Result for 6377A634E6FA5ED66D207D4EFF28EC828B73B7D6

Query result

Key Value
FileName./usr/lib64/libcolamd-2.9.6.so
FileSize30792
MD55F780CC6B3D5BA1E26E12156A38BAAEF
SHA-16377A634E6FA5ED66D207D4EFF28EC828B73B7D6
SHA-25691A19EB1C32F1E57273F82623758E482E6CCF4FEAE84E72E075BE784A4BC6B28
SSDEEP384:ViHnEXEWmnDHPrKOAJUcA2f0KXX4kpBozQ/IiwjF840Dou3XNolCvuYEeeM:srYsI0uX4kCQAVFzuNoe
TLSHT13BD2294BF07108EDC4EFD535A38AA59379387C62130527A73188C9342FBAFA42669B57
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
MD5EA85E24FAF32693D04929907ED590E02
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
PackageNamelibcolamd-2_9_6
PackageReleaselp150.2.12
PackageVersion2.9.6
SHA-159CE2A8F93ADCD91E6A164F309E25D534ED13B03
SHA-25640D5DAE632834D95E9956C97D25072B8FD91E89FE85E143897CDEAE9C20184A0