Overview
- This book is open access, which means that you have free and unlimited access
- This monograph presents factorization algorithms for solving large sparse linear systems of equations
- It unifies the study of direct methods and algebraic preconditioners that are traditionally treated separately.
- Sparse matrix algorithm outlines complement theoretical results.
Part of the book series: Nečas Center Series (NECES)
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Table of contents (11 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This monograph is aimed at students of applied mathematics and scientific computing, as well as computational scientists and software developers who are interested in understanding the theory and algorithms needed to tackle sparse systems. It is assumed that the reader has completed a basic course in linear algebra and numerical mathematics.
Authors and Affiliations
About the authors
Miroslav Tuma is a Professor and Head of the Department of Numerical Mathematics at Charles University and was formerly a Professor at the Institute of Computer Science of the Academy of Sciences of the Czech Republic. His research has included important contributions to the development of algebraic preconditioners for iterative solvers. He was the recipient of a SIAM outstanding paper prize for his work on sparse approximate inverse preconditioners.
Bibliographic Information
Book Title: Algorithms for Sparse Linear Systems
Authors: Jennifer Scott, Miroslav Tůma
Series Title: Nečas Center Series
DOI: https://doi.org/10.1007/978-3-031-25820-6
Publisher: Birkhäuser Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2023
Softcover ISBN: 978-3-031-25819-0Published: 30 April 2023
eBook ISBN: 978-3-031-25820-6Published: 29 April 2023
Series ISSN: 2523-3343
Series E-ISSN: 2523-3351
Edition Number: 1
Number of Pages: XIX, 242
Number of Illustrations: 43 b/w illustrations, 27 illustrations in colour
Topics: Numerical Analysis, Linear Algebra, Computational Science and Engineering