Result for EDC1879C0BE9255D60D76D0B0A16CA25C1EFDCCC

Query result

Key Value
FileName./usr/lib/libcolamd.so.2.9.6
FileSize26044
MD5EA8FB6C08046D73B50728CB2CC6700F0
SHA-1EDC1879C0BE9255D60D76D0B0A16CA25C1EFDCCC
SHA-25614B15F95583993B0FC03184FD734F7EDC44DC93BE97F3E2423B8ECA113E7C648
SSDEEP384:0glhs++ZlHjs5x0mQapbv5oby6LoS7jvuWzMw3GVon:nb+ZloOmNbRoHoyMs
TLSHT109C21786FBD1D4F3FBC711B441874B9796288922E592D672FB096E197D733852C8430B
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
MD51F3BC7617542A2C3A9795A977B1F7DC0
PackageArchi586
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
PackageRelease45.3
PackageVersion2.9.6
SHA-169DE957A3330E43C60CA7AD29EE109D0DE540D6C
SHA-2568DEE7EEE13275CF75826CCFF02CF6912D988B6C8DE36901078E53BD731ADCCF7