Comprised of four numerical (iterative) methods for computing the singular value decomposition (SVD) of large sparse matrices using double precision Fortran 77.
A Java version numerically intensive test that has been used for years to measure the floating point performance of computers. By Jack Dongarra, Reed Wade, and Paul McMahan.
A collection of linear algebra routines with an improved interface which exploits Fortran 95 features such as assumed-shape arrays, optional arguments, and generic interfaces. Includes source code, documentation, and related papers.