Optimal Preconditioners of a Given Sparsity Pattern (Classic Reprint) - Hardcover

Anne Greenbaum

 
9780656168118: Optimal Preconditioners of a Given Sparsity Pattern (Classic Reprint)

Synopsis

Unlock faster solves for large systems with smart preconditioning.

This book shows how to choose and design preconditioners that make iterative methods converge quickly on sparse problems. It explains how, by focusing on the spectrum and condition number, you can improve performance in practical, real‑world computations.

  • Learn why certain sparsity patterns respond best to specific preconditioners
  • See how diagonal, block diagonal, and Laplacian‑type approaches compare in theory and practice
  • Explore optimization techniques that identify the most effective matrices within a fixed sparsity pattern
  • Understand how these ideas apply to Chebyshev methods, conjugate gradient, and related algorithms
Ideal for readers who want a solid, applicable guide to improving solver efficiency in numerical linear algebra.

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