| Key | Value |
|---|---|
| FileName | lapack-3.2.1.tgz |
| FileSize | 4792502 |
| MD5 | A3202A4F9E2F15FFD05D15DAB4AC7857 |
| SHA-1 | C75223FDEF3258C461370AF5D2B889D580D7F38A |
| SHA-256 | 5825F83971157001FD4235514AFE8FF5FC16E1C06B2E872E442C242EFD6C166D |
| SSDEEP | 98304:svfBLzH+5JaYTMkR4JRVLcGBD8HNxlcEW5DqGCe:61g8bVYGB6xlczxqGCe |
| TLSH | T17D263353E7506687D005F1F8C7B0FAD42C27069EAA3B0B96EB379E910DF183AF592059 |
| hashlookup:parent-total | 2 |
| hashlookup:trust | 60 |
The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| MD5 | A0C977A2D31DC0CA5B9068E7C2BBB6E6 |
| PackageArch | armv5tel |
| PackageDescription | LAPACK (Linear Algebra PACKage) is a standard library for numerical linear algebra. LAPACK provides routines for solving systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalue problems, and singular value problems. Associated matrix factorizations (LU, Cholesky, QR, SVD, Schur, and generalized Schur) and related computations (i.e., reordering of Schur factorizations and estimating condition numbers) are also included. LAPACK can handle dense and banded matrices, but not general sparse matrices. Similar functionality is provided for real and complex matrices in both single and double precision. LAPACK is coded in Fortran77 and built with gcc. |
| PackageMaintainer | Fedora Project |
| PackageName | lapack |
| PackageRelease | 4.fc13 |
| PackageVersion | 3.2.1 |
| SHA-1 | B376ECC3F93E721FC99037D10D3F8B3D9792A2AA |
| SHA-256 | DEC335B8015C7EDD2DC2FBAA10DE8F1A9FF86875B978D03547C48AA8DF39FE14 |
| Key | Value |
|---|---|
| MD5 | 29F05F72BBA1FFDED32EA2336F17239F |
| PackageArch | sparc64 |
| PackageDescription | LAPACK (Linear Algebra PACKage) is a standard library for numerical linear algebra. LAPACK provides routines for solving systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalue problems, and singular value problems. Associated matrix factorizations (LU, Cholesky, QR, SVD, Schur, and generalized Schur) and related computations (i.e., reordering of Schur factorizations and estimating condition numbers) are also included. LAPACK can handle dense and banded matrices, but not general sparse matrices. Similar functionality is provided for real and complex matrices in both single and double precision. LAPACK is coded in Fortran77 and built with gcc. |
| PackageMaintainer | Fedora Project |
| PackageName | lapack |
| PackageRelease | 3.fc12 |
| PackageVersion | 3.2.1 |
| SHA-1 | A0381BE0E3AA74664762C24A0DC7DF20B11D7EC0 |
| SHA-256 | 1D772980965E522E1A38FFB97836CE4A90A8DD1510F12EA5156DE5A6968A9820 |