Parents (Total: 50)

The searched file hash is included in 50 parent files which include package known and seen by metalookup. A sample is included below:

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	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

Key	Value
MD5	F58F877D79510DC021B5A344C7330AFE
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.
PackageMaintainer	https://bugs.opensuse.org
PackageName	libcsparse3
PackageRelease	lp152.5.10
PackageVersion	3.2.0
SHA-1	0BE051E5FC2FA324DA7CB9C2F07194FFAE467A6F
SHA-256	D3E79D49CFB1EB5BD24B2DE96A0561EE2B5BA34D46C1268E2DE38CC6E37EB204

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	291C84914D12D33F11B3ACE6A05EDB0C
PackageArch	i586
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.
PackageMaintainer	https://bugs.opensuse.org
PackageName	libcsparse3
PackageRelease	43.6
PackageVersion	3.2.0
SHA-1	11B4EFD582EA5410DAEA4A9898FE518606CE4EB8
SHA-256	1EB8856A68175DD31E1D3B7555A1E6601A71DCE4A1A6B536FAF9D2A63DD48799

Key	Value
MD5	9CFDE77EF234ABC4BE6AFA535B134410
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.
PackageMaintainer	https://www.suse.com/
PackageName	libcsparse3
PackageRelease	150100.9.2.3
PackageVersion	3.2.0
SHA-1	1676EC26E57C8510CF30E1DD180B60497F35BA9B
SHA-256	CA792CD8366259B669CE0403F83D3074309F26ADCDEE04B202BB351229C9AD16

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	5DBE3458EC44E98CBCC9D06B27CB6AD7
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.
PackageMaintainer	https://bugs.opensuse.org
PackageName	suitesparse-devel
PackageRelease	lp151.4.1
PackageVersion	5.2.0
SHA-1	1DCF5C386A380469F28BE5CFE98AFB588336A1C4
SHA-256	861664EB78F613B6EB78FC134CC1EC0D66AD0DB34AB8185A869469AC1F0B6703

Key	Value
MD5	C10750D178068E2A59E526D304E963F8
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	85.70
PackageVersion	5.10.1
SHA-1	2391DBF2D4A849E2C00A8E4111477510748C3EC3
SHA-256	AA9DB1CE2025D4813F147D5EE18874A988C240181AA3AD3C0A34A9255F9946C7

Key	Value
MD5	BA282F62CD11FC7FEE9993686766E1E0
PackageArch	s390x
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.
PackageMaintainer	https://www.suse.com/
PackageName	libcsparse3
PackageRelease	7.9
PackageVersion	3.2.0
SHA-1	2747FAB57B4BE56BA259A2D69DD4A5F5AA85F62D
SHA-256	61AD65F014425325E63E843BC06594E306F2A793CA35AFDF07DCC777B3489027