more graphs for evo3d
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057D94F356F41E25
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*******************************************************************************
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Wed Sep 27 11:56:04 2017
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Sun Oct 1 20:12:40 2017
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FIT: data read from "20170926_3dFit_4x4x4_100times.csv" every ::1 using 1:5
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@ -47,7 +47,7 @@ b -0.992 1.000
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*******************************************************************************
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Wed Sep 27 11:56:04 2017
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Sun Oct 1 20:12:40 2017
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FIT: data read from "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:5
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@ -93,7 +93,7 @@ bb -1.000 1.000
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*******************************************************************************
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Wed Sep 27 11:56:04 2017
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Sun Oct 1 20:12:40 2017
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FIT: data read from "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:4
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@ -2,13 +2,19 @@ set datafile separator ","
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f(x)=a*x+b
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fit f(x) "20170926_3dFit_4x4x4_100times.csv" every ::1 using 1:5 via a,b
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set terminal png
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set xlabel 'regularity'
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set ylabel 'steps'
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set output "20170926_3dFit_4x4x4_100times_regularity-vs-steps.png"
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plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 1:5 title "regularity vs. steps", f(x) lc rgb "black"
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plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 1:5 title "data", f(x) title "lin. fit" lc rgb "black"
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g(x)=aa*x+bb
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fit g(x) "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:5 via aa,bb
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set xlabel 'improvement potential'
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set ylabel 'steps'
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set output "20170926_3dFit_4x4x4_100times_improvement-vs-steps.png"
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plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:5 title "improvement potential vs. steps", g(x) lc rgb "black"
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plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:5 title "data", g(x) title "lin. fit" lc rgb "black"
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h(x)=aaa*x+bbb
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fit h(x) "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:4 via aaa,bbb
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set xlabel 'improvement potential'
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set ylabel 'evolution error'
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set output "20170926_3dFit_4x4x4_100times_improvement-vs-evo-error.png"
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plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:4 title "improvement potential vs. evolution error", h(x) lc rgb "black"
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plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:4 title "data", h(x) title "lin. fit" lc rgb "black"
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*******************************************************************************
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Wed Sep 27 22:04:33 2017
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Sun Oct 1 20:12:42 2017
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FIT: data read from "20170926_3dFit_5x5x5_100times.csv" every ::1 using 1:5
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@ -47,7 +47,7 @@ b -0.970 1.000
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*******************************************************************************
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Wed Sep 27 22:04:33 2017
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Sun Oct 1 20:12:42 2017
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FIT: data read from "20170926_3dFit_5x5x5_100times.csv" every ::1 using 3:5
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@ -93,7 +93,7 @@ bb -1.000 1.000
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*******************************************************************************
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Wed Sep 27 22:04:33 2017
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Sun Oct 1 20:12:42 2017
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FIT: data read from "20170926_3dFit_5x5x5_100times.csv" every ::1 using 3:4
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@ -2,13 +2,19 @@ set datafile separator ","
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f(x)=a*x+b
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fit f(x) "20170926_3dFit_5x5x5_100times.csv" every ::1 using 1:5 via a,b
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set terminal png
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set xlabel 'regularity'
