LAPACK is a linear algebra library, based on LINPACK and EISPACK, designed to provide routines for handling simultaneous equations and matrix algebra efficiently, particularly on shared memory vector processors, parallel processors, and clusters. The code is written in Fortran, and requires the BLAS library.
A public domain library of subroutines for solving dense linear algebra problems, including systems of linear equations, linear least squares problems, eigenvalue problems, and singular value problems. It has been designed for efficiency on high-performance computers.
A highly efficient, open source linear algebra library widely available on high performance computers. Functions include solutions to linear equations and eigenvectors. Depends heavily on BLAS.
The LAPACK linear-algebra routines
(n.) A linear algebra software package, which has been mounted on a wide range of platforms. It evolved from the older LINPACK package from Netlib. See also ScaLAPACK.
A public domain library of mathematical subroutines. It replaces both LINPACK and EISPACK.
A library of Fortran 77 subroutines for solving the most common problems in numerical linear algebra: systems of linear equations, linear least squares problems, eigenvalue problems, and singular value problems. LAPACK been designed to be efficient on a wide range of high performance computers.
LAPACK, the Linear Algebra PACKage, is a software library for numerical computing written in Fortran 77. It provides routines for solving systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalue problems, Householder transformation to implement QR decomposition on a matrix and singular value problems. http://www.netlib.org/lapack95/ Lapack95 uses features of Fortran 95 to simplify the interface of the routines.
