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	7E6877CD710DED8A42D245E815E18309
PackageArch	x86_64
PackageDescription	The COLAMD column approximate minimum degree ordering algorithm computes a permutation vector P such that the LU factorization of A (:,P) tends to be sparser than that of A. The Cholesky factorization of (A (:,P))'*(A (:,P)) will also tend to be sparser than that of A'*A. SYMAMD is a symmetric minimum degree ordering method based on COLAMD, available as a MATLAB-callable function. It constructs a matrix M such that M'*M has the same pattern as A, and then uses COLAMD to compute a column ordering of M. Colamd and symamd tend to be faster and generate better orderings than their MATLAB counterparts, colmmd and symmmd. COLAMD is part of the SuiteSparse sparse matrix suite.
PackageMaintainer	https://bugs.opensuse.org
PackageName	libcolamd2
PackageRelease	lp152.5.10
PackageVersion	2.9.6
SHA-1	0437EF0F1194F525779DFC80971DE0E4B5CA4F07
SHA-256	AC679E1EA2E1DE30D1598C1BCFCC9913330D1E8888BFD16ADC222040BE57C487

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	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	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	F6A2D7D1EFA0D57B2F45CCC192CF34B5
PackageArch	x86_64
PackageDescription	The COLAMD column approximate minimum degree ordering algorithm computes a permutation vector P such that the LU factorization of A (:,P) tends to be sparser than that of A. The Cholesky factorization of (A (:,P))'*(A (:,P)) will also tend to be sparser than that of A'*A. SYMAMD is a symmetric minimum degree ordering method based on COLAMD, available as a MATLAB-callable function. It constructs a matrix M such that M'*M has the same pattern as A, and then uses COLAMD to compute a column ordering of M. Colamd and symamd tend to be faster and generate better orderings than their MATLAB counterparts, colmmd and symmmd. COLAMD is part of the SuiteSparse sparse matrix suite.
PackageName	libcolamd2
PackageRelease	lp150.59.1
PackageVersion	2.9.6
SHA-1	1558E80A498BF522DB7CB737431CBB59F945FF8B
SHA-256	190371BFB18C7EA5E521BD181B68DEF45DF37D077DDDBF740F1C1E79DC0F000D

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

Key	Value
MD5	C6DCF1B62562EC8AF77E6DDD36F3AD27
PackageArch	x86_64
PackageDescription	The suitesparse-devel package contains files needed for developing applications which use the suitesparse libraries.
PackageMaintainer	Fedora Project
PackageName	suitesparse-devel
PackageRelease	3.fc32
PackageVersion	5.4.0
SHA-1	1771BA0520A43B20350C199AE8A69E0D14E3F164
SHA-256	E370C61C6A03820B879F479A864DE7968EFC672A8069D363E53325DA2804ECE8