0.00592209 0.625812 119.512. 2505
8 5.96026e-05 0.00592209 0.622873 118.285. 1582
9 6.63676e-05 0.00592209 0.602386 126.579. 2214
10 5.93125e-05 0.00592209 0.608913 122.512. 2262
11 6.05066e-05 0.00592209 0.621467 118.473. 2465
12 6.42976e-05 0.00592209 0.602593 121.998. 2127
13 5.32868e-05 0.00592209 0.616501 115.313. 2746
14 5.47856e-05 0.00592209 0.615173 118.034. 2148
15 6.47209e-05 0.00592209 0.603935 120.003. 2304
16 7.07812e-05 0.00592209 0.620422 123.494. 1941
17 6.49313e-05 0.00592209 0.616232 122.989. 2214
18 6.64295e-05 0.00592209 0.605206 123.757. 1675
19 5.88806e-05 0.00592209 0.628055 110.67. 2230
20 7.56461e-05 0.00592209 0.625361 121.232. 2187
21 4.932e-05 0.00592209 0.612261 120.979. 2280
22 5.45998e-05 0.00592209 0.61935 115.394. 2380
23 6.10654e-05 0.00592209 0.614029 116.928. 2327
24 6.09488e-05 0.00592209 0.611892 125.294. 1609
25 5.85691e-05 0.00592209 0.632686 111.635. 2831
26 6.87292e-05 0.00592209 0.61519 114.681. 2565
27 6.53377e-05 0.00592209 0.627408 111.935. 2596
28 6.98345e-05 0.00592209 0.616158 111.392. 2417
29 7.90547e-05 0.00592209 0.620575 115.346. 2031
30 6.50231e-05 0.00592209 0.625725 119.055. 1842
31 6.76541e-05 0.00592209 0.625399 117.452. 1452
32 5.72222e-05 0.00592209 0.614171 123.379. 2186
33 7.42483e-05 0.00592209 0.624683 115.053. 2236
34 6.9354e-05 0.00592209 0.619596 123.994. 1688
35 5.75478e-05 0.00592209 0.605051 118.576. 1930
36 6.01309e-05 0.00592209 0.617511 116.894. 2184
37 6.69251e-05 0.00592209 0.608408 120.129. 2007
38 4.66926e-05 0.00592209 0.60606 126.708. 1552
39 4.90102e-05 0.00592209 0.618673 114.595. 2783
40 5.51505e-05 0.00592209 0.619245 120.056. 2463
41 6.1007e-05 0.00592209 0.605215 122.057. 1493
42 5.04717e-05 0.00592209 0.623503 116.846. 2620
43 6.3578e-05 0.00592209 0.625261 124.35. 2193
44 5.8875e-05 0.00592209 0.624526 118.43. 2502
45 7.95299e-05 0.00592209 0.611719 116.574. 1849
46 6.42733e-05 0.00592209 0.608178 128.474. 2078
47 6.41674e-05 0.00592209 0.624042 111.111. 2037
48 4.88661e-05 0.00592209 0.615408 120.004. 2627
49 7.27714e-05 0.00592209 0.626926 119.866. 2128
50 4.84641e-05 0.00592209 0.608054 119.676. 2408
51 6.66562e-05 0.00592209 0.603902 128.957. 1668
52 5.99872e-05 0.00592209 0.63676 108.467. 3448
53 7.73127e-05 0.00592209 0.62232 123.353. 1551
54 6.67597e-05 0.00592209 0.621411 123.301. 2180
55 5.2819e-05 0.00592209 0.617515 114.838. 4096
56 5.29257e-05 0.00592209 0.622611 118.611. 1973
57 5.35212e-05 0.00592209 0.62533 109.616. 3424
58 7.1947e-05 0.00592209 0.632331 113.565. 2905
59 5.04311e-05 0.00592209 0.611559 120.01. 2147
60 6.57161e-05 0.00592209 0.617789 125.441. 1820
61 5.18695e-05 0.00592209 0.610402 122.541. 2430
62 6.47262e-05 0.00592209 0.609141 123.169. 1989
63 5.87925e-05 0.00592209 0.61627 117.344. 2143
64 4.36904e-05 0.00592209 0.631954 112.674. 3526
65 6.45195e-05 0.00592209 0.614402 118.787. 1765
66 5.8354e-05 0.00592209 0.615515 112.061. 2368
67 7.14669e-05 0.00592209 0.628382 110.262. 1923
68 7.24908e-05 0.00592209 0.610848 116.504. 1830
69 5.98617e-05 0.00592209 0.622949 109.607. 3609
70 5.90411e-05 0.00592209 0.629175 122.198. 1859
71 5.25569e-05 0.00592209 0.621253 124.527. 1876
72 5.86979e-05 0.00592209 0.612603 120.886. 2916
73 4.73113e-05 0.00592209 0.610586 119.176. 2072
74 5.8777e-05 0.00592209 0.62863 121.081. 2338
75 5.6608e-05 0.00592209 0.617215 121.038. 3021
76 5.74614e-05 0.00592209 0.626088 112.392. 2182
77 6.86466e-05 0.00592209 0.631893 121.148. 2246
78 4.77969e-05 0.00592209 0.635218 117.053. 2939
79 5.50553e-05 0.00592209 0.610707 123.651. 1417
