Skip to main content

Save up to 30% on Elsevier print and eBooks with free shipping. No promo code needed.

Save up to 30% on print and eBooks.

Computer Solution of Large Linear Systems

  • 1st Edition, Volume 28 - June 16, 1999
  • Author: Gerard Meurant
  • Language: English
  • Hardback ISBN:
    9 7 8 - 0 - 4 4 4 - 5 0 1 6 9 - 1
  • eBook ISBN:
    9 7 8 - 0 - 0 8 - 0 5 2 9 5 1 - 6

This book deals with numerical methods for solving large sparse linear systems of equations, particularly those arising from the discretization of partial differential eq… Read more

Computer Solution of Large Linear Systems

Purchase options

LIMITED OFFER

Save 50% on book bundles

Immediately download your ebook while waiting for your print delivery. No promo code is needed.

Institutional subscription on ScienceDirect

Request a sales quote

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.