Result for 5FCB00A789A36576A7FB9C1C800D513617CBE624

Query result

Key Value
FileName./usr/lib64/libcolamd.so.2.9.6
FileSize32264
MD5E9C4220EB4A000A8CE73A94BF13E9111
SHA-15FCB00A789A36576A7FB9C1C800D513617CBE624
SHA-256350A9F08A27C0599A11BE3193E5EF28F6C3CE1E101FFB2495847A38B9A597CE2
SSDEEP384:fglWdydHnEXEoWBDZp5LcSVVEg7wrRqUwOndZ2fpuSNnhpBG7yRJ2wCB5RwgyP3L:P0zrcSVVEiMZIUSNnhgyrEB5wP9S
TLSHT15CE21A4BF57208FEC4EB8535538BA5A279347C6203112BB731488D342FBAFA41679B53
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
MD55D78CA30C8C10C5649F86F00A69172BE
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
PackageReleasebp153.44.4
PackageVersion2.9.6
SHA-13FE885F4F8DCB129B47D83992B331ED7D82549A6
SHA-2562DA03D3F90EA495D50482B800E8D115B8C44236278382EFC7A4AAF7643E7D227