Result for 4725F667B3190FC05FE0380BB1B8241A05D93B52

Query result

Key Value
FileName./usr/share/doc/packages/libcamd2/ChangeLog
FileSize2968
MD5F5247A8684B933674C13D9718111C097
RDS:package_id263811
SHA-14725F667B3190FC05FE0380BB1B8241A05D93B52
SHA-256DF65E8333B51B4046123DF3F80B19C0F7598D1BC971E73F4395E833BA9EFFA3A
SSDEEP48:Vxp0wx6ixqcxFyx+SwEhsCrf7hs+TjzNMevdWRNWbFSUXOUZjUXLnyAx10Tx9Lzu:Xpx6wqSFgxwGTTTjzNMadWRNWbFSWjSP
TLSHT1E751826F32841AF293B042E14ADD5471F3EC42BF3B56018C311DC22C77736AD536AA52
insert-timestamp1654960629.9156249
sourcemodern.db
hashlookup:parent-total31
hashlookup:trust100

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Parents (Total: 31)

The searched file hash is included in 31 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD56A2387CCD49330DE84623FE69552EC17
PackageArchs390x
PackageDescriptionCAMD is a set of routines for ordering a sparse matrix prior to Cholesky factorization (or for LU factorization with diagonal pivoting). There are versions in both C and Fortran. A MATLAB interface is provided. CAMD is part of the SuiteSparse sparse matrix suite.
PackageNamelibcamd2
PackageRelease45.1
PackageVersion2.4.6
SHA-1000CE1C8DC54BFAC3917F4AF07391568892C6924
SHA-256872F89FF0EA3815CCE4918E46F13EB44324B82C235A1F9AC2871959A86763680
Key Value
FileNamelibcamd2-2.4.6-7.9.x86_64.rpm
FileSize193052
MD5EB6BAEEA73D3F34BD56E6F609A49FE54
PackageArchx86_64
PackageDescriptionCAMD is a set of routines for ordering a sparse matrix prior to Cholesky factorization (or for LU factorization with diagonal pivoting). There are versions in both C and Fortran. A MATLAB interface is provided. CAMD is part of the SuiteSparse sparse matrix suite.
PackageMaintainerhttps://www.suse.com/
PackageNamelibcamd2
PackageRelease7.9
PackageVersion2.4.6
RDS:package_id263809
SHA-1007C8F029EE6030A1C45F88DFC6A33A5EE8AAAF1
SHA-256110A9289152132862C335900FE2F1A14FA239C98C1F7BF6B03CC95A2368CEECA
insert-timestamp1654958819.9699438
sourcemodern.db
Key Value
MD5895F0C582E102797A1B57E6D48DE2177
PackageArchx86_64
PackageDescriptionCAMD is a set of routines for ordering a sparse matrix prior to Cholesky factorization (or for LU factorization with diagonal pivoting). There are versions in both C and Fortran. A MATLAB interface is provided. CAMD is part of the SuiteSparse sparse matrix suite.
PackageNamelibcamd2
PackageReleasebp150.44.1
PackageVersion2.4.6
SHA-10989EBB643627A506C895CBBF41B3F611E18E9F9
SHA-2566B4F7B4861C26AFCC9D06784C5A317AE20F5509D2B7CEB5ECB69D469E797B7B7
Key Value
MD57F9691FEA2E7A6EE3AA73459DBF207FF
PackageArchx86_64
PackageDescriptionCAMD is a set of routines for ordering a sparse matrix prior to Cholesky factorization (or for LU factorization with diagonal pivoting). There are versions in both C and Fortran. A MATLAB interface is provided. CAMD is part of the SuiteSparse sparse matrix suite.
PackageNamelibcamd2
PackageRelease85.1
PackageVersion2.4.6
SHA-10D7E69AB23A51610FC9A9B564CE3123DCE8206A7
SHA-256942676BB1DCE236CD030BDCC00EF03355E7795CB20F455DF7CF41F642BA0609C
Key Value
MD50A216B6B01AF0ED86AAC8BD4F884AE1D
PackageArchx86_64
