iam-git / WellMet (public) (License: MIT) (since 2021-08-31) (hash sha1)
WellMet is pure Python framework for spatial structural reliability analysis. Or, more specifically, for "failure probability estimation and detection of failure surfaces by adaptive sequential decomposition of the design domain".
Clone URLs: https://rocketgit.com/user/iam-git/WellMet ssh://rocketgit@ssh.rocketgit.com/user/iam-git/WellMet git://git.rocketgit.com/user/iam-git/WellMet
release trunk
List of commits:
Subject Hash Author Date (UTC)
convex_hull.QHull: normal fix 083bbdc4cb41fdb3e357b1d0359705a2a65d6d27 I am 2023-01-20 19:07:17
convex_hull.QHull: implement chi cubature integration 7537b642967b7dd5d8475c20aff2a930a5bcd3ad I am 2023-01-20 15:54:05
convex_hull: implement QHullCubature class 6f1b51ba6fe281f7cae4f44889db96787d916a99 I am 2023-01-20 10:46:54
convex_hull.QHull: add proof-of-concept get_inside() method 6013fbac742d6070771d7798c928538ebc54495e I am 2023-01-19 10:19:32
whitebox: add r exact for common nD boxes 7c4ab62f069f0efeb48a403dac5d27033003ded2 I am 2023-01-17 15:09:08
qt_gui: improve GRaph to show r-R bounds 59fa5bde7be2197b1f739bd1f829f927cef62603 I am 2023-01-17 14:26:16
dicebox.circumtri: calculate event's radia c6868cfbde7c8a86b73217da544f60e94a117bd8 I am 2023-01-16 06:12:34
simplex.Triangulation.get_averaged_mixed_normals: implement deep averaging 6dfb056e477479331c7a903ea52a98301fca4e71 I am 2023-01-15 23:26:43
replace flatten() by reshape(-1) everywhere. The former always allocates new array 97b35c989a5ad8e459bb60133222d50c7f78e1f0 I am 2023-01-15 12:04:30
qt_gui.qt_gui: explicitly export sample_box to console's namespace dd2e50245157082ddb645b693a8a8c573215d50c I am 2023-01-15 11:42:01
replace everywhere np.bool by just bool (it looks like newer numpy dropped it) ac208f89bbf0ad76d38790686041ea778a9b6376 I am 2023-01-15 11:31:56
simplex._Triangulation: implement averaged gradients() f6608597cf490dd6cf1a6af3b7d8e6d0a72732d9 I am 2023-01-15 09:37:14
add line and two lines problems for sensitivity analysis 0c620f7960399ed8b34e02d663772d0eb34e66f1 I am 2023-01-14 08:30:56
simplex.FullCubatureIntegration.get_sensitivities: do not normalize global gradient c648c484a5599a00236ab70c36cdf407c24f5306 I am 2023-01-14 04:51:16
simplex: implement sensitivities 65056319c51fd93deb76ce14e52c08869dfc04a2 I am 2023-01-13 11:27:46
mplot.maxes: prepare GRaph plot 68774535915af3deaf6104a0bbe9b3c4d24c0cec I am 2023-01-12 02:43:20
mplot.mgraph.tri_estimation_plot: use planar vertex estimator 1d300fa56248be9cdab5a4e5b0d4372f68fd5255 I am 2023-01-11 15:48:28
mplot.mart: implement lsf_boundary() contouring 8642d2f0c043f4e71af1cc45b9e25da326afd3ca I am 2023-01-11 05:20:00
mplot.mart.setup_labels: make labels more adaptive 60cd0b34a67b38df1c730dddc9e0771139818f33 I am 2023-01-11 04:35:47
simplex._SamplingTriangulation: self reference fix 79204ff15cba7c5ca24bb5b48e2073058acf00ae I am 2023-01-11 03:21:34
Commit 083bbdc4cb41fdb3e357b1d0359705a2a65d6d27 - convex_hull.QHull: normal fix
Author: I am
Author date (UTC): 2023-01-20 19:07
Committer name: I am
Committer date (UTC): 2023-01-20 19:07
Parent(s): 7537b642967b7dd5d8475c20aff2a930a5bcd3ad
Signer:
Signing key:
Signing status: N
Tree: 1213d5e38737d05ccd0cd681f61b0364085be9ab
File Lines added Lines deleted
wellmet/convex_hull.py 9 6
File wellmet/convex_hull.py changed (mode: 100644) (index 520661e..c3e3427)
... ... class QHull:
1078 1078 chi_pdf = stats.chi.pdf(r, nvar) chi_pdf = stats.chi.pdf(r, nvar)
1079 1079 norm_pdf = np.prod(stats.norm.pdf(x), axis=0) norm_pdf = np.prod(stats.norm.pdf(x), axis=0)
1080 1080
1081 r_vectors = x / r[None, :, :]
1082
1083 normals = np.sum(r_vectors * hull.A.T[:, :, None], axis=(0))
1084
1081 1085 # cdfs /= r # cdfs /= r
1082 1086 # cdfs /= nvar * 2 * np.pi # cdfs /= nvar * 2 * np.pi
1083 1087
1084 1088 # n_values x nsimplex x scheme_points # n_values x nsimplex x scheme_points
1085 return cdfs * norm_pdf / chi_pdf
1089 return cdfs * norm_pdf / chi_pdf * normals
1086 1090
1087 1091
1088 1092
 
... ... class QHull:
1099 1103 shell = hull.shell.p_shell shell = hull.shell.p_shell
1100 1104
1101 1105 chi_outside = hull.get_chi_outside() chi_outside = hull.get_chi_outside()
1106 orth_outside = hull.get_orth_outside()
1102 1107
1103 1108 r_outside = outer + shell r_outside = outer + shell
1104 if chi_outside > r_outside:
1105 outside = r_outside
1106 else:
1107 outside = chi_outside
1109 outside = min(r_outside, chi_outside)
1110 outside = max(outside, orth_outside, outer)
1108 1111
1109 1112 return QHullEstimation( return QHullEstimation(
1110 1113 hull.sample.nvar, hull.sample.nvar,
 
... ... class QHull:
1115 1118 shell, shell,
1116 1119 outer, outer,
1117 1120 chi_outside, chi_outside,
1118 hull.get_orth_outside(),
1121 orth_outside,
1119 1122 #'tn_scheme', #'tn_scheme',
1120 1123 #'tn_scheme_points', #'tn_scheme_points',
1121 1124 1 - outside, 1 - outside,
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