Result for 0451AAA45EEE83E001F94164F080CAE6AB620DD5

Query result

Key Value
FileName./usr/lib64/libcolamd.so
FileSize18
MD54529ACAC199C49CE380EEEAD5897131D
SHA-10451AAA45EEE83E001F94164F080CAE6AB620DD5
SHA-256DCD7902DE0CA9880F349CCC2E3ACA178A4F6C4EE4CC61667DBABA1F9979D7867
SSDEEP3:EG3aWKqV:EG3Iu
TLSH
hashlookup:parent-total26
hashlookup:trust100

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Parents (Total: 26)

The searched file hash is included in 26 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5A966445EECC5A7B1A93D9A3EA745ECBA
PackageArcharmv7hl
PackageDescriptionThe suitesparse-devel package contains files needed for developing applications which use the suitesparse libraries.
PackageMaintainerumeabot <umeabot>
PackageNamesuitesparse-devel
PackageRelease4.mga8
PackageVersion4.4.6
SHA-10765C267871F94300D0E6C9C996A197D7C25FAD6
SHA-2569DB2326CB644C73F54A83D07C679E7F6D045223697DE06CD1A6AAF513A9D9F0E
Key Value
MD50C85BCE83BD6FE7F43AD4030B0E43EA0
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.
PackageMaintainerumeabot <umeabot>
PackageNamelib64colamd2
PackageRelease3.mga7
PackageVersion4.4.6
SHA-1092E5C8A092FCA0202045DEF0494BF4B6D5A9E8B
SHA-256B9CC086E56D0C76222B384D6FB4214DC7C50EB3ADFB95FD816CB535523F2CCB5
Key Value
MD5A6A1E2CF78EE772FE15261A48356D815
PackageArchs390
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
PackageMaintainerFedora Project
PackageNamesuitesparse
PackageRelease4.fc22
PackageVersion4.3.1
SHA-109EBAF864850BEB45E14A045CC8AEE7390DD9B6F
SHA-256DC3A6019791382F1774D7D033E4DA24AA2CDE7D866FDA1050A9D706AD107A062
Key Value
MD5517C7ECDB924F47D74EF3E66AD2F35A8
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.
PackageMaintainerumeabot <umeabot>
PackageNamelib64colamd2
PackageRelease4.mga8
PackageVersion4.4.6
SHA-111FD8CA7C659BADC40BF14F97C3F81353A4E442E
SHA-2563B5B5553E2C18F6AC6E12A7F8E34E451D6C2E313C2624AAB0FA301D2F95AACBB
Key Value
MD56209CBB12B3DEB1B765532240221291F
PackageArchi586
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.
PackageMaintainerumeabot <umeabot>
PackageNamelibcolamd2
PackageRelease4.mga8
PackageVersion4.4.6
SHA-1253D6ADC4F5155BF09E342F2A907F67A935E9F60
SHA-256AD4AB8AE2BCF8C88C41432471E794A23DA133FACF9F2D991D39745E436576484
Key Value
MD521F040349DE3448AA832F1109068BC7C
PackageArchi586
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.
PackageMaintainerumeabot <umeabot>
PackageNamelibcolamd2
PackageRelease3.mga7
PackageVersion4.4.6
SHA-13736418955AB3C88364949B5775BD4128F0AD815
SHA-256A31DFF533A74843AA61E63BCE5A029286FEC7B8377D57C527229BD55E5B63CF2
Key Value
MD5F69BF6721CA92473CB804AD99A0B2822
PackageArchaarch64
PackageDescriptionThe suitesparse-devel package contains files needed for developing applications which use the suitesparse libraries.
PackageMaintainerumeabot <umeabot>
PackageNamesuitesparse-devel
PackageRelease3.mga7
PackageVersion4.4.6
SHA-149894A10ACE9B8777123D2481AA447E5FFCA3D4A
SHA-256324C9CE450E23E5B010EF519221F16A6B2DB23C40FBC325273BFB0F5834C27CD
Key Value
MD53C8CAD7F36288EF2F01B141C31508E80
PackageArchppc64
PackageDescriptionThe suitesparse-devel package contains files needed for developing applications which use the suitesparse libraries.
PackageMaintainerFedora Project
PackageNamesuitesparse-devel
PackageRelease4.fc22
PackageVersion4.3.1
SHA-14AC79E2EB1540E82B680457D3E8CDC4103E0F12D
SHA-256FD38D474EFCCA76D0DD1C6078543F5334271EB47761C09DF908B90CCCC71BABF
Key Value
MD50F138C2A90F5101C954FF381A01F5D4B
PackageArcharmv7hl
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.
PackageMaintainerumeabot <umeabot>
PackageNamelibcolamd2
PackageRelease4.mga8
PackageVersion4.4.6
SHA-15130A3B4EF20005FD28E9632E1B3B58591A9D5E7
SHA-256CB6F6480086E38CC1A5BA49940B86320EABD627B3362E5BA06A9DF8553139225
Key Value
MD55C1FC331B7B35E2B40F8C878F80F85C9
PackageArchx86_64
PackageDescriptionThe suitesparse-devel package contains files needed for developing applications which use the suitesparse libraries.
PackageMaintainerumeabot <umeabot>
PackageNamesuitesparse-devel
PackageRelease3.mga7
PackageVersion4.4.6
SHA-15F79210504A14E49E8348ABA44E0BA58869A95A4
SHA-256E9A043D7361692E8E7E329082237BF1DA843C17827C46A63FCDA68C826C97A41