Result for DA8DAEDB923D3AC57FB0D4E4B3436DCF05DAF5AF

Query result

Key Value
FileName./usr/lib/.build-id/d3/24a613e46766aeec0d28360bb6d96ffb51a5f0
FileSize41
MD5EECC1CCD88C3790BFA786FCA43C2B7E7
SHA-1DA8DAEDB923D3AC57FB0D4E4B3436DCF05DAF5AF
SHA-256F6C1FE22EFDA82176B8C738DD6E9D1A3DF78D05BFCD76662647B8DF944AFC704
SSDEEP3:gCD/iJbWKqU:X/qZv
TLSH
hashlookup:parent-total8
hashlookup:trust90

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Parents (Total: 8)

The searched file hash is included in 8 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5990A35789F1C53C626C79DB379F31126
PackageArchaarch64
PackageDescriptionsuitesparse is a collection of libraries for computations involving sparse matrices. The package includes the following libraries: AMD approximate minimum degree ordering BTF permutation to block triangular form (beta) CAMD constrained approximate minimum degree ordering COLAMD column approximate minimum degree ordering CCOLAMD constrained column approximate minimum degree ordering CHOLMOD sparse Cholesky factorization CSparse a concise sparse matrix package CXSparse CSparse extended: complex matrix, int and long int support KLU sparse LU factorization, primarily for circuit simulation LDL a simple LDL factorization SQPR a multithread, multifrontal, rank-revealing sparse QR factorization method UMFPACK sparse LU factorization SuiteSparse_config configuration file for all the above packages. RBio read/write files in Rutherford/Boeing format
PackageMaintainerCentOS Buildsys <bugs@centos.org>
PackageNamesuitesparse
PackageRelease11.el8
PackageVersion4.4.6
SHA-13B898930806BFBD158CDC2426C43939C0506245F
SHA-256D6FDD9734350129E19834CD41F396E023B52D65847997BA9D278CE4CFB3E0DF8
Key Value
MD5606E837526A66D2A9050EAC523B50C0E
PackageArchaarch64
PackageDescriptionThe CCOLAMD 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.
PackageMaintainerumeabot <umeabot>
PackageNamelib64ccolamd2
PackageRelease4.mga8
PackageVersion4.4.6
SHA-106AF403EDB34D7A07F662C3ADB679B9C365DBDEC
SHA-25681E80015DFB73BA8FCC6681EAC1FBE719BAAC56411D21C393879012EA99CE2C6
Key Value
MD516D068CD71F55D3038E96CB41B662568
PackageArchaarch64
PackageDescriptionThe CCOLAMD 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.
PackageMaintainerumeabot <umeabot>
PackageNamelib64ccolamd2
PackageRelease3.mga7
PackageVersion4.4.6
SHA-1412B0A448E09D4C49E3C7CCC4609334319BFB745
SHA-2568AE6875330EAF8B8491479F9C49C1C0843FEA97A172695FDB8C287AB5A2C5FF1
Key Value
MD53B3D5DFE5968994BD53A141940A04B2D
PackageArchx86_64
PackageDescriptionsuitesparse is a collection of libraries for computations involving sparse matrices. The package includes the following libraries: AMD approximate minimum degree ordering BTF permutation to block triangular form (beta) CAMD constrained approximate minimum degree ordering COLAMD column approximate minimum degree ordering CCOLAMD constrained column approximate minimum degree ordering CHOLMOD sparse Cholesky factorization CSparse a concise sparse matrix package CXSparse CSparse extended: complex matrix, int and long int support KLU sparse LU factorization, primarily for circuit simulation LDL a simple LDL factorization SQPR a multithread, multifrontal, rank-revealing sparse QR factorization method UMFPACK sparse LU factorization SuiteSparse_config configuration file for all the above packages. RBio read/write files in Rutherford/Boeing format
PackageMaintainerCloudLinux Packaging Team <packager@cloudlinux.com>
PackageNamesuitesparse
PackageRelease11.el8
PackageVersion4.4.6
SHA-18121A4AF5D740A6248C7C35A3C4E4B3971A5E2FA
SHA-256BB6C128427C15DEAC122BFA251E78BAF64FCA0D82443566638B42035D918C5AE
Key Value
MD53A7B25214A067C1FEACC4A85A48C5FC8
PackageArchx86_64
PackageDescriptionsuitesparse is a collection of libraries for computations involving sparse matrices. The package includes the following libraries: AMD approximate minimum degree ordering BTF permutation to block triangular form (beta) CAMD constrained approximate minimum degree ordering COLAMD column approximate minimum degree ordering CCOLAMD constrained column approximate minimum degree ordering CHOLMOD sparse Cholesky factorization CSparse a concise sparse matrix package CXSparse CSparse extended: complex matrix, int and long int support KLU sparse LU factorization, primarily for circuit simulation LDL a simple LDL factorization SQPR a multithread, multifrontal, rank-revealing sparse QR factorization method UMFPACK sparse LU factorization SuiteSparse_config configuration file for all the above packages. RBio read/write files in Rutherford/Boeing format
PackageMaintainerCentOS Buildsys <bugs@centos.org>
PackageNamesuitesparse
PackageRelease11.el8
PackageVersion4.4.6
SHA-198E14B54F518A34F5438CBE2A749F1E7F2147C2A
SHA-25620C4442E89077D4C4E534E7A2F26E49FDE9B63F22E29FC76F95D0F3A2538EAFF
Key Value
MD5012087517E7C7ACA9A954ACB225193E2
PackageArchx86_64
PackageDescriptionThe CCOLAMD 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.
PackageMaintainerumeabot <umeabot>
PackageNamelib64ccolamd2
PackageRelease4.mga8
PackageVersion4.4.6
SHA-15B6730686E02D1BD4C672C7F72D5848304AFFFF0
SHA-2569007E99794926A2BF65022A7A1821BDCD70341D0397563E5C86C92C2DC14E550
Key Value
MD5D31D938CD4C60A925CE38B949C77A532
PackageArchppc64le
PackageDescriptionsuitesparse is a collection of libraries for computations involving sparse matrices. The package includes the following libraries: AMD approximate minimum degree ordering BTF permutation to block triangular form (beta) CAMD constrained approximate minimum degree ordering COLAMD column approximate minimum degree ordering CCOLAMD constrained column approximate minimum degree ordering CHOLMOD sparse Cholesky factorization CSparse a concise sparse matrix package CXSparse CSparse extended: complex matrix, int and long int support KLU sparse LU factorization, primarily for circuit simulation LDL a simple LDL factorization SQPR a multithread, multifrontal, rank-revealing sparse QR factorization method UMFPACK sparse LU factorization SuiteSparse_config configuration file for all the above packages. RBio read/write files in Rutherford/Boeing format
PackageMaintainerCentOS Buildsys <bugs@centos.org>
PackageNamesuitesparse
PackageRelease11.el8
PackageVersion4.4.6
SHA-12E0368E921A1A929B3B9401CFF3D7F8F1FA7DBE6
SHA-25615E91256CA3BD75A14B384AE3BD404711A17152BA0202871F9903E0903739A2D
Key Value
MD5F2E7D29966CF79C72D20915BBF5272FC
PackageArchx86_64
PackageDescriptionThe CCOLAMD 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.
PackageMaintainerumeabot <umeabot>
PackageNamelib64ccolamd2
PackageRelease3.mga7
PackageVersion4.4.6
SHA-109D513FF2FDCA92D87C2423C06C86D2023657D74
SHA-256BB8D59E7015BA563A28501EA083BA570A469E43613A585FF03D319623B074E6A