Update FEM data files and model scripts for width optimization; add new data…

Code/data/width_optimization/2W/ml_FEMdata_B29_H30.csv

@@ -8,3 +8,4 @@ tw1,tw2,Exymax_tw1,Exymax_tw2,Eyymax_tf,TFMmax_tw1,TFMmax_tw2,TFMmax_frame
 13.46,20.99,0.053643,0.0293971,0.1016962,105.4959,49.82,83.5084
 8.58,8.88,0.0632531,0.1042515,0.130283,123.1308,165.6866,86.976
 12.6,14.64,0.0450078,0.0615972,0.1161667,88.2463,91.1868,87.1722
+12.53,14.75,0.0455511,0.0605336,0.1153335,89.9543,90.1838,86.6074

Code/data/width_optimization/2W/ml_FEMdata_B34_H30.csv

@@ -8,3 +8,4 @@ tw1,tw2,Exymax_tw1,Exymax_tw2,Eyymax_tf,TFMmax_tw1,TFMmax_tw2,TFMmax_frame
 13.46,20.99,0.0686057,0.033276,0.1173378,138.993,60.5905,89.5536
 8.58,8.88,0.1085222,0.1382075,0.1669545,146.7474,192.9294,94.6607
 15.69,20,0.0512725,0.0460312,0.141023,103.5087,73.2362,99.2099
+15.14,20,0.0541304,0.0441793,0.1366443,110.396,71.842,97.1201

Code/data/width_optimization/2W/rbf_FEMdata_B29_H30.csv

@@ -8,4 +8,5 @@ tw1,tw2,Exymax_tw1,Exymax_tw2,Eyymax_tf,TFMmax_tw1,TFMmax_tw2,TFMmax_frame
 13.46,20.99,0.053643,0.0293971,0.1016962,105.4959,49.82,83.5084
 8.58,8.88,0.0632531,0.1042515,0.130283,123.1308,165.6866,86.976
 12.34,14.34,0.0461157,0.0635088,0.1160707,90.9982,94.5993,87.6823
-12.68,14.91,0.0449853,0.0597997,0.115753,88.7433,88.8361,86.8080
+12.68,14.91,0.0449853,0.0597997,0.115753,88.7433,88.8361,86.808
+12.56,14.79,0.0454446,0.0603288,0.1153885,89.7526,89.8422,86.6273

Code/data/width_optimization/2W/rbf_FEMdata_B34_H30.csv

@@ -9,3 +9,4 @@ tw1,tw2,Exymax_tw1,Exymax_tw2,Eyymax_tf,TFMmax_tw1,TFMmax_tw2,TFMmax_frame
 8.58,8.88,0.1085222,0.1382075,0.1669545,146.7474,192.9294,94.6607
 15.5,20,0.0521125,0.0454009,0.1396136,105.8219,72.7413,98.4961
 14.8,18.93,0.0537676,0.0493064,0.1387399,109.1427,78.7074,96.7782
+14.77,18.95,0.0540003,0.0490569,0.1383386,109.6897,78.5093,96.6335

Code/data/width_optimization/3W/ml_FEMdata_B29_H45.csv

@@ -16,6 +16,4 @@ tw1,tw2,tw3,Exymax_tw1,Exymax_tw2,Exymax_tw3,Eyymax_tf,TFMmax_tw1,TFMmax_tw2,TFM
 11.94,14.8,15.93,0.0162564,0.0280608,0.0349907,0.0939799,25.3627,48.0349,62.0809,72.4997
 9.81,12.65,4.96,0.0092622,0.0285342,0.1633582,0.2867144,11.1527,44.1879,260.5004,156.512
 5.96,8.23,9.47,0.0463678,0.0464775,0.0513613,0.1005854,89.1983,85.2212,83.9612,68.0786
-5.81,8.12,9.04,0.0474045,0.0462994,0.0542192,0.100775,91.138,85.5144,88.6423,69.5669
-5.53,7.96,8.84,0.0514931,0.0484667,0.0543194,0.1001148,98.0415,88.6742,90.1816,68.8582
-5.83,7.89,8.95,0.0465888,0.0478258,0.054548,0.1018059,89.3979,88.5887,90.4094,69.1392
+5.7,7.9,9.02,0.049057,0.0481545,0.0533308,0.1010075,93.7001,89.6538,88.8916,68.1784