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set ylabel 'steps'
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set output "20170926_3dFit_5x5x5_100times_regularity-vs-steps.png"
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plot "20170926_3dFit_5x5x5_100times.csv" every ::1 using 1:5 title "regularity vs. steps", f(x) lc rgb "black"
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plot "20170926_3dFit_5x5x5_100times.csv" every ::1 using 1:5 title "data", f(x) title "lin. fit" lc rgb "black"
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g(x)=aa*x+bb
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fit g(x) "20170926_3dFit_5x5x5_100times.csv" every ::1 using 3:5 via aa,bb
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set xlabel 'improvement potential'
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set ylabel 'steps'
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set output "20170926_3dFit_5x5x5_100times_improvement-vs-steps.png"
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plot "20170926_3dFit_5x5x5_100times.csv" every ::1 using 3:5 title "improvement potential vs. steps", g(x) lc rgb "black"
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plot "20170926_3dFit_5x5x5_100times.csv" every ::1 using 3:5 title "data", g(x) title "lin. fit" lc rgb "black"
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h(x)=aaa*x+bbb
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fit h(x) "20170926_3dFit_5x5x5_100times.csv" every ::1 using 3:4 via aaa,bbb
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set xlabel 'improvement potential'
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set ylabel 'evolution error'
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set output "20170926_3dFit_5x5x5_100times_improvement-vs-evo-error.png"
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plot "20170926_3dFit_5x5x5_100times.csv" every ::1 using 3:4 title "improvement potential vs. evolution error", h(x) lc rgb "black"
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plot "20170926_3dFit_5x5x5_100times.csv" every ::1 using 3:4 title "data", h(x) title "lin. fit" lc rgb "black"
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201
dokumentation/evolution3d/20170926_3dFit_both.csv
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201
dokumentation/evolution3d/20170926_3dFit_both.csv
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regularity,variability,improvement,"Evolution error",steps
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6.57581e-05,0.00592209,0.622392,113.016.,2368
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5.16451e-05,0.00592209,0.610293,118.796.,2433
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6.45083e-05,0.00592209,0.592139,127.157.,1655
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7.14801e-05,0.00592209,0.624039,121.613.,1933
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5.62707e-05,0.00592209,0.611091,119.539.,2618
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5.55953e-05,0.00592209,0.625812,119.512.,2505
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5.96026e-05,0.00592209,0.622873,118.285.,1582
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6.63676e-05,0.00592209,0.602386,126.579.,2214
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5.93125e-05,0.00592209,0.608913,122.512.,2262
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6.05066e-05,0.00592209,0.621467,118.473.,2465
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6.42976e-05,0.00592209,0.602593,121.998.,2127
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5.32868e-05,0.00592209,0.616501,115.313.,2746
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5.47856e-05,0.00592209,0.615173,118.034.,2148
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6.47209e-05,0.00592209,0.603935,120.003.,2304
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7.07812e-05,0.00592209,0.620422,123.494.,1941
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6.49313e-05,0.00592209,0.616232,122.989.,2214
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6.64295e-05,0.00592209,0.605206,123.757.,1675
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5.88806e-05,0.00592209,0.628055,110.67.,2230
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7.56461e-05,0.00592209,0.625361,121.232.,2187
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4.932e-05,0.00592209,0.612261,120.979.,2280
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5.45998e-05,0.00592209,0.61935,115.394.,2380
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6.10654e-05,0.00592209,0.614029,116.928.,2327
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6.09488e-05,0.00592209,0.611892,125.294.,1609
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5.85691e-05,0.00592209,0.632686,111.635.,2831
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6.87292e-05,0.00592209,0.61519,114.681.,2565
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6.53377e-05,0.00592209,0.627408,111.935.,2596
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6.98345e-05,0.00592209,0.616158,111.392.,2417
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7.90547e-05,0.00592209,0.620575,115.346.,2031
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6.50231e-05,0.00592209,0.625725,119.055.,1842
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6.76541e-05,0.00592209,0.625399,117.452.,1452
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5.72222e-05,0.00592209,0.614171,123.379.,2186
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7.42483e-05,0.00592209,0.624683,115.053.,2236
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6.9354e-05,0.00592209,0.619596,123.994.,1688
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5.75478e-05,0.00592209,0.605051,118.576.,1930
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6.01309e-05,0.00592209,0.617511,116.894.,2184
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6.69251e-05,0.00592209,0.608408,120.129.,2007
