Parents (Total: 53)

The searched file hash is included in 53 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	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	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	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	08FFE749979DB4AABF073061BCB8F36B
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.
PackageMaintainer	https://www.suse.com/
PackageName	libcxsparse3
PackageRelease	150100.9.2.3
PackageVersion	3.2.0
SHA-1	0DABFCF3A23DEE5922E4F87161C7155A7843E3FD
SHA-256	9F063919686FA317BAFF77A81AF966C5DCE959BA0F1DC65F3B2E86D8D63DD7EF

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	D9C2D25718AD033DC4476831B8427986
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	59.1
PackageVersion	3.2.0
SHA-1	144090610FB4AE427AAF5839B4632182A3EFF722
SHA-256	5D7B32EA53A96B219208550CD8EF54E273071C8A5F0068680A5A0602F9383ED3

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	1DF73D9A0C13C8C305802A0277A5CF95
PackageArch	i586
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	85.70
PackageVersion	3.2.0
SHA-1	18AF1A2B056AEB4459DE066BCF910F4D30B88AC9
SHA-256	33E6F69CF923CE3DBF014CFA808548A9283ED4AF88CFCE7F06F167A32BC16CCE