Result for F6B085A590DEC712C3052BC055DDC1B5CECC2EF2

Query result

Key Value
FileName./usr/lib64/libcholmod.so.3.0.12
FileSize1064488
MD5EC8D50A39DBEB23DB5CCA1697E3CB4DE
RDS:package_id263809
SHA-1F6B085A590DEC712C3052BC055DDC1B5CECC2EF2
SHA-256DBB038E60B75E1CE499335C33439777A256D74FB49BF120960B0AAA06B8416C0
SSDEEP24576:4LS2F/EkhkpF/tkh10L8C7b95CVfzepl6Q2+D+YTcpo7k:pCUu+J
TLSHT10E353B57F49204ACC0ABF9345AB97553B6723848832825762FA79D382F7EF116E1B703
insert-timestamp1654960578.7739027
sourcemodern.db
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileNamelibcholmod3-3.0.12-7.9.x86_64.rpm
FileSize909584
MD57226C780651CB269C4EE42247CB9DEC7
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.
PackageMaintainerhttps://www.suse.com/
PackageNamelibcholmod3
PackageRelease7.9
PackageVersion3.0.12
RDS:package_id263809
SHA-1DC1DBD83CFA32D731935C81EFDE9C70340374837
SHA-25620F2A132FA195FDD38D0B0707B797ECB942A74013A134AC412B7EF7EE55DF4B2
insert-timestamp1654958819.2049685
sourcemodern.db