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4.66926e-05,0.00592209,0.60606,126.708.,1552
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4.90102e-05,0.00592209,0.618673,114.595.,2783
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5.51505e-05,0.00592209,0.619245,120.056.,2463
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6.1007e-05,0.00592209,0.605215,122.057.,1493
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5.04717e-05,0.00592209,0.623503,116.846.,2620
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6.3578e-05,0.00592209,0.625261,124.35.,2193
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5.8875e-05,0.00592209,0.624526,118.43.,2502
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7.95299e-05,0.00592209,0.611719,116.574.,1849
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6.42733e-05,0.00592209,0.608178,128.474.,2078
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6.41674e-05,0.00592209,0.624042,111.111.,2037
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4.88661e-05,0.00592209,0.615408,120.004.,2627
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7.27714e-05,0.00592209,0.626926,119.866.,2128
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4.84641e-05,0.00592209,0.608054,119.676.,2408
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6.66562e-05,0.00592209,0.603902,128.957.,1668
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5.99872e-05,0.00592209,0.63676,108.467.,3448
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7.73127e-05,0.00592209,0.62232,123.353.,1551
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6.67597e-05,0.00592209,0.621411,123.301.,2180
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5.2819e-05,0.00592209,0.617515,114.838.,4096
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5.29257e-05,0.00592209,0.622611,118.611.,1973
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5.35212e-05,0.00592209,0.62533,109.616.,3424
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7.1947e-05,0.00592209,0.632331,113.565.,2905
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5.04311e-05,0.00592209,0.611559,120.01.,2147
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6.57161e-05,0.00592209,0.617789,125.441.,1820
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5.18695e-05,0.00592209,0.610402,122.541.,2430
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6.47262e-05,0.00592209,0.609141,123.169.,1989
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5.87925e-05,0.00592209,0.61627,117.344.,2143
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4.36904e-05,0.00592209,0.631954,112.674.,3526
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6.45195e-05,0.00592209,0.614402,118.787.,1765
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5.8354e-05,0.00592209,0.615515,112.061.,2368
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7.14669e-05,0.00592209,0.628382,110.262.,1923
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7.24908e-05,0.00592209,0.610848,116.504.,1830
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5.98617e-05,0.00592209,0.622949,109.607.,3609
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5.90411e-05,0.00592209,0.629175,122.198.,1859
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5.25569e-05,0.00592209,0.621253,124.527.,1876
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5.86979e-05,0.00592209,0.612603,120.886.,2916
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4.73113e-05,0.00592209,0.610586,119.176.,2072
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5.8777e-05,0.00592209,0.62863,121.081.,2338
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5.6608e-05,0.00592209,0.617215,121.038.,3021
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5.74614e-05,0.00592209,0.626088,112.392.,2182
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6.86466e-05,0.00592209,0.631893,121.148.,2246
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4.77969e-05,0.00592209,0.635218,117.053.,2939
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5.50553e-05,0.00592209,0.610707,123.651.,1417
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6.89628e-05,0.00592209,0.638474,128.446.,1840
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6.85622e-05,0.00592209,0.620769,115.527.,2116
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5.28017e-05,0.00592209,0.614948,121.456.,2178
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7.06916e-05,0.00592209,0.61804,127.418.,2354
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6.81788e-05,0.00592209,0.616056,113.541.,2768
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7.89711e-05,0.00592209,0.615108,116.805.,2293
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5.84297e-05,0.00592209,0.612733,123.244.,2206
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5.53374e-05,0.00592209,0.605062,123.095.,1902
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5.51739e-05,0.00592209,0.631543,115.9.,3145
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6.9413e-05,0.00592209,0.59103,124.024.,1475
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5.08739e-05,0.00592209,0.621454,114.685.,3356
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5.95256e-05,0.00592209,0.626188,113.428.,2336
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5.63659e-05,0.00592209,0.618554,117.456.,2105
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6.32019e-05,0.00592209,0.616926,122.15.,1799
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6.05333e-05,0.00592209,0.613481,124.576.,1873
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5.35997e-05,0.00592209,0.621122,113.63.,2834
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5.94187e-05,0.00592209,0.606925,126.608.,1970
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||||
6.52182e-05,0.00592209,0.610882,129.916.,1246
|
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6.78626e-05,0.00592209,0.608581,119.673.,2155
