This volume is based on Q series of lectures planned and
prepared by a group of invited internationally known experts
at a Meeting on the Advanced research topic 'Sparsity and its
Applications' at the University of Technology, Loughborough,
England in April 1983.
Sparse matrix research is an increasingly important subject
which plays a central role in large scale scientific computin~
The contributions enclosed deal specifically with the design,
analysis, implementation and applications of computer
algorithms in order for effective mathematical software in
Sparse Matrix Technology to be used as tools in science and
engineering. In addition, an introductory section is
included which briefly surveys the field of sparsity and
summarises the major ideas in each contribution.
Author(s): David J. Evans (Ed.)
Publisher: Cambridge University Press
Year: 1985
Language: English
Commentary: Sparse Matrix Technology
Pages: X; 338
City: Cambridge
Title Page
Table of Contents
Preface
List of Contributors
Introduction
1. Data Structures, Algorithms and Software for Sparse Matrices
2. Direct Methods for Sparse Linear Equations
3. Iterative Methods for Sparse Matrices
4. Iterative Methods for Sparse Linear Systems: Some Recent Developments
5. On the Solution of Sparse Nonlinear Equations and Some Applications
6. Solution of Sparse Eigenvalue Problems
7. Sparse Matrix Techniques for General Matrices with Real Elements; Pivotal Strategies, Decompositions and Applications in O.D.E. Software
8. Sparsity in Transportation Problems
9. Methods for Network Changes and Compensated Network Solutions
10. Algebraic Multigrid (AMG) for Sparse Matrix Equations
11. Parallelism and Sparse Linear Equations
12. Sparsity Applications in Geodesy and Photogrammetry
13. The Use of Sparse Matrix Techniques in Geodetic Network Adjustment; Photogrammetric Aerotriangulation and Generation of Digital Elevation Models using Finite Elements
