- 468 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Sparse Matrix Computations
About this book
Sparse Matrix Computations is a collection of papers presented at the 1975 Symposium by the same title, held at Argonne National Laboratory. This book is composed of six parts encompassing 27 chapters that contain contributions in several areas of matrix computations and some of the most potential research in numerical linear algebra. The papers are organized into general categories that deal, respectively, with sparse elimination, sparse eigenvalue calculations, optimization, mathematical software for sparse matrix computations, partial differential equations, and applications involving sparse matrix technology. This text presents research on applied numerical analysis but with considerable influence from computer science. In particular, most of the papers deal with the design, analysis, implementation, and application of computer algorithms. Such an emphasis includes the establishment of space and time complexity bounds and to understand the algorithms and the computing environment. This book will prove useful to mathematicians and computer scientists.
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Table of contents
- Front Cover
- Sparse Matrix Computations
- Copyright Page
- Table of Contents
- Contributors
- Preface
- Part I: Design and Analysis of Elimination Algorithms
- Part II: Eigenvalue Problems
- Part III: Optimization, Least Squares, and Linear Programming
- Part lV: Mathematical Software
- Part V: Matrix Methods for Partial Difference Equations
- Part VI: Applications
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Yes, you can access Sparse Matrix Computations by James R. Bunch,Donald J. Rose in PDF and/or ePUB format, as well as other popular books in Mathematics & Algebra. We have over one million books available in our catalogue for you to explore.