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5.12495e-05,0.00592209,0.6262,116.233.,3037
|
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6.7083e-05,0.00592209,0.608299,125.086.,1595
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6.74099e-05,0.00592209,0.620429,112.897.,2800
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7.0689e-05,0.0115666,0.73748,73.9627.,781
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||||
8.30021e-05,0.0115666,0.733986,79.3303.,965
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||||
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
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||||
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
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||||
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
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||||
0.000124455,0.0115666,0.748928,72.8603.,743
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||||
9.47125e-05,0.0115666,0.738797,70.5867.,1935
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||||
7.9171e-05,0.0115666,0.741438,79.8851.,1007
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||||
9.00926e-05,0.0115666,0.729562,89.169.,854
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||||
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
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||||
0.000120138,0.0115666,0.75356,82.4297.,698
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||||
5.97068e-05,0.0115666,0.744391,74.6568.,952
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||||
0.000104185,0.0115666,0.7341,76.5874.,1223
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0.000123751,0.0115666,0.735266,82.2821.,715
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0.000108341,0.0115666,0.744947,71.321.,1058
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9.75329e-05,0.0115666,0.746476,80.1887.,1033
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6.51759e-05,0.0115666,0.754359,60.0022.,3631
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9.35949e-05,0.0115666,0.733867,73.5674.,1300
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8.56673e-05,0.0115666,0.744773,68.7547.,1081
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7.41782e-05,0.0115666,0.754371,97.4154.,907
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0.000111943,0.0115666,0.749778,81.1639.,1013
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8.48407e-05,0.0115666,0.726201,82.2747.,473
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6.14894e-05,0.0115666,0.746102,70.415.,938
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6.76652e-05,0.0115666,0.736705,72.564.,881
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9.73343e-05,0.0115666,0.754973,70.1961.,1019
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||||
9.54201e-05,0.0115666,0.718442,83.8507.,762
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7.51464e-05,0.0115666,0.736317,82.3622.,646
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0.000105639,0.0115666,0.741073,74.3285.,1122
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0.000131041,0.0115666,0.735624,84.2108.,860
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0.000136142,0.0115666,0.754096,69.7744.,1124
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8.76576e-05,0.0115666,0.734191,82.1376.,889
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8.54651e-05,0.0115666,0.731117,74.2818.,715
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0.000121696,0.0115666,0.736555,78.989.,1029
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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
|
||||
|
138
dokumentation/evolution3d/20170926_3dFit_both.gnuplot.fit.log
Normal file
138
dokumentation/evolution3d/20170926_3dFit_both.gnuplot.fit.log
Normal file
@ -0,0 +1,138 @@
|
||||
|
||||
|
||||
*******************************************************************************
|
||||
Sun Oct 1 20:12:38 2017
|
||||
|
||||
|
||||
FIT: data read from "20170926_3dFit_both.csv" every ::1 using 1:5
|
||||
format = x:z
|
||||
#datapoints = 200
|
||||
residuals are weighted equally (unit weight)
|
||||
|
||||
function used for fitting: f(x)
|
||||
fitted parameters initialized with current variable values
|
||||
|
||||
|
||||
|
||||
Iteration 0
|
||||
WSSR : 6.57855e+08 delta(WSSR)/WSSR : 0
|
||||
delta(WSSR) : 0 limit for stopping : 1e-05
|
||||
lambda : 0.707107
|
||||
|
||||
initial set of free parameter values
|
||||
|
||||
a = 1
|
||||
b = 1
|
||||
|
||||
After 7 iterations the fit converged.
|
||||
final sum of squares of residuals : 7.34036e+07
|
||||
rel. change during last iteration : -3.02117e-11
|
||||
|
||||
degrees of freedom (FIT_NDF) : 198
|
||||
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 608.872
|
||||
variance of residuals (reduced chisquare) = WSSR/ndf : 370725
|
||||
|
||||
Final set of parameters Asymptotic Standard Error
|
||||
======================= ==========================
|
||||
|
||||
a = -1.68921e+07 +/- 1.511e+06 (8.945%)
|
||||
b = 3032.87 +/- 131.7 (4.343%)
|
||||
|
||||
|
||||
correlation matrix of the fit parameters:
|
||||
|
||||
a b
|
||||
a 1.000
|
||||
b -0.945 1.000
|
||||
|
||||
|
||||
*******************************************************************************
|
||||
Sun Oct 1 20:12:38 2017
|
||||
|
||||
|
||||
FIT: data read from "20170926_3dFit_both.csv" every ::1 using 3:5
|
||||
format = x:z
|
||||
#datapoints = 200
|
||||
residuals are weighted equally (unit weight)
|
||||
|
||||
function used for fitting: g(x)
|
||||
fitted parameters initialized with current variable values
|
||||
|
||||
|
||||
|
||||
Iteration 0
|
||||
WSSR : 6.57424e+08 delta(WSSR)/WSSR : 0
|
||||
delta(WSSR) : 0 limit for stopping : 1e-05
|
||||
lambda : 0.856516
|
||||
|
||||
initial set of free parameter values
|
||||
|
||||
aa = 1
|
||||
bb = 1
|
||||
|
||||
After 4 iterations the fit converged.
