Matrix-Based Multigrid: Theory and Applications

Author:   Yair Shapira
Publisher:   Springer-Verlag New York Inc.
Edition:   2nd ed. 2008
Volume:   2
ISBN:  

9780387497648


Pages:   318
Publication Date:   02 July 2008
Format:   Hardback
Availability:   In Print   Availability explained
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Matrix-Based Multigrid: Theory and Applications


Overview

Matrix-Based Multigrid introduces and analyzes the multigrid approach for the numerical solution of large sparse linear systems arising from the discretization of elliptic partial differential equations. Special attention is given to the powerful matrix-based-multigrid approach, which is particularly useful for problems with variable coefficients and nonsymmetric and indefinite problems. This book can be used as a textbook in courses in numerical analysis, numerical linear algebra, and numerical PDEs at the advanced undergraduate and graduate levels in computer science, math, and applied math departments. The theory is written in simple algebraic terms and therefore requires preliminary knowledge only in basic linear algebra and calculus.

Full Product Details

Author:   Yair Shapira
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   2nd ed. 2008
Volume:   2
Dimensions:   Width: 15.50cm , Height: 2.00cm , Length: 23.50cm
Weight:   1.450kg
ISBN:  

9780387497648


ISBN 10:   0387497641
Pages:   318
Publication Date:   02 July 2008
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Concepts and Preliminaries.- The Multilevel-Multiscale Approach.- Preliminaries.- Partial Differential Equations and Their Discretization.- Finite Differences and Volumes.- Finite Elements.- The Numerical Solution of Large Sparse Linear Systems of Algebraic Equations.- Iterative Linear System Solvers.- The Multigrid Iteration.- Matrix-Based Multigrid for Structured Grids.- The Automatic Multigrid Method.- Applications in Image Processing.- The Black-Box Multigrid Method.- The Indefinite Helmholtz Equation.- Matrix-Based Semicoarsening Method.- Matrix-Based Multigrid for Semistructured Grids.- Matrix-Based Multigrid for Locally Refined Meshes.- Application to Semistructured Grids.- Matrix-Based Multigrid for Unstructured Grids.- The Domain-Decomposition Multigrid Method.- The Algebraic Multilevel Method.- Applications.- Semialgebraic Multilevel Method for Systems of Partial Differential Equations.- Appendices.- Time-Dependent Parabolic PDEs.- Nonlinear Equations.

Reviews

From the reviews of the second edition: Shapira delivers a systematic and unified presentation of the multigrid method that is used for the efficient solution of partial differential equations. ... The notations are consistent and the presentation is self-contained. The book is recommended to readers involved in the field of computational science and engineering, from the postgraduate to the expert level. Additionally, the book is suitable for courses in numerical analysis, numerical linear algebra, scientific computing, and numerical solution of partial differential equations. (George A. Gravvanis, ACM Computing Reviews, May, 2009) This book provides an introduction into this area. Basically, it presupposes only a sound knowledge of analysis and linear algebra and introduces all other necessary concepts on its own. ... Many exercises are included. The presentation is well suited for seminars in this area. (H. Muthsam, Monatshefte fur Mathematik, Vol. 156 (3), March, 2009)


From the reviews of the second edition: Shapira delivers a systematic and unified presentation of the multigrid method that is used for the efficient solution of partial differential equations. ! The notations are consistent and the presentation is self-contained. The book is recommended to readers involved in the field of computational science and engineering, from the postgraduate to the expert level. Additionally, the book is suitable for courses in numerical analysis, numerical linear algebra, scientific computing, and numerical solution of partial differential equations. (George A. Gravvanis, ACM Computing Reviews, May, 2009)


"From the reviews of the second edition: ""Shapira delivers a systematic and unified presentation of the multigrid method that is used for the efficient solution of partial differential equations. … The notations are consistent and the presentation is self-contained. The book is recommended to readers involved in the field of computational science and engineering, from the postgraduate to the expert level. Additionally, the book is suitable for courses in numerical analysis, numerical linear algebra, scientific computing, and numerical solution of partial differential equations."" (George A. Gravvanis, ACM Computing Reviews, May, 2009) “This book provides an introduction into this area. Basically, it presupposes only a sound knowledge of analysis and linear algebra and introduces all other necessary concepts on its own. … Many exercises are included. The presentation is well suited for seminars in this area.” (H. Muthsam, Monatshefte für Mathematik, Vol. 156 (3), March, 2009)"


From the reviews of the second edition: Shapira delivers a systematic and unified presentation of the multigrid method that is used for the efficient solution of partial differential equations. ... The notations are consistent and the presentation is self-contained. The book is recommended to readers involved in the field of computational science and engineering, from the postgraduate to the expert level. Additionally, the book is suitable for courses in numerical analysis, numerical linear algebra, scientific computing, and numerical solution of partial differential equations. (George A. Gravvanis, ACM Computing Reviews, May, 2009) This book provides an introduction into this area. Basically, it presupposes only a sound knowledge of analysis and linear algebra and introduces all other necessary concepts on its own. ... Many exercises are included. The presentation is well suited for seminars in this area. (H. Muthsam, Monatshefte fur Mathematik, Vol. 156 (3), March, 2009)


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