80 6.89628e-05 0.00592209 0.638474 128.446. 1840
81 6.85622e-05 0.00592209 0.620769 115.527. 2116
82 5.28017e-05 0.00592209 0.614948 121.456. 2178
83 7.06916e-05 0.00592209 0.61804 127.418. 2354
84 6.81788e-05 0.00592209 0.616056 113.541. 2768
85 7.89711e-05 0.00592209 0.615108 116.805. 2293
86 5.84297e-05 0.00592209 0.612733 123.244. 2206
87 5.53374e-05 0.00592209 0.605062 123.095. 1902
88 5.51739e-05 0.00592209 0.631543 115.9. 3145
89 6.9413e-05 0.00592209 0.59103 124.024. 1475
90 5.08739e-05 0.00592209 0.621454 114.685. 3356
91 5.95256e-05 0.00592209 0.626188 113.428. 2336
92 5.63659e-05 0.00592209 0.618554 117.456. 2105
93 6.32019e-05 0.00592209 0.616926 122.15. 1799
94 6.05333e-05 0.00592209 0.613481 124.576. 1873
95 5.35997e-05 0.00592209 0.621122 113.63. 2834
96 5.94187e-05 0.00592209 0.606925 126.608. 1970
97 6.52182e-05 0.00592209 0.610882 129.916. 1246
98 6.78626e-05 0.00592209 0.608581 119.673. 2155
99 5.12495e-05 0.00592209 0.6262 116.233. 3037
100 6.7083e-05 0.00592209 0.608299 125.086. 1595
101 6.74099e-05 0.00592209 0.620429 112.897. 2800
102 0.00013051 0.00740261 0.673824 91.4882. 1062
103 0.000159037 0.00740261 0.666191 95.001. 1290
104 0.000109945 0.00740261 0.685209 97.72. 1059
105 0.000120805 0.00740261 0.688032 99.0429. 882
106 0.000140221 0.00740261 0.675152 102.273. 1178
107 0.000134368 0.00740261 0.661202 98.0028. 719
108 0.000117293 0.00740261 0.660647 101.929. 1039
109 9.7644e-05 0.00740261 0.667314 103.969. 1151
110 0.000106383 0.00740261 0.662442 92.5069. 829
111 0.000155402 0.00740261 0.654566 118.88. 500
112 0.000113231 0.00740261 0.656068 96.2138. 1209
113 0.000130038 0.00740261 0.664787 100.164. 1132
114 0.000136999 0.00740261 0.664672 95.9282. 953
115 0.000132682 0.00740261 0.661782 96.3737. 863
116 0.000137845 0.00740261 0.68534 107.927. 456
117 0.000145459 0.00740261 0.68091 98.0377. 655
118 0.000102442 0.00740261 0.661866 94.9011. 1197
119 0.00010359 0.00740261 0.669868 102.223. 1144
120 0.000129823 0.00740261 0.677934 126.177. 487
121 0.000132429 0.00740261 0.679809 101.879. 614
122 0.000115304 0.00740261 0.669119 90.0009. 1160
123 0.0001255 0.00740261 0.654297 101.026. 628
124 0.000158057 0.00740261 0.664945 94.5618. 766
125 0.000154108 0.00740261 0.671599 99.2481. 556
126 0.000144671 0.00740261 0.671715 94.1741. 941
127 0.000149935 0.00740261 0.664314 102.894. 593
128 0.000120403 0.00740261 0.661916 103.993. 856
129 0.000122521 0.00740261 0.688557 96.549. 1544
130 0.000176649 0.00740261 0.673862 90.1281. 1182
131 0.000148777 0.00740261 0.685072 104.444. 649
132 0.000101352 0.00740261 0.673358 104.542. 1051
133 0.000117799 0.00740261 0.656687 107.051. 525
134 0.000119537 0.00740261 0.674016 102.128. 790
135 0.000139523 0.00740261 0.674215 105.315. 537
136 0.000136167 0.00740261 0.661759 104.097. 714
137 0.000190288 0.00740261 0.67647 96.8133. 536
138 0.000122321 0.00740261 0.667716 99.8496. 997
139 0.000152454 0.00740261 0.673331 103.385. 653
140 0.000136288 0.00740261 0.662476 108.874. 435
141 0.000135477 0.00740261 0.658957 112.975. 489
142 0.000118528 0.00740261 0.652968 113.068. 656
143 0.000158042 0.00740261 0.669166 99.4226. 762
144 8.34426e-05 0.00740261 0.669917 115.742. 473
145 0.000103695 0.00740261 0.668814 94.4964. 919
146 0.000111848 0.00740261 0.668306 103.45. 694
147 0.000145773 0.00740261 0.671588 116.123. 468
148 0.000121232 0.00740261 0.664407 98.1676. 742
149 0.000141766 0.00740261 0.659441 105.069. 817
150 0.000132584 0.00740261 0.680023 108.953. 641
