Result for B52B36B1849ACD4A980755CC9A95C6293D44DA9B

Query result

Key Value
FileName./usr/lib64/libcolamd-2.9.6.so
FileSize30784
MD58102208E2776F8CABAF5D7F68FBAD6E9
SHA-1B52B36B1849ACD4A980755CC9A95C6293D44DA9B
SHA-2567F4900BBBA610E57548D3C15A2E6D6A68C5FCEF05E474106FEB0655E697ACB86
SSDEEP384:5iHnEXEWmnDHPrKOAJUcA2f0KXX4kpBozQ/IiwjF840Dou3XNolCvuYMM:4rYsI0uX4kCQAVFzuNo
TLSHT18AD22947F07108FDC4EFD535A38AA59379387C6213052BA73188C9342FBAFA42669B57
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
MD5CA49AFF62E3945B1AE16FFB8E8DFE195
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://www.suse.com/
PackageNamelibcolamd-2_9_6
PackageRelease2.42
PackageVersion2.9.6
SHA-1C9B4CAE8CC9127D3E62ECF4CF055552AAB018F18
SHA-2560076F4830DC6ACE3C37D7389190BC55434E7BE3C6C68F99D7D2F4E81C441339A