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Iterative solution of large linear systems /

Iterative Solution of Large Linear Systems.

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Bibliographic Details
Main Authors: Young, David M., 1923-2008
Corporate Authors: Elsevier Science & Technology
Published: Academic Press,
Publisher Address: New York :
Publication Dates: 1971.
Literature type: eBook
Language: English
Series: Computer science and applied mathematics
Subjects:
Equations, Simultaneous
Iterative methods Mathematics
Linear systems
E quations simultane es
Ite ration Mathe matiques > Me thodes
MATHEMATICS > Algebra > Intermediate
Iteration
Lineare Algebra
Lineares Gleichungssystem
Na herungsrechnung
Electronic books
Online Access: http://www.sciencedirect.com/science/book/9780127730509
Summary: Iterative Solution of Large Linear Systems.
Carrier Form: 1 online resource (xxiv, 570 pages) : illustrations.
Bibliography: Includes bibliographical references (pages 556-563).
ISBN: 9781483274133
1483274136
9780127730509
0127730508
Index Number: QA195
CLC: O241.6
Contents: Front Cover; Iterative Solution of Large Linear Systems; Copyright Page; Dedication; Table of Contents; Preface; Acknowledgments; Notation; List of Fundamental Matrix Properties; List of Iterative Methods; Chapter 1. Introduction; 1.1. The Model Problem; Supplementary Discussion; Exercises; Chapter 2. Matrix Preliminaries; 2.1. Review of Matrix Theory; 2.2. Hermitian Matrices and Positive Definite Matrices; 2.3. Vector Norms and Matrix Norms; 2.4. Convergence of Sequences of Vectors and Matrices; 2.5. Irreducibility and Weak Diagonal Dominance; 2.6. Property A.
2.7. L-Matrices and Related Matrices2.8. Illustrations; Supplementary Discussion; Exercises; Chapter 3. Linear Stationary Iterative Methods; 3.1. Introduction; 3.2. Consistency, Reciprocal Consistency, and Complete Consistency; 3.3. Basic Linear Stationary Iterative Methods; 3.4. Generation of Completely Consistent Methods; 3.5. General Convergence Theorems; 3.6. Alternative Convergence Conditions; 3.7. Rates of Convergence; 3.8. The Jordan Condition Number of a 2 2 Matrix; Supplementary Discussion; Exercises; Chapter 4. Convergence of the Basic Iterative Methods.
4.1. General Convergence Theorems4.2. Irreducible Matrices with Weak Diagonal Dominance; 4.3. Positive Definite Matrices; 4.4. The SOR Method with Varying Relaxation Factors; 4.5. L-Matrices and Related Matrices; 4.6. Rates of Convergence of the J and GS Methods for the Model Problem; Supplementary Discussion; Exercises; Chapter 5. Eigenvalues of the SOR Method for Consistently Ordered Matrices; 5.1. Introduction; 5.2. Block Tri-Diagonal Matrices; 5.3. Consistently Ordered Matrices and Ordering Vectors; 5.4. Property A; 5.5. Nonmigratory Permutations.
6.6. Iterative Methods of Choosing [omega]b 6.7. An Upper Bound for [mu]; 6.8. A Priori Determination of [mu]: Exact Methods; 6.9. A Priori Determination of [mu]: Approximate Values; 6.10. Numerical Results; Supplementary Discussion; Exercises; Chapter 7. Norms of the SOR Method; 7.1. The Jordan Canonical Form of L[omega]; 7.2. Basic Eigenvalue Relation; 7.3. Determination of L[omega] D; 7.4. Determination of L[omega] D; 7.5. Determination of L[omega] A; 7.6. Determination of L[omega] A; 7.7. Comparison of L[omega]mb D and L[omega]mb IIA; Supplementary Discussion; Exercises; Chapter 8. The M

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