Result for 35886E8A99C90F04442638ABC453247BD67F667A

Query result

Key Value
FileName./usr/lib64/libcsparse.so.3.2.0
FileSize59808
MD5542BF51AE88BA45937765CABBF163A7C
SHA-135886E8A99C90F04442638ABC453247BD67F667A
SHA-256F34C217D9BF42D01970BB8319CA295FB19C81D2DB3D67F9F723353DAB37CFFB1
SSDEEP1536:wWLoqrWBspMODCNaX5i2EcmJxNdnvxLZQgB5p4:lLoqrWBspMODrX5PYJ9vxLZQ
TLSHT10243E8CBA9A0865EC0B47D33D2D71771B62335352AC56F0CABECCF2708E27514609EA6
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
MD5BA282F62CD11FC7FEE9993686766E1E0
PackageArchs390x
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://www.suse.com/
PackageNamelibcsparse3
PackageRelease7.9
PackageVersion3.2.0
SHA-12747FAB57B4BE56BA259A2D69DD4A5F5AA85F62D
SHA-25661AD65F014425325E63E843BC06594E306F2A793CA35AFDF07DCC777B3489027