Result for 0204A516C0534EF7A1B54D97C59CA381C9C70FA5

Query result

Key Value
FileName./usr/share/openturns/examples/t_RandomVector_composite.cxx
FileSize3342
MD597DB60811CA56EC47D1C01F5CC918F6F
SHA-10204A516C0534EF7A1B54D97C59CA381C9C70FA5
SHA-2562771C3C232784AC98D7D9441E6414B519F9C2C2111C744E0AC0D4BDE6FEABC69
SSDEEP48:Xgng0qHy3H1IuE5atXmjTgpEiaV0Gxc43r3G34mqLcIjDLhsMKC:Q60n6TgGiTGxc4bWImqwIjDLhsMKC
TLSHT12D610105B8225A3606E32E71FF9E014AA03790477FB5A5943A0E57076F0B69253B2F6A
hashlookup:parent-total6
hashlookup:trust80

Network graph view

Parents (Total: 6)

The searched file hash is included in 6 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize313988
MD5582637006E0944EF2A22E4F2EBAB360A
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 . Targeted users are all engineers who want to introduce the probabilistic dimension in their so far deterministic studies. . This package provides C++ and Python examples.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNameopenturns-examples
PackageSectionscience
PackageVersion1.14-1+b2
SHA-1525EAE622F439326FC14CF0098CE918F68E747D3
SHA-2569468B551E2B122FDE702D55E158E61F92FC7FDBE83E45A90E92482AFA55F1093
Key Value
FileSize313964
MD5FD5D5EECC736ADB493CBF917B475915D
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 . Targeted users are all engineers who want to introduce the probabilistic dimension in their so far deterministic studies. . This package provides C++ and Python examples.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNameopenturns-examples
PackageSectionscience
PackageVersion1.14-1+b2
SHA-13ED39E3BFC1A87F68B2DF0A593E23D7D08DE9DB5
SHA-256D27B3A9ADBAFF1FEF2B6B2B15004329F2A0FC557073898341AFCF64918A6B654
Key Value
FileSize314008
MD565996A509EE7A048C426155AE8FE7C22
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 . Targeted users are all engineers who want to introduce the probabilistic dimension in their so far deterministic studies. . This package provides C++ and Python examples.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNameopenturns-examples
PackageSectionscience
PackageVersion1.14-1+b2
SHA-19811034E6E0143592B547F836C2F135672859AEA
SHA-256ECC35C0CC97DC82DC9707AFBB3B0DCBE39112AED72C9A6163FF4C6C0CDEB14E3
Key Value
FileSize272764
MD50C76559515EC1DFBD379F98E8EAC5E7C
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 . Targeted users are all engineers who want to introduce the probabilistic dimension in their so far deterministic studies. . This package provides C++ and Python examples.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNameopenturns-examples
PackageSectionscience
PackageVersion1.14-1ubuntu3
SHA-1FF006400B61D5EF77EDFBA9966E58E30C97E2FBC
SHA-256D0B7D93AB429E994CA003AA6EB7C9931EED51A3B9FEBE5CF0B3E825F96B646A7
Key Value
FileSize314016
MD5F8E01AC7BCCD14265BE90936C896C0BB
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 . Targeted users are all engineers who want to introduce the probabilistic dimension in their so far deterministic studies. . This package provides C++ and Python examples.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNameopenturns-examples
PackageSectionscience
PackageVersion1.14-1+b2
SHA-1A49F6C6E5E9C9001249449BEFD2A84F860469FE8
SHA-2569F90AAB9B5930D311474EAD06ED47BB7EFF1D14590F9188F857CEFB236637ABC
Key Value
FileSize272756
MD58614B515E55FF72F02768591F1617A47
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 . Targeted users are all engineers who want to introduce the probabilistic dimension in their so far deterministic studies. . This package provides C++ and Python examples.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNameopenturns-examples
PackageSectionscience
PackageVersion1.14-1ubuntu4
SHA-16CCBE669BDD324A3D6A9BF6CE69EF6E86BC343FC
SHA-25604E59FD46A5F5F32E3407469F3DE893646069B4FC372BF5FA83F26A753E62250