Key | Value |
---|---|
FileSize | 241320 |
MD5 | 4C622C7B7AC37977D784C7A2A13B9BF7 |
PackageDescription | examples 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. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | openturns-examples |
PackageSection | science |
PackageVersion | 1.9-5 |
SHA-1 | 41A80B3CFAD0128AB5CC9DCB542CBCE6DA999148 |
SHA-256 | AE5D78C735B713CC7B0B8FCCA463CCA97589596AF74AE74908F38D18B106A892 |
hashlookup:children-total | 896 |
hashlookup:trust | 50 |
The searched file hash includes 896 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/share/openturns/examples/t_BernsteinCopulaFactory_std.py |
FileSize | 854 |
MD5 | 7A77491083198981F283E298CBAF7096 |
SHA-1 | 00DCF8D54B06FAE8254CEC3341CEDCF0C68955F6 |
SHA-256 | D94D4DF3D3D1743905461A22E12C46FDD5765B0F85E7C24403EA013A6DF0D9E0 |
SSDEEP | 24:AbuQccWy/9UbslQS6sAbeXAXHGG98pxyXNjgWVvYR0Gq:Ab4beQSAbaPG98ihFYRZq |
TLSH | T1600189656604AC35D1D3AC2D68B78256835F309348B824B5BBCC43A59FB03D9AD34DBE |
Key | Value |
---|---|
FileName | ./usr/share/openturns/examples/t_KrigingAlgorithm_std.py |
FileSize | 2803 |
MD5 | A5A45E7A8F49B35279644DB7E555CE7A |
SHA-1 | 01102C6DA1E36675909FA21368FEA7FA8E3F3B8C |
SHA-256 | D02C631B8CEDF660CD4F19C52B251495EB70CC4720B4C68BCD3FC48E394D6009 |
SSDEEP | 48:AbyyC3CQX9bNvmINGcs49tB49U49GRi4NhJ4f4jszWTqDzDL8OOsEe7SmJzob4ZT:0yZyk9bNd/9U9b9GXNhJ/4zWTqDzXfO6 |
TLSH | T1F551A58EEAD139A401CF63F790CFD52B853996827EED1050609D8361175B007BBB6B1F |
Key | Value |
---|---|
FileName | ./usr/share/openturns/examples/t_Analytical_std.py |
FileSize | 1893 |
MD5 | C8A54360B78A018E62978AFFF0A9B42D |
SHA-1 | 01DAEC3ACC2C9A5127E0DAB00F983C5B59448BFA |
SHA-256 | 3E35808E11A0293A17C29F2F974BE7FE9C2462AC842106E7669F56625F6D2CDE |
SSDEEP | 24:AbuQiBcQBQyqF0vJlhV/gVEZCzM4KxgfLwr2AIcfbdbUe3kFKYI7:AbIc6Qyq2ckx9BbUbFKYI7 |
TLSH | T1B94100287B01167507C792228FE9B018A76568E330F93C3474DEC9697F2F891DB5A739 |
Key | Value |
---|---|
FileName | ./usr/share/openturns/examples/t_RegularGrid_std.py |
FileSize | 609 |
MD5 | C809CC60E323BEC2604AE262ADCA2397 |
SHA-1 | 023FF796A17AB5E25745AF021B7B6F11384075C0 |
SHA-256 | C0069592810FCD0D4746F48A34EDBBCB9E9C236FB138CC84CD530D7DE4966BBE |
SSDEEP | 12:9KjPiWbKBVU9mzpp5QVv37nbGxBDex9YjcdcEvZkon:AbuQQ9p5QVv37nqx0YjcdB7 |
TLSH | T1BBF0469AC5FF3E8B460654B9EC469710161B1B3B5D69F81DFE9C07804FA802B600CB3A |
Key | Value |
---|---|
FileName | ./usr/share/openturns/examples/t_Normal_large.py |
FileSize | 3790 |
MD5 | E4A194287CF50657BFBAF6D9E44B8395 |
SHA-1 | 027D91A31CEAFC49242B1FAA0041D5E6CB7B4071 |