151 0.000107048 0.00740261 0.687908 91.997. 1336
152 0.000144664 0.00740261 0.668632 95.3832. 1796
153 0.000162707 0.00740261 0.67518 87.7666. 1475
154 0.000152531 0.00740261 0.673962 97.0353. 1021
155 0.000142111 0.00740261 0.678162 99.1089. 971
156 0.000122117 0.00740261 0.673304 95.5062. 909
157 0.000119921 0.00740261 0.650853 130.854. 465
158 7.23937e-05 0.00740261 0.649618 101.333. 1045
159 0.000139668 0.00740261 0.671239 96.735. 701
160 0.00012961 0.00740261 0.671942 98.5471. 935
161 0.000126957 0.00740261 0.664651 107.22. 929
162 0.000157769 0.00740261 0.660679 97.6237. 917
163 0.000152029 0.00740261 0.662968 105.503. 909
164 9.66919e-05 0.00740261 0.65868 110.648. 599
165 0.000152119 0.00740261 0.675902 95.6589. 779
166 0.0001074 0.00740261 0.665579 98.2938. 755
167 0.000117728 0.00740261 0.662558 103.401. 714
168 0.000111497 0.00740261 0.661687 110.527. 530
169 0.000110637 0.00740261 0.666203 96.7363. 1023
170 0.00013237 0.00740261 0.666233 95.9747. 706
171 0.000125735 0.00740261 0.689224 93.9381. 866
172 0.000133393 0.00740261 0.657839 101.823. 732
173 0.000144244 0.00740261 0.663091 115.05. 1226
174 0.000124349 0.00740261 0.668097 101.306. 1122
175 0.000142602 0.00740261 0.656584 102.493. 631
176 0.000118057 0.00740261 0.662982 94.8579. 875
177 0.000142745 0.00740261 0.67665 108.05. 644
178 0.000165048 0.00740261 0.662857 101.873. 709
179 0.000129561 0.00740261 0.657732 113.606. 609
180 0.000128823 0.00740261 0.668196 97.6295. 754
181 0.000137056 0.00740261 0.682813 94.5646. 1630
182 0.000134364 0.00740261 0.661282 89.2764. 977
183 0.000111668 0.00740261 0.671422 97.445. 885
184 0.000143655 0.00740261 0.656792 101.923. 767
185 0.000101243 0.00740261 0.668738 103.308. 702
186 0.000126643 0.00740261 0.6921 92.9774. 1952
187 0.00016266 0.00740261 0.677012 95.1595. 1241
188 0.000124782 0.00740261 0.669869 101.54. 874
189 0.000111837 0.00740261 0.658483 106.698. 735
190 0.000170519 0.00740261 0.667606 108.192. 865
191 0.000141366 0.00740261 0.657861 101.598. 676
192 0.00014135 0.00740261 0.669907 102.393. 669
193 0.000123703 0.00740261 0.652962 105.018. 689
194 0.000132077 0.00740261 0.66298 94.0851. 991
195 0.000116146 0.00740261 0.669464 97.1255. 1215
196 0.000149136 0.00740261 0.672497 100.425. 740
197 0.000125424 0.00740261 0.67969 100.988. 820
198 9.2974e-05 0.00740261 0.682842 100.096. 858
199 0.00010642 0.00740261 0.667256 95.9289. 859
200 0.000126849 0.00740261 0.674574 89.3173. 1455
201 0.000160011 0.00740261 0.652659 103.315. 462
202 6.90773e-05 0.0103637 0.696191 105.032. 341
203 7.57369e-05 0.0103637 0.693269 91.0336. 459
204 5.95909e-05 0.0103637 0.712521 74.0894. 1033
205 4.89834e-05 0.0103637 0.705441 77.0829. 794
206 8.55427e-05 0.0103637 0.706556 84.9413. 770
207 6.69145e-05 0.0103637 0.694754 103.909. 501
208 8.78648e-05 0.0103637 0.697778 88.0771. 1023
209 4.89849e-05 0.0103637 0.693094 93.4708. 847
210 7.05473e-05 0.0103637 0.698525 83.1573. 1650
211 6.45204e-05 0.0103637 0.703132 80.9548. 760
212 8.39504e-05 0.0103637 0.693773 78.1902. 1161
213 8.95153e-05 0.0103637 0.703214 84.7296. 755
214 8.94125e-05 0.0103637 0.683541 94.4156. 468
215 7.65955e-05 0.0103637 0.699209 84.0696. 618
216 8.48235e-05 0.0103637 0.694151 83.4435. 893
217 9.25653e-05 0.0103637 0.696425 88.5741. 486
218 8.37081e-05 0.0103637 0.705391 77.5017. 773
219 9.46274e-05 0.0103637 0.701869 82.8934. 558
220 5.84861e-05 0.0103637 0.696648 89.5173. 466
221 9.22039e-05 0.0103637 0.712275 92.6297. 329
222 0.00012461 0.0103637 0.683813 88.5844. 399
223 7.19627e-05 0.0103637 0.700576 82.1173. 915
224 7.32875e-05 0.0103637 0.710566 73.2. 1200
225 5.93684e-05 0.0103637 0.688111 84.76. 694
226 5.17231e-05 0.0103637 0.692695 73.4001. 1904
227 4.92345e-05 0.0103637 0.697164 92.3227. 651
228 5.09248e-05 0.0103637 0.705689 84.2123. 838
229 5.77824e-05 0.0103637 0.695727 84.2583. 934
230 6.0101e-05 0.0103637 0.708621 78.5571. 890
231 7.71719e-05 0.0103637 0.691677 89.2675. 413
232 6.55075e-05 0.0103637 0.713333 81.8836. 698
233 0.000101797 0.0103637 0.703862 83.885. 976
234 7.79595e-05 0.0103637 0.698338 91.469. 560
235 0.000105659 0.0103637 0.696847 81.0534. 567
236 8.72629e-05 0.0103637 0.704344 90.3739. 964
237 8.31702e-05 0.0103637 0.697422 85.6114. 1014
238 8.6789e-05 0.0103637 0.698602 91.687. 521
239 7.10164e-05 0.0103637 0.7117 90.1008. 429
240 0.000101594 0.0103637 0.702448 89.7677. 515
241 0.000103224 0.0103637 0.692531 79.4512. 1146
242 8.97257e-05 0.0103637 0.700891 86.5543. 643
243 8.25712e-05 0.0103637 0.703818 88.7329. 628
244 7.03787e-05 0.0103637 0.702183 91.8764. 620
245 5.56783e-05 0.0103637 0.695291 85.9747. 514
246 9.51288e-05 0.0103637 0.705779 82.843. 486
247 7.92477e-05 0.0103637 0.699163 83.5281. 450
248 7.05724e-05 0.0103637 0.698192 78.0961. 1108
249 3.93866e-05 0.0103637 0.690332 104.49. 396
250 8.71878e-05 0.0103637 0.69152 88.2734. 576
251 8.24219e-05 0.0103637 0.69624 102.032. 365
252 0.000124221 0.0103637 0.691391 85.7869. 626
253 5.84913e-05 0.0103637 0.68327 90.7034. 538
254 8.13743e-05 0.0103637 0.708162 89.582. 517
255 8.26589e-05 0.0103637 0.697338 83.1789. 776
256 7.39471e-05 0.0103637 0.723246 75.4405. 980
257 5.31401e-05 0.0103637 0.700546 79.2881. 688
258 7.2695e-05 0.0103637 0.701524 86.13. 655
259 5.20609e-05 0.0103637 0.708881 85.3256. 544
260 8.70549e-05 0.0103637 0.694314 83.3977. 1043
261 8.10432e-05 0.0103637 0.698992 84.789. 346
262 7.37989e-05 0.0103637 0.701496 88.6137. 628
263 8.71038e-05 0.0103637 0.699252 82.1479. 722
264 5.45338e-05 0.0103637 0.698811 75.152. 1091
265 8.03217e-05 0.0103637 0.705705 82.7487. 520
266 5.41156e-05 0.0103637 0.709819 84.791. 563
267 5.61967e-05 0.0103637 0.699009 93.4055. 421
268 9.10031e-05 0.0103637 0.71564 74.1192. 1174
269 8.14274e-05 0.0103637 0.720275 83.2161. 659
270 5.95189e-05 0.0103637 0.695324 94.8049. 409
271 9.35358e-05 0.0103637 0.69516 72.2744. 940
272 9.20895e-05 0.0103637 0.702738 93.935. 271
273 5.44486e-05 0.0103637 0.700355 96.7835. 658
274 8.01134e-05 0.0103637 0.709106 86.4099. 837
275 0.000126472 0.0103637 0.717211 87.3714. 238
276 9.41776e-05 0.0103637 0.69913 77.0284. 825
277 9.04576e-05 0.0103637 0.68161 74.9314. 905
278 5.60715e-05 0.0103637 0.693052 87.7317. 586
279 5.48228e-05 0.0103637 0.701331 91.005. 426
280 7.2926e-05 0.0103637 0.710403 76.2978. 988
281 7.8762e-05 0.0103637 0.688174 84.0268. 1029
282 6.12664e-05 0.0103637 0.68999 82.958. 723
283 7.71916e-05 0.0103637 0.704695 80.859. 877
284 6.14353e-05 0.0103637 0.72228 78.3619. 827
285 0.000117261 0.0103637 0.697211 87.6379. 627
286 6.42763e-05 0.0103637 0.701242 82.0693. 796
287 5.84661e-05 0.0103637 0.701132 75.4678. 1262
288 3.73013e-05 0.0103637 0.693116 85.7208. 677
289 7.05513e-05 0.0103637 0.722625 78.6163. 860
290 5.73876e-05 0.0103637 0.706571 97.2452. 392
291 7.54649e-05 0.0103637 0.702395 80.0625. 810
292 5.35854e-05 0.0103637 0.706181 85.7072. 755
293 8.22107e-05 0.0103637 0.700251 75.0646. 1089
294 7.8252e-05 0.0103637 0.684139 82.1324. 773
295 8.1221e-05 0.0103637 0.691527 90.3791. 611
296 0.000110163 0.0103637 0.702362 99.9413. 506
297 5.54961e-05 0.0103637 0.709284 72.5502. 882
298 7.37375e-05 0.0103637 0.696269 83.4268. 761
299 8.96068e-05 0.0103637 0.707139 87.4954. 393
300 5.39211e-05 0.0103637 0.696067 83.3203. 762
301 7.70122e-05 0.0103637 0.702879 91.7128. 613

184
dokumentation/evolution3d/Xx4x4.gnuplot.fit.log Normal file
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@ -0,0 +1,184 @@
*******************************************************************************
Mon Oct 16 12:15:22 2017
FIT: data read from "Xx4x4.csv" every ::1 using 1:5
format = x:z
#datapoints = 300
residuals are weighted equally (unit weight)
function used for fitting: f(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 6.81227e+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 : 1.42477e+08
rel. change during last iteration : -4.36753e-13
degrees of freedom (FIT_NDF) : 298
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 691.456
variance of residuals (reduced chisquare) = WSSR/ndf : 478111
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = -1.13401e+07 +/- 1.169e+06 (10.31%)
b = 2295.89 +/- 111.7 (4.866%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.934 1.000
*******************************************************************************
Mon Oct 16 12:15:22 2017
FIT: data read from "Xx4x4.csv" every ::1 using 3:5
format = x:z
#datapoints = 300
residuals are weighted equally (unit weight)
function used for fitting: g(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 6.80731e+08 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.848453
initial set of free parameter values
aa = 1
bb = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 7.54457e+07
rel. change during last iteration : -4.78216e-11
degrees of freedom (FIT_NDF) : 298
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 503.163
variance of residuals (reduced chisquare) = WSSR/ndf : 253173
Final set of parameters Asymptotic Standard Error
======================= ==========================
aa = -17310 +/- 823 (4.754%)
bb = 12746.5 +/- 545.7 (4.282%)
correlation matrix of the fit parameters:
aa bb
aa 1.000
bb -0.999 1.000
*******************************************************************************
Mon Oct 16 12:15:22 2017
FIT: data read from "Xx4x4.csv" every ::1 using 3:4
format = x:z
#datapoints = 300
residuals are weighted equally (unit weight)
function used for fitting: h(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 3.08678e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.848453
initial set of free parameter values
aaa = 1
bbb = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 12619.9
rel. change during last iteration : -1.72365e-10
degrees of freedom (FIT_NDF) : 298
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.50758
variance of residuals (reduced chisquare) = WSSR/ndf : 42.3486
Final set of parameters Asymptotic Standard Error
======================= ==========================
aaa = -392.375 +/- 10.64 (2.713%)
bbb = 361.762 +/- 7.058 (1.951%)
correlation matrix of the fit parameters:
aaa bbb
aaa 1.000
bbb -0.999 1.000
*******************************************************************************
Mon Oct 16 12:15:22 2017
FIT: data read from "Xx4x4.csv" every ::1 using 2:4
format = x:z
#datapoints = 300
residuals are weighted equally (unit weight)
function used for fitting: i(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 3.126e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.70713
initial set of free parameter values
aaaa = 1
bbbb = 1
After 5 iterations the fit converged.
