Parents (Total: 74)

The searched file hash is included in 74 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	94174B1A2C98F816FB5A65D3BD726938
PackageArch	aarch64
PackageDescription	The suitesparse-devel package contains files needed for developing applications which use the suitesparse libraries.
PackageMaintainer	Fedora Project
PackageName	suitesparse-devel
PackageRelease	6.fc34
PackageVersion	5.4.0
SHA-1	0474EF6B49A0015F5D1427F8B3F8F5AAF16A0318
SHA-256	8650CF13028499177D6DAF1413D694A713388D31360238B4A8E1CACA21E098D7

Key	Value
MD5	2C43326C617C2ACE56455E20EB5F5509
PackageArch	x86_64
PackageDescription	suitesparse is a collection of libraries for computations involving sparse matrices. The package includes the following libraries: AMD approximate minimum degree ordering BTF permutation to block triangular form (beta) CAMD constrained approximate minimum degree ordering COLAMD column approximate minimum degree ordering CCOLAMD constrained column approximate minimum degree ordering CHOLMOD sparse Cholesky factorization CSparse a concise sparse matrix package CXSparse CSparse extended: complex matrix, int and long int support KLU sparse LU factorization, primarily for circuit simulation LDL a simple LDL factorization SQPR a multithread, multifrontal, rank-revealing sparse QR factorization method UMFPACK sparse LU factorization SuiteSparse_config configuration file for all the above packages. RBio read/write files in Rutherford/Boeing format
PackageMaintainer	Fedora Project
PackageName	suitesparse
PackageRelease	5.fc33
PackageVersion	5.4.0
SHA-1	06D371D6EBB8E577DD4BF23D49DE048B3807B1F7
SHA-256	EA3F7D8D0D6264775E29DF28CB2474D0B5F9F1549251740B6462744D15473AC0

Key	Value
MD5	B2058AD451E72BA702B91FB362D4418E
PackageArch	i586
PackageDescription	KLU is a sparse LU factorization algorithm well-suited for use in circuit simulation. It was highlighted in the May 2007 issue of SIAM News, Sparse Matrix Algorithm Drives SPICE Performance Gains. It is the "fast sparse-matrix solver" mentioned in the article. KLU is part of the SuiteSparse sparse matrix suite.
PackageName	libklu1
PackageRelease	85.70
PackageVersion	1.3.9
SHA-1	0A7E093525A3CCD274F27458BDADDF5F16667ABC
SHA-256	4156CDC79D9637BEF683BDEE2D01CB606BFD312108272EB20138E83C5B7AB899

Key	Value
MD5	DEA6BA35AB03D3DA921C1A6847E72862
PackageArch	aarch64
PackageDescription	suitesparse is a collection of libraries for computations involving sparse matrices. The package includes the following libraries: AMD approximate minimum degree ordering BTF permutation to block triangular form (beta) CAMD constrained approximate minimum degree ordering COLAMD column approximate minimum degree ordering CCOLAMD constrained column approximate minimum degree ordering CHOLMOD sparse Cholesky factorization CSparse a concise sparse matrix package CXSparse CSparse extended: complex matrix, int and long int support KLU sparse LU factorization, primarily for circuit simulation LDL a simple LDL factorization SQPR a multithread, multifrontal, rank-revealing sparse QR factorization method UMFPACK sparse LU factorization SuiteSparse_config configuration file for all the above packages. RBio read/write files in Rutherford/Boeing format
PackageMaintainer	Fedora Project
PackageName	suitesparse
PackageRelease	5.fc33
PackageVersion	5.4.0
SHA-1	0A8E05A260AF4977FCA7890A0B89A710E8427180
SHA-256	A2BC8D58F7E8D56EFCFC3D10F126B5FDAA2E0FB167FE23D96A88F6A896C4B2C0

