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LAPACK: Linear Algebra PACKage

Posted: Thu Apr 29, 2021 8:45 pm
by Ada Coda
LAPACK: Linear Algebra PACKage

Abstract: 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. The list of LAPACK Contributors is <a href="https://www.netlib.org/lapack/contribut ... >available online</a>.

Credit: LAPACK Contributors

Site: https://github.com/Reference-LAPACK/lapack
https://ui.adsabs.harvard.edu/abs/2021MNRAS.500.4439K

Bibcode: 2021ascl.soft04020L

ID: ascl:2104.020