Computer Solution of Large Linear Systems, Volume 28 (Hardcover)

Hardbound. This book deals with numerical methods for solving large sparse linear systems of equations, particularly those arising from the discretization of partial differential equations. It covers both direct and iterative methods. Direct methods which are considered are variants of Gaussian elimination and fast solvers for separable partial differential equations in rectangular domains. The book reviews the classical iterative methods like Jacobi, Gauss-Seidel and alternating directions algorithms. A particular emphasis is put on the conjugate gradient as well as conjugate gradient -like methods for non symmetric problems. Most efficient preconditioners used to speed up convergence are studied. A chapter is devoted to the multigrid method and the book ends with domain decomposition algorithms that are well suited for solving linear systems on parallel computers.

General

Imprint:	North-Holland
Country of origin:	United States
Series:	Studies in Mathematics & Its Applications
Release date:	June 1999
First published:	1999
Authors:	Gerard Meurant
Dimensions:	229 x 152 x 44mm (L x W x T)
Format:	Hardcover
Pages:	776
ISBN-13:	978-0-444-50169-1
Categories:	Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Science & Mathematics > Mathematics > Algebra > General Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Differential equations Books > Academic & Education > Professional & Technical > Mathematics Promotions
LSN:	0-444-50169-X
Barcode:	9780444501691

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