Parents (Total: 55)

The searched file hash is included in 55 parent files which include package known and seen by metalookup. A sample is included below:

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	B4B02BE97E59EC3BC4055A43C8F96DFF
PackageArch	x86_64
PackageDescription	SuiteSparseQR is an implementation of the multifrontal sparse QR factorization method. Parallelism is exploited both in the BLAS and across different frontal matrices using Intel's Threading Building Blocks, a shared-memory programming model for modern multicore architectures. It can obtain a substantial fraction of the theoretical peak performance of a multicore computer. The package is written in C++ with user interfaces for MATLAB, C, and C++. SuiteSparseQR is part of the SuiteSparse sparse matrix suite.
PackageMaintainer	https://www.suse.com/
PackageName	libspqr2
PackageRelease	150100.9.2.3
PackageVersion	2.0.8
SHA-1	0C348CFAA76AF060EC1FE0AF0A440C3DE4F96C6D
SHA-256	77223CD81E16F88A30A188FB40834364E21A5548CB741133CC13FB15F3C8C3F9

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	BD934B5F5BC607F0CD2DA0507B325821
PackageArch	s390x
PackageDescription	SuiteSparseQR is an implementation of the multifrontal sparse QR factorization method. Parallelism is exploited both in the BLAS and across different frontal matrices using Intel's Threading Building Blocks, a shared-memory programming model for modern multicore architectures. It can obtain a substantial fraction of the theoretical peak performance of a multicore computer. The package is written in C++ with user interfaces for MATLAB, C, and C++. SuiteSparseQR is part of the SuiteSparse sparse matrix suite.
PackageMaintainer	https://www.suse.com/
PackageName	libspqr2
PackageRelease	150100.9.2.3
PackageVersion	2.0.8
SHA-1	153659AF84F50A697322DB99D5577E64F3B9C907
SHA-256	105BDA4AE537EBC7ABE541F27D8240E426A152D9740FF252E11A2DCA469F1984

Key	Value
MD5	79785F9563900A70796130E87B1F84A8
PackageArch	x86_64
PackageDescription	SuiteSparseQR is an implementation of the multifrontal sparse QR factorization method. Parallelism is exploited both in the BLAS and across different frontal matrices using Intel's Threading Building Blocks, a shared-memory programming model for modern multicore architectures. It can obtain a substantial fraction of the theoretical peak performance of a multicore computer. The package is written in C++ with user interfaces for MATLAB, C, and C++. SuiteSparseQR is part of the SuiteSparse sparse matrix suite.
PackageName	libspqr2
PackageRelease	85.3
PackageVersion	2.0.9
SHA-1	2038ECBFFF8C54F6D55064B90DD6405BF8EF4422
SHA-256	8E97296001CA9FBA9A167D87B13757A38F9FAC61E0D971629553C04A3D5B989C

Key	Value
MD5	566D7ABCD89B1FE1CD51C1646E46D608
PackageArch	i586
PackageDescription	SuiteSparseQR is an implementation of the multifrontal sparse QR factorization method. Parallelism is exploited both in the BLAS and across different frontal matrices using Intel's Threading Building Blocks, a shared-memory programming model for modern multicore architectures. It can obtain a substantial fraction of the theoretical peak performance of a multicore computer. The package is written in C++ with user interfaces for MATLAB, C, and C++. SuiteSparseQR is part of the SuiteSparse sparse matrix suite.
PackageName	libspqr2
PackageRelease	85.70
PackageVersion	2.0.9
SHA-1	2401E7801A82FE5E2BB160A40513E48E4A068653
SHA-256	2564A2BF9BA17CE714C931A89630CA9F1F9D2E3453D7863D42A7138D3B0B8DF8

Key	Value
MD5	B2F6E3088F153FA4030C34B48F677B05
PackageArch	x86_64
PackageDescription	SuiteSparseQR is an implementation of the multifrontal sparse QR factorization method. Parallelism is exploited both in the BLAS and across different frontal matrices using Intel's Threading Building Blocks, a shared-memory programming model for modern multicore architectures. It can obtain a substantial fraction of the theoretical peak performance of a multicore computer. The package is written in C++ with user interfaces for MATLAB, C, and C++. SuiteSparseQR is part of the SuiteSparse sparse matrix suite.
PackageName	libspqr2
PackageRelease	85.1
PackageVersion	2.0.9
SHA-1	25E97EB181AA8B4100738CA2D60B16CEE00076A6
SHA-256	0E76DEEF9B1BC4E8D4EE1C8C54BB872AC476168B548C3A109ECB1897F4AD4568

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	1EDEF97D71B089511624EB598457F936
PackageArch	i586
PackageDescription	SuiteSparseQR is an implementation of the multifrontal sparse QR factorization method. Parallelism is exploited both in the BLAS and across different frontal matrices using Intel's Threading Building Blocks, a shared-memory programming model for modern multicore architectures. It can obtain a substantial fraction of the theoretical peak performance of a multicore computer. The package is written in C++ with user interfaces for MATLAB, C, and C++. SuiteSparseQR is part of the SuiteSparse sparse matrix suite.
PackageMaintainer	https://bugs.opensuse.org
PackageName	libspqr2
PackageRelease	43.6
PackageVersion	2.0.9
SHA-1	2E27565F75816EA46411A2ED143250669CF56CB3
SHA-256	9A12046027F86498D11D770497C64A375ACB61253DE77522FD4E9B1232FE9001