Result for 21E512C7E49834A85F3FCAAD86803DADD74A1678

Query result

Key Value
FileName./usr/lib64/libcolamd.so.2.9.6
FileSize30792
MD5204615E0F0DB4324302A52BD06522881
SHA-121E512C7E49834A85F3FCAAD86803DADD74A1678
SHA-25617008FC1630CE4EAA8BCA8CAF521EBFFD168AE7EB8BD697CE153D89FA21F89B8
SSDEEP384:6kFHnEXEWmnDHPrKOAJUcA2f0K3U4kpBozQ/IiwjF840Dou33NIlCvuY:zNrYsI0OU4kCQAVFzutI
TLSHT18BD22947F47108EDC4AFD535A38AA593B9387C62030527AB3148C9342FBAFA42669B57
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
MD5F6A2D7D1EFA0D57B2F45CCC192CF34B5
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.
PackageNamelibcolamd2
PackageReleaselp150.59.1
PackageVersion2.9.6
SHA-11558E80A498BF522DB7CB737431CBB59F945FF8B
SHA-256190371BFB18C7EA5E521BD181B68DEF45DF37D077DDDBF740F1C1E79DC0F000D