Result for 9422890A4EF75E4CBE85067FFFB6FB256A306BA9

Query result

Key Value
FileName./usr/share/licenses/libldl2/License.txt
FileSize916
MD5FB42EE297EEE6B151BB05973F50061EF
SHA-19422890A4EF75E4CBE85067FFFB6FB256A306BA9
SHA-2564FAEF23EF8EFA9833095ABA6D548A7C3B349C37C2162088A33C29654F86D5480
SSDEEP24:aOA704LjwropXk37ynktyPOkHOCTbV+lPnQH3c:jA704peunwyZH+PnV
TLSHT17C1152841D00C77B1C80C6A4348ED8EBD31AA7E6B2AE2096414DD24E960EB7A07FE4E0
hashlookup:parent-total52
hashlookup:trust100

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Parents (Total: 52)

The searched file hash is included in 52 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD52C43326C617C2ACE56455E20EB5F5509
PackageArchx86_64
PackageDescriptionsuitesparse 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
PackageMaintainerFedora Project
PackageNamesuitesparse
PackageRelease5.fc33
PackageVersion5.4.0
SHA-106D371D6EBB8E577DD4BF23D49DE048B3807B1F7
SHA-256EA3F7D8D0D6264775E29DF28CB2474D0B5F9F1549251740B6462744D15473AC0
Key Value
MD5DEA6BA35AB03D3DA921C1A6847E72862
PackageArchaarch64
PackageDescriptionsuitesparse 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
PackageMaintainerFedora Project
PackageNamesuitesparse
PackageRelease5.fc33
PackageVersion5.4.0
SHA-10A8E05A260AF4977FCA7890A0B89A710E8427180
SHA-256A2BC8D58F7E8D56EFCFC3D10F126B5FDAA2E0FB167FE23D96A88F6A896C4B2C0
Key Value
MD514E83CECAADA5D85B02174822FB1CAA1
PackageArchi686
PackageDescriptionsuitesparse 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
PackageMaintainerFedora Project
PackageNamesuitesparse
PackageRelease6.fc34
PackageVersion5.4.0
SHA-10EED438F5CEE0BD7061DD38ABEF57E7BD3A39438
SHA-2568FEF5182E19843B5989DC01637CC4839678C8B7FF67E7A05F353AA4E21B54689
Key Value
MD5B299E28CEB31B011881B573D94BB55BF
PackageArchx86_64
PackageDescriptionLDL is a set of concise routines for factorizing symmetric positive- definite sparse matrices, with some applicability to symmetric indefinite matrices. Its primary purpose is to illustrate much of the basic theory of sparse matrix algorithms in as concise a code as possible, including an elegant new method of sparse symmetric factorization that computes the factorization row-by-row but stores it column-by-column. The entire symbolic and numeric factorization consists of a total of only 49 lines of code. The package is written in C, and includes a MATLAB interface. LDL is part of the SuiteSparse sparse matrix suite.
PackageNamelibldl2
PackageReleaselp151.84.1
PackageVersion2.2.6
SHA-10FC35A6D18D41563D7AD203DCCF80B69AB8EBE22
SHA-25646A7BE0A6061118578759CEDE533CA1B05A9774FA02EED36FDC7B20C6D23183A
Key Value
MD55F63F238EBC824BA8ED8DAEC21A68161
PackageArchs390x
PackageDescriptionLDL is a set of concise routines for factorizing symmetric positive- definite sparse matrices, with some applicability to symmetric indefinite matrices. Its primary purpose is to illustrate much of the basic theory of sparse matrix algorithms in as concise a code as possible, including an elegant new method of sparse symmetric factorization that computes the factorization row-by-row but stores it column-by-column. The entire symbolic and numeric factorization consists of a total of only 49 lines of code. The package is written in C, and includes a MATLAB interface. LDL is part of the SuiteSparse sparse matrix suite.
PackageMaintainerhttps://www.suse.com/
PackageNamelibldl-2_2_6
PackageRelease2.42
PackageVersion2.2.6
SHA-116CC7903CB6B19BF5E25720374D2A236998012F2
