Table of contents
About this book
In the second edition of this classic monograph, complete with four new chapters and updated references, readers will now have access to content describing and analysing classical and modern methods with emphasis on the algebraic structure of linear iteration, which is usually ignored in other literature.
The necessary amount of work increases dramatically with the size of systems, so one has to search for algorithms that most efficiently and accurately solve systems of, e.g., several million equations. The choice of algorithms depends on the special properties the matrices in practice have. An important class of large systems arises from the discretization of partial differential equations. In this case, the matrices are sparse (i.e., they contain mostly zeroes) and well-suited to iterative algorithms.
The first edition of this book grew out of a series of lectures given by the author at the Christian-Albrecht University of Kiel to students of mathematics. The second edition includes quite novel approaches.
Analysis Iterative Solution Methods Multigrid Method Matrices Nonlinear Equations Tensor-based Methods
- Book Title Iterative Solution of Large Sparse Systems of Equations
- Series Title Applied Mathematical Sciences
- Series Abbreviated Title Applied Mathemat. Sciences
- DOI https://doi.org/10.1007/978-3-319-28483-5
- Copyright Information Springer International Publishing Switzerland 2016
- Publisher Name Springer, Cham
- eBook Packages Mathematics and Statistics Mathematics and Statistics (R0)
- Hardcover ISBN 978-3-319-28481-1
- Softcover ISBN 978-3-319-80360-9
- eBook ISBN 978-3-319-28483-5
- Series ISSN 0066-5452
- Series E-ISSN 2196-968X
- Edition Number 2
- Number of Pages XXIII, 509
- Number of Illustrations 15 b/w illustrations, 11 illustrations in colour
Linear and Multilinear Algebras, Matrix Theory
Partial Differential Equations
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