Result for 6A1C9BCA4F5D6CF5E509F7C3B299A9E204EF961D

Query result

Key Value
FileName./usr/lib64/libcolamd.so.2.9.6
FileSize30792
MD5469335EF652951AD8A1CBC381030BC8D
SHA-16A1C9BCA4F5D6CF5E509F7C3B299A9E204EF961D
SHA-256A5B85B172D8CECAB08EE45A0A61A44CD1346830E3FDB0E13D65353B3086282A0
SSDEEP384:ukglsKziHnEXEomnDHPrKOAJUcA2f0Kxn4kpBozQ/IiwjF840Dou3nNFlCvuY:udYrYsI0Qn4kCQAVFzudz
TLSHT116D22947F07108EDC4EBD535A38BA593BA387C62031527AB318889342F7AFA41669B57
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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
CRC32FF593691
FileNamelibcolamd2-2.9.6-lp151.4.1.x86_64.rpm
FileSize44872
MD5301586346D307618784F270848B71AF3
OpSystemCode362
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
PackageReleaselp151.4.1
PackageVersion2.9.6
ProductCode215189
SHA-1695A0FF64C7848C4FD84717ED8575032C3F1330B
SHA-256E171999E96EABB9F8D0AD301DEE13FCE2AA252FAB41F3C42C3D2636ADC327FA1
SpecialCode
dbnsrl_modern_rds
insert-timestamp1647017067.8448975
sourceNSRL