Result for 0752DCE95E76D05706C255B855E0D3DB35C7CDDD

Query result

Key Value
FileName./usr/lib/libcsparse.so.3.2.0
FileSize54936
MD58CED21A8E12BA87BCCA70E8C9ED12049
SHA-10752DCE95E76D05706C255B855E0D3DB35C7CDDD
SHA-256F42C18CBF7BFDDF65439341F389876118FDFFC17DE996319061DD022B6792616
SSDEEP768:ifl0fTRlHCJLj6goLuchazc50p+3FxgmfjXD7IR7to2uZSWNtBUWnlkbsDq:it0tzHQzBp+1xgEXD7IR7trwSbiq
TLSHT1ED33398AFBC790F2F6E258B5421793BB1A7456068427F2F2FF0977063876346BC25264
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
MD5291C84914D12D33F11B3ACE6A05EDB0C
PackageArchi586
PackageDescriptionCSparse is a small yet feature-rich sparse matrix package written specifically for a book. The purpose of the package is to demonstrate a wide range of sparse matrix algorithms in as concise a code as possible. CSparse is about 2,200 lines long (excluding its MATLAB interface, demo codes, and test codes), yet it contains algorithms (either asympotical optimal or fast in practice) for all of the following functions described below. A MATLAB interface is included. Note that the LU and Cholesky factorization algorithms are not as fast as UMFPACK or CHOLMOD. Other functions have comparable performance as their MATLAB equivalents (some are faster). Documentation is very terse in the code; it is fully documented in the book. Some indication of how to call the C functions in CSparse is given by the CSparse/MATLAB/*.m help files. CSparse is part of the SuiteSparse sparse matrix suite.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamelibcsparse3
PackageRelease43.6
PackageVersion3.2.0
SHA-111B4EFD582EA5410DAEA4A9898FE518606CE4EB8
SHA-2561EB8856A68175DD31E1D3B7555A1E6601A71DCE4A1A6B536FAF9D2A63DD48799