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 (Basic Linear Algebra Subprograms) library.License: BSD License (revised)Changes:
Extra-precise iterative refinement. XBLAS. Non-negative diagonals from Householder QR. High-performance QR and Householder Reflections on low-profile matrices. A new fast and accurate Jacobi SVD. Routines for Rectangular Full Packed format. Pivoted Cholesky. Mixed precision iterative refinement routines. Some new variants for one-sided factorization. A more robust DQDS algorithm. Improvements to the multi-shift Hessenberg QR algorithm.



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