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)
f_models: .alpha init fix 5b5a518be135627bc70354be287f0a36c84cb088 Alex 2020-12-15 20:55:43
f_models.Nataf: prevent from nans in pdfs a4119069f7fdaf11b794f0623daff3dba8997b82 Alex 2020-12-15 08:03:00
f_model.Nataf: fixes 53912fc25e9d048f1ee32039dce32f0b011e470f Alex 2020-12-15 06:55:47
f_models.Nataf: fixes 1bc1d5128d60016be0f29e7c18a818c5a5a243af Alex 2020-12-15 03:56:15
f_models: Nataf model added 914dc13921a65c4bd197c106e57f430b8adca66d Alex 2020-12-15 03:20:47
Juniorstav related commit 31fc92d38d41b7256ba000114237421201af12b9 Aleksei Gerasimov 2020-11-27 21:57:44
gl_plot: allow grid in any space 4c66ae078ad1360198738d0c5ea034d56ee1f6d6 Aleksei Gerasimov 2020-11-14 13:50:09
qt_plot.SimpleSimplexEstimationGraph: zero pf_exact crashfix 7c1e8b475fea406e1bae16f7a5927fc4633bebda Aleksei Gerasimov 2020-11-14 13:35:36
qt_plot.SimpleSimplexEstimationGraph: show labels option added to contex menu d47279afa1e8557f565de75fc6d96fbad60f9e85 Aleksei Gerasimov 2020-11-14 11:49:30
qt_plot.SimpleSimplexEstimationGraph: LogPlot filling fix 560fb62533c39e2d1f91070cad0d0d8b11d815b1 Aleksei Gerasimov 2020-11-14 10:44:20
qt_plot: little improvements 9ea46d85fc2490c7fcdd29c5418c2068d4887575 I am 2020-11-06 04:35:07
dicebox.Chrt: nan issues fix 4fc930a186bc7df6e24d13804c51bb6ccc4b01f1 I am 2020-11-06 04:34:20
qt_plot.SimpleSimplexEstimationGraph: Log plot fix 9197230fb1d133ea371485f7a21c8a9aff1a2591 I am 2020-11-05 07:50:05
qt_plot.SimpleSimplexEstimationGraph: proxy support is ready 58e1c80eb227cc174aac2e8ecae7e741ce951060 I am 2020-11-05 04:47:24
qt_plot.SimpleSimplexEstimationGraph: export to excel is enabled 8590bf8910466f3fa4cac3d013add2688151e96c I am 2020-11-05 01:34:38
qt_plot.SimpleSimplexEstimationGraph: WIP, aspoň teď něco kreslí... a5ea95acfd15369943cd8bc132281322ccf7c1f1 I am 2020-11-05 00:16:19
qt_plot.SimpleSimplexEstimationGraph: WIP f31cd7aad0e351ef7dafcf9d1326d3221c8a9833 I am 2020-11-04 05:37:16
qt_plot.SimpleSimplexEstimationGraph: no more that unbearable colors! 4f4211e8d0c242f5aa06bbab42d8b360078cee38 I am 2020-11-04 04:29:34
qt_plot: add progress dialog ba5f738745100fbbb4b657910fed610e61039ee0 I am 2020-11-04 03:34:21
qt_plot:TriEstimationGraph: WIP 58d98e0775b55bda449c4c7b7e7eac1a2f573097 I am 2020-11-04 02:32:37
Commit 5b5a518be135627bc70354be287f0a36c84cb088 - f_models: .alpha init fix
Author: Alex
Author date (UTC): 2020-12-15 20:55
Committer name: Alex
Committer date (UTC): 2020-12-15 20:55
Parent(s): a4119069f7fdaf11b794f0623daff3dba8997b82
Signer:
Signing key:
Signing status: N
Tree: e57ab9924910bc51496c45aff2812c1a19a435d6
File Lines added Lines deleted
f_models.py 3 3
File f_models.py changed (mode: 100644) (index 8bb687b..a911016)
... ... class SNorm:
110 110 if alpha is None: if alpha is None:
111 111 self.alpha = np.ones(nvar) self.alpha = np.ones(nvar)
112 112 else: else:
113 self.alpha = self.set_alpha(alpha)
113 self.set_alpha(alpha)
114 114
115 115 # nemusím duplikovat a dědit # nemusím duplikovat a dědit
116 116 set_alpha = set_alpha set_alpha = set_alpha
 
... ... class UnCorD: # nic moc nazev, ale je přece lepší nez CommonJointDistribution
330 330 if alpha is None: if alpha is None:
331 331 self.alpha = np.ones(self.nvar) self.alpha = np.ones(self.nvar)
332 332 else: else:
333 self.alpha = self.set_alpha(alpha)
333 self.set_alpha(alpha)
334 334
335 335 # nemusím duplikovat a dědit # nemusím duplikovat a dědit
336 336 set_alpha = set_alpha set_alpha = set_alpha
 
... ... class Nataf: # quick'n dirty
608 608 if alpha is None: if alpha is None:
609 609 self.alpha = np.ones(self.nvar) self.alpha = np.ones(self.nvar)
610 610 else: else:
611 self.alpha = self.set_alpha(alpha)
611 self.set_alpha(alpha)
612 612
613 613 # nemusím duplikovat a dědit # nemusím duplikovat a dědit
614 614 set_alpha = set_alpha set_alpha = set_alpha
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