Parents (Total: 179)

The searched file hash is included in 179 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	8E4C6C5CFCC758D301404DF59112AD0A
PackageArch	noarch
PackageDescription	This package contains documentation files for suitesparse.
PackageMaintainer	Fedora Project
PackageName	suitesparse-doc
PackageRelease	3.fc17
PackageVersion	3.6.1
SHA-1	007139473DC1F131E210D0F48E4F186FB003F979
SHA-256	7C7DFC08E0C17C4E384AC12BAA51597629BC7AF097F12F8E2DF5D57865F58130

Key	Value
MD5	4BC5D48359632FAFECDF9B9F3BA18ED2
PackageArch	x86_64
PackageDescription	CSparse is a small yet feature-rich sparse matrix package written specifically for a book. The purpose of the package is to demonstrate a wide range of sparse matrix algorithms in as concise a code as possible. CSparse is about 2,200 lines long (excluding its MATLAB interface, demo codes, and test codes), yet it contains algorithms (either asympotical optimal or fast in practice) for all of the following functions described below. A MATLAB interface is included. Note that the LU and Cholesky factorization algorithms are not as fast as UMFPACK or CHOLMOD. Other functions have comparable performance as their MATLAB equivalents (some are faster). Documentation is very terse in the code; it is fully documented in the book. Some indication of how to call the C functions in CSparse is given by the CSparse/MATLAB/*.m help files. CSparse is part of the SuiteSparse sparse matrix suite.
PackageName	libcsparse3
PackageRelease	59.1
PackageVersion	3.2.0
SHA-1	00ABD18BC68E92199312293D256F4BF01E292473
SHA-256	8115FC6C4C9569E53D2BA0950AD79ABFD92C89079923EB53FD2D53BB13116873

Key	Value
MD5	DC035E825E422E4F00A206E5E312CD14
PackageArch	x86_64
PackageDescription	BTF permutes an unsymmetric matrix (square or rectangular) into its block upper triangular form (more precisely, it computes a Dulmage- Mendelsohn decomposition). BTF is part of the SuiteSparse sparse matrix suite.
PackageName	libbtf1
PackageRelease	59.1
PackageVersion	1.2.6
SHA-1	00D6E11E0D4F829396E2F595E73A9BF4C7F77BD0
SHA-256	B9D38720902571CB6F85A2961B536BF04B4339A6AABE5F56D54A1A4510DF8069

Key	Value
MD5	751A0EDA4B01FD6A13ACF83DC424362B
PackageArch	s390x
PackageDescription	BTF permutes an unsymmetric matrix (square or rectangular) into its block upper triangular form (more precisely, it computes a Dulmage- Mendelsohn decomposition). BTF is part of the SuiteSparse sparse matrix suite.
PackageName	libbtf1
PackageRelease	45.1
PackageVersion	1.2.6
SHA-1	01DDE9D359C8C2A4F9349FB8A7FDBF2B019A27E7
SHA-256	9705DA7751D63BA26AF271458DC3DE9B418DDE60E9F43B5FBAACC99397276D45

Key	Value
MD5	136551714447942D49E2F3C06871BD7B
PackageArch	s390x
PackageDescription	CXSparse is an extended version of CSparse, with support for double or complex matrices, with int or long integers. CXSparse is part of the SuiteSparse sparse matrix suite.
PackageName	libcxsparse3
PackageRelease	45.1
PackageVersion	3.2.0
SHA-1	01FC85DB07E80FC8D7F38919A8E77395EFD9AA9B
SHA-256	B3B970769573B498BDD21C8E97405C3BBF580375A1FCF614DB9E9B95E5F30218

Key	Value
MD5	91F9680E3555F8CE688ADED2B9E71A15
PackageArch	ppc64le
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.fc21
PackageVersion	4.2.1
SHA-1	04AE608C17795BF438EF858EB5E58EF9A7180188
SHA-256	2CA38DF19B2992DD2BC6EF30765A11E93F00AF51BB059EA34B68BBFF1B4E0B17

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	47EC84AD56FAB75742B534C11CB9FCA9
PackageArch	x86_64
PackageDescription	CXSparse is an extended version of CSparse, with support for double or complex matrices, with int or long integers. CXSparse is part of the SuiteSparse sparse matrix suite.
PackageName	libcxsparse3
PackageRelease	lp151.84.1
PackageVersion	3.2.0
SHA-1	071D795E803128B81E5D2A047621835FFCAA3976
SHA-256	C311607C95DCDF0F10D48038289DB8C2D75758F69FA8F058A9968A7A5ECFE103

Key	Value
MD5	AB5888ACDD2162B085F3A14A44E3647C
PackageArch	noarch
PackageDescription	This package contains documentation files for suitesparse.
PackageMaintainer	Fedora Project
PackageName	suitesparse-doc
PackageRelease	6.fc20
PackageVersion	4.0.2
SHA-1	079C435953D7428C0138AC716C9BA08ED907B1AF
SHA-256	F157A725942D877F75CD9CFF2507CCB87CFDBACF279A2B35178D2DD6819ADEB3

Key	Value
MD5	D2F1D74A535177BD72F8F1B765C0CCD7
PackageArch	x86_64
PackageDescription	CSparse is a small yet feature-rich sparse matrix package written specifically for a book. The purpose of the package is to demonstrate a wide range of sparse matrix algorithms in as concise a code as possible. CSparse is about 2,200 lines long (excluding its MATLAB interface, demo codes, and test codes), yet it contains algorithms (either asympotical optimal or fast in practice) for all of the following functions described below. A MATLAB interface is included. Note that the LU and Cholesky factorization algorithms are not as fast as UMFPACK or CHOLMOD. Other functions have comparable performance as their MATLAB equivalents (some are faster). Documentation is very terse in the code; it is fully documented in the book. Some indication of how to call the C functions in CSparse is given by the CSparse/MATLAB/*.m help files. CSparse is part of the SuiteSparse sparse matrix suite.
PackageName	libcsparse3
PackageRelease	85.70
PackageVersion	3.2.0
SHA-1	07CAC346EB474090F0BD84DDA1A3BDFDA1772FDB
SHA-256	6F78A2398D4577FA8A5558EA311B0B9B5E1D73ABFA4773FC73E8A623FCE49A02