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Published **2005**
by North-Holland, Elsevier in Amsterdam, New York .

Written in English

- TECHNOLOGY & ENGINEERING,
- SCIENCE,
- Linear systems,
- Operations Research,
- System Theory

**Edition Notes**

Statement | G. Meurant |

Series | Studies in mathematics and its applications -- v. 28, Studies in mathematics and its applications -- v. 28. |

Classifications | |
---|---|

LC Classifications | QA402 .M48 2005eb |

The Physical Object | |

Format | [electronic resource] / |

Pagination | 1 online resource (xxii, 753 p.) |

Number of Pages | 753 |

ID Numbers | |

Open Library | OL27026290M |

ISBN 10 | 1435605225 |

ISBN 10 | 9781435605220 |

OCLC/WorldCa | 178928929 |

Computer solution of large linear systems Gerard Meurant. 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. This chapter discusses the selection of an iterative method that can be used in solving the large linear system Au = b (1), where A is a large sparse positive definite matrix. It also highlights the case where the system (corresponds to the finite difference solution of a self-adjoint elliptic partial differential equation. Computer Solution of Large Linear Systems. Edited by G. Meurant. Vol Pages () Download full volume. Previous volume. Book chapter Full text access 3 - Gaussian Elimination for Sparse Linear Systems Pages Download PDF; select article 4 - Fast Solvers for Separable PDEs. Computer solution of large linear systems. Amsterdam ; New York: North-Holland: Elsevier, (OCoLC) Material Type: Document, Internet resource: Document Type: Internet Resource, Computer File: All Authors / Contributors: Gérard A Meurant.

Tremendous progress has been made in the scientific and engineering disciplines regarding the use of iterative methods for linear systems. This second edition gives an in-depth, up-to-date view of practical algorithms for solving large-scale linear systems of equations, including a wide range of the best methods available today/5(9). 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. Computer Solution of Large Linear Systems Jeffrey M. Lemm, G. Meurant. 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. Ebooks list page: ; Computer Solution of Large Linear Systems; Computer Solution of Large Linear Systems; Iterative Krylov Methods for Large Linear Systems; [PDF] Iterative Solution of Large Sparse Systems of Equations (Applied Mathematical Sciences); Iterative Solution of Large Sparse Systems of Equations, .

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 ar. Mathematics and Computer Science Department, Emory University, Atlanta, Georgia E-mail: [email protected] Received Ap ; revised J This article surveys preconditioning techniques for the iterative solution of large linear systems, with a focus on algebraic methods suitable for general sparse ma-trices. provides an overview of direct methods for sparse linear systems. Several of the early conