added evolution3d

dokumentation/evolution3d/20170926_3dFit_4x4x4_100times.csv

@@ -0,0 +1,101 @@
+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

dokumentation/evolution3d/20170926_3dFit_4x4x4_100times.gnuplot.fit.log

@@ -0,0 +1,138 @@
+
+
+*******************************************************************************
+Wed Sep 27 11:56:04 2017
+
+
+FIT:    data read from "20170926_3dFit_4x4x4_100times.csv" every ::1 using 1:5
+        format = x:z
+        #datapoints = 100
+        residuals are weighted equally (unit weight)
+
+function used for fitting: f(x)
+fitted parameters initialized with current variable values
+
+
+
+ Iteration 0
+ WSSR        : 5.3712e+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 : 2.31113e+07
+rel. change during last iteration : -1.94885e-06
+
+degrees of freedom    (FIT_NDF)                        : 98
+rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 485.622
+variance of residuals (reduced chisquare) = WSSR/ndf   : 235829
+
+Final set of parameters            Asymptotic Standard Error
+=======================            ==========================
+
+a               = -2.48881e+07     +/- 6.082e+06    (24.44%)
+b               = 3784.57          +/- 375.9        (9.931%)
+
+
+correlation matrix of the fit parameters:
+
+               a      b      
+a               1.000 
+b              -0.992  1.000 
+
+
+*******************************************************************************
+Wed Sep 27 11:56:04 2017
+
+
+FIT:    data read from "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:5
+        format = x:z
+        #datapoints = 100
+        residuals are weighted equally (unit weight)
+
+function used for fitting: g(x)
+fitted parameters initialized with current variable values
+
+
+
+ Iteration 0
+ WSSR        : 5.3684e+08        delta(WSSR)/WSSR   : 0
+ delta(WSSR) : 0                 limit for stopping : 1e-05
+ lambda	  : 0.831115
+
+initial set of free parameter values
+
+aa              = 1
+bb              = 1
+
+After 4 iterations the fit converged.
+final sum of squares of residuals : 2.25731e+07
+rel. change during last iteration : -7.03747e-06
+
+degrees of freedom    (FIT_NDF)                        : 98
+rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 479.935
+variance of residuals (reduced chisquare) = WSSR/ndf   : 230338
+
+Final set of parameters            Asymptotic Standard Error
+=======================            ==========================
+
+aa              = 23500.6          +/- 5325         (22.66%)
+bb              = -12254.4         +/- 3289         (26.84%)
+
+
+correlation matrix of the fit parameters:
+
+               aa     bb     
+aa              1.000 
+bb             -1.000  1.000 
+
+
+*******************************************************************************
+Wed Sep 27 11:56:04 2017
+
+
+FIT:    data read from "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:4
+        format = x:z
+        #datapoints = 100
+        residuals are weighted equally (unit weight)
+
+function used for fitting: h(x)
+fitted parameters initialized with current variable values
+
+
+
+ Iteration 0
+ WSSR        : 1.38452e+06       delta(WSSR)/WSSR   : 0
+ delta(WSSR) : 0                 limit for stopping : 1e-05
+ lambda	  : 0.831115
+
+initial set of free parameter values
+
+aaa             = 1
+bbb             = 1
+
+After 5 iterations the fit converged.
+final sum of squares of residuals : 1849.66
+rel. change during last iteration : -2.46715e-13
+
+degrees of freedom    (FIT_NDF)                        : 98
+rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 4.34443
+variance of residuals (reduced chisquare) = WSSR/ndf   : 18.8741
+
+Final set of parameters            Asymptotic Standard Error
+=======================            ==========================
+
+aaa             = -271.314         +/- 48.2         (17.77%)
+bbb             = 286.74           +/- 29.77        (10.38%)
+
+
+correlation matrix of the fit parameters:
+
+               aaa    bbb    
+aaa             1.000 
+bbb            -1.000  1.000 

dokumentation/evolution3d/20170926_3dFit_4x4x4_100times.gnuplot.log

@@ -0,0 +1,272 @@
+
+
+ Iteration 0
+ WSSR        : 5.3712e+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        : 2.70726e+07       delta(WSSR)/WSSR   : -18.84
+ delta(WSSR) : -5.10047e+08      limit for stopping : 1e-05
+ lambda	  : 0.0707107
+
+resultant parameter values
+
+a               = 0.820391
+b               = 2248.21
+/
+
+ Iteration 2
+ WSSR        : 2.70599e+07       delta(WSSR)/WSSR   : -0.000466926
+ delta(WSSR) : -12635            limit for stopping : 1e-05
+ lambda	  : 0.00707107
+
+resultant parameter values
+
+a               = -30.91
+b               = 2259.45
+/
+
+ Iteration 3
+ WSSR        : 2.70589e+07       delta(WSSR)/WSSR   : -3.7204e-05
+ delta(WSSR) : -1006.7           limit for stopping : 1e-05
+ lambda	  : 0.000707107
+
+resultant parameter values
+
+a               = -3203.66
+b               = 2259.65
+/
+
+ Iteration 4
+ WSSR        : 2.69602e+07       delta(WSSR)/WSSR   : -0.00366358
+ delta(WSSR) : -98770.7          limit for stopping : 1e-05
+ lambda	  : 7.07107e-05
+
+resultant parameter values
+
+a               = -316485
+b               = 2278.84
+/
+
+ Iteration 5
+ WSSR        : 2.38549e+07       delta(WSSR)/WSSR   : -0.130172
+ delta(WSSR) : -3.10523e+06      limit for stopping : 1e-05
+ lambda	  : 7.07107e-06
+
+resultant parameter values
+
+a               = -1.40873e+07
+b               = 3122.7
+/
+
+ Iteration 6
+ WSSR        : 2.31113e+07       delta(WSSR)/WSSR   : -0.0321763
+ delta(WSSR) : -743637           limit for stopping : 1e-05
+ lambda	  : 7.07107e-07
+
+resultant parameter values
+
+a               = -2.48041e+07
+b               = 3779.42
+/
+
+ Iteration 7
+ WSSR        : 2.31113e+07       delta(WSSR)/WSSR   : -1.94885e-06
+ delta(WSSR) : -45.0403          limit for stopping : 1e-05
+ lambda	  : 7.07107e-08
+
+resultant parameter values
+
+a               = -2.48881e+07
+b               = 3784.57
+
+After 7 iterations the fit converged.
+final sum of squares of residuals : 2.31113e+07
+rel. change during last iteration : -1.94885e-06
+
+degrees of freedom    (FIT_NDF)                        : 98
+rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 485.622
+variance of residuals (reduced chisquare) = WSSR/ndf   : 235829
+
+Final set of parameters            Asymptotic Standard Error
+=======================            ==========================
+
+a               = -2.48881e+07     +/- 6.082e+06    (24.44%)
+b               = 3784.57          +/- 375.9        (9.931%)
+
+
+correlation matrix of the fit parameters:
+
+               a      b      
+a               1.000 
+b              -0.992  1.000 
+
+
+ Iteration 0
+ WSSR        : 5.3684e+08        delta(WSSR)/WSSR   : 0
+ delta(WSSR) : 0                 limit for stopping : 1e-05
+ lambda	  : 0.831115
+
+initial set of free parameter values
+
+aa              = 1
+bb              = 1
+/
+
+ Iteration 1
+ WSSR        : 2.66259e+07       delta(WSSR)/WSSR   : -19.1623
+ delta(WSSR) : -5.10214e+08      limit for stopping : 1e-05
+ lambda	  : 0.0831115
+
+resultant parameter values
+
+aa              = 1195.65
+bb              = 1510.59
+/
+
+ Iteration 2
+ WSSR        : 2.37518e+07       delta(WSSR)/WSSR   : -0.121004
+ delta(WSSR) : -2.87407e+06      limit for stopping : 1e-05
+ lambda	  : 0.00831115
+
+resultant parameter values
+
+aa              = 11455.6
+bb              = -4815.03
+/
+
+ Iteration 3
+ WSSR        : 2.25733e+07       delta(WSSR)/WSSR   : -0.0522096
+ delta(WSSR) : -1.17854e+06      limit for stopping : 1e-05
+ lambda	  : 0.000831115
+
+resultant parameter values
+
+aa              = 23360.8
+bb              = -12168
+/
+
+ Iteration 4
+ WSSR        : 2.25731e+07       delta(WSSR)/WSSR   : -7.03747e-06
+ delta(WSSR) : -158.858          limit for stopping : 1e-05
+ lambda	  : 8.31115e-05
+
+resultant parameter values
+
+aa              = 23500.6
+bb              = -12254.4
+
+After 4 iterations the fit converged.
+final sum of squares of residuals : 2.25731e+07
+rel. change during last iteration : -7.03747e-06
+
+degrees of freedom    (FIT_NDF)                        : 98
+rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 479.935
+variance of residuals (reduced chisquare) = WSSR/ndf   : 230338
+
+Final set of parameters            Asymptotic Standard Error
+=======================            ==========================
+
+aa              = 23500.6          +/- 5325         (22.66%)
+bb              = -12254.4         +/- 3289         (26.84%)
+
+
+correlation matrix of the fit parameters:
+
+               aa     bb     
+aa              1.000 
+bb             -1.000  1.000 
+
+
+ Iteration 0
+ WSSR        : 1.38452e+06       delta(WSSR)/WSSR   : 0
+ delta(WSSR) : 0                 limit for stopping : 1e-05
+ lambda	  : 0.831115
+
+initial set of free parameter values
+
+aaa             = 1
+bbb             = 1
+/
+
+ Iteration 1
+ WSSR        : 2726.89           delta(WSSR)/WSSR   : -506.728
+ delta(WSSR) : -1.38179e+06      limit for stopping : 1e-05
+ lambda	  : 0.0831115
+
+resultant parameter values
+
+aaa             = 50.5512
+bbb             = 87.3622
+/
+
+ Iteration 2
+ WSSR        : 2095.61           delta(WSSR)/WSSR   : -0.301239
+ delta(WSSR) : -631.281          limit for stopping : 1e-05
+ lambda	  : 0.00831115
+
+resultant parameter values
+
+aaa             = -97.3216
+bbb             = 179.278
+/
+
+ Iteration 3
+ WSSR        : 1849.69           delta(WSSR)/WSSR   : -0.13295
+ delta(WSSR) : -245.917          limit for stopping : 1e-05
+ lambda	  : 0.000831115
+
+resultant parameter values
+
+aaa             = -269.294
+bbb             = 285.493
+/
+
+ Iteration 4
+ WSSR        : 1849.66           delta(WSSR)/WSSR   : -1.79209e-05
+ delta(WSSR) : -0.0331476        limit for stopping : 1e-05
+ lambda	  : 8.31115e-05
+
+resultant parameter values
+
+aaa             = -271.313
+bbb             = 286.74
+/
+
+ Iteration 5
+ WSSR        : 1849.66           delta(WSSR)/WSSR   : -2.46715e-13
+ delta(WSSR) : -4.56339e-10      limit for stopping : 1e-05
+ lambda	  : 8.31115e-06
+
+resultant parameter values
+
+aaa             = -271.314
+bbb             = 286.74
+
+After 5 iterations the fit converged.
+final sum of squares of residuals : 1849.66
+rel. change during last iteration : -2.46715e-13
+
+degrees of freedom    (FIT_NDF)                        : 98
+rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 4.34443
+variance of residuals (reduced chisquare) = WSSR/ndf   : 18.8741
+
+Final set of parameters            Asymptotic Standard Error
+=======================            ==========================
+
+aaa             = -271.314         +/- 48.2         (17.77%)
+bbb             = 286.74           +/- 29.77        (10.38%)
+
+
+correlation matrix of the fit parameters:
+
+               aaa    bbb    
+aaa             1.000 
+bbb            -1.000  1.000 

dokumentation/evolution3d/20170926_3dFit_4x4x4_100times.gnuplot.script

@@ -0,0 +1,14 @@
+set datafile separator ","
+f(x)=a*x+b
+fit f(x) "20170926_3dFit_4x4x4_100times.csv" every ::1 using 1:5 via a,b
+set terminal png
+set output "20170926_3dFit_4x4x4_100times_regularity-vs-steps.png"
+plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 1:5 title "regularity vs. steps", f(x) lc rgb "black"
+g(x)=aa*x+bb
+fit g(x) "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:5 via aa,bb
+set output "20170926_3dFit_4x4x4_100times_improvement-vs-steps.png"
+plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:5 title "improvement potential vs. steps", g(x) lc rgb "black"
+h(x)=aaa*x+bbb
+fit h(x) "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:4 via aaa,bbb
+set output "20170926_3dFit_4x4x4_100times_improvement-vs-evo-error.png"
+plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:4 title "improvement potential vs. evolution error", h(x) lc rgb "black"

dokumentation/evolution3d/20170926_3dFit_5x5x5_100times.csv

@@ -0,0 +1,101 @@
+regularity,variability,improvement,"Evolution error",steps
+7.0689e-05,0.0115666,0.73748,73.9627.,781
+8.30021e-05,0.0115666,0.733986,79.3303.,965
+0.000115663,0.0115666,0.754351,72.8373.,1029
+0.000115101,0.0115666,0.761361,60.0032.,1435
+0.000130222,0.0115666,0.760933,80.1321.,1189
+0.000134453,0.0115666,0.765,66.1526.,1209
+0.000108858,0.0115666,0.741158,74.6032.,940
+0.000100633,0.0115666,0.742555,71.3161.,874
+9.22496e-05,0.0115666,0.750011,71.9377.,1407
+7.41514e-05,0.0115666,0.742094,70.127.,1525
+0.000149467,0.0115666,0.75484,61.7195.,1705
+0.000168885,0.0115666,0.73862,86.6101.,593
+0.000122462,0.0115666,0.731222,77.235.,770
+0.000117266,0.0115666,0.757041,70.3058.,1136
+0.000119127,0.0115666,0.747804,73.3268.,890
+0.000124455,0.0115666,0.748928,72.8603.,743
+9.47125e-05,0.0115666,0.738797,70.5867.,1935
+7.9171e-05,0.0115666,0.741438,79.8851.,1007
+9.00926e-05,0.0115666,0.729562,89.169.,854
+9.71306e-05,0.0115666,0.73793,86.3505.,849
+0.000113959,0.0115666,0.738424,77.8282.,842
+0.000108279,0.0115666,0.755674,70.418.,1942
+6.42834e-05,0.0115666,0.740169,82.3889.,861
+8.8094e-05,0.0115666,0.737385,80.3257.,902
+8.57496e-05,0.0115666,0.731752,85.6612.,649
+7.97196e-05,0.0115666,0.764609,76.2377.,671
+0.000107926,0.0115666,0.747697,76.8062.,905
+5.63544e-05,0.0115666,0.740041,75.0253.,1091
+0.000127036,0.0115666,0.746509,73.6296.,1218
+8.93177e-05,0.0115666,0.750775,71.8145.,1018
+7.13592e-05,0.0115666,0.746741,82.1172.,1052
+0.000121511,0.0115666,0.747184,68.4228.,1322
+0.000154913,0.0115666,0.736936,74.5628.,937
+0.000120138,0.0115666,0.75356,82.4297.,698
+5.97068e-05,0.0115666,0.744391,74.6568.,952
+0.000104185,0.0115666,0.7341,76.5874.,1223
+0.000123751,0.0115666,0.735266,82.2821.,715
+0.000108341,0.0115666,0.744947,71.321.,1058
+9.75329e-05,0.0115666,0.746476,80.1887.,1033
+6.51759e-05,0.0115666,0.754359,60.0022.,3631
+9.35949e-05,0.0115666,0.733867,73.5674.,1300
+8.56673e-05,0.0115666,0.744773,68.7547.,1081
+7.41782e-05,0.0115666,0.754371,97.4154.,907
+0.000111943,0.0115666,0.749778,81.1639.,1013
+8.48407e-05,0.0115666,0.726201,82.2747.,473
+6.14894e-05,0.0115666,0.746102,70.415.,938
+6.76652e-05,0.0115666,0.736705,72.564.,881
+9.73343e-05,0.0115666,0.754973,70.1961.,1019
+9.54201e-05,0.0115666,0.718442,83.8507.,762
+7.51464e-05,0.0115666,0.736317,82.3622.,646
+0.000105639,0.0115666,0.741073,74.3285.,1122
+0.000131041,0.0115666,0.735624,84.2108.,860
+0.000136142,0.0115666,0.754096,69.7744.,1124
+8.76576e-05,0.0115666,0.734191,82.1376.,889
+8.54651e-05,0.0115666,0.731117,74.2818.,715
+0.000121696,0.0115666,0.736555,78.989.,1029
+0.000124672,0.0115666,0.748948,82.2812.,939
+0.000135654,0.0115666,0.738358,74.0614.,1106
+7.8306e-05,0.0115666,0.73738,83.257.,390
+0.000117894,0.0115666,0.756543,72.454.,1223
+0.000107745,0.0115666,0.729775,71.9554.,1000
+0.000177142,0.0115666,0.733159,93.8159.,756
+0.000120879,0.0115666,0.752328,64.5602.,979
+0.000160079,0.0115666,0.737225,81.597.,836
+0.000108096,0.0115666,0.737118,74.8947.,802
+0.000104671,0.0115666,0.746382,71.937.,1625
+8.82439e-05,0.0115666,0.739388,82.8423.,728
+0.000128997,0.0115666,0.754149,66.0827.,1490
+0.0001338,0.0115666,0.751957,79.8222.,859
+0.000112858,0.0115666,0.745379,80.2208.,729
+0.000114923,0.0115666,0.749297,76.7288.,856
+7.53845e-05,0.0115666,0.748722,75.2866.,842
+7.55779e-05,0.0115666,0.77028,75.6383.,970
+8.87548e-05,0.0115666,0.743615,79.3073.,806
+8.4754e-05,0.0115666,0.760469,69.5742.,1140
+0.000129571,0.0115666,0.745269,76.4946.,975
+0.000110111,0.0115666,0.737088,92.7633.,599
+6.87804e-05,0.0115666,0.744389,83.3937.,775
+0.000101892,0.0115666,0.743134,83.8943.,728
+0.000105793,0.0115666,0.742164,73.5603.,1486
+0.000108123,0.0115666,0.751606,76.8801.,1162
+0.000109415,0.0115666,0.75257,70.703.,1264
+0.000118515,0.0115666,0.746588,69.1493.,1822
+0.000143603,0.0115666,0.762834,79.6539.,647
+8.09027e-05,0.0115666,0.74586,83.4016.,810
+8.85206e-05,0.0115666,0.719237,88.5801.,1201
+9.85622e-05,0.0115666,0.73017,85.8292.,843
+0.000116044,0.0115666,0.741297,72.5448.,1369
+0.000104403,0.0115666,0.737101,82.2857.,788
+0.000106433,0.0115666,0.741242,83.8247.,1129
+6.46802e-05,0.0115666,0.746106,78.3849.,497
+8.77417e-05,0.0115666,0.744569,84.6062.,810
+0.000103672,0.0115666,0.739614,75.7662.,1202
+7.23422e-05,0.0115666,0.742384,78.4256.,687
+7.63333e-05,0.0115666,0.740292,68.3999.,1707
+0.000167486,0.0115666,0.735526,72.1529.,1386
+8.76744e-05,0.0115666,0.736893,78.0544.,775
+7.8021e-05,0.0115666,0.740389,89.1144.,578
+7.86278e-05,0.0115666,0.722219,86.8059.,708
+0.000152359,0.0115666,0.740523,75.2054.,976

dokumentation/evolution3d/20170926_3dFit_5x5x5_100times.gnuplot.fit.log

@@ -0,0 +1,138 @@
+
+
+*******************************************************************************
+Wed Sep 27 22:04:33 2017
+
+
+FIT:    data read from "20170926_3dFit_5x5x5_100times.csv" every ::1 using 1:5
+        format = x:z
+        #datapoints = 100
+        residuals are weighted equally (unit weight)
+
+function used for fitting: f(x)
+fitted parameters initialized with current variable values
+
+
+
+ Iteration 0
+ WSSR        : 1.20736e+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 3 iterations the fit converged.
+final sum of squares of residuals : 1.62567e+07
+rel. change during last iteration : -1.45857e-06
+
+degrees of freedom    (FIT_NDF)                        : 98
+rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 407.29
+variance of residuals (reduced chisquare) = WSSR/ndf   : 165885
+
+Final set of parameters            Asymptotic Standard Error
+=======================            ==========================
+
+a               = 492.81           +/- 1.574e+06    (3.194e+05%)
+b               = 1023.1           +/- 167.9        (16.41%)
+
+
+correlation matrix of the fit parameters:
+
+               a      b      
+a               1.000 
+b              -0.970  1.000 
+
+
+*******************************************************************************
+Wed Sep 27 22:04:33 2017
+
+
+FIT:    data read from "20170926_3dFit_5x5x5_100times.csv" every ::1 using 3:5
+        format = x:z
+        #datapoints = 100
+        residuals are weighted equally (unit weight)
+
+function used for fitting: g(x)
+fitted parameters initialized with current variable values
+
+
+
+ Iteration 0
+ WSSR        : 1.20584e+08       delta(WSSR)/WSSR   : 0
+ delta(WSSR) : 0                 limit for stopping : 1e-05
+ lambda	  : 0.881185
+
+initial set of free parameter values
+
+aa              = 1
+bb              = 1
+
+After 4 iterations the fit converged.
+final sum of squares of residuals : 1.50391e+07
+rel. change during last iteration : -3.68299e-06
+
+degrees of freedom    (FIT_NDF)                        : 98
+rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 391.74
+variance of residuals (reduced chisquare) = WSSR/ndf   : 153460
+
+Final set of parameters            Asymptotic Standard Error
+=======================            ==========================
+
+aa              = 11373.7          +/- 4038         (35.5%)
+bb              = -7433.86         +/- 3003         (40.39%)
+
+
+correlation matrix of the fit parameters:
+
+               aa     bb     
+aa              1.000 
+bb             -1.000  1.000 
+
+
+*******************************************************************************
+Wed Sep 27 22:04:33 2017
+
+
+FIT:    data read from "20170926_3dFit_5x5x5_100times.csv" every ::1 using 3:4
+        format = x:z
+        #datapoints = 100
+        residuals are weighted equally (unit weight)
+
+function used for fitting: h(x)
+fitted parameters initialized with current variable values
+
+
+
+ Iteration 0
+ WSSR        : 571790            delta(WSSR)/WSSR   : 0
+ delta(WSSR) : 0                 limit for stopping : 1e-05
+ lambda	  : 0.881185
+
+initial set of free parameter values
+
+aaa             = 1
+bbb             = 1
+
+After 5 iterations the fit converged.
+final sum of squares of residuals : 3867.86
+rel. change during last iteration : -2.64534e-13
+
+degrees of freedom    (FIT_NDF)                        : 98
+rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 6.28235
+variance of residuals (reduced chisquare) = WSSR/ndf   : 39.468
+
+Final set of parameters            Asymptotic Standard Error
+=======================            ==========================
+
+aaa             = -328.478         +/- 64.75        (19.71%)
+bbb             = 321.279          +/- 48.15        (14.99%)
+
+
+correlation matrix of the fit parameters:
+
+               aaa    bbb    
+aaa             1.000 
+bbb            -1.000  1.000 

dokumentation/evolution3d/20170926_3dFit_5x5x5_100times.gnuplot.log

@@ -0,0 +1,228 @@
+
+
+ Iteration 0
+ WSSR        : 1.20736e+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        : 1.62593e+07       delta(WSSR)/WSSR   : -6.42563
+ delta(WSSR) : -1.04476e+08      limit for stopping : 1e-05
+ lambda	  : 0.0707107
+
+resultant parameter values
+
+a               = 1.15399
+b               = 1018.06
+/
+
+ Iteration 2
+ WSSR        : 1.62568e+07       delta(WSSR)/WSSR   : -0.00015909
+ delta(WSSR) : -2586.29          limit for stopping : 1e-05
+ lambda	  : 0.00707107
+
+resultant parameter values
+
+a               = 6.02889
+b               = 1023.15
+/
+
+ Iteration 3
+ WSSR        : 1.62567e+07       delta(WSSR)/WSSR   : -1.45857e-06
+ delta(WSSR) : -23.7115          limit for stopping : 1e-05
+ lambda	  : 0.000707107
+
+resultant parameter values
+
+a               = 492.81
+b               = 1023.1
+
+After 3 iterations the fit converged.
+final sum of squares of residuals : 1.62567e+07
+rel. change during last iteration : -1.45857e-06
+
+degrees of freedom    (FIT_NDF)                        : 98
+rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 407.29
+variance of residuals (reduced chisquare) = WSSR/ndf   : 165885
+
+Final set of parameters            Asymptotic Standard Error
+=======================            ==========================
+
+a               = 492.81           +/- 1.574e+06    (3.194e+05%)
+b               = 1023.1           +/- 167.9        (16.41%)
+
+
+correlation matrix of the fit parameters:
+
+               a      b      
+a               1.000 
+b              -0.970  1.000 
+
+
+ Iteration 0
+ WSSR        : 1.20584e+08       delta(WSSR)/WSSR   : 0
+ delta(WSSR) : 0                 limit for stopping : 1e-05
+ lambda	  : 0.881185
+
+initial set of free parameter values
+
+aa              = 1
+bb              = 1
+/
+
+ Iteration 1
+ WSSR        : 1.61394e+07       delta(WSSR)/WSSR   : -6.47137
+ delta(WSSR) : -1.04444e+08      limit for stopping : 1e-05
+ lambda	  : 0.0881185
+
+resultant parameter values
+
+aa              = 572.195
+bb              = 593.092
+/
+
+ Iteration 2
+ WSSR        : 1.53853e+07       delta(WSSR)/WSSR   : -0.0490152
+ delta(WSSR) : -754114           limit for stopping : 1e-05
+ lambda	  : 0.00881185
+
+resultant parameter values
+
+aa              = 5308.94
+bb              = -2924.08
+/
+
+ Iteration 3
+ WSSR        : 1.50391e+07       delta(WSSR)/WSSR   : -0.0230181
+ delta(WSSR) : -346172           limit for stopping : 1e-05
+ lambda	  : 0.000881185
+
+resultant parameter values
+
+aa              = 11297
+bb              = -7376.83
+/
+
+ Iteration 4
+ WSSR        : 1.50391e+07       delta(WSSR)/WSSR   : -3.68299e-06
+ delta(WSSR) : -55.3888          limit for stopping : 1e-05
+ lambda	  : 8.81185e-05
+
+resultant parameter values
+
+aa              = 11373.7
+bb              = -7433.86
+
+After 4 iterations the fit converged.
+final sum of squares of residuals : 1.50391e+07
+rel. change during last iteration : -3.68299e-06
+
+degrees of freedom    (FIT_NDF)                        : 98
+rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 391.74
+variance of residuals (reduced chisquare) = WSSR/ndf   : 153460
+
+Final set of parameters            Asymptotic Standard Error
+=======================            ==========================
+
+aa              = 11373.7          +/- 4038         (35.5%)
+bb              = -7433.86         +/- 3003         (40.39%)
+
+
+correlation matrix of the fit parameters:
+
+               aa     bb     
+aa              1.000 
+bb             -1.000  1.000 
+
+
+ Iteration 0
+ WSSR        : 571790            delta(WSSR)/WSSR   : 0
+ delta(WSSR) : 0                 limit for stopping : 1e-05
+ lambda	  : 0.881185
+
+initial set of free parameter values
+
+aaa             = 1
+bbb             = 1
+/
+
+ Iteration 1
+ WSSR        : 5120.14           delta(WSSR)/WSSR   : -110.675
+ delta(WSSR) : -566670           limit for stopping : 1e-05
+ lambda	  : 0.0881185
+
+resultant parameter values
+
+aaa             = 34.035
+bbb             = 51.3384
+/
+
+ Iteration 2
+ WSSR        : 4258.4            delta(WSSR)/WSSR   : -0.202363
+ delta(WSSR) : -861.742          limit for stopping : 1e-05
+ lambda	  : 0.00881185
+
+resultant parameter values
+
+aaa             = -124.79
+bbb             = 169.816
+/
+
+ Iteration 3
+ WSSR        : 3867.92           delta(WSSR)/WSSR   : -0.100953
+ delta(WSSR) : -390.477          limit for stopping : 1e-05
+ lambda	  : 0.000881185
+
+resultant parameter values
+
+aaa             = -325.902
+bbb             = 319.363
+/
+
+ Iteration 4
+ WSSR        : 3867.86           delta(WSSR)/WSSR   : -1.61531e-05
+ delta(WSSR) : -0.0624778        limit for stopping : 1e-05
+ lambda	  : 8.81185e-05
+
+resultant parameter values
+
+aaa             = -328.478
+bbb             = 321.279
+/
+
+ Iteration 5
+ WSSR        : 3867.86           delta(WSSR)/WSSR   : -2.64534e-13
+ delta(WSSR) : -1.02318e-09      limit for stopping : 1e-05
+ lambda	  : 8.81185e-06
+
+resultant parameter values
+
+aaa             = -328.478
+bbb             = 321.279
+
+After 5 iterations the fit converged.
+final sum of squares of residuals : 3867.86
+rel. change during last iteration : -2.64534e-13
+
+degrees of freedom    (FIT_NDF)                        : 98
+rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 6.28235
+variance of residuals (reduced chisquare) = WSSR/ndf   : 39.468
+
+Final set of parameters            Asymptotic Standard Error
+=======================            ==========================
+
+aaa             = -328.478         +/- 64.75        (19.71%)
+bbb             = 321.279          +/- 48.15        (14.99%)
+
+
+correlation matrix of the fit parameters:
+
+               aaa    bbb    
+aaa             1.000 
+bbb            -1.000  1.000 

dokumentation/evolution3d/20170926_3dFit_5x5x5_100times.gnuplot.script

@@ -0,0 +1,14 @@
+set datafile separator ","
+f(x)=a*x+b
+fit f(x) "20170926_3dFit_5x5x5_100times.csv" every ::1 using 1:5 via a,b
+set terminal png
+set output "20170926_3dFit_5x5x5_100times_regularity-vs-steps.png"
+plot "20170926_3dFit_5x5x5_100times.csv" every ::1 using 1:5 title "regularity vs. steps", f(x) lc rgb "black"
+g(x)=aa*x+bb
+fit g(x) "20170926_3dFit_5x5x5_100times.csv" every ::1 using 3:5 via aa,bb
+set output "20170926_3dFit_5x5x5_100times_improvement-vs-steps.png"
+plot "20170926_3dFit_5x5x5_100times.csv" every ::1 using 3:5 title "improvement potential vs. steps", g(x) lc rgb "black"
+h(x)=aaa*x+bbb
+fit h(x) "20170926_3dFit_5x5x5_100times.csv" every ::1 using 3:4 via aaa,bbb
+set output "20170926_3dFit_5x5x5_100times_improvement-vs-evo-error.png"
+plot "20170926_3dFit_5x5x5_100times.csv" every ::1 using 3:4 title "improvement potential vs. evolution error", h(x) lc rgb "black"

dokumentation/evolution3d/images.sh

@@ -0,0 +1,27 @@
+#!/bin/bash
+
+if [[ $# -ne 1 ]]; then
+    echo "usage: $0 <DATA.csv>"
+else
+    data="$1";
+    png="`echo $1 | sed -s "s/\.csv$//"`" # strip ending
+    (cat <<EOD
+set datafile separator ","
+f(x)=a*x+b
+fit f(x) "$data" every ::1 using 1:5 via a,b
+set terminal png
+set output "${png}_regularity-vs-steps.png"
+plot "$data" every ::1 using 1:5 title "regularity vs. steps", f(x) lc rgb "black"
+g(x)=aa*x+bb
+fit g(x) "$data" every ::1 using 3:5 via aa,bb
+set output "${png}_improvement-vs-steps.png"
+plot "$data" every ::1 using 3:5 title "improvement potential vs. steps", g(x) lc rgb "black"
+h(x)=aaa*x+bbb
+fit h(x) "$data" every ::1 using 3:4 via aaa,bbb
+set output "${png}_improvement-vs-evo-error.png"
+plot "$data" every ::1 using 3:4 title "improvement potential vs. evolution error", h(x) lc rgb "black"
+EOD
+) > "${png}.gnuplot.script" 
+    gnuplot "${png}.gnuplot.script" 2> "${png}.gnuplot.log"
+    mv fit.log "${png}.gnuplot.fit.log"
+fi

dokumentation/evolution3d/post.sh

@@ -0,0 +1,19 @@
+#!/bin/bash
+echo "regularity,variability,improvement,\"Evolution error\",steps"
+cat "$1" | grep "EVOL" \
+         | sed -s "s/info: EVOL: //" \
+         | grep -v "info:" \
+         | grep -v "Evolvability" \
+         | grep -v "Converged after" \
+         | sed -s "s/regularity:  //" \
+         | sed -s "s/variability: //" \
+         | sed -s "s/improvement: //" \
+         | sed -s "s/Best value: //" \
+         | sed -s "s/TOTAL STEPS: //" \
+         | while read -r ONE; do
+            read -r TWO
+            read -r THREE
+            read -r FOUR
+            read -r FIVE
+            echo "$ONE,$TWO,$THREE,$FOUR,$FIVE"
+        done