Name: Iterative Methods for Linear Systems. Theory and Applications (en Inglés)
SKU: 67196186
Price: 136.68 USD
Availability: InStock
Author: Maxim A. Olshanskii;Eugene E. Tyrtyshnikov
ISBN: 9781611973457

portada Iterative Methods for Linear Systems. Theory and Applications (en Inglés)

Iterative Methods for Linear Systems. Theory and Applications (en Inglés)

Formato

Libro Físico

Editorial

SIAM - Society for Industrial and Applied Mathematics

Autor

Maxim A. Olshanskii;Eugene E. Tyrtyshnikov

Año

2014

Idioma

Inglés

N° páginas

263

Encuadernación

Tapa Blanda

Dimensiones

22.9x15.2 cm

ISBN13

9781611973457

Iterative Methods for Linear Systems. Theory and Applications (en Inglés)

Maxim A. Olshanskii;Eugene E. Tyrtyshnikov (Autor) · SIAM - Society for Industrial and Applied Mathematics · Tapa Blanda

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Reseña del libro "Iterative Methods for Linear Systems. Theory and Applications (en Inglés)"

Offers a mathematically-rigorous introduction to fundamental iterative methods for systems of linear algebraic equations. This book provides a straightforward yet comprehensive analysis of the Krylov subspace methods, approaching the development and analysis of algorithms from various algorithmic and mathematical perspectives.

Iterative Methods for Linear Systems offers a mathematically rigorous introduction to fundamental iterative methods for systems of linear algebraic equations. The book distinguishes itself from other texts on the topic by providing a straightforward yet comprehensive analysis of the Krylov subspace methods, approaching the development and analysis of algorithms from various algorithmic and mathematical perspectives, and going beyond the standard description of iterative methods by connecting them in a natural way to the idea of preconditioning.

Audience: The book supplements standard texts on numerical mathematics for first-year graduate and advanced undergraduate courses and is suitable for advanced graduate classes covering numerical linear algebra and Krylov subspace and multigrid iterative methods. It will be useful to researchers interested in numerical linear algebra and engineers who use iterative methods for solving large algebraic systems.