PackageDescriptionCAMD is a set of routines for ordering a sparse matrix prior to Cholesky factorization (or for LU factorization with diagonal pivoting). There are versions in both C and Fortran. A MATLAB interface is provided. CAMD is part of the SuiteSparse sparse matrix suite.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamelibcamd2
PackageRelease43.6
PackageVersion2.4.6
SHA-11D42FB17E854E6EA69A00FD108D6187A65C541DD
SHA-25655E1B63436B49E2C35967CD87A5B84A1995C913EEA4C28316C36E9DC811CDC16
Key Value
MD530C02A174F1DE813D711FAD41D1A5909
PackageArchx86_64
PackageDescriptionCAMD is a set of routines for ordering a sparse matrix prior to Cholesky factorization (or for LU factorization with diagonal pivoting). There are versions in both C and Fortran. A MATLAB interface is provided. CAMD is part of the SuiteSparse sparse matrix suite.
PackageNamelibcamd2
PackageRelease84.1
PackageVersion2.4.6
SHA-12BD366BA9B3FA3EA96842FA464CC35070AEDC6F5
SHA-256AFA86820E61E8D9AACD8AC565B9A48D3EA8FED475D7AEC4C767954B2D2B29150
Key Value
MD587CDBD55496B70FEF1C4312813B413F1
PackageArchs390x
PackageDescriptionCAMD is a set of routines for ordering a sparse matrix prior to Cholesky factorization (or for LU factorization with diagonal pivoting). There are versions in both C and Fortran. A MATLAB interface is provided. CAMD is part of the SuiteSparse sparse matrix suite.
PackageMaintainerhttps://www.suse.com/
PackageNamelibcamd2
PackageRelease7.9
PackageVersion2.4.6
SHA-12C8198296F90411CB6CF597FE5AD291BC8FB78E1
SHA-256A6DE51A7D6F2BE8EBEC33DCA892B86CF1931EAA4ED0550F5EAEE0126598C8CDD
Key Value
MD5099AB696A6560E1A1A3074AAF4A5CC15
PackageArchx86_64
PackageDescriptionCAMD is a set of routines for ordering a sparse matrix prior to Cholesky factorization (or for LU factorization with diagonal pivoting). There are versions in both C and Fortran. A MATLAB interface is provided. CAMD is part of the SuiteSparse sparse matrix suite.
PackageNamelibcamd2
PackageReleasebp153.44.4
PackageVersion2.4.6
SHA-13AE33755AB926AC61BBACB6ABA49D5FA4A42B085
SHA-2566B420190BC4FDDB26D258C70A309CDFCF8795EA3EAE41103696A1B9B7D244EC9
Key Value
MD5B7F3A5C58ABB67B31142C472C856F066
PackageArchx86_64
PackageDescriptionCAMD is a set of routines for ordering a sparse matrix prior to Cholesky factorization (or for LU factorization with diagonal pivoting). There are versions in both C and Fortran. A MATLAB interface is provided. CAMD is part of the SuiteSparse sparse matrix suite.
PackageNamelibcamd2
PackageReleasebp151.44.1
PackageVersion2.4.6
SHA-145358C9FE9250272D06186C7907606C317EB8E97
SHA-256130E8DB4035194B6F21EB6384CDEBAD4A26BBF3F8643CDB6E2A1C7633830CB61
Key Value
MD519BE26680E80CEBEABB4250CF35C0D77
PackageArchx86_64
PackageDescriptionCAMD is a set of routines for ordering a sparse matrix prior to Cholesky factorization (or for LU factorization with diagonal pivoting). There are versions in both C and Fortran. A MATLAB interface is provided. CAMD is part of the SuiteSparse sparse matrix suite.
PackageNamelibcamd2
PackageRelease85.3
PackageVersion2.4.6
SHA-150F8622D8568BE7DE6214269513DB32F4101F4D3
SHA-256774F45F6365FD8B0C46E3385D58C625560E2D9913571569270725800673A1E90