PCG reference manual: A package for the iterative solution of large sparse linear systems on parallel computers. Version 1.0
- Los Alamos National Lab., NM (United States)
- Texas Univ., Austin, TX (United States)
PCG (Preconditioned Conjugate Gradient package) is a system for solving linear equations of the form Au = b, for A a given matrix and b and u vectors. PCG, employing various gradient-type iterative methods coupled with preconditioners, is designed for general linear systems, with emphasis on sparse systems such as these arising from discretization of partial differential equations arising from physical applications. It can be used to solve linear equations efficiently on parallel computer architectures. Much of the code is reusable across architectures and the package is portable across different systems; the machines that are currently supported is listed. This manual is intended to be the general-purpose reference describing all features of the package accessible to the user; suggestions are also given regarding which methods to use for a given problem.
- Research Organization:
- Texas Univ., Austin, TX (United States). Center for Numerical Analysis
- Sponsoring Organization:
- USDOE Office of Energy Research, Washington, DC (United States)
- DOE Contract Number:
- FG03-93ER25183
- OSTI ID:
- 409864
- Report Number(s):
- DOE/ER/25183-T4; CNA-274; ON: DE97000851
- Resource Relation:
- Other Information: PBD: Jan 1995
- Country of Publication:
- United States
- Language:
- English
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