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.Ghull.rvs: ensure at least one node outside 1c6d05935c83d11637ae566528cf65eb384215b5 I am 2021-06-19 19:04:40
convex_hull.Ghull: add nonGaussian hulls support, fix MC integration 3e10c2cefff5f3e204c1d4118b195e37023a5a57 I am 2021-06-19 17:44:09
mart: add qhull polygon c3da6bdd1b6412f178c828c1eb1a6368a02eb74c I am 2021-06-18 23:27:48
dicebox.Goal: implement csv export odhadů abdb28f509e664c039a6e5ca4bf1036d00957349 I am 2021-06-15 15:06:15
reader: add export_estimation function. Jednoduchý jako busy ef8fcada4b01be8db29836aa09459d8a7ef382b6 I am 2021-06-15 03:08:53
convex_hull: add meaningless method 96a86b7eabceb15e6c937932c2002409c2df0178 I am 2021-06-14 16:35:39
dicebox: new brand box named Goal is ready 725c2561b62769af6034c690005d1d22e6af41c7 I am 2021-06-05 13:40:15
convex_hull: last node fix in fire() function ca938c11398dfb2e16441b989902dab1558336b3 I am 2021-06-05 13:25:55
convex_hull: small fix for QHull under single simplex integration b0b236cd14ae614ecd1310b8c7cfcafe8d1b0851 I am 2021-05-30 05:57:45
convex_hull: ensure Ghull to always have some nodes for expansion 7110d521d9fece58639a359c83773df904b1177f I am 2021-05-29 07:03:49
dicebox: throw away plot dependency, simplify increment function 1cf0c481b8df1937ff7eda6e0373d5d6a72387db I am 2021-05-28 16:42:19
simplex: add JustCubatureTriangulation class separated from Shull ea291f9deee9f3b5b8615ae1f14a49aecd327461 I am 2021-05-28 16:39:58
mart: add convex_hull routines 90105552e7aecf3df8e84a1f5c4bdc1b04be249b I am 2021-04-25 20:11:34
convex_hull.Ghull: try to outthink OS's memory management 116444dc08cc0261e149de02f21f14f74dc8816b I am 2021-04-25 08:02:25
convex_hull.Ghull: in case of memory error divide ns by 3 0f629139f7926107b0b4eeb55452e745a2c23487 I am 2021-04-25 06:50:02
convex_hull: memory failsafe integration 7624e4b81526d3944f1a5ac74d298dee792c3085 I am 2021-04-24 08:06:27
simplex: delete ghull-related stuff (moved to convex_hull module already) f514adf959a9a2a9b7806b3cde81f78faf04539d I am 2021-04-19 17:04:54
convex_hull.QHull: change enough_points into property ae4f9b4d70bb43556874bc6d698cb1cc09ad9430 I am 2021-04-19 17:02:35
qt_plot: add support for "just nodes" da0e307ab0a21e565031789260a9160c5ff1b011 I am 2021-04-19 07:33:12
sball.Shell.rvs(): inverse linspace (wouldn't produce NaNs) 58452888a47230ab30c56bc33f5e3c780e60c752 I am 2021-04-18 03:26:21
Commit 1c6d05935c83d11637ae566528cf65eb384215b5 - convex_hull.Ghull.rvs: ensure at least one node outside
Author: I am
Author date (UTC): 2021-06-19 19:04
Committer name: I am
Committer date (UTC): 2021-06-19 19:04
Parent(s): 3e10c2cefff5f3e204c1d4118b195e37023a5a57
Signer:
Signing key:
Signing status: N
Tree: ed9bba34a0eb2ea5e04c12609d7e94b2cb08f8cb
File Lines added Lines deleted
convex_hull.py 6 1
File convex_hull.py changed (mode: 100644) (index 2e8612d..72054b0)
... ... class Ghull:
662 662 # generate sampling probabilites # generate sampling probabilites
663 663 left = (ns-nsampled) / ns left = (ns-nsampled) / ns
664 664 right = (ns-nsampled-seats) / ns right = (ns-nsampled-seats) / ns
665 p = np.linspace(left, right, seats, endpoint=False) # probabilities for the radius
665 #č přidáme trochu zmatku.
666 #č globálně jdeme r->R, localně ale R_i+ -> R_i-
667 #č menší poloměry musejí jít dřív - na to zavazano nonGaussian _r
668 #č převracení lokalně umožní vždycky mít alespoň jeden bodík outside,
669 #č což je taky velmi vhodné, vzhledem k tomu, že _r bere z outside bodíků
670 p = np.linspace(right, left, seats, endpoint=False) # probabilities for the radius
666 671
667 672 # convert probabilitites into random radii # convert probabilitites into random radii
668 673 # (distances from origin that are greater than r and less than R) # (distances from origin that are greater than r and less than R)
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