Result for 3060E56EA8109BBA090F8C73305E542F3FF2AFDC

Query result

Key Value
FileName./usr/lib64/libcolamd-2.9.6.so
FileSize38880
MD585D40F8FC196E8A055B4193008E0666D
SHA-13060E56EA8109BBA090F8C73305E542F3FF2AFDC
SHA-2561A31E02D18842559283DCF1693CF67866ED6DDF146D7FA1C662156251A3C7AA3
SSDEEP768:rpJYG7oFAuHjP7SHAyWj9OsC2umybtcwG7xSwo4Xb:r/YGc/j+ZOCvmyxK7xpowb
TLSHT1B103E8D3F9524B99CCB55F31C3DB95F4E227291416CB1E0CFA49D73348379A8BA1A481
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
MD55B3BCAFCC7CA52FAA77DBFF2C05D68E9
PackageArchs390x
PackageDescriptionThe COLAMD column approximate minimum degree ordering algorithm computes a permutation vector P such that the LU factorization of A (:,P) tends to be sparser than that of A. The Cholesky factorization of (A (:,P))'*(A (:,P)) will also tend to be sparser than that of A'*A. SYMAMD is a symmetric minimum degree ordering method based on COLAMD, available as a MATLAB-callable function. It constructs a matrix M such that M'*M has the same pattern as A, and then uses COLAMD to compute a column ordering of M. Colamd and symamd tend to be faster and generate better orderings than their MATLAB counterparts, colmmd and symmmd. COLAMD is part of the SuiteSparse sparse matrix suite.
PackageMaintainerhttps://www.suse.com/
PackageNamelibcolamd-2_9_6
PackageRelease2.42
PackageVersion2.9.6
SHA-1C3D28D96F015CBDC22C0E4B8EFA00F6CEDA1DBB1
SHA-2564D690CDB288C9CA44C52C6FD381DBAF576C54A0B5D21C03A8297105519264FA8