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Iterative Solution of Large Sparse Systems of Equations by Wolfgang Hackbusch at Abbey's Bookshop,
Iterative Solution of Large Sparse Systems of Equations
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Wolfgang Hackbusch

Iterative Solution of Large Sparse Systems of Equations

Wolfgang Hackbusch

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English
Springer International Publishing AG
31 May 2018
Number systems; Algebra; Differential calculus & equations
Series: Applied Mathematical Sciences
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.
By:  
Imprint:   Springer International Publishing AG
Country of Publication:   Switzerland
Edition:   Softcover reprint of the original 2nd ed. 2016
Volume:   95
Dimensions:   Height: 235mm,  Width: 155mm,  Spine: 27mm
Weight:   8.015kg
ISBN:   9783319803609
ISBN 10:   3319803603
Series:   Applied Mathematical Sciences
Pages:   509
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

Wolfgang Hackbusch is a Professor in the Scientific Computing department at Max Planck Institute for Mathematics in the Sciences. His research areas include numerical treatment of partial differential equations, numerical treatment of integral equations, and hierarchical matrices.

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