Name: Algorithms for Sparse Linear Systems (en Inglés)
Price: 58.57 USD
Availability: InStock
Author: Scott, Jennifer ; Tůma, Miroslav
ISBN: 9783031258190

portada Algorithms for Sparse Linear Systems (en Inglés)

Algorithms for Sparse Linear Systems (en Inglés)

Formato

Libro Físico

Autor

Jennifer Scott

Miroslav Tůma

Editorial

Birkhauser

Idioma

Inglés

N° páginas

242

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 1.4 cm

Peso

0.37 kg.

ISBN13

9783031258190

Categorías

Sistemas numéricos
Álgebra
Ciencias de la computación

Algorithms for Sparse Linear Systems (en Inglés)

Jennifer Scott (Autor) · Miroslav Tůma (Autor) · Birkhauser · Tapa Blanda

Libro Nuevo Importado

Envío: 24 a 32 días háb.

$ 106.50$ 58.57

-45%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan 100 unidades

$ 58.57

Llega entre el 15 Sep y el 29 Sep a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Algorithms for Sparse Linear Systems (en Inglés)"

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.