Result for 1256966A0DBDE72D6E314F41E92CEE7B53A88B82

Query result

Key Value
FileName./usr/lib64/libcsparse.so.3.2.0
FileSize55888
MD53C978A845D4483DC252F15778EA4F8EF
SHA-11256966A0DBDE72D6E314F41E92CEE7B53A88B82
SHA-256FFFF6AAB0B6759F24A668D7FC2AB33EAE5ABAAFAA183BDA33165F6E6CDA61F65
SSDEEP1536:WoG+FAb+IaHoat/MEVmGYdmu4+OrhQZG6Bqq:g+tIaIWRK4+8QZj
TLSHT1E9434A4BF2A318FDC5DAC43083ABA6527970B02566113D7B3984DB341F6AF70971EB22
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
MD5D2F1D74A535177BD72F8F1B765C0CCD7
PackageArchx86_64
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.
PackageNamelibcsparse3
PackageRelease85.70
PackageVersion3.2.0
SHA-107CAC346EB474090F0BD84DDA1A3BDFDA1772FDB
SHA-2566F78A2398D4577FA8A5558EA311B0B9B5E1D73ABFA4773FC73E8A623FCE49A02