| Title:
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COMPUTER SOLUTION OF LARGE LINEAR SYSTEMS
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| Volume: |
Volume 28 |
| By: |
Gerard Meurant |
| Format: |
Hardback |
| List price:
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£102.50 |
| Our price: |
£102.50 |
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| ISBN 10: |
044450169X |
| ISBN 13: |
9780444501691 |
| Availability: |
This item will be printed on demand and will usually be dispatched within 10 days.
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| Stock: |
Currently 0 available |
| Publisher: |
ELSEVIER SCIENCE & TECHNOLOGY |
| Pub. date: |
16 June, 1999 |
| Series: |
Studies in Mathematics & Its Applications |
| Pages: |
776 |
| Description: |
A guide to numerical methods for solving large sparse linear systems of equations, in particular those arising from the discretization of partial differential equations. This text covers both direct and iterative methods, including Gaussian elimination and alternating directions algorithms. |
| Synopsis: |
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. |
| Publication: |
US |
| Imprint: |
North-Holland |
| Returns: |
Non-returnable |