Key	Value
MD5	73C19146F2C7FC12937AEE531FC0219B
PackageArch	x86_64
PackageDescription	suitesparse 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.
PackageName	suitesparse-devel
PackageRelease	lp150.59.1
PackageVersion	5.6.0
SHA-1	0C2EA1399A89DC2C8AB384F02CB3E1341CA1341D
SHA-256	4EB1F2F097E3C2F1E0DF480CC64DA54C68F8F1C60F338252DCC27FB6B191865D

Key	Value
MD5	14E83CECAADA5D85B02174822FB1CAA1
PackageArch	i686
PackageDescription	suitesparse is a collection of libraries for computations involving sparse matrices. The package includes the following libraries: AMD approximate minimum degree ordering BTF permutation to block triangular form (beta) CAMD constrained approximate minimum degree ordering COLAMD column approximate minimum degree ordering CCOLAMD constrained column approximate minimum degree ordering CHOLMOD sparse Cholesky factorization CSparse a concise sparse matrix package CXSparse CSparse extended: complex matrix, int and long int support KLU sparse LU factorization, primarily for circuit simulation LDL a simple LDL factorization SQPR a multithread, multifrontal, rank-revealing sparse QR factorization method UMFPACK sparse LU factorization SuiteSparse_config configuration file for all the above packages. RBio read/write files in Rutherford/Boeing format
PackageMaintainer	Fedora Project
PackageName	suitesparse
PackageRelease	6.fc34
PackageVersion	5.4.0
SHA-1	0EED438F5CEE0BD7061DD38ABEF57E7BD3A39438
SHA-256	8FEF5182E19843B5989DC01637CC4839678C8B7FF67E7A05F353AA4E21B54689

Key	Value
MD5	225B8B70C02A21BBC79D3055E9AB0267
PackageArch	s390x
PackageDescription	KLU is a sparse LU factorization algorithm well-suited for use in circuit simulation. It was highlighted in the May 2007 issue of SIAM News, Sparse Matrix Algorithm Drives SPICE Performance Gains. It is the "fast sparse-matrix solver" mentioned in the article. KLU is part of the SuiteSparse sparse matrix suite.
PackageName	libklu1
PackageRelease	45.1
PackageVersion	1.3.9
SHA-1	0F6CD66387B31956DA0F2C4E9D25292AFDD1A466
SHA-256	C00FE51F28D728BB8E3DFFD768FC60194834699E494E8654F6759FE8C4A9B217

Key	Value
MD5	11D35A785BE85EF76441CCDA82154A1C
PackageArch	i686
PackageDescription	The suitesparse-devel package contains files needed for developing applications which use the suitesparse libraries.
PackageMaintainer	Fedora Project
PackageName	suitesparse-devel
PackageRelease	5.fc33
PackageVersion	5.4.0
SHA-1	14C4E9643DE8048CE6B3EB2263946C5FC6168192
SHA-256	3B401366058F3D17B492325F41A97736BD39CE81E1DF430490676F2BA5A1C6B7

Key	Value
MD5	23DEBE4EF3CAA8EA4939FD6636EF0308
PackageArch	x86_64
PackageDescription	KLU is a sparse LU factorization algorithm well-suited for use in circuit simulation. It was highlighted in the May 2007 issue of SIAM News, Sparse Matrix Algorithm Drives SPICE Performance Gains. It is the "fast sparse-matrix solver" mentioned in the article. KLU is part of the SuiteSparse sparse matrix suite.
PackageName	libklu1
PackageRelease	84.1
PackageVersion	1.3.9
SHA-1	16CC3E2083DC4E9C1368CE87AA9A51A752C84A63
SHA-256	79AC1C88C0D23C0B4A9EEFDC3FAF5C2E8BC4F4172A622B131EB668AE0251FCDA

Key	Value
MD5	99336F50913B627DB503D5AD95ECE847
PackageArch	i586
PackageDescription	suitesparse 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.
PackageName	suitesparse-devel
PackageRelease	45.3
PackageVersion	5.10.1
SHA-1	16F1FC834FBD37AA78AEF3C22FA40BD85719A89D
SHA-256	73A24FDFF8845141213F516CE6EBEF01FFEA127471FFE8985553E1A2B89ECABF