Result for 6C7F1E56904DB79CF2BABDEA3C884962F84DAF0B

Query result

Key Value
FileName./usr/lib64/root/libUnuran.so
FileSize14
MD5A515FCE08C965A2A2F3BB318714461BA
SHA-16C7F1E56904DB79CF2BABDEA3C884962F84DAF0B
SHA-256D1F8D1D96BCDB5574EF55AFF76B3F501BD7C701D45F9DDE33503AD29B940CDFC
SSDEEP3:EwLC+LQn:Ewep
TLSH
hashlookup:parent-total12
hashlookup:trust100

Network graph view

Parents (Total: 12)

The searched file hash is included in 12 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5A5ECACC8C52BBF7144DFA6F9121C1045
PackageArchi686
PackageDescriptionContains universal (also called automatic or black-box) algorithms that can generate random numbers from large classes of continuous or discrete distributions, and also from practically all standard distributions. To generate random numbers the user must supply some information about the desired distribution, especially a C-function that computes the density and - depending on the chosen methods - some additional information (like the borders of the domain, the mode, the derivative of the density ...). After a user has given this information an init-program computes all tables and constants necessary for the random variate generation. The sample program can then generate variates from the desired distribution.
PackageMaintainerFedora Project
PackageNameroot-unuran
PackageRelease3.el6
PackageVersion5.34.38
SHA-164AC4052C5A201E049BCF62A9B79D90638F463B8
SHA-2569E77831F2BF7682FB17BF0A8A993442F6B832943664477E6F1F5DB60DD8AC880
Key Value
MD531FE6D61999ECA2E55DEC773FF06DA9E
PackageArchppc
PackageDescriptionContains universal (also called automatic or black-box) algorithms that can generate random numbers from large classes of continuous or discrete distributions, and also from practically all standard distributions. To generate random numbers the user must supply some information about the desired distribution, especially a C-function that computes the density and - depending on the chosen methods - some additional information (like the borders of the domain, the mode, the derivative of the density ...). After a user has given this information an init-program computes all tables and constants necessary for the random variate generation. The sample program can then generate variates from the desired distribution.
PackageMaintainerKoji
PackageNameroot-unuran
PackageRelease1.fc18
PackageVersion5.34.02
SHA-10FB84ACDDF6A693F11360401663201FE657A085F
SHA-256B52A4F01CAC5E290FD348A4BEC87037F1B2B853CE1C9F42FD6ED8CBC4E3BD41C
Key Value
MD5069F02EB6BF5153DC4060B7BBB1DE5E6
PackageArchx86_64
PackageDescriptionContains universal (also called automatic or black-box) algorithms that can generate random numbers from large classes of continuous or discrete distributions, and also from practically all standard distributions. To generate random numbers the user must supply some information about the desired distribution, especially a C-function that computes the density and - depending on the chosen methods - some additional information (like the borders of the domain, the mode, the derivative of the density ...). After a user has given this information an init-program computes all tables and constants necessary for the random variate generation. The sample program can then generate variates from the desired distribution.
PackageMaintainerFedora Project
PackageNameroot-unuran
PackageRelease2.el6
PackageVersion5.34.38
SHA-1BEED35F5344879ACCF13AA83447B8230F45981D6
SHA-25615752680F119C6AE0F51A99EB2161D91A481680D373CBF5F737387EE88FE5A70
Key Value
MD5980E81FCC108DFA20508FEF5A0BFD3EA
PackageArchaarch64
PackageDescriptionContains universal (also called automatic or black-box) algorithms that can generate random numbers from large classes of continuous or discrete distributions, and also from practically all standard distributions. To generate random numbers the user must supply some information about the desired distribution, especially a C-function that computes the density and - depending on the chosen methods - some additional information (like the borders of the domain, the mode, the derivative of the density ...). After a user has given this information an init-program computes all tables and constants necessary for the random variate generation. The sample program can then generate variates from the desired distribution.
PackageMaintainerFedora Project
PackageNameroot-unuran
PackageRelease1.fc23
PackageVersion5.34.32
SHA-15163CC7D81596F619ECB18DCFD9873E45F8FC606
SHA-2563DB4FC1FF834069C5518C493A2B330EF84609DBD9963C9C077C517FCFAE06795
Key Value
MD5177D72DA01E70393E7BCD439391E49FC
PackageArchi386
PackageDescriptionContains universal (also called automatic or black-box) algorithms that can generate random numbers from large classes of continuous or discrete distributions, and also from practically all standard distributions. To generate random numbers the user must supply some information about the desired distribution, especially a C-function that computes the density and - depending on the chosen methods - some additional information (like the borders of the domain, the mode, the derivative of the density ...). After a user has given this information an init-program computes all tables and constants necessary for the random variate generation. The sample program can then generate variates from the desired distribution.
PackageMaintainerFedora Project
PackageNameroot-unuran
PackageRelease1.el5
PackageVersion5.34.36
SHA-1668374DBA7FB2A62C8B1A8215DE27B768C591C25
SHA-256606DC337A5797A8ADFBBD9F6C472ECA7EA93AD2CED2D183E8405EDE768AD1295
Key Value
MD53A741E9D2047B10C1EC9A8B68CCE4D86
PackageArchx86_64
PackageDescriptionContains universal (also called automatic or black-box) algorithms that can generate random numbers from large classes of continuous or discrete distributions, and also from practically all standard distributions. To generate random numbers the user must supply some information about the desired distribution, especially a C-function that computes the density and - depending on the chosen methods - some additional information (like the borders of the domain, the mode, the derivative of the density ...). After a user has given this information an init-program computes all tables and constants necessary for the random variate generation. The sample program can then generate variates from the desired distribution.
