Abstract
Preface to the Second Edition; Preface to the First Edition; Chapter 1: Background in Linear Algebra; Chapter 2: Discretization of Partial Differential Equations; Chapter 3: Sparse Matrices; Chapter 4: Basic Iterative Methods; Chapter 5: Projection Methods; Chapter 6: Krylov Subspace Methods, Part I; Chapter 7: Krylov Subspace Methods, Part II; Chapter 8: Methods Related to the Normal Equations; Chapter 9: Preconditioned Iterations; Chapter 10: Preconditioning Techniques; Chapter 11: Parallel Implementations; Chapter 12: Parallel Preconditioners; Chapter 13: Multigrid Methods; Chapter 14: Domain Decomposition Methods; Bibliography; Index.
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CITATION STYLE
Chan, T. F. (2003). Iterative methods for sparse linear systems [Book Review]. IEEE Computational Science and Engineering, 3(4), 88–88. https://doi.org/10.1109/mcse.1996.1231631
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