Result for 97F0C551C551EA74D4A7D84DF0D40C974C67953E

Query result

Key Value
FileName./usr/lib64/libcsparse.so.3.2.0
FileSize51688
MD5C587F4C004642B9C30DFCBF727F02F8F
SHA-197F0C551C551EA74D4A7D84DF0D40C974C67953E
SHA-2562F81A85992C05374C8B85E8458C9D530B0DBD4619987B43F3B017199B08765BD
SSDEEP768:C33lrowmrCm25w9L4zFeZoyFPcQ7r4zPykc964sXXSsToXAMruz08+qAw:C33xdtST3Eocz29VsSllruz08+q
TLSHT183335B8FF0A214FDC5EBC03443AB6A267570B87567063A7B3084DB351E5BE25672EB12
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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
MD59CFDE77EF234ABC4BE6AFA535B134410
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://www.suse.com/
PackageNamelibcsparse3
PackageRelease150100.9.2.3
PackageVersion3.2.0
SHA-11676EC26E57C8510CF30E1DD180B60497F35BA9B
SHA-256CA792CD8366259B669CE0403F83D3074309F26ADCDEE04B202BB351229C9AD16