Key | Value |
---|---|
MD5 | 57639850FC450D96A9D17CFB9D6765C9 |
PackageArch | armv7hl |
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 | ghibo <ghibo> |
PackageName | libcholmod5 |
PackageRelease | 1.mga9 |
PackageVersion | 5.13.0 |
SHA-1 | 0E95994880A5BD06272E27DC7FCB19C8D2000C93 |
SHA-256 | B0F92DA2FB30330A1F99B706AB0E8F8A1DECDAEA6A731E732C55AE1257B13811 |
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/lib/.build-id/84/88349f707eb461168ddc04465439b672eb9d73 |
FileSize | 39 |
MD5 | C91BBFBA9610E7C21F372C8B9DB94FD6 |
SHA-1 | 7B00141257493536DD22BFDA3605392117E1D9E9 |
SHA-256 | 4893622B761146786E0F40EEAC7D64A3B036BAE76A6D02DAC22E9AAD041F3916 |
SSDEEP | 3:gCD/Zd0KLQdQ:X/ZdR |
TLSH |
Key | Value |
---|---|
FileName | ./usr/lib/libcholmod.so.5.0.5 |
FileSize | 792040 |
MD5 | F954D82AF7D715AA73A92866D734D4D9 |
SHA-1 | 6C121E7ACDA0E70C70407982CC6ADBA22826C2DB |
SHA-256 | 25E00EC7A824CF8980AA5BE6BC92386AE5E26220C316AD1EB115685922041707 |
SSDEEP | 12288:017SRmKvywf+nLGbZVlHZe8cyRny+cuz8oggmZfW6RJy3ckB2:017SvNb5s8c2gZW6 |
TLSH | T1C5F43A85F8504F60CAE974B1FA7C4A4873821AB8D3EA704749247F7473DB66A477EB08 |
Key | Value |
---|---|
FileName | ./usr/lib64/libcholmod.so |
FileSize | 19 |
MD5 | D4C663EB8D34F853DBF8AE98ACB992D5 |
SHA-1 | 0DE8C14F05777E7348328ED3C58C62B2286844B2 |
SHA-256 | D9CBEA14FF263A03FE46006FBD20656089EF06CE8692F2233E67B68CCF830841 |
SSDEEP | 3:EG80KLQdQ:EGER |
TLSH |