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.
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.
Comprised of four numerical (iterative) methods for computing the singular value decomposition (SVD) of large sparse matrices using double precision Fortran 77.
Solves the weighted orthogonal distance regression problem to find parameter estimates that minimize the sum of the squares of the weighted orthogonal distances between each observed data point and the curve described by a nonlinear equation. Includes...