All releases of LAPACK
Release Notes: This release adds xGEQRT, a QR factorization facility that enables better performance when the blocked reflectors need to be reused. It adds xGEQRT3, a recursive QR factorization facility that has high performance on tall and skinny matrices. It adds xTPQRT, a collection of Communication-Avoiding QR sequential kernels. It replaces the build system with CMAKE for better portability. It adds Doxygen documentation. It integrates LAPACKE's C language APIs into LAPACK.
Release Notes: Numerous bugfixes.
Release Notes: The APIs for C and Fortran have been cleaned up to make it easy to use both. Functions have been added for computing the complete CS decomposition of a partitioned unitary matrix. xSYTRF and xSYTRI have been accelerated. SLAMCH and DLAMCH have been made thread-safe.
Release Notes: Minor bugfixes and documentation cleanups.
Release Notes: 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.
Release Notes: A complex version of the SVD driver was added, and I/O has been simplified. Dependencies on LAPACK have been externalized, and assorted bugfixes have been made.
Release Notes: The BLAS implementation was completed. The number of timers accessible was increased. Code cleanups and bugfixes were made.
Release Notes: Bugfixes for errors that could produce inaccurate results or incorrect table sizes in certain cases. A Complex SVD driver has been added. Some documentation bugs have been fixed.
Release Notes: Many new algorithms. Several implementations have been replaced with much faster and/or much more accurate versions. Support has been added for exploiting fast single- precision hardware where possible. Thread safety has been added. Reliability on SMP systems has been improved. There is additional support for matrices with NaN/subnormal elements, and optimization of the balancing routines. Several bugfixes, including a rare bug that could produce wildly inaccurate results with QR factorization.
Release Notes: Fortran 90 support has been added.
