Parents (Total: 3)

The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	5B3BCAFCC7CA52FAA77DBFF2C05D68E9
PackageArch	s390x
PackageDescription	The 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.
PackageMaintainer	https://www.suse.com/
PackageName	libcolamd-2_9_6
PackageRelease	2.42
PackageVersion	2.9.6
SHA-1	C3D28D96F015CBDC22C0E4B8EFA00F6CEDA1DBB1
SHA-256	4D690CDB288C9CA44C52C6FD381DBAF576C54A0B5D21C03A8297105519264FA8

Key	Value
MD5	CA49AFF62E3945B1AE16FFB8E8DFE195
PackageArch	x86_64
PackageDescription	The 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.
PackageMaintainer	https://www.suse.com/
PackageName	libcolamd-2_9_6
PackageRelease	2.42
PackageVersion	2.9.6
SHA-1	C9B4CAE8CC9127D3E62ECF4CF055552AAB018F18
SHA-256	0076F4830DC6ACE3C37D7389190BC55434E7BE3C6C68F99D7D2F4E81C441339A

Key	Value
MD5	EA85E24FAF32693D04929907ED590E02
PackageArch	x86_64
PackageDescription	The 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.
PackageMaintainer	https://bugs.opensuse.org
PackageName	libcolamd-2_9_6
PackageRelease	lp150.2.12
PackageVersion	2.9.6
SHA-1	59CE2A8F93ADCD91E6A164F309E25D534ED13B03
SHA-256	40D5DAE632834D95E9956C97D25072B8FD91E89FE85E143897CDEAE9C20184A0