SHA-256B7580F0C795F27E0D3C6E93B513BDD15EEFDFD054620539E8BA077589B1A7F49
Key Value
MD578C406AD7B1494FDA4E94636842025A2
PackageArchx86_64
PackageDescriptionLDL is a set of concise routines for factorizing symmetric positive- definite sparse matrices, with some applicability to symmetric indefinite matrices. Its primary purpose is to illustrate much of the basic theory of sparse matrix algorithms in as concise a code as possible, including an elegant new method of sparse symmetric factorization that computes the factorization row-by-row but stores it column-by-column. The entire symbolic and numeric factorization consists of a total of only 49 lines of code. The package is written in C, and includes a MATLAB interface. LDL is part of the SuiteSparse sparse matrix suite.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamelibldl2
PackageReleaselp151.4.1
PackageVersion2.2.6
SHA-1182FD0A259C72B49A09B298E995B493BB694EF3D
SHA-256E865ACA69A7167314A774E735F0728865C53CC0CEE9F8FF5351E767B9472A03F
Key Value
MD5B9F56469CEA5D762B3A9C2424051C04E
PackageArchi686
PackageDescriptionsuitesparse 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
PackageMaintainerFedora Project
PackageNamesuitesparse
PackageRelease3.fc32
PackageVersion5.4.0
SHA-12625D2027D52772DE416A4F6EB3B0DB5BB0BC6D4
SHA-25607CFE01177ED481017D3BA9534F9F96C62BC3B8D7A33FBC62BE306F1CFEE43FC
Key Value
MD52FA3C7D4BA2905F1D1B0870FADEF5EAE
PackageArchx86_64
PackageDescriptionLDL is a set of concise routines for factorizing symmetric positive- definite sparse matrices, with some applicability to symmetric indefinite matrices. Its primary purpose is to illustrate much of the basic theory of sparse matrix algorithms in as concise a code as possible, including an elegant new method of sparse symmetric factorization that computes the factorization row-by-row but stores it column-by-column. The entire symbolic and numeric factorization consists of a total of only 49 lines of code. The package is written in C, and includes a MATLAB interface. LDL is part of the SuiteSparse sparse matrix suite.
PackageNamelibldl2
PackageReleasebp152.44.3
PackageVersion2.2.6
SHA-130780275F8B06656B4D1BB2FBFC5CCB7414369A2
SHA-256D3179ADA2BE4ACF73C24F17F3075ADA53E836B60291EA9A745F5289CB49B31D1
Key Value
MD52F7291DC5AF7142D6B16595221756F2C
PackageArchs390x
PackageDescriptionLDL is a set of concise routines for factorizing symmetric positive- definite sparse matrices, with some applicability to symmetric indefinite matrices. Its primary purpose is to illustrate much of the basic theory of sparse matrix algorithms in as concise a code as possible, including an elegant new method of sparse symmetric factorization that computes the factorization row-by-row but stores it column-by-column. The entire symbolic and numeric factorization consists of a total of only 49 lines of code. The package is written in C, and includes a MATLAB interface. LDL is part of the SuiteSparse sparse matrix suite.
PackageNamelibldl2
PackageRelease45.1
PackageVersion2.2.6
SHA-13511BC6B96847225F73847A9E440FDD855FBAC35
SHA-25611AB807B9501DB6973CD363F673F72ABB1FB198A57087D02593C27D3EB023844
Key Value
MD5FCEFBE6E63F65EF7C6A971D01FA7782F
PackageArchaarch64
PackageDescriptionsuitesparse 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
PackageMaintainerFedora Project
PackageNamesuitesparse
PackageRelease6.fc34
PackageVersion5.4.0
SHA-136FDE2B471E3335E4437B71BC9DD7F2BFDBB29D2
SHA-256627C265A77D6BCC6A4319ADAE49DD43690AD3DC97A9D4EC0588287AB91C90E48