Algorithms for Sparse Linear Systems

Name: Algorithms for Sparse Linear Systems
Brand: Springer Nature B.V.
SKU: 9783031258213
Price: 1270 CZK
Availability: InStock

Autor: Scott Jennifer Scott, Tuma Miroslav Tuma

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer Nature B.V.

Dostupnost: Skladem u dodavatele

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1 270 Kč

Large sparse linear systems of equations are ubiquitous in science, engineering and beyond. This ope...

Informace o knize

Autor

Scott Jennifer Scott, Tuma Miroslav Tuma

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2023

Stránek

264

EAN

9783031258213

Enbook ID

43417915

Vydavatel

Springer Nature B.V.

Hmotnost

376

Rozměry

156 x 234

Kompletní popis

Large sparse linear systems of equations are ubiquitous in science, engineering and beyond. This open access monograph focuses on factorization algorithms for solving such systems. It presents classical techniques for complete factorizations that are used in sparse direct methods and discusses the computation of approximate direct and inverse factorizations that are key to constructing general-purpose algebraic preconditioners for iterative solvers. A unified framework is used that emphasizes the underlying sparsity structures and highlights the importance of understanding sparse direct methods when developing algebraic preconditioners. Theoretical results are complemented by sparse matrix algorithm outlines.

This monograph is aimed at students of applied mathematics and scientific computing, as well as computational scientists and software developers who are interested in understanding the theory and algorithms needed to tackle sparse systems. It is assumed that the reader has completed a basic course in linear algebra and numerical mathematics.

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