Result for 260538CD3944E0142B2B3134F52E6423461EC201

Query result

Key Value
FileName./usr/share/doc/libsuitesparse-dev/SPQR_README.txt
FileSize2335
MD54924EEC220BA892A4E7E792D95392C8B
SHA-1260538CD3944E0142B2B3134F52E6423461EC201
SHA-2564B3EBBD9F006ABA1789AFE58FAEC8C5505AAC3542274D724EC5D47B879C8DC75
SSDEEP48:W0S0oy8glWdOSDSlISWn5Y3FA7mRqNYnShl7ukP:l5V7W8+SlIK0moNZva0
TLSHT15D41652F320C5B30936200E85BDAA7D57742D22B5A572A14F60C40636BC69B3F0B6BF5
tar:gnameroot
tar:unameroot
hashlookup:parent-total77
hashlookup:trust100

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Parents (Total: 77)

The searched file hash is included in 77 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD573C19146F2C7FC12937AEE531FC0219B
PackageArchx86_64
PackageDescriptionsuitesparse is a collection of libraries for computations involving sparse matrices. The suitesparse-devel package contains files needed for developing applications which use the suitesparse libraries.
PackageNamesuitesparse-devel
PackageReleaselp150.59.1
PackageVersion5.6.0
SHA-10C2EA1399A89DC2C8AB384F02CB3E1341CA1341D
SHA-2564EB1F2F097E3C2F1E0DF480CC64DA54C68F8F1C60F338252DCC27FB6B191865D
Key Value
MD5B4B02BE97E59EC3BC4055A43C8F96DFF
PackageArchx86_64
PackageDescriptionSuiteSparseQR is an implementation of the multifrontal sparse QR factorization method. Parallelism is exploited both in the BLAS and across different frontal matrices using Intel's Threading Building Blocks, a shared-memory programming model for modern multicore architectures. It can obtain a substantial fraction of the theoretical peak performance of a multicore computer. The package is written in C++ with user interfaces for MATLAB, C, and C++. SuiteSparseQR is part of the SuiteSparse sparse matrix suite.
PackageMaintainerhttps://www.suse.com/
PackageNamelibspqr2
PackageRelease150100.9.2.3
PackageVersion2.0.8
SHA-10C348CFAA76AF060EC1FE0AF0A440C3DE4F96C6D
SHA-25677223CD81E16F88A30A188FB40834364E21A5548CB741133CC13FB15F3C8C3F9
Key Value
FileNamehttp://dl-cdn.alpinelinux.org/alpine/latest-stable//community//armv7//suitesparse-doc-5.10.1-r1.apk
MD5FFFE426AB66B96708625E43FBF1FAF6B
SHA-113000B39F5D66773AA4C8946A17C962DC0F6CCB4
SHA-2561F9D8C45D490F5E61190C78A60592B80160E39AADAA90B986D5EC481083B35DA
SSDEEP49152:CpcNn6detK4Y2HaIgnZsyOYZjfXJ0fJVI8ic56zeCQvdqWGoeCG3XCnebgD:GcNSeYP2x+pZrXci8iondLGpSneby
TLSHT150B53321A5C98A244C09BAF7DA13BF8E9438BE57100BAF76FB2D85D4C35F1B16421E47
Key Value
FileSize3146812
MD5C564EB2A052C8C76AE89CE6A120F4E07
PackageDescriptionlibraries for sparse matrices computations (documentation) Suitesparse is a collection of libraries for computations involving sparse matrices. This package contains the user guides for the libraries distributed by the SuiteSparse project.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamelibsuitesparse-doc
PackageSectiondoc
PackageVersion1:5.7.1+dfsg-2
SHA-113047EE4499CCDB9534B11CF18B6BC4DEB864622
SHA-256DED9F48B6785DA2960FA670D1DD6FD4A27D0464F16C6F2BAA7ED0BE06E72BA3E
Key Value
MD5BD934B5F5BC607F0CD2DA0507B325821
PackageArchs390x
PackageDescriptionSuiteSparseQR is an implementation of the multifrontal sparse QR factorization method. Parallelism is exploited both in the BLAS and across different frontal matrices using Intel's Threading Building Blocks, a shared-memory programming model for modern multicore architectures. It can obtain a substantial fraction of the theoretical peak performance of a multicore computer. The package is written in C++ with user interfaces for MATLAB, C, and C++. SuiteSparseQR is part of the SuiteSparse sparse matrix suite.