final sum of squares of residuals : 15806.2
rel. change during last iteration : -1.2249e-09
degrees of freedom (FIT_NDF) : 298
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.28292
variance of residuals (reduced chisquare) = WSSR/ndf : 53.0409
Final set of parameters Asymptotic Standard Error
======================= ==========================
aaaa = -7290.04 +/- 227.7 (3.124%)
bbbb = 159.497 +/- 1.847 (1.158%)
correlation matrix of the fit parameters:
aaaa bbbb
aaaa 1.000
bbbb -0.974 1.000

348
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Iteration 0
WSSR : 6.81227e+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 : 1.87451e+08 delta(WSSR)/WSSR : -2.63417
delta(WSSR) : -4.93777e+08 limit for stopping : 1e-05
lambda : 0.0707107
resultant parameter values
a = -6.81725
b = 1281.8
/
Iteration 2
WSSR : 1.87443e+08 delta(WSSR)/WSSR : -4.08514e-05
delta(WSSR) : -7657.32 limit for stopping : 1e-05
lambda : 0.00707107
resultant parameter values
a = -799.916
b = 1284.01
/
Iteration 3
WSSR : 1.86821e+08 delta(WSSR)/WSSR : -0.0033319
delta(WSSR) : -622468 limit for stopping : 1e-05
lambda : 0.000707107
resultant parameter values
a = -79558.9
b = 1291.04
/
Iteration 4
WSSR : 1.57831e+08 delta(WSSR)/WSSR : -0.183673
delta(WSSR) : -2.89894e+07 limit for stopping : 1e-05
lambda : 7.07107e-05
resultant parameter values
a = -4.71402e+06
b = 1704.6
/
Iteration 5
WSSR : 1.4248e+08 delta(WSSR)/WSSR : -0.107743
delta(WSSR) : -1.53512e+07 limit for stopping : 1e-05
lambda : 7.07107e-06
resultant parameter values
a = -1.12467e+07
b = 2287.56
/
Iteration 6
WSSR : 1.42477e+08 delta(WSSR)/WSSR : -2.14129e-05
delta(WSSR) : -3050.84 limit for stopping : 1e-05
lambda : 7.07107e-07
resultant parameter values
a = -1.13401e+07
b = 2295.89
/
Iteration 7
WSSR : 1.42477e+08 delta(WSSR)/WSSR : -4.36753e-13
delta(WSSR) : -6.22272e-05 limit for stopping : 1e-05
lambda : 7.07107e-08
resultant parameter values
a = -1.13401e+07
b = 2295.89
After 7 iterations the fit converged.
final sum of squares of residuals : 1.42477e+08
rel. change during last iteration : -4.36753e-13
degrees of freedom (FIT_NDF) : 298
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 691.456
variance of residuals (reduced chisquare) = WSSR/ndf : 478111
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = -1.13401e+07 +/- 1.169e+06 (10.31%)
b = 2295.89 +/- 111.7 (4.866%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.934 1.000
Iteration 0
WSSR : 6.80731e+08 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.848453
initial set of free parameter values
aa = 1
bb = 1
/
Iteration 1
WSSR : 1.40112e+08 delta(WSSR)/WSSR : -3.85847
delta(WSSR) : -5.40618e+08 limit for stopping : 1e-05
lambda : 0.0848453
resultant parameter values
aa = -4159.97
bb = 4028.97
/
Iteration 2
WSSR : 7.54927e+07 delta(WSSR)/WSSR : -0.855972
delta(WSSR) : -6.46196e+07 limit for stopping : 1e-05
lambda : 0.00848453
resultant parameter values
aa = -16955.4
bb = 12511.5
/
Iteration 3
WSSR : 7.54457e+07 delta(WSSR)/WSSR : -0.000623127
delta(WSSR) : -47012.2 limit for stopping : 1e-05
lambda : 0.000848453
resultant parameter values
aa = -17309.9
bb = 12746.4
/
Iteration 4
WSSR : 7.54457e+07 delta(WSSR)/WSSR : -4.78216e-11
delta(WSSR) : -0.00360793 limit for stopping : 1e-05
lambda : 8.48453e-05
resultant parameter values
aa = -17310
bb = 12746.5
After 4 iterations the fit converged.
