Key | Value |
---|---|
FileName | ./usr/share/doc/packages/suitesparse-5.6.0/CHOLMOD_UserGuide.pdf |
FileSize | 506801 |
MD5 | 07E49980CD3864009247855C476FCDE1 |
SHA-1 | 1FBCD9EE5406EAE68B399D0ECB76065BC58C3A4B |
SHA-256 | 5547AD3F0E2ADF0A1EB9EFE9B2D03E39018C05B6E42BF0A0CA6799104678EACD |
SSDEEP | 12288:v5/qYTbaGnMSQL+W95FpfXvtidfHdK+MlNsIQfr:UYvTnzQ6WVlklhMdQT |
TLSH | T154B412E66F6B2418C8628581A10C77E390DD40F55A2558B339CD8B9B3BCDD61FE306FA |
hashlookup:parent-total | 7 |
hashlookup:trust | 85 |
The searched file hash is included in 7 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
MD5 | 7F0E4317132B67B08461059C16F99B53 |
PackageArch | noarch |
PackageDescription | This package contains documentation files for suitesparse. |
PackageMaintainer | Fedora Project |
PackageName | suitesparse-doc |
PackageRelease | 3.fc32 |
PackageVersion | 5.4.0 |
SHA-1 | 82E856CB684CF59EE3AFA3DAE2C0FC238C37D6A8 |
SHA-256 | 95D491D15449BA8BAE07622ADB297AC3F6149766C48166DFC25D4361A3AB718C |
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 | CD987399C8D97104AF04B58EA9B3EFBD |
PackageArch | x86_64 |
PackageDescription | CHOLMOD is a set of ANSI C routines for sparse Cholesky factorization and update/downdate. A MATLAB interface is provided. The performance of CHOLMOD was compared with 10 other codes in a paper by Nick Gould, Yifan Hu, and Jennifer Scott. see also their raw data. Comparing BCSLIB-EXT, CHOLMOD, MA57, MUMPS, Oblio, PARDISO, SPOOLES, SPRSBLKLLT, TAUCS, UMFPACK, and WSMP, on 87 large symmetric positive definite matrices, they found CHOLMOD to be fastest for 42 of the 87 matrices. Its run time is either fastest or within 10% of the fastest for 73 out of 87 matrices. Considering just the larger matrices, it is either the fastest or within 10% of the fastest for 40 out of 42 matrices. It uses the least amount of memory (or within 10% of the least) for 35 of the 42 larger matrices. Jennifer Scott and Yifan Hu also discuss the design considerations for a sparse direct code. CHOLMOD is part of the SuiteSparse sparse matrix suite. |
PackageName | libcholmod3 |
PackageRelease | 59.1 |
PackageVersion | 3.0.13 |
SHA-1 | 2F521AF0FE6CF336FF1D427E9E3D4569699F871F |
SHA-256 | 3FF0C07778CE78AB9426A777CFD586F6A1EAA076BECC9CC308868E45307CB6EA |
Key | Value |
---|---|
MD5 | 42CEE08B1AFB479296930694A842D845 |
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 | 59.1 |
PackageVersion | 5.6.0 |
SHA-1 | 5CE080EA495F636AF9775EA3062F798F223AFD85 |
SHA-256 | 70A58493B919AD5538B63DA1433328CC9732DCACC5C2EB9B0A82BA5BFE854D79 |
Key | Value |
---|---|
MD5 | 5698970664F3A2CD2F3E1D693FC11877 |
PackageArch | x86_64 |
PackageDescription | CHOLMOD is a set of ANSI C routines for sparse Cholesky factorization and update/downdate. A MATLAB interface is provided. The performance of CHOLMOD was compared with 10 other codes in a paper by Nick Gould, Yifan Hu, and Jennifer Scott. see also their raw data. Comparing BCSLIB-EXT, CHOLMOD, MA57, MUMPS, Oblio, PARDISO, SPOOLES, SPRSBLKLLT, TAUCS, UMFPACK, and WSMP, on 87 large symmetric positive definite matrices, they found CHOLMOD to be fastest for 42 of the 87 matrices. Its run time is either fastest or within 10% of the fastest for 73 out of 87 matrices. Considering just the larger matrices, it is either the fastest or within 10% of the fastest for 40 out of 42 matrices. It uses the least amount of memory (or within 10% of the least) for 35 of the 42 larger matrices. Jennifer Scott and Yifan Hu also discuss the design considerations for a sparse direct code. CHOLMOD is part of the SuiteSparse sparse matrix suite. |
PackageName | libcholmod3 |
PackageRelease | lp150.59.1 |
PackageVersion | 3.0.13 |
SHA-1 | CBF2BB42AF275CE26D48EDC3724D7CEF2F861435 |
SHA-256 | 0D71184AEAD16B087F29D708D3800DBE31F45B2EA1339C7EA1E5DDA5A1FC7609 |
Key | Value |
---|---|
MD5 | 8A699AF3951FE64C00D2ED14DE98DBBD |
PackageArch | noarch |
PackageDescription | This package contains documentation files for suitesparse. |
PackageMaintainer | Fedora Project |
PackageName | suitesparse-doc |
PackageRelease | 5.fc33 |
PackageVersion | 5.4.0 |
SHA-1 | 75D792700EC1A73F27911C001AE8ADE2D058554D |
SHA-256 | 199E4728DB2ACC0C83CD7ED36184AA06C5E067B1873815E9E76A7AD55B1AD434 |
Key | Value |
---|---|
MD5 | 9A27A1BC76AAB198151DE587126E08B4 |
PackageArch | noarch |
PackageDescription | This package contains documentation files for suitesparse. |
PackageMaintainer | Fedora Project |
PackageName | suitesparse-doc |
PackageRelease | 6.fc34 |
PackageVersion | 5.4.0 |
SHA-1 | E4174E7B155321B95AD1AB47F6F2D5C76CC85EE2 |
SHA-256 | 53149D7EF51737FA29FE01AF7AE276DA0C6A9E5179395019BFD8E811ECA57A63 |