PackageMaintainerFedora Project
PackageNameroot-unuran
PackageRelease1.el5
PackageVersion5.34.36
SHA-1C5FA97E6B95F3DC43E419C85CC69AC90793BBFF1
SHA-2561AC80CBEA30C12968B78D46EFAA69F2406501C2EE68FB19A749D64732C4642B8
Key Value
MD5E6F727243EC02A28D97DC7250B40A891
PackageArchi686
PackageDescriptionContains universal (also called automatic or black-box) algorithms that can generate random numbers from large classes of continuous or discrete distributions, and also from practically all standard distributions. To generate random numbers the user must supply some information about the desired distribution, especially a C-function that computes the density and - depending on the chosen methods - some additional information (like the borders of the domain, the mode, the derivative of the density ...). After a user has given this information an init-program computes all tables and constants necessary for the random variate generation. The sample program can then generate variates from the desired distribution.
PackageMaintainerFedora Project
PackageNameroot-unuran
PackageRelease2.el6
PackageVersion5.34.38
SHA-1F03393E1326541A2D98A10B6433968A25FB32D66
SHA-256AA6F6FF6D24D37F679670A17EB13422527129A5DCF75E329AB9D3D3FC111E40C
Key Value
MD5F9A7B3C5AF7A30ACDA362E78AD4BC6AD
PackageArchppc
PackageDescriptionContains universal (also called automatic or black-box) algorithms that can generate random numbers from large classes of continuous or discrete distributions, and also from practically all standard distributions. To generate random numbers the user must supply some information about the desired distribution, especially a C-function that computes the density and - depending on the chosen methods - some additional information (like the borders of the domain, the mode, the derivative of the density ...). After a user has given this information an init-program computes all tables and constants necessary for the random variate generation. The sample program can then generate variates from the desired distribution.
PackageMaintainerKoji
PackageNameroot-unuran
PackageRelease1.fc17
PackageVersion5.32.02
SHA-139D83341BEEE6D656698682EA7F531A2B9D52D3C
SHA-256DE17C6E1C53712CDCB7D1EB3FCE6DCD91C539B54958DC4C02F77A986B2BFDFAB
Key Value
MD573679038D7F9C5FEF3A718988179D171
PackageArchppc
PackageDescriptionContains universal (also called automatic or black-box) algorithms that can generate random numbers from large classes of continuous or discrete distributions, and also from practically all standard distributions. To generate random numbers the user must supply some information about the desired distribution, especially a C-function that computes the density and - depending on the chosen methods - some additional information (like the borders of the domain, the mode, the derivative of the density ...). After a user has given this information an init-program computes all tables and constants necessary for the random variate generation. The sample program can then generate variates from the desired distribution.
PackageMaintainerKoji
PackageNameroot-unuran
PackageRelease2.fc19
PackageVersion5.34.02
SHA-1CE48E994A9BBD553F0ABCC32153C5B2675EB3E81
SHA-256B83AE035B926D46BC7BD9C88F6B8D73DF1767FA80C5CC5910E1E1ACBEE427AF1
Key Value
MD5C29737C992F624D8D6728083BF34F5EC
PackageArchx86_64
PackageDescriptionContains universal (also called automatic or black-box) algorithms that can generate random numbers from large classes of continuous or discrete distributions, and also from practically all standard distributions. To generate random numbers the user must supply some information about the desired distribution, especially a C-function that computes the density and - depending on the chosen methods - some additional information (like the borders of the domain, the mode, the derivative of the density ...). After a user has given this information an init-program computes all tables and constants necessary for the random variate generation. The sample program can then generate variates from the desired distribution.
PackageMaintainerFedora Project
PackageNameroot-unuran
PackageRelease3.el6
PackageVersion5.34.38
SHA-11408BB6BFE736DB34B45A7FF2B9E9F352493C57A
SHA-256D31932B6EEB118D98CEA6EA4A6352276AFF9AF4CD8572C8B6269F60D2FBF6EFA
Key Value
MD53091E6EB437AB368CC8C475483B13C3E
PackageArchppc
PackageDescriptionContains universal (also called automatic or black-box) algorithms that can generate random numbers from large classes of continuous or discrete distributions, and also from practically all standard distributions. To generate random numbers the user must supply some information about the desired distribution, especially a C-function that computes the density and - depending on the chosen methods - some additional information (like the borders of the domain, the mode, the derivative of the density ...). After a user has given this information an init-program computes all tables and constants necessary for the random variate generation. The sample program can then generate variates from the desired distribution.
PackageMaintainerFedora Project
PackageNameroot-unuran
PackageRelease5.fc20
PackageVersion5.34.09
SHA-1A83CF9379DA3B917F650D178840B44EB49EBB9E7
SHA-256116ECDCD732F94A9BA50101CA30395CA8E627536009520C7B9DD20CEA7CC3FE1
Key Value
MD52B8574047F70C6772C5B646EECD445CF
PackageArchaarch64
PackageDescriptionContains universal (also called automatic or black-box) algorithms that can generate random numbers from large classes of continuous or discrete distributions, and also from practically all standard distributions. To generate random numbers the user must supply some information about the desired distribution, especially a C-function that computes the density and - depending on the chosen methods - some additional information (like the borders of the domain, the mode, the derivative of the density ...). After a user has given this information an init-program computes all tables and constants necessary for the random variate generation. The sample program can then generate variates from the desired distribution.
PackageMaintainerFedora Project
PackageNameroot-unuran
PackageRelease1.fc23
PackageVersion5.34.32
SHA-1E4D94109912D8104CA7D24E25248F587F074E333
SHA-2564992DE808AB281A00CAF8C5CDD5A4F260EEF7CE6955E0E55641383DDD5421304