final sum of squares of residuals : 7.54457e+07
rel. change during last iteration : -4.78216e-11
degrees of freedom (FIT_NDF) : 298
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 503.163
variance of residuals (reduced chisquare) = WSSR/ndf : 253173
Final set of parameters Asymptotic Standard Error
======================= ==========================
aa = -17310 +/- 823 (4.754%)
bb = 12746.5 +/- 545.7 (4.282%)
correlation matrix of the fit parameters:
aa bb
aa 1.000
bb -0.999 1.000
Iteration 0
WSSR : 3.08678e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.848453
initial set of free parameter values
aaa = 1
bbb = 1
/
Iteration 1
WSSR : 51615.8 delta(WSSR)/WSSR : -58.8031
delta(WSSR) : -3.03517e+06 limit for stopping : 1e-05
lambda : 0.0848453
resultant parameter values
aaa = -69.5385
bbb = 147.63
/
Iteration 2
WSSR : 12648.2 delta(WSSR)/WSSR : -3.08087
delta(WSSR) : -38967.5 limit for stopping : 1e-05
lambda : 0.00848453
resultant parameter values
aaa = -383.668
bbb = 355.991
/
Iteration 3
WSSR : 12619.9 delta(WSSR)/WSSR : -0.002246
delta(WSSR) : -28.3443 limit for stopping : 1e-05
lambda : 0.000848453
resultant parameter values
aaa = -392.373
bbb = 361.76
/
Iteration 4
WSSR : 12619.9 delta(WSSR)/WSSR : -1.72365e-10
delta(WSSR) : -2.17523e-06 limit for stopping : 1e-05
lambda : 8.48453e-05
resultant parameter values
aaa = -392.375
bbb = 361.762
After 4 iterations the fit converged.
final sum of squares of residuals : 12619.9
rel. change during last iteration : -1.72365e-10
degrees of freedom (FIT_NDF) : 298
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.50758
variance of residuals (reduced chisquare) = WSSR/ndf : 42.3486
Final set of parameters Asymptotic Standard Error
======================= ==========================
aaa = -392.375 +/- 10.64 (2.713%)
bbb = 361.762 +/- 7.058 (1.951%)
correlation matrix of the fit parameters:
aaa bbb
aaa 1.000
bbb -0.999 1.000
Iteration 0
WSSR : 3.126e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.70713
initial set of free parameter values
aaaa = 1
bbbb = 1
/
Iteration 1
WSSR : 69982.9 delta(WSSR)/WSSR : -43.668
delta(WSSR) : -3.05601e+06 limit for stopping : 1e-05
lambda : 0.070713
resultant parameter values
aaaa = -13.0902
bbbb = 101.869
/
Iteration 2
WSSR : 53138.8 delta(WSSR)/WSSR : -0.316984
delta(WSSR) : -16844.1 limit for stopping : 1e-05
lambda : 0.0070713
resultant parameter values
aaaa = -1248.87
bbbb = 111.795
/
Iteration 3
WSSR : 15887.3 delta(WSSR)/WSSR : -2.34474
delta(WSSR) : -37251.5 limit for stopping : 1e-05
lambda : 0.00070713
resultant parameter values
aaaa = -7008.48
bbbb = 157.274
/
Iteration 4
WSSR : 15806.2 delta(WSSR)/WSSR : -0.00513056
delta(WSSR) : -81.0945 limit for stopping : 1e-05
lambda : 7.0713e-05
resultant parameter values
aaaa = -7289.9
bbbb = 159.496
/
Iteration 5
WSSR : 15806.2 delta(WSSR)/WSSR : -1.2249e-09
delta(WSSR) : -1.9361e-05 limit for stopping : 1e-05
lambda : 7.0713e-06
resultant parameter values
aaaa = -7290.04
bbbb = 159.497
After 5 iterations the fit converged.
