Result for 1C8F338595300320BB41A237FCDB6086B198B1A5

Query result

Key Value
FileName./usr/lib64/libcsparse.so.3.2.0
FileSize51712
MD550B4B037C372945A22F889FDFA9D9D60
SHA-11C8F338595300320BB41A237FCDB6086B198B1A5
SHA-256B50F2D1023EAA881658930FF5505029E35DC2401A0710DF416BCB481E48F6B67
SSDEEP768:n3el9lqrCm25Q9L4zFe5oy1Pco7LAbPykc95wMXX5sTo2gErr1s6G8+awD:n3eTryTHEA0b29SM5lgrr1s6G8+a
TLSHT1AC335B4BF0A318FDC5EBC13483A7AA26B970746557063A7B3184EB351A5BF34172EB12
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
MD5F58F877D79510DC021B5A344C7330AFE
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.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamelibcsparse3
PackageReleaselp152.5.10
PackageVersion3.2.0
SHA-10BE051E5FC2FA324DA7CB9C2F07194FFAE467A6F
SHA-256D3E79D49CFB1EB5BD24B2DE96A0561EE2B5BA34D46C1268E2DE38CC6E37EB204