|
||||
final sum of squares of residuals : 5.05827e+07
|
||||
rel. change during last iteration : -1.56089e-12
|
||||
|
||||
degrees of freedom (FIT_NDF) : 198
|
||||
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 505.439
|
||||
variance of residuals (reduced chisquare) = WSSR/ndf : 255468
|
||||
|
||||
Final set of parameters Asymptotic Standard Error
|
||||
======================= ==========================
|
||||
|
||||
aa = -9234.91 +/- 561.3 (6.078%)
|
||||
bb = 7926.36 +/- 383.7 (4.84%)
|
||||
|
||||
|
||||
correlation matrix of the fit parameters:
|
||||
|
||||
aa bb
|
||||
aa 1.000
|
||||
bb -0.996 1.000
|
||||
|
||||
|
||||
*******************************************************************************
|
||||
Sun Oct 1 20:12:38 2017
|
||||
|
||||
|
||||
FIT: data read from "20170926_3dFit_both.csv" every ::1 using 3:4
|
||||
format = x:z
|
||||
#datapoints = 200
|
||||
residuals are weighted equally (unit weight)
|
||||
|
||||
function used for fitting: h(x)
|
||||
fitted parameters initialized with current variable values
|
||||
|
||||
|
||||
|
||||
Iteration 0
|
||||
WSSR : 1.95631e+06 delta(WSSR)/WSSR : 0
|
||||
delta(WSSR) : 0 limit for stopping : 1e-05
|
||||
lambda : 0.856516
|
||||
|
||||
initial set of free parameter values
|
||||
|
||||
aaa = 1
|
||||
bbb = 1
|
||||
|
||||
After 4 iterations the fit converged.
|
||||
final sum of squares of residuals : 5749.96
|
||||
rel. change during last iteration : -1.9804e-11
|
||||
|
||||
degrees of freedom (FIT_NDF) : 198
|
||||
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.3889
|
||||
variance of residuals (reduced chisquare) = WSSR/ndf : 29.0402
|
||||
|
||||
Final set of parameters Asymptotic Standard Error
|
||||
======================= ==========================
|
||||
|
||||
aaa = -333.854 +/- 5.984 (1.793%)
|
||||
bbb = 325.32 +/- 4.091 (1.257%)
|
||||
|
||||
|
||||
correlation matrix of the fit parameters:
|
||||
|
||||
aaa bbb
|
||||
aaa 1.000
|
||||
bbb -0.996 1.000
|
||||
261
dokumentation/evolution3d/20170926_3dFit_both.gnuplot.log
Normal file
261
dokumentation/evolution3d/20170926_3dFit_both.gnuplot.log
Normal file
@ -0,0 +1,261 @@
|
||||
|
||||
|
||||
Iteration 0
|
||||
WSSR : 6.57855e+08 delta(WSSR)/WSSR : 0
|
||||
delta(WSSR) : 0 limit for stopping : 1e-05
|
||||
lambda : 0.707107
|
||||
|
||||
initial set of free parameter values
|
||||
|
||||
a = 1
|
||||
b = 1
|
||||
/
|
||||
|
||||
Iteration 1
|
||||
WSSR : 1.19742e+08 delta(WSSR)/WSSR : -4.49394
|
||||
delta(WSSR) : -5.38113e+08 limit for stopping : 1e-05
|
||||
lambda : 0.0707107
|
||||
|
||||
resultant parameter values
|
||||
|
||||
a = -4.3512
|
||||
b = 1637.21
|
||||
/
|
||||
|
||||
Iteration 2
|
||||
WSSR : 1.19736e+08 delta(WSSR)/WSSR : -5.30831e-05
|
||||
delta(WSSR) : -6355.94 limit for stopping : 1e-05
|
||||
lambda : 0.00707107
|
||||
|
||||
resultant parameter values
|
||||
|
||||
a = -552.932
|
||||
b = 1641.35
|
||||
/
|
||||
|
||||
Iteration 3
|
||||
WSSR : 1.19436e+08 delta(WSSR)/WSSR : -0.00250746
|
||||
delta(WSSR) : -299482 limit for stopping : 1e-05
|
||||
lambda : 0.000707107
|
||||
|
||||
resultant parameter values
|
||||
|
||||
