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".

Mode Type Size Ref File
100644 blob 30048 5e55e0e778b4da4c346793c1cd39f5490172b885 IS_stat.py
100644 blob 6 0916b75b752887809bac2330f3de246c42c245cd __init__.py
100644 blob 72 458b7e2ca46acd9ec0d2caf3cc4d72e515bb73dc __main__.py
100644 blob 11243 10c424c2ce5e8cdd0da97a5aba74c54d1ca71e0d candybox.py
100644 blob 6756 96dc8d8a1448e7aef0d0f6b6f6639923cf868951 candynodes.py
100644 blob 50875 e8774b945287edead11dd5f9e76b5f23ca9cbb0a convex_hull.py
040000 tree - baa64277904b528ac85e9985c900f0793d03673f dicebox
100644 blob 36893 da765e2d8dfdaf3e9a2f844a228dba1aa27e1967 estimation.py
100644 blob 52580 a255b1467d21b359b48c1dad8190f7163a7617b3 f_models.py
100644 blob 43023 10e5f2a251124af511b60134f9761cc0456c5165 g_models.py
100644 blob 21042 3e10fd24fab7f42a91515ab889322716e2958f68 ghull.py
100644 blob 2718 5d721d117448dbb96c554ea8f0e4651ffe9ac457 gp_plot.py
100644 blob 29390 0e17ed6fcc093f0fd22e4571415fe9a0bff6d415 lukiskon.py
100644 blob 3234 1820a0defee7802a776124d9f0aa6198d6976d28 misc.py
040000 tree - c0be58eeab716038bfad9cea60168cb0ed8e6a92 mplot
040000 tree - add6a6d6037bcfc1d10810f759bb5fcf55577f13 qt_gui
100644 blob 10978 ce6a26a0d68dee5238a0d837d5ed849e2904ea75 reader.py
100644 blob 4416 e6e7459d72b68021d35d6a5bb342c7eff3b13476 samplebox.py
100644 blob 6558 df0e88ea13c95cd1463a8ba1391e27766b95c3a5 sball.py
100644 blob 6739 0b6f1878277910356c460674c04d35abd80acf13 schemes.py
100644 blob 76 11b2fde4aa744a1bc9fa1b419bdfd29a25c4d3e8 shapeshare.py
100644 blob 8309 8d520b8a1efb95b841ecb98c88553ef30e37575e shell.py
100644 blob 134283 a5dcf55ef3fa8c2a9647b6d98c87b11c762beb0b simplex.py
100644 blob 13090 2b9681eed730ecfadc6c61b234d2fb19db95d87d spring.py
100644 blob 10953 da8a8aaa8cac328ec0d1320e83cb802b562864e2 stm_df.py
040000 tree - ee8b69e77b4a026db47e1b82434870dbf4c46a83 testcases
100644 blob 47956 655f090b64791ec71c5356a81f355a16e970eb49 voronoi.py
100644 blob 2465 d829bff1dd721bdb8bbbed9a53db73efac471dac welford.py
100644 blob 32101 8ab0190743472efe31b4512f60f9697bc9ecd4a5 whitebox.py
100644 blob 26468 fe3d1696310ae6a9f744caa9a07d2186495025aa wireframe.py
Hints:
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