Result for 1FBCD9EE5406EAE68B399D0ECB76065BC58C3A4B

Query result

Key Value
FileName./usr/share/doc/packages/suitesparse-5.6.0/CHOLMOD_UserGuide.pdf
FileSize506801
MD507E49980CD3864009247855C476FCDE1
SHA-11FBCD9EE5406EAE68B399D0ECB76065BC58C3A4B
SHA-2565547AD3F0E2ADF0A1EB9EFE9B2D03E39018C05B6E42BF0A0CA6799104678EACD
SSDEEP12288:v5/qYTbaGnMSQL+W95FpfXvtidfHdK+MlNsIQfr:UYvTnzQ6WVlklhMdQT
TLSHT154B412E66F6B2418C8628581A10C77E390DD40F55A2558B339CD8B9B3BCDD61FE306FA
hashlookup:parent-total7
hashlookup:trust85

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Parents (Total: 7)

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
MD57F0E4317132B67B08461059C16F99B53
PackageArchnoarch
PackageDescriptionThis package contains documentation files for suitesparse.
PackageMaintainerFedora Project
PackageNamesuitesparse-doc
PackageRelease3.fc32
PackageVersion5.4.0
SHA-182E856CB684CF59EE3AFA3DAE2C0FC238C37D6A8
SHA-25695D491D15449BA8BAE07622ADB297AC3F6149766C48166DFC25D4361A3AB718C
Key Value
MD573C19146F2C7FC12937AEE531FC0219B
PackageArchx86_64
PackageDescriptionsuitesparse 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.
PackageNamesuitesparse-devel
PackageReleaselp150.59.1
PackageVersion5.6.0
SHA-10C2EA1399A89DC2C8AB384F02CB3E1341CA1341D
SHA-2564EB1F2F097E3C2F1E0DF480CC64DA54C68F8F1C60F338252DCC27FB6B191865D
Key Value
MD5CD987399C8D97104AF04B58EA9B3EFBD
PackageArchx86_64
PackageDescriptionCHOLMOD 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.
PackageNamelibcholmod3
PackageRelease59.1
PackageVersion3.0.13
SHA-12F521AF0FE6CF336FF1D427E9E3D4569699F871F
SHA-2563FF0C07778CE78AB9426A777CFD586F6A1EAA076BECC9CC308868E45307CB6EA
Key Value
MD542CEE08B1AFB479296930694A842D845
PackageArchx86_64
PackageDescriptionsuitesparse 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.
PackageNamesuitesparse-devel
PackageRelease59.1
PackageVersion5.6.0
SHA-15CE080EA495F636AF9775EA3062F798F223AFD85
SHA-25670A58493B919AD5538B63DA1433328CC9732DCACC5C2EB9B0A82BA5BFE854D79
Key Value
MD55698970664F3A2CD2F3E1D693FC11877
PackageArchx86_64
PackageDescriptionCHOLMOD 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.
PackageNamelibcholmod3
PackageReleaselp150.59.1
PackageVersion3.0.13
SHA-1CBF2BB42AF275CE26D48EDC3724D7CEF2F861435
SHA-2560D71184AEAD16B087F29D708D3800DBE31F45B2EA1339C7EA1E5DDA5A1FC7609
Key Value
MD58A699AF3951FE64C00D2ED14DE98DBBD
PackageArchnoarch
PackageDescriptionThis package contains documentation files for suitesparse.
PackageMaintainerFedora Project
PackageNamesuitesparse-doc
PackageRelease5.fc33
PackageVersion5.4.0
SHA-175D792700EC1A73F27911C001AE8ADE2D058554D
SHA-256199E4728DB2ACC0C83CD7ED36184AA06C5E067B1873815E9E76A7AD55B1AD434
Key Value
MD59A27A1BC76AAB198151DE587126E08B4
PackageArchnoarch
PackageDescriptionThis package contains documentation files for suitesparse.
PackageMaintainerFedora Project
PackageNamesuitesparse-doc
PackageRelease6.fc34
PackageVersion5.4.0
SHA-1E4174E7B155321B95AD1AB47F6F2D5C76CC85EE2
SHA-25653149D7EF51737FA29FE01AF7AE276DA0C6A9E5179395019BFD8E811ECA57A63