Computer Solution of Large Linear Systems (ISSN Book 28) 1st Edition by Gerard Meurant (PDF)

Description

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.

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Reviews from Amazon users which were colected at the time this book was published on the website:

⭐rien à signaler ! complet sur tous les sujets ! bien qu’il puisse paraître un peu dater pour certains, la référence. un nouveau Théodore & Lascaux

⭐

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