Iterative Methods for Sparse Linear Systems
Iterative Methods for Sparse Linear Systems Yousef Saad 6. 15 12. 4 9 5. 11 14 8. 2 10 3. 13 7. 1. Copyright c 2000 by Yousef Saad. S ECOND EDITION WITH CORRECTIONS . JANUARY 3 RD , 2000. . PREFACE xiii Acknowledgments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xiv Suggestions for Teaching . . . . . . . . . . . . . . . . . . . . . . . . . xv 1 BACKGROUND IN Linear ALGEBRA 1. Matrices . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1. Square Matrices and Eigenvalues . . . . . . . . . . . . . . . . . . . . . 3. Types of Matrices . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4. Vector Inner Products and Norms . . . . . . . . . . . . . . . . . . . . . 6. Matrix Norms.
Iterative methods for solving general, large sparse linear systems have been gaining popularity in many areas of scientific computing. Until recently, direct solution methods were often preferred to iterative methods in real applications because of their robustness and predictable behavior.
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