a = -55233.5
|
||||
b = 1645.85
|
||||
/
|
||||
|
||||
Iteration 4
|
||||
WSSR : 9.96328e+07 delta(WSSR)/WSSR : -0.198762
|
||||
delta(WSSR) : -1.98032e+07 limit for stopping : 1e-05
|
||||
lambda : 7.07107e-05
|
||||
|
||||
resultant parameter values
|
||||
|
||||
a = -4.18279e+06
|
||||
b = 1985.88
|
||||
/
|
||||
|
||||
Iteration 5
|
||||
WSSR : 7.3427e+07 delta(WSSR)/WSSR : -0.356896
|
||||
delta(WSSR) : -2.62058e+07 limit for stopping : 1e-05
|
||||
lambda : 7.07107e-06
|
||||
|
||||
resultant parameter values
|
||||
|
||||
a = -1.65125e+07
|
||||
b = 3001.59
|
||||
/
|
||||
|
||||
Iteration 6
|
||||
WSSR : 7.34036e+07 delta(WSSR)/WSSR : -0.000318847
|
||||
delta(WSSR) : -23404.6 limit for stopping : 1e-05
|
||||
lambda : 7.07107e-07
|
||||
|
||||
resultant parameter values
|
||||
|
||||
a = -1.6892e+07
|
||||
b = 3032.86
|
||||
/
|
||||
|
||||
Iteration 7
|
||||
WSSR : 7.34036e+07 delta(WSSR)/WSSR : -3.02117e-11
|
||||
delta(WSSR) : -0.00221765 limit for stopping : 1e-05
|
||||
lambda : 7.07107e-08
|
||||
|
||||
resultant parameter values
|
||||
|
||||
a = -1.68921e+07
|
||||
b = 3032.87
|
||||
|
||||
After 7 iterations the fit converged.
|
||||
final sum of squares of residuals : 7.34036e+07
|
||||
rel. change during last iteration : -3.02117e-11
|
||||
|
||||
degrees of freedom (FIT_NDF) : 198
|
||||
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 608.872
|
||||
variance of residuals (reduced chisquare) = WSSR/ndf : 370725
|
||||
|
||||
Final set of parameters Asymptotic Standard Error
|
||||
======================= ==========================
|
||||
|
||||
a = -1.68921e+07 +/- 1.511e+06 (8.945%)
|
||||
b = 3032.87 +/- 131.7 (4.343%)
|
||||
|
||||
|
||||
correlation matrix of the fit parameters:
|
||||
|
||||
a b
|
||||
a 1.000
|
||||
b -0.945 1.000
|
||||
|
||||
|
||||
Iteration 0
|
||||
WSSR : 6.57424e+08 delta(WSSR)/WSSR : 0
|
||||
delta(WSSR) : 0 limit for stopping : 1e-05
|
||||
lambda : 0.856516
|
||||
|
||||
initial set of free parameter values
|
||||
|
||||
aa = 1
|
||||
bb = 1
|
||||
/
|
||||
|
||||
Iteration 1
|
||||
WSSR : 7.68973e+07 delta(WSSR)/WSSR : -7.54938
|
||||
delta(WSSR) : -5.80527e+08 limit for stopping : 1e-05
|
||||
lambda : 0.0856516
|
||||
|
||||
resultant parameter values
|
||||
|
||||
aa = -3543.05
|
||||
bb = 4037.81
|
||||
/
|
||||
|
||||
Iteration 2
|
||||
WSSR : 5.05872e+07 delta(WSSR)/WSSR : -0.520094
|
||||
delta(WSSR) : -2.63101e+07 limit for stopping : 1e-05
|
||||
lambda : 0.00856516
|
||||
|
||||
resultant parameter values
|
||||
|
||||
aa = -9160.46
|
||||
bb = 7875.55
|
||||
/
|
||||
|
||||
Iteration 3
|
||||
WSSR : 5.05827e+07 delta(WSSR)/WSSR : -8.8937e-05
|
||||
delta(WSSR) : -4498.67 limit for stopping : 1e-05
|
||||
lambda : 0.000856516
|
||||
|
||||
resultant parameter values
|
||||
|
||||
aa = -9234.9
|
||||
bb = 7926.35
|
||||
/
|
||||
|
||||
Iteration 4
|
||||
WSSR : 5.05827e+07 delta(WSSR)/WSSR : -1.56089e-12
|
||||
delta(WSSR) : -7.89538e-05 limit for stopping : 1e-05
|
||||
lambda : 8.56516e-05
|
||||
|
||||
resultant parameter values
|
||||
|
||||
aa = -9234.91
|
||||
bb = 7926.36
|
||||
|
||||
After 4 iterations the fit converged.
