Result for 8706A8F8998218FC1026F76DAC499D9968DB3C3C

Query result

Key Value
FileName./usr/lib64/libcolamd.so.2.9.6
FileSize30792
MD55BB24D24682A46A40855BB3844FFBA88
SHA-18706A8F8998218FC1026F76DAC499D9968DB3C3C
SHA-256A0D811F863CFC1073A135683EECA567C2F26FFE08A5D1064DCAC5C48DC4980E0
SSDEEP384:PglsbziHnEXEoWBDZp5LcSVVEg7wrRqUwOndZ2fp6SinhpBG7yRJ2wCI5RwgyP3W:TmrcSVVEiMZIISinhgyrEI5wPtC
TLSHT1F2D2084BF47208FEC4EFC535939BA5927A387C6202112BB73188C9342F7AF691669753
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
MD57E6877CD710DED8A42D245E815E18309
PackageArchx86_64
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://bugs.opensuse.org
PackageNamelibcolamd2
PackageReleaselp152.5.10
PackageVersion2.9.6
SHA-10437EF0F1194F525779DFC80971DE0E4B5CA4F07
SHA-256AC679E1EA2E1DE30D1598C1BCFCC9913330D1E8888BFD16ADC222040BE57C487