PofoliaShared via Pofolia

· 2017· Book chapter

Direct Methods for Sparse Matrices

Iain Duff, A. M. Erisman, J. K. Reid

Short summary

This book is a comprehensive rewrite of direct methods for solving large sparse linear systems, integrating 30 years of research on new algorithms, scaling techniques, error control, and combinatorial methods for partitioning, with a focus on parallel architectures and indefinite/unsymmetric systems.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Covers direct methods for sparse matrices, updated for problems over 1 million variables.
  • Integrates new research on scaling, error control, and ordering techniques.
  • Details combinatorial methods for partitioning symmetric and unsymmetric problems.
  • Explains the multifrontal approach and techniques for parallel architectures.
  • Includes new work for indefinite and unsymmetric systems.

AI-generated from the title and abstract; the full text is not read.

Abstract

Abstract Direct Methods for Sparse Matrices, second edition, is a complete rewrite of the first edition published 30 years ago. Much has changed since that time. Problems have grown greatly in size and complexity; nearly all our examples were of order less than 5,000 in the first edition, and are often more than a million in the second edition. Computer architectures are now much more complex, requiring new ways of adapting algorithms to parallel environments with memory hierarchies. Because the area is such an important one to all of computational science and engineering, a huge amount of research has been done since the first edition, some of it by the authors. This new research is integrated into the text with a clear explanation of the underlying mathematics and algorithms. New research that is described includes new techniques for scaling and error control, new orderings, new combinatorial techniques for partitioning both symmetric and unsymmetric problems, and a detailed description of the multifrontal approach to solving systems that was pioneered by the research of the authors and colleagues. This includes a discussion of techniques for exploiting parallel architectures and new work for indefinite and unsymmetric systems.

The authors' abstract, as published at the source., 2017 · DOI ↗

TakeawaysPremium
Ask the paperFree account

Continue with a free account

Ask the paper: 3 free questions a day about this paper; save it, get its citation, new summaries every day for your field. Takeaways are Premium.

Continue free on the web

Sign in with Google or Apple; no card needed. You come back to this paper.

On your phone:

Field: Computational Theory and Mathematics

Computational Theory and MathematicsComputer Science