|
||||
final sum of squares of residuals : 5.05827e+07
|
||||
rel. change during last iteration : -1.56089e-12
|
||||
|
||||
degrees of freedom (FIT_NDF) : 198
|
||||
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 505.439
|
||||
variance of residuals (reduced chisquare) = WSSR/ndf : 255468
|
||||
|
||||
Final set of parameters Asymptotic Standard Error
|
||||
======================= ==========================
|
||||
|
||||
aa = -9234.91 +/- 561.3 (6.078%)
|
||||
bb = 7926.36 +/- 383.7 (4.84%)
|
||||
|
||||
|
||||
correlation matrix of the fit parameters:
|
||||
|
||||
aa bb
|
||||
aa 1.000
|
||||
bb -0.996 1.000
|
||||
|
||||
|
||||
Iteration 0
|
||||
WSSR : 1.95631e+06 delta(WSSR)/WSSR : 0
|
||||
delta(WSSR) : 0 limit for stopping : 1e-05
|
||||
lambda : 0.856516
|
||||
|
||||
initial set of free parameter values
|
||||
|
||||
aaa = 1
|
||||
bbb = 1
|
||||
/
|
||||
|
||||
Iteration 1
|
||||
WSSR : 43713 delta(WSSR)/WSSR : -43.7534
|
||||
delta(WSSR) : -1.91259e+06 limit for stopping : 1e-05
|
||||
lambda : 0.0856516
|
||||
|
||||
resultant parameter values
|
||||
|
||||
aaa = -117.722
|
||||
bbb = 177.579
|
||||
/
|
||||
|
||||
Iteration 2
|
||||
WSSR : 5756.45 delta(WSSR)/WSSR : -6.59375
|
||||
delta(WSSR) : -37956.6 limit for stopping : 1e-05
|
||||
lambda : 0.00856516
|
||||
|
||||
resultant parameter values
|
||||
|
||||
aaa = -331.026
|
||||
bbb = 323.391
|
||||
/
|
||||
|
||||
Iteration 3
|
||||
WSSR : 5749.96 delta(WSSR)/WSSR : -0.00112851
|
||||
delta(WSSR) : -6.48891 limit for stopping : 1e-05
|
||||
lambda : 0.000856516
|
||||
|
||||
resultant parameter values
|
||||
|
||||
aaa = -333.853
|
||||
bbb = 325.32
|
||||
/
|
||||
|
||||
Iteration 4
|
||||
WSSR : 5749.96 delta(WSSR)/WSSR : -1.9804e-11
|
||||
delta(WSSR) : -1.13872e-07 limit for stopping : 1e-05
|
||||
lambda : 8.56516e-05
|
||||
|
||||
resultant parameter values
|
||||
|
||||
aaa = -333.854
|
||||
bbb = 325.32
|
||||
|
||||
After 4 iterations the fit converged.
|
||||
final sum of squares of residuals : 5749.96
|
||||
rel. change during last iteration : -1.9804e-11
|
||||
|
||||
degrees of freedom (FIT_NDF) : 198
|
||||
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.3889
|
||||
variance of residuals (reduced chisquare) = WSSR/ndf : 29.0402
|
||||
|
||||
Final set of parameters Asymptotic Standard Error
|
||||
======================= ==========================
|
||||
|
||||
aaa = -333.854 +/- 5.984 (1.793%)
|
||||
bbb = 325.32 +/- 4.091 (1.257%)
|
||||
|
||||
|
||||
correlation matrix of the fit parameters:
|
||||
|
||||
aaa bbb
|
||||
aaa 1.000
|
||||
bbb -0.996 1.000
|
||||
20
dokumentation/evolution3d/20170926_3dFit_both.gnuplot.script
Normal file
20
dokumentation/evolution3d/20170926_3dFit_both.gnuplot.script
Normal file
@ -0,0 +1,20 @@
|
||||
set datafile separator ","
|
||||
f(x)=a*x+b
|
||||
fit f(x) "20170926_3dFit_both.csv" every ::1 using 1:5 via a,b
|
||||
set terminal png
|
||||
set xlabel 'regularity'
|
||||
set ylabel 'steps'
|
||||
set output "20170926_3dFit_both_regularity-vs-steps.png"
|
||||
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 1:5 title "20170926_3dFit_4x4x4_100times.csv", "20170926_3dFit_5x5x5_100times.csv" every ::1 using 1:5 title "20170926_3dFit_5x5x5_100times.csv", f(x) title "lin. fit" lc rgb "black"
|
||||
g(x)=aa*x+bb
|
||||
fit g(x) "20170926_3dFit_both.csv" every ::1 using 3:5 via aa,bb
|
||||
set xlabel 'improvement potential'
|
||||
set ylabel 'steps'
