benchmarks

Created by Gitanjali Bhattacharjee
10 November 2020

These are some useful benchmarks to make sure your results are correct.

(1) result of main() in process_results_sf.py, the printed output should be:

f_V.shape  (460, 71)
n_samples =  460  n_dims =  71
var_hat =  4.34516034191e+12  sum of f_X =  11797361956.9
for  total  cost-based Sobol indices, sum =  0.978971184018
1165 7.66132382961e-06
1075 9.46128587635e-07
1081 0.0111404251372
1032 0.000200228947783
1065 1.26039425902e-05
985 1.02832743333e-06
989 5.22679694471e-06
1070 9.98906988037e-05
1071 1.20238396559e-07
956 0.0623237315657
977 0.0259348812017
976 0.0842506253677
975 3.78189944888e-07
972 0.000116368158714
971 0.00161878928566
879 2.77253535249e-06
951 7.06187455813e-07
950 2.28090274294e-05
953 0.000109467193523
884 3.2377631804e-05
955 1.4517340715e-06
954 0.0
978 7.81478655113e-05
939 0.00562901495173
1030 0.000547067723482
919 9.61912652873e-07
918 0.000216803270528
933 6.6187492416e-06
932 8.03141818948e-08
931 1.05096966234e-05
930 0.00163041959
937 3.79258536906e-06
936 1.57577219691e-07
935 6.11341511482e-10
934 6.54632511041e-07
995 1.65809973498e-07
994 5.49031949759e-06
892 0.000718858756698
893 1.6526773129e-07
894 2.78682683211e-05
895 6.72313950487e-07
993 6.24632227914e-05
952 1.1902936898e-05
898 3.97061308771e-07
899 1.31705531619e-06
1066 0.718633141121
966 8.43630286236e-05
940 3.09997173665e-07
915 3.12380166905e-06
912 0.000182855300279
1886 5.78388873938e-06
917 7.11896399754e-06
1027 0.0264630204858
901 1.53757956536e-06
948 4.37226428064e-05
904 0.000130669039117
924 0.000652163032352
944 0.000261056177422
909 2.77082077733e-07
1029 1.62651928752e-06
1067 0.000232652428291
910 1.64911689816e-06
928 0.026267350689
1017 9.97735423779e-05
990 0.00388266792829
947 0.00708633207396
923 6.92573349809e-07
1003 6.61561362372e-06
925 4.64244352439e-05
926 3.5273926718e-05
927 4.96291700333e-06