PackageMaintainerhttps://www.suse.com/
PackageNamelibspqr2
PackageRelease150100.9.2.3
PackageVersion2.0.8
SHA-1153659AF84F50A697322DB99D5577E64F3B9C907
SHA-256105BDA4AE537EBC7ABE541F27D8240E426A152D9740FF252E11A2DCA469F1984
Key Value
MD599336F50913B627DB503D5AD95ECE847
PackageArchi586
PackageDescriptionsuitesparse is a collection of libraries for computations involving sparse matrices. The suitesparse-devel package contains files needed for developing applications which use the suitesparse libraries.
PackageNamesuitesparse-devel
PackageRelease45.3
PackageVersion5.10.1
SHA-116F1FC834FBD37AA78AEF3C22FA40BD85719A89D
SHA-25673A24FDFF8845141213F516CE6EBEF01FFEA127471FFE8985553E1A2B89ECABF
Key Value
FileSize1846520
MD5D202028B581D40D986C6DAD3294B8695
PackageDescriptionlibraries for sparse matrices computations (documentation) Suitesparse is a collection of libraries for computations involving sparse matrices. This package contains the user guides for the libraries distributed by the SuiteSparse project.
PackageMaintainerDebian Science Team <debian-science-maintainers@lists.alioth.debian.org>
PackageNamelibsuitesparse-doc
PackageSectiondoc
PackageVersion1:4.5.4-1
SHA-11AC4668EBE9A5FD305DF650D964E242EDBEE3090
SHA-2568705D270E699C98AEC45602799CD965F3C5559CAB8DEA969F1D4C62190A03535
Key Value
MD55DBE3458EC44E98CBCC9D06B27CB6AD7
PackageArchx86_64
PackageDescriptionsuitesparse is a collection of libraries for computations involving sparse matrices. The suitesparse-devel package contains files needed for developing applications which use the suitesparse libraries.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamesuitesparse-devel
PackageReleaselp151.4.1
PackageVersion5.2.0
SHA-11DCF5C386A380469F28BE5CFE98AFB588336A1C4
SHA-256861664EB78F613B6EB78FC134CC1EC0D66AD0DB34AB8185A869469AC1F0B6703
Key Value
FileSize1515510
MD5F4DF61C6C5774514901C08152E711873
PackageDescriptionlibraries for sparse matrices computations (documentation) Suitesparse is a collection of libraries for computations involving sparse matrices. This package contains the user guides for the libraries distributed by the SuiteSparse project.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamelibsuitesparse-doc
PackageSectiondoc
PackageVersion1:4.5.3-1
SHA-11F9212CEEBC700B1EA8F55274150D819F73396C4
SHA-2561B216800273FAA99A6852F00BEE3E38592AA53467FACCCFC4FF0BE6A0C0FB3B9
Key Value
MD579785F9563900A70796130E87B1F84A8
PackageArchx86_64
PackageDescriptionSuiteSparseQR is an implementation of the multifrontal sparse QR factorization method. Parallelism is exploited both in the BLAS and across different frontal matrices using Intel's Threading Building Blocks, a shared-memory programming model for modern multicore architectures. It can obtain a substantial fraction of the theoretical peak performance of a multicore computer. The package is written in C++ with user interfaces for MATLAB, C, and C++. SuiteSparseQR is part of the SuiteSparse sparse matrix suite.
PackageNamelibspqr2
PackageRelease85.3
PackageVersion2.0.9
SHA-12038ECBFFF8C54F6D55064B90DD6405BF8EF4422
SHA-2568E97296001CA9FBA9A167D87B13757A38F9FAC61E0D971629553C04A3D5B989C