Parents (Total: 7)

The searched file hash is included in 7 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	7D4770DE18C962A662D2F804F428EED7
PackageArch	x86_64
PackageDescription	LAPACK provides routines for solving systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalue problems, and singular value problems. The associated matrix factorizations (LU, Cholesky, QR, SVD, Schur, generalized Schur) are also provided, as are related computations such as reordering of the Schur factorizations and estimating condition numbers. Dense and banded matrices are handled, but not general sparse matrices. In all areas, similar functionality is provided for real and complex matrices, in both single and double precision.
PackageName	lapack
PackageRelease	23.1
PackageVersion	3.8.0
SHA-1	6C165D91DCD7E261ECC5BC5CC4262AD6FAB3BB3A
SHA-256	7E68963BFA49D3CB145FB2739AFC2630D243C45888B8A938034D69A129D5204C

Key	Value
MD5	58AA8815F2A6C596244047B140EE4890
PackageArch	i686
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 Fortran90 and built with gcc.
PackageMaintainer	CloudLinux Packaging Team <packager@cloudlinux.com>
PackageName	lapack
PackageRelease	8.el8
PackageVersion	3.8.0
SHA-1	09F0A12FEFADB8B2882C5D79DB3ED3522F4388BB
SHA-256	7500CC914B5DA172A1BFD4D4E8B7AA60BF31904E2564543D58EB766A01B86B62

Key	Value
MD5	A164244AB6E02B016E90D89A5263C9C8
PackageArch	x86_64
PackageDescription	LAPACK provides routines for solving systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalue problems, and singular value problems. The associated matrix factorizations (LU, Cholesky, QR, SVD, Schur, generalized Schur) are also provided, as are related computations such as reordering of the Schur factorizations and estimating condition numbers. Dense and banded matrices are handled, but not general sparse matrices. In all areas, similar functionality is provided for real and complex matrices, in both single and double precision.
PackageName	lapack
PackageRelease	23.1
PackageVersion	3.8.0
SHA-1	1F13AE47F324BE180332AEFEA230F6E12A4DCD32
SHA-256	08734B003AB27E5D2FBFF975D5AF4AC84E389D0DE5C33621A35DDF1D3C3372E5

Key	Value
MD5	66B4D6911A6B1BFA19389E1D10A61185
PackageArch	aarch64
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. The lapack package provides the dynamic libraries for LAPACK/BLAS.
PackageMaintainer	umeabot <umeabot>
PackageName	lapack
PackageRelease	4.mga7
PackageVersion	3.8.0
SHA-1	E84879BF390C9C88B8500695611EDF0B07F2B54E
SHA-256	128EF1259A15E7B7C42A4D41B912A32DC450537D5A85E2FCECA185376A15028D

Key	Value
MD5	E11CACD86E4CC029D07F052A25722372
PackageArch	x86_64
PackageDescription	LAPACK provides routines for solving systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalue problems, and singular value problems. The associated matrix factorizations (LU, Cholesky, QR, SVD, Schur, generalized Schur) are also provided, as are related computations such as reordering of the Schur factorizations and estimating condition numbers. Dense and banded matrices are handled, but not general sparse matrices. In all areas, similar functionality is provided for real and complex matrices, in both single and double precision.
PackageName	lapack
PackageRelease	29.1
PackageVersion	3.8.0
SHA-1	AA524409C204AABA113938587DA0529F6664650D
SHA-256	2D5A8CA87F9C6DEE95955CD45542DF3019EA3B587A9BC947355DB89637C043FB

Key	Value
MD5	A28EE833461A90922BF66BE7F17D95D8
PackageArch	x86_64
PackageDescription	LAPACK provides routines for solving systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalue problems, and singular value problems. The associated matrix factorizations (LU, Cholesky, QR, SVD, Schur, generalized Schur) are also provided, as are related computations such as reordering of the Schur factorizations and estimating condition numbers. Dense and banded matrices are handled, but not general sparse matrices. In all areas, similar functionality is provided for real and complex matrices, in both single and double precision.
PackageName	lapack
PackageRelease	20.1
PackageVersion	3.8.0
SHA-1	48B6615B314795A995C66EBE93C096AE7962AD9D
SHA-256	6DF2CCC087D342B20D20205D7C1BB8EC6855FA9D13471E33108C2192EA4F5CCA

Key	Value
MD5	0E12142441F8F807E1E0318E93437F0F
PackageArch	x86_64
PackageDescription	LAPACK provides routines for solving systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalue problems, and singular value problems. The associated matrix factorizations (LU, Cholesky, QR, SVD, Schur, generalized Schur) are also provided, as are related computations such as reordering of the Schur factorizations and estimating condition numbers. Dense and banded matrices are handled, but not general sparse matrices. In all areas, similar functionality is provided for real and complex matrices, in both single and double precision.
PackageName	lapack
PackageRelease	lp150.23.1
PackageVersion	3.8.0
SHA-1	A73FC85D5814B15EAE064C6E70B97D44D9F625B9
SHA-256	E83753A6ED24922BA5783F5AE63B90CC662D3E15BB2BFFD6538ACA817BE3DACB