SHA-256 | 8D5974B7E18689BF0C930DA93E235BF2D20DA13D6F75F1A06537CD98B2D4B2D5 |
SSDEEP | 48:AbEGm0UqxWTMEWz8P/tc3O3O2cnl5FOXj7lURWTMEWrYSE:0ER5uivWzGc3OAFOSRivWrK |
TLSH | T1B87100329C501C458397405AE8E6A00A761BA65357EA7829FDCC82592F1F032EBB5BF7 |
Key | Value |
---|---|
FileName | ./usr/share/openturns/examples/t_HaltonSequence_std.cxx |
FileSize | 2218 |
MD5 | 390680536CCF5F30921876E940877928 |
SHA-1 | 02A02441D3BCAB96095079E3F9052E3C604FDBE4 |
SHA-256 | A1A04FD5ABAF73FB492CB5270F574035FB09881C14772AC6AF5B7EC4CCE037FE |
SSDEEP | 48:9ZdW0qHy3HuJIuE5atXAy8jCwOr5fyQix/Mchx44eKs:9j80uLQZk7ixUAq4eKs |
TLSH | T13541728F80224633C9570A31ABCA11C6A617C0473AFDD650352F97AB6F4A9C15BF5FB4 |
Key | Value |
---|---|
FileName | ./usr/share/openturns/examples/t_RiceFactory_std.py |
FileSize | 1101 |
MD5 | BE95E4E5CC180EEFFF363B66305B1387 |
SHA-1 | 02B519768B8829DCD000446543BB3242291A1EF3 |
SHA-256 | 22DD22DCA64C435932E12C0BD90D1153E171D4EF25F1AD35AE1BF375864C5893 |
SSDEEP | 24:AbuQkR2lzL7W9+j7WlmL27WgJy2SGgAFxvJBPYDRd7:AbCMFW9+nWOcWhVG7Yn7 |
TLSH | T1F111F63419881A408FC36AD5DD0FD110B72A102B30ADB138B8DEC5502F6F179D6BE6A2 |
Key | Value |
---|---|
FileName | ./usr/share/openturns/examples/t_RandomVector_constant.py |
FileSize | 947 |
MD5 | 9B2EDF05F937AB671CAD8902511088C1 |
SHA-1 | 02E8AFC21CD28C2111C8BA8C53CA4626D0E221F5 |
SHA-256 | D49948D9CBFC5B70DA9184B7117B6C0265824B98518B194F7FF9C3DD7025FA58 |
SSDEEP | 12:9KjPiWbKBVEEkyoaF7WrHFGh2oCgcRoTFKRaO6Z+2SfFsKmtzwDex9YEnmZkon:Abu53oaF7WrHIhlnTF13zk6dxYEnG |
TLSH | T16C118010B4201DA50BDB589AEC52E80A622B64E360D935A4FEDCC304EF65152EF36F2F |
Key | Value |
---|---|
FileName | ./usr/share/openturns/examples/t_ProcessSample_std.cxx |
FileSize | 3683 |
MD5 | 6922BB85A3FAAAD88858513ECE8CB042 |
SHA-1 | 0325F3EE19A70EED60BF659770D85B3EC33B1789 |
SHA-256 | 475A90461C79439CB5B7111DC9BB3D73FE6499258FB1C0BBD6DEDF2C474C8957 |
SSDEEP | 96:lZ0ufu+jfoBnMEDisOOASaZjx9BjLzGOBmbwuMdIYi/JPbJJQ0Q0tsc5KC:z0uzjMMMi7DZjx/XzNBqwDixPbJJQ0Q2 |
TLSH | T1DB71ED09A521A77248EF1D20EFDE30C76286411BABF8E5503A2F97163F0795133A17AE |
Key | Value |
---|---|
FileName | ./usr/share/openturns/examples/t_Weibull_std.py |
FileSize | 6664 |
MD5 | 8AE4499DD73B6866D5F14B9B3F084C78 |
SHA-1 | 044FC2F2E683385449547532422A45D924E1FE16 |
SHA-256 | 83F7E47ABAB2D16D08E2BAA0AB14BFB5637E2E69F5E1991F02EDD652761111CE |
SSDEEP | 48:AbtiQuM6vP/CVcfDCva/lfTCYIocCVaGITxe1tubYy77W3M2HUY4svj3udvNh9Qd:0tD56vP/5D00RdHcYke1S7UFZudlExdZ |
TLSH | T1E2D197715C805A965BE325C9DE225016E22B411F60DA397CBEDC82606F1F8B7C633BB7 |