final sum of squares of residuals : 15806.2
rel. change during last iteration : -1.2249e-09
degrees of freedom (FIT_NDF) : 298
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.28292
variance of residuals (reduced chisquare) = WSSR/ndf : 53.0409
Final set of parameters Asymptotic Standard Error
======================= ==========================
aaaa = -7290.04 +/- 227.7 (3.124%)
bbbb = 159.497 +/- 1.847 (1.158%)
correlation matrix of the fit parameters:
aaaa bbbb
aaaa 1.000
bbbb -0.974 1.000

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set datafile separator ","
f(x)=a*x+b
fit f(x) "Xx4x4.csv" every ::1 using 1:5 via a,b
set terminal png
set xlabel 'regularity'
set ylabel 'steps'
set output "Xx4x4_regularity-vs-steps.png"
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 1:5 title "4x4x4", "20171013_3dFit_5x4x4_100times.csv" every ::1 using 1:5 title "5x4x4", "20171005_3dFit_7x4x4_100times.csv" every ::1 using 1:5 title "7x4x4", f(x) title "lin. fit" lc rgb "black"
g(x)=aa*x+bb
fit g(x) "Xx4x4.csv" every ::1 using 3:5 via aa,bb
set xlabel 'improvement potential'
set ylabel 'steps'
set output "Xx4x4_improvement-vs-steps.png"
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:5 title "4x4x4", "20171013_3dFit_5x4x4_100times.csv" every ::1 using 3:5 title "5x4x4", "20171005_3dFit_7x4x4_100times.csv" every ::1 using 3:5 title "7x4x4", g(x) title "lin. fit" lc rgb "black"
h(x)=aaa*x+bbb
fit h(x) "Xx4x4.csv" every ::1 using 3:4 via aaa,bbb
set xlabel 'improvement potential'
set ylabel 'evolution error'
set output "Xx4x4_improvement-vs-evo-error.png"
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:4 title "4x4x4", "20171013_3dFit_5x4x4_100times.csv" every ::1 using 3:4 title "5x4x4", "20171005_3dFit_7x4x4_100times.csv" every ::1 using 3:4 title "7x4x4", h(x) title "lin. fit" lc rgb "black"
i(x)=aaaa*x+bbbb
fit i(x) "Xx4x4.csv" every ::1 using 2:4 via aaaa,bbbb
set xlabel 'variability'
set ylabel 'evolution error'
set output "Xx4x4_variability-vs-evo-error.png"
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 2:4 title "4x4x4", "20171013_3dFit_5x4x4_100times.csv" every ::1 using 2:4 title "5x4x4", "20171005_3dFit_7x4x4_100times.csv" every ::1 using 2:4 title "7x4x4", i(x) title "lin. fit" lc rgb "black"

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28
dokumentation/evolution3d/combine.sh
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@ -14,10 +14,9 @@ set xlabel 'regularity'
set ylabel 'steps'
set output "${png}_regularity-vs-steps.png"
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", \
"$2" every ::1 using 1:5 title "$3", \
"$4" every ::1 using 1:5 title "$5", \
"$6" every ::1 using 1:5 title "$7", \
f(x) title "lin. fit" lc rgb "black"
g(x)=aa*x+bb
fit g(x) "$data" every ::1 using 3:5 via aa,bb
@ -25,10 +24,9 @@ set xlabel 'improvement potential'
set ylabel 'steps'
set output "${png}_improvement-vs-steps.png"
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", \
"$2" every ::1 using 3:5 title "$3", \
"$4" every ::1 using 3:5 title "$5", \
"$6" every ::1 using 3:5 title "$7", \
g(x) title "lin. fit" lc rgb "black"
h(x)=aaa*x+bbb
fit h(x) "$data" every ::1 using 3:4 via aaa,bbb
@ -36,10 +34,9 @@ set xlabel 'improvement potential'
set ylabel 'evolution error'
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", \
"$4" every ::1 using 3:4 title "$4", \
"$5" every ::1 using 3:4 title "$5", \
"$2" every ::1 using 3:4 title "$3", \
"$4" every ::1 using 3:4 title "$5", \
"$6" every ::1 using 3:4 title "$7", \
h(x) title "lin. fit" lc rgb "black"
i(x)=aaaa*x+bbbb
fit i(x) "$data" every ::1 using 2:4 via aaaa,bbbb
@ -47,10 +44,9 @@ 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", \
"$2" every ::1 using 2:4 title "$3", \
"$4" every ::1 using 2:4 title "$5", \
"$6" every ::1 using 2:4 title "$7", \
i(x) title "lin. fit" lc rgb "black"
EOD
) > "${png}.gnuplot.script"