Result for 88D494F62AADC4390DF75FC89C3A3AE2154CC54B

Query result

Key Value
FileSize294028
MD5A8123E3EC44C988630A23120A2114939
PackageDescriptionexamples of OpenTURNS functionalities OpenTURNS is a powerful and generic tool to treat and quantify uncertainties in numerical simulations in design, optimization and control. It allows both sensitivity and reliability analysis studies: * defining the outputs of interest and decision criterion; * quantify and model the source of uncertainties; * propagate uncertainties and/or analyse sensitivity and * rank the sources of uncertainty . OpenTURNS is a large project with more than 300 C++ classes which uses well known and supported software such as R for the statistical methods and BLAS/LAPACK for the linear algebra. . This package provides examples which are written either in C++ or in Python. . They are primarly used as validation tests for the whole platform but they can also be seen as tutorials for beginners.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNameopenturns-examples
PackageSectionscience
PackageVersion1.11-2+b1
SHA-188D494F62AADC4390DF75FC89C3A3AE2154CC54B
SHA-25635EB460B228E1FDD0462398097EF6EC192A0719745CCBC314C6D568C51B96812
hashlookup:children-total955
hashlookup:trust50

Network graph view

Children (Total: 955)

The searched file hash includes 955 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/share/openturns/examples/t_RandomMixture_simplification.py
FileSize4275
MD52C5CFB0A641C05FD7205CE5E060DA724
SHA-1014F85E2F6254306EF4EFC3081E32E9912EF9CAB
SHA-256B4015A5D15F982B8F357506315854EBE355064D6DA9BDE2555B3AF85B8D3FB33
SSDEEP96:0EHeWM27y/mO6ZXrBO+hBqhBdId3LbOG3re73LK5iCma91aaCYXgY4w/YXH4w/2K:0SeWQ/C++MzybbOGS7b4ma91anYXgYjk
TLSHT11D917CA328C2DC2852CF5628D8666505EF5268E32CC63448B10F8DB21FA7D75DEB5E73
Key Value
FileName./usr/share/openturns/examples/t_RegularGrid_std.py
FileSize609
MD5C809CC60E323BEC2604AE262ADCA2397
SHA-1023FF796A17AB5E25745AF021B7B6F11384075C0
SHA-256C0069592810FCD0D4746F48A34EDBBCB9E9C236FB138CC84CD530D7DE4966BBE
SSDEEP12:9KjPiWbKBVU9mzpp5QVv37nbGxBDex9YjcdcEvZkon:AbuQQ9p5QVv37nqx0YjcdB7
TLSHT1BBF0469AC5FF3E8B460654B9EC469710161B1B3B5D69F81DFE9C07804FA802B600CB3A
Key Value
FileName./usr/share/openturns/examples/t_Mixture_std.cxx
FileSize9420
MD5E7850BC1175897C8F9D9309E627B4A9F
SHA-1027D2B2D19F5AAC120A7066509E84D6C07408F64
SHA-256DC34AF682B74E86173CEAF3BDF9B5DDE049F2CF94B7EB51D902222EEC9685C49
SSDEEP192:t0ngByTg1lmZI/iH7SUzb7yl0Bc6CNKV8ktYrGCKs:t0s2i+V8kmrG/s
TLSHT1BC12F221A8525A66AAE71E55EB4D01577423800B7FB4F668378F4B073F0F803E5B266B
Key Value
FileName./usr/share/openturns/examples/t_Normal_large.py
FileSize3790
MD5E4A194287CF50657BFBAF6D9E44B8395
