| Literature DB >> 25328255 |
Sou-Cheng T Choi1, Michael A Saunders2.
Abstract
We describe algorithm MINRES-QLP and its FORTRAN 90 implementation for solving symmetric or Hermitian linear systems or least-squares problems. If the system is singular, MINRES-QLP computes the unique minimum-length solution (also known as the pseudoinverse solution), which generally eludes MINRES. In all cases, it overcomes a potential instability in the original MINRES algorithm. A positive-definite pre-conditioner may be supplied. Our FORTRAN 90 implementation illustrates a design pattern that allows users to make problem data known to the solver but hidden and secure from other program units. In particular, we circumvent the need for reverse communication. Example test programs input and solve real or complex problems specified in Matrix Market format. While we focus here on a FORTRAN 90 implementation, we also provide and maintain MATLAB versions of MINRES and MINRES-QLP.Entities:
Keywords: Algorithms; Krylov subspace method; Lanczos process; conjugate-gradient method; data encapsulation; ill-posed problem; linear equations; minimum-residual method; pseudoinverse solution; regression; singular least-squares; sparse matrix
Year: 2014 PMID: 25328255 PMCID: PMC4199394 DOI: 10.1145/2527267
Source DB: PubMed Journal: ACM Trans Math Softw ISSN: 0098-3500 Impact factor: 1.704