Key | Value |
---|---|
MD5 | 49E56635E74A58E3E70F50201900C0B8 |
PackageArch | aarch64 |
PackageDescription | CHOLMOD is a set of routines for factorizing sparse symmetric positive definite matrices of the form A or AA', updating/downdating a sparse Cholesky factorization, solving linear systems, updating/downdating the solution to the triangular system Lx=b, and many other sparse matrix functions for both symmetric and unsymmetric matrices. Its supernodal Cholesky factorization relies on LAPACK and the Level-3 BLAS, and obtains a substantial fraction of the peak performance of the BLAS. Both real and complex matrices are supported. |
PackageMaintainer | joequant <joequant> |
PackageName | lib64cholmod5 |
PackageRelease | 2.mga9 |
PackageVersion | 5.12.0 |
SHA-1 | B908A757E41F5904A666264D55EF056F45D156A1 |
SHA-256 | 4DA250716D89937D6B93E73550D9C91DE0EE7BE98264E3115F3097851E3B5402 |
hashlookup:children-total | 3 |
hashlookup:trust | 50 |
The searched file hash includes 3 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/lib64/libcholmod.so.5.0.5 |
FileSize | 801552 |
MD5 | 29F2BBE8AC5D10CCF2187C0CB801D9E1 |
SHA-1 | FE8D0740C3290AFD455F8857F684B10F596ED2A5 |
SHA-256 | 1EF55EACD3CFC202CDEDE97566165F353AA6F163BA4E1EF64764F66B844B9C3E |
SSDEEP | 24576:a2d7vx8995j5S/GQHV9lW3AFehxrCl0w4mLZIkfxR8:D/H4Ron4 |
TLSH | T1FC05BF1EFC4DBD43DB95F3766F4C46E0735B39D4B20210B72802328EAAA7DFA9599121 |
Key | Value |
---|---|
FileName | ./usr/lib/.build-id/95/b3cd019ed22c0c23579a1ec35f59ab4764a909 |
FileSize | 41 |
MD5 | 61BDAE778E3331B9C472139C1A6354B8 |
SHA-1 | C44E539B8246FB2496244FBC281C8D4D24E11580 |
SHA-256 | 775E17D76B7DF1C31D7EA0A56B35774B16557C5BB825D7047E4F2C37EB3154F4 |
SSDEEP | 3:gCD/Td0KLQdQ:X/TdR |
TLSH |
Key | Value |
---|---|
FileName | ./usr/lib64/libcholmod.so |
FileSize | 19 |
MD5 | D4C663EB8D34F853DBF8AE98ACB992D5 |
SHA-1 | 0DE8C14F05777E7348328ED3C58C62B2286844B2 |
SHA-256 | D9CBEA14FF263A03FE46006FBD20656089EF06CE8692F2233E67B68CCF830841 |
SSDEEP | 3:EG80KLQdQ:EGER |
TLSH |