Code/data/width_optimization/3W/ml_FEMdata_B34_H45.csv

@@ -16,5 +16,4 @@ tw1,tw2,tw3,Exymax_tw1,Exymax_tw2,Exymax_tw3,Eyymax_tf,TFMmax_tw1,TFMmax_tw2,TFM
 11.94,14.8,15.93,0.0239298,0.0817664,0.0338733,0.1028892,42.4723,87.8776,64.2093,69.8335
 9.81,12.65,4.96,0.0089586,0.032101,0.1749998,0.3156683,13.1979,47.4165,266.644,147.5593
 7.34,9.28,10.13,0.0383401,0.0470196,0.0529832,0.0937131,80.7634,86.7811,87.0794,69.6596
-6.88,9.05,9.83,0.0425174,0.0431259,0.0541058,0.0920949,89.8694,89.8644,88.4408,68.6215
-6.83,9.03,9.71,0.0422012,0.0464421,0.0538225,0.092772,90.4471,89.198,89.9087,68.9794
+6.87,9.08,9.86,0.0427727,0.0432185,0.053752,0.0909216,90.3975,89.4629,88.1392,68.4859

Code/data/width_optimization/5W/ml_FEMdata_B34_H60.csv

@@ -64,5 +64,4 @@ tw1,tw2,tw3,tw4,tw5,Exymax_tw1,Exymax_tw2,Exymax_tw3,Exymax_tw4,Exymax_tw5,Eyyma
 8.96,4.52,5.58,6.91,9.82,0.0182504,0.0894588,0.1212475,0.0631662,0.024132,0.1199809,21.3667,157.3141,204.0845,99.8104,32.8082,61.9136
 5.68,13.91,12.58,11.42,5.93,0.066269,0.0164049,0.0266002,0.0471815,0.0612316,0.1382278,123.0662,24.2749,43.1425,56.6075,108.8461,93.968
 5.97,7.38,8.56,6.7,5,0.0563488,0.0518778,0.0596584,0.0712373,0.058239,0.1229254,84.9512,90.6505,87.9108,81.0599,74.1754,79.1536
-5.7,7.42,8.45,6.09,5,0.0602438,0.0528245,0.0588412,0.0775535,0.0574888,0.1230745,92.0594,89.7108,87.3874,91.3958,72.3656,77.627
-5.76,7.39,8.42,6.17,5,0.0581466,0.0520777,0.0593142,0.077353,0.0579703,0.1234245,90.1357,89.9638,88.5223,90.3566,72.4717,77.916
+5.76,7.37,8.46,6.67,5,0.0639787,0.0567935,0.0649195,0.0784367,0.0623609,0.123282,95.5551,95.9207,92.8609,85.1741,71.371,75.1903

Code/src/width_optimization/run_ml.sh

 #!/bin/bash
-python ml_surrogate_train.py --W 2 --B 29 --it 1
-python ml_optimization_de.py --W 2 --B 29 --TFD_W 90 --it 1
-python ml_surrogate_train.py --W 2 --B 34 --it 1
-python ml_optimization_de.py --W 2 --B 34 --TFD_W 90 --it 1
-python ml_surrogate_train.py --W 3 --B 29 --it 1
-python ml_optimization_de.py --W 3 --B 29 --TFD_W 90 --it 1
-python ml_surrogate_train.py --W 3 --B 34 --it 1
-python ml_optimization_de.py --W 3 --B 34 --TFD_W 90 --it 1
-python ml_surrogate_train.py --W 5 --B 34 --it 1
-python ml_optimization_de.py --W 5 --B 34 --TFD_W 90 --it 1
+## python ml_surrogate_train.py --W 2 --B 29 --it 1
+## python ml_optimization_de.py --W 2 --B 29 --TFD_W 90 --it 1
+python ml_surrogate_train.py --W 2 --B 34 --it 2
+python ml_optimization_de.py --W 2 --B 34 --TFD_W 90 --it 2
+python ml_surrogate_train.py --W 3 --B 29 --it 2
+python ml_optimization_de.py --W 3 --B 29 --TFD_W 90 --it 2
+python ml_surrogate_train.py --W 3 --B 34 --it 2
+python ml_optimization_de.py --W 3 --B 34 --TFD_W 90 --it 2
+python ml_surrogate_train.py --W 5 --B 34 --it 2
+python ml_optimization_de.py --W 5 --B 34 --TFD_W 90 --it 2