Parents (Total: 52)

The searched file hash is included in 52 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	6A2387CCD49330DE84623FE69552EC17
PackageArch	s390x
PackageDescription	CAMD is a set of routines for ordering a sparse matrix prior to Cholesky factorization (or for LU factorization with diagonal pivoting). There are versions in both C and Fortran. A MATLAB interface is provided. CAMD is part of the SuiteSparse sparse matrix suite.
PackageName	libcamd2
PackageRelease	45.1
PackageVersion	2.4.6
SHA-1	000CE1C8DC54BFAC3917F4AF07391568892C6924
SHA-256	872F89FF0EA3815CCE4918E46F13EB44324B82C235A1F9AC2871959A86763680

Key	Value
FileName	libcamd2-2.4.6-7.9.x86_64.rpm
FileSize	193052
MD5	EB6BAEEA73D3F34BD56E6F609A49FE54
PackageArch	x86_64
PackageDescription	CAMD is a set of routines for ordering a sparse matrix prior to Cholesky factorization (or for LU factorization with diagonal pivoting). There are versions in both C and Fortran. A MATLAB interface is provided. CAMD is part of the SuiteSparse sparse matrix suite.
PackageMaintainer	https://www.suse.com/
PackageName	libcamd2
PackageRelease	7.9
PackageVersion	2.4.6
RDS:package_id	263809
SHA-1	007C8F029EE6030A1C45F88DFC6A33A5EE8AAAF1
SHA-256	110A9289152132862C335900FE2F1A14FA239C98C1F7BF6B03CC95A2368CEECA
insert-timestamp	1654958819.9699438
source	modern.db

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	895F0C582E102797A1B57E6D48DE2177
PackageArch	x86_64
PackageDescription	CAMD is a set of routines for ordering a sparse matrix prior to Cholesky factorization (or for LU factorization with diagonal pivoting). There are versions in both C and Fortran. A MATLAB interface is provided. CAMD is part of the SuiteSparse sparse matrix suite.
PackageName	libcamd2
PackageRelease	bp150.44.1
PackageVersion	2.4.6
SHA-1	0989EBB643627A506C895CBBF41B3F611E18E9F9
SHA-256	6B4F7B4861C26AFCC9D06784C5A317AE20F5509D2B7CEB5ECB69D469E797B7B7

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	7F9691FEA2E7A6EE3AA73459DBF207FF
PackageArch	x86_64
PackageDescription	CAMD is a set of routines for ordering a sparse matrix prior to Cholesky factorization (or for LU factorization with diagonal pivoting). There are versions in both C and Fortran. A MATLAB interface is provided. CAMD is part of the SuiteSparse sparse matrix suite.
PackageName	libcamd2
PackageRelease	85.1
PackageVersion	2.4.6
SHA-1	0D7E69AB23A51610FC9A9B564CE3123DCE8206A7
SHA-256	942676BB1DCE236CD030BDCC00EF03355E7795CB20F455DF7CF41F642BA0609C

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	0A216B6B01AF0ED86AAC8BD4F884AE1D
PackageArch	x86_64
PackageDescription	CAMD is a set of routines for ordering a sparse matrix prior to Cholesky factorization (or for LU factorization with diagonal pivoting). There are versions in both C and Fortran. A MATLAB interface is provided. CAMD is part of the SuiteSparse sparse matrix suite.
PackageMaintainer	https://bugs.opensuse.org
PackageName	libcamd2
PackageRelease	43.6
PackageVersion	2.4.6
SHA-1	1D42FB17E854E6EA69A00FD108D6187A65C541DD
SHA-256	55E1B63436B49E2C35967CD87A5B84A1995C913EEA4C28316C36E9DC811CDC16

Key	Value
MD5	B9F56469CEA5D762B3A9C2424051C04E
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	3.fc32
PackageVersion	5.4.0
SHA-1	2625D2027D52772DE416A4F6EB3B0DB5BB0BC6D4
SHA-256	07CFE01177ED481017D3BA9534F9F96C62BC3B8D7A33FBC62BE306F1CFEE43FC

Key	Value
MD5	30C02A174F1DE813D711FAD41D1A5909
PackageArch	x86_64
PackageDescription	CAMD is a set of routines for ordering a sparse matrix prior to Cholesky factorization (or for LU factorization with diagonal pivoting). There are versions in both C and Fortran. A MATLAB interface is provided. CAMD is part of the SuiteSparse sparse matrix suite.
PackageName	libcamd2
PackageRelease	84.1
PackageVersion	2.4.6
SHA-1	2BD366BA9B3FA3EA96842FA464CC35070AEDC6F5
SHA-256	AFA86820E61E8D9AACD8AC565B9A48D3EA8FED475D7AEC4C767954B2D2B29150