Result for 7BC3A6A398F7A84C3100F46818CA0F584DE7FB82

Query result

Key Value
FileName./usr/lib64/libcolamd.so.2.9.6
FileSize32840
MD534F90A6D5D236708DC209A958DD5B035
SHA-17BC3A6A398F7A84C3100F46818CA0F584DE7FB82
SHA-256D7F031D278DE56975A35608B149952F519C7C7947A235364A2C8231A0CCD9369
SSDEEP384:A8glsDPaHnEXEoWBDZp5LcSVVEg7wrRqUwOndZ2fp6SinhpBG7yRJ2wCI5RwgyPd:5KrcSVVEiMZIISinhgyrEI5wPtC
TLSHT1EEE21947F4B208FEC4EBC535539BA5A27A35BC62031127B730488A342F6AFA81679757
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
MD520E9FA6C72E15F406AD8D1968E932682
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
PackageReleasebp150.44.1
PackageVersion2.9.6
SHA-14ADAD608D447A14FE95E1CD4E4E6489508446B34
SHA-25687A3D99116AF7C4525C1FECCB25486819BB2F6C0BA8A15E674281608E4046264