Result for 56113A0FF217F984AD925C1610EEF8534D23490C

Query result

Key Value
FileName./usr/lib64/libcolamd.so.2.9.6
FileSize32264
MD55A7CC00378DAC82B07EB3BCD81C48FB2
SHA-156113A0FF217F984AD925C1610EEF8534D23490C
SHA-25651D160C171C8E3638DCF889AA60BE0D20F0CA544958AAB1B0F2E8E53B3379BFB
SSDEEP384:rglsDXaHnEXEoWBDZp5LcSVVEg7wrRqUwOndZ2fp+S2nhpBG7yRJ2wCB5RwgyP3x:vCrcSVVEiMZIES2nhgyrEB5wPtC
TLSHT1FDE20947F47208FEC4EBC535539BA5A27A34BC6203112BB7314889342F76FA81679B57
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
MD5337204EE70CFBE95FA5692CD74AB3DB6
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.
PackageNamelibcolamd2
PackageReleasebp152.44.3
PackageVersion2.9.6
SHA-15E711AA8A8473230F849E20E927908100E3371BC
SHA-25691099CDBE20A7808A2A8BE80ADAA42403AFD8050C5E914CAFA0E5CD698F6EAB1