|
||||
set output "20170926_3dFit_both_improvement-vs-steps.png"
|
||||
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:5 title "20170926_3dFit_4x4x4_100times.csv", "20170926_3dFit_5x5x5_100times.csv" every ::1 using 3:5 title "20170926_3dFit_5x5x5_100times.csv", g(x) title "lin. fit" lc rgb "black"
|
||||
h(x)=aaa*x+bbb
|
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fit h(x) "20170926_3dFit_both.csv" every ::1 using 3:4 via aaa,bbb
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set xlabel 'improvement potential'
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set ylabel 'evolution error'
|
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set output "20170926_3dFit_both_improvement-vs-evo-error.png"
|
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plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:4 title "20170926_3dFit_4x4x4_100times.csv", "20170926_3dFit_5x5x5_100times.csv" every ::1 using 3:4 title "20170926_3dFit_5x5x5_100times.csv", h(x) title "lin. fit" lc rgb "black"
|
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33
dokumentation/evolution3d/combine.sh
Executable file
33
dokumentation/evolution3d/combine.sh
Executable file
@ -0,0 +1,33 @@
|
||||
#!/bin/bash
|
||||
|
||||
if [[ $# -eq 0 ]]; 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) "$data" every ::1 using 1:5 via a,b
|
||||
set terminal png
|
||||
set xlabel 'regularity'
|
||||
set ylabel 'steps'
|
||||
set output "${png}_regularity-vs-steps.png"
|
||||
plot "$2" every ::1 using 1:5 title "$2", "$3" every ::1 using 1:5 title "$3", f(x) title "lin. fit" lc rgb "black"
|
||||
g(x)=aa*x+bb
|
||||
fit g(x) "$data" every ::1 using 3:5 via aa,bb
|
||||
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 "$3", g(x) title "lin. fit" lc rgb "black"
|
||||
h(x)=aaa*x+bbb
|
||||
fit h(x) "$data" every ::1 using 3:4 via aaa,bbb
|
||||
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 "$3", h(x) title "lin. fit" lc rgb "black"
|
||||
EOD
|
||||
) > "${png}.gnuplot.script"
|
||||
gnuplot "${png}.gnuplot.script" 2> "${png}.gnuplot.log"
|
||||
mv fit.log "${png}.gnuplot.fit.log"
|
||||
fi
|
||||
@ -10,16 +10,22 @@ set datafile separator ","
|
||||
f(x)=a*x+b
|
||||
fit f(x) "$data" every ::1 using 1:5 via a,b
|
||||
set terminal png
|
||||
set xlabel 'regularity'
|
||||
set ylabel 'steps'
|
||||
set output "${png}_regularity-vs-steps.png"
|
||||
plot "$data" every ::1 using 1:5 title "regularity vs. steps", f(x) lc rgb "black"
|
||||
plot "$data" every ::1 using 1:5 title "data", f(x) title "lin. fit" lc rgb "black"
|
||||
g(x)=aa*x+bb
|
||||
fit g(x) "$data" every ::1 using 3:5 via aa,bb
|
||||
set xlabel 'improvement potential'
|
||||
set ylabel 'steps'
|
||||
set output "${png}_improvement-vs-steps.png"
|
||||
plot "$data" every ::1 using 3:5 title "improvement potential vs. steps", g(x) lc rgb "black"
|
||||
plot "$data" every ::1 using 3:5 title "data", g(x) title "lin. fit" lc rgb "black"
|
||||
h(x)=aaa*x+bbb
|
||||
fit h(x) "$data" every ::1 using 3:4 via aaa,bbb
|
||||
set xlabel 'improvement potential'
|
||||
set ylabel 'evolution error'
|
||||
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"
|
||||
plot "$data" every ::1 using 3:4 title "data", h(x) title "lin. fit" lc rgb "black"
|
||||
EOD
|
||||
) > "${png}.gnuplot.script"
|
||||
gnuplot "${png}.gnuplot.script" 2> "${png}.gnuplot.log"
|
||||
|
||||
Loading…
Reference in New Issue
Block a user