Result for 716CFFCBED616D66C30C08D7947338B15738C1F0

Query result

Key Value
FileNameMakefile.lapack
FileSize16207
MD58743396D6A95657BFAF7CD339E7B5FE9
SHA-1716CFFCBED616D66C30C08D7947338B15738C1F0
SHA-2563C086A39E80E1EAC6D5599419A5121702C43D4C0556295ACE96CABB4AA3C097E
SSDEEP384:UEoauPNbDDXpTUEhUhctTD5JbnIi58Vo6TNJBC:Vu/pTUEmcCXN/C
TLSHT1027256BFC87023A5640362EEDD97D42B484B9C8E60CE174237479FB9BCB15646789BC2
hashlookup:parent-total2
hashlookup:trust60

Network graph view

Parents (Total: 2)

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
MD5A0C977A2D31DC0CA5B9068E7C2BBB6E6
PackageArcharmv5tel
PackageDescriptionLAPACK (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.
PackageMaintainerFedora Project
PackageNamelapack
PackageRelease4.fc13
PackageVersion3.2.1
SHA-1B376ECC3F93E721FC99037D10D3F8B3D9792A2AA
SHA-256DEC335B8015C7EDD2DC2FBAA10DE8F1A9FF86875B978D03547C48AA8DF39FE14
Key Value
MD529F05F72BBA1FFDED32EA2336F17239F
PackageArchsparc64
PackageDescriptionLAPACK (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.
PackageMaintainerFedora Project
PackageNamelapack
PackageRelease3.fc12
PackageVersion3.2.1
SHA-1A0381BE0E3AA74664762C24A0DC7DF20B11D7EC0
SHA-2561D772980965E522E1A38FFB97836CE4A90A8DD1510F12EA5156DE5A6968A9820