Key | Value |
---|---|
FileName | ./usr/share/licenses/libldl2/License.txt |
FileSize | 916 |
MD5 | FB42EE297EEE6B151BB05973F50061EF |
SHA-1 | 9422890A4EF75E4CBE85067FFFB6FB256A306BA9 |
SHA-256 | 4FAEF23EF8EFA9833095ABA6D548A7C3B349C37C2162088A33C29654F86D5480 |
SSDEEP | 24:aOA704LjwropXk37ynktyPOkHOCTbV+lPnQH3c:jA704peunwyZH+PnV |
TLSH | T17C1152841D00C77B1C80C6A4348ED8EBD31AA7E6B2AE2096414DD24E960EB7A07FE4E0 |
hashlookup:parent-total | 52 |
hashlookup:trust | 100 |
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 |
---|---|
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 | 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 | B299E28CEB31B011881B573D94BB55BF |
PackageArch | x86_64 |
PackageDescription | LDL 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. |
PackageName | libldl2 |
PackageRelease | lp151.84.1 |
PackageVersion | 2.2.6 |
SHA-1 | 0FC35A6D18D41563D7AD203DCCF80B69AB8EBE22 |
SHA-256 | 46A7BE0A6061118578759CEDE533CA1B05A9774FA02EED36FDC7B20C6D23183A |
Key | Value |
---|---|
MD5 | 5F63F238EBC824BA8ED8DAEC21A68161 |
PackageArch | s390x |
PackageDescription | LDL 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. |
PackageMaintainer | https://www.suse.com/ |
PackageName | libldl-2_2_6 |
PackageRelease | 2.42 |
PackageVersion | 2.2.6 |
SHA-1 | 16CC7903CB6B19BF5E25720374D2A236998012F2 |
SHA-256 | B7580F0C795F27E0D3C6E93B513BDD15EEFDFD054620539E8BA077589B1A7F49 |
Key | Value |
---|---|
MD5 | 78C406AD7B1494FDA4E94636842025A2 |
PackageArch | x86_64 |
PackageDescription | LDL 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. |
PackageMaintainer | https://bugs.opensuse.org |
PackageName | libldl2 |
PackageRelease | lp151.4.1 |
PackageVersion | 2.2.6 |
SHA-1 | 182FD0A259C72B49A09B298E995B493BB694EF3D |
SHA-256 | E865ACA69A7167314A774E735F0728865C53CC0CEE9F8FF5351E767B9472A03F |
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 | 2FA3C7D4BA2905F1D1B0870FADEF5EAE |
PackageArch | x86_64 |
PackageDescription | LDL 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. |
PackageName | libldl2 |
PackageRelease | bp152.44.3 |
PackageVersion | 2.2.6 |
SHA-1 | 30780275F8B06656B4D1BB2FBFC5CCB7414369A2 |
SHA-256 | D3179ADA2BE4ACF73C24F17F3075ADA53E836B60291EA9A745F5289CB49B31D1 |
Key | Value |
---|---|
MD5 | 2F7291DC5AF7142D6B16595221756F2C |
PackageArch | s390x |
PackageDescription | LDL 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. |
PackageName | libldl2 |
PackageRelease | 45.1 |
PackageVersion | 2.2.6 |
SHA-1 | 3511BC6B96847225F73847A9E440FDD855FBAC35 |
SHA-256 | 11AB807B9501DB6973CD363F673F72ABB1FB198A57087D02593C27D3EB023844 |
Key | Value |
---|---|
MD5 | FCEFBE6E63F65EF7C6A971D01FA7782F |
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 | 6.fc34 |
PackageVersion | 5.4.0 |
SHA-1 | 36FDE2B471E3335E4437B71BC9DD7F2BFDBB29D2 |
SHA-256 | 627C265A77D6BCC6A4319ADAE49DD43690AD3DC97A9D4EC0588287AB91C90E48 |