SHA-1027D91A31CEAFC49242B1FAA0041D5E6CB7B4071
SHA-2568D5974B7E18689BF0C930DA93E235BF2D20DA13D6F75F1A06537CD98B2D4B2D5
SSDEEP48:AbEGm0UqxWTMEWz8P/tc3O3O2cnl5FOXj7lURWTMEWrYSE:0ER5uivWzGc3OAFOSRivWrK
TLSHT1B87100329C501C458397405AE8E6A00A761BA65357EA7829FDCC82592F1F032EBB5BF7
Key Value
FileName./usr/share/openturns/examples/t_GeneralLinearModelAlgorithm_std_hmat.py
FileSize1835
MD5D7B4BF9886D89EB77464A7BD43B7023D
SHA-10281E2546798AA47C0AA32699F544AC438A2FE33
SHA-256D0327D1D1F98FEF7031C48D68F50CDBF83F42776EE1F968B232BFC8880DEE04E
SSDEEP48:AWy4H5bvE7oevdvzXplXHX4qtjEvUEw49aE45zYC:BlH5bQo8Bbp1xtovLX92ZV
TLSHT196310F1A98403CA1532782D5B8DE82114BBAF2A3BFAC2850B58C83501F59B267B13F2D
Key Value
FileName./usr/share/openturns/examples/t_OptimalLHSExperiment_std.py
FileSize7457
MD57E38377ECFBD147D708AEE052C606470
SHA-102B1E425B880BACCF680B3787D3E2EC0C4C34895
SHA-256912D15DEB87741941492401B7D432784BB8AE13C30B1191A48C1B1A7388EA135
SSDEEP96:BW5gYIchprJWgDRnxJDOLjxbtDORDtdBHD1RszBKONy0gGDpRszBKO16MtHnHmeR:Bx2VJBxMxbmzBj1RkpRCHjR6RPv6Ee
TLSHT1BFF11365ECE700FD1EC6F2F8DD598002F62504EACA792518ADDC849EE231056EF9E7B1
Key Value
FileName./usr/share/openturns/examples/t_RiceFactory_std.py
FileSize1101
MD5BE95E4E5CC180EEFFF363B66305B1387
SHA-102B519768B8829DCD000446543BB3242291A1EF3
SHA-25622DD22DCA64C435932E12C0BD90D1153E171D4EF25F1AD35AE1BF375864C5893
SSDEEP24:AbuQkR2lzL7W9+j7WlmL27WgJy2SGgAFxvJBPYDRd7:AbCMFW9+nWOcWhVG7Yn7
TLSHT1F111F63419881A408FC36AD5DD0FD110B72A102B30ADB138B8DEC5502F6F179D6BE6A2
Key Value
FileName./usr/share/openturns/examples/t_LogNormal_std.py
FileSize7054
MD56C32B89617990563679E1B4808A7A54E
SHA-102D0AB6E984B676D4EDE02F7D962D694B07B43D7
SHA-25653009FB555F8837DF399BF0F39BC8B6811A328439E0A9CA6528920FD4491E919
SSDEEP96:0k56vP//D00RdVgW0qcYMe0Zw7DVFZudlExA:0k5OYegW0q/piw7xrOiA
TLSHT12AE1B6706C801A965BD325C9DE655006A23B051FA0EE396CBDCC82642F1F877D633BB7
Key Value
FileName./usr/share/openturns/examples/t_RandomVector_constant.py
FileSize947
MD59B2EDF05F937AB671CAD8902511088C1
SHA-102E8AFC21CD28C2111C8BA8C53CA4626D0E221F5
SHA-256D49948D9CBFC5B70DA9184B7117B6C0265824B98518B194F7FF9C3DD7025FA58
SSDEEP12:9KjPiWbKBVEEkyoaF7WrHFGh2oCgcRoTFKRaO6Z+2SfFsKmtzwDex9YEnmZkon:Abu53oaF7WrHIhlnTF13zk6dxYEnG
TLSHT16C118010B4201DA50BDB589AEC52E80A622B64E360D935A4FEDCC304EF65152EF36F2F
Key Value
FileName./usr/share/openturns/examples/t_Normal_large.cxx
FileSize5490
MD567FFF369A57F40E7F4838215B01AD77C
SHA-10354ABA40A96009F65AC0F118F7B48D1B59B7498
SHA-256956CD27B5F98012DEA70FE98CB97C69C2E1EB37660A3185C04B025D0EA6E9393
SSDEEP48:X0q0qHy3H1IuE5atXArFfo/g38zkiKBU3XMZObzP2+YQFn5D+cfcUIiKB2KHKC:D0nQrFsFkiKBuXiObTCQFnENiKBZKC
TLSHT199B14323A85109255AE70D65A7AC428B740381479FF0FA547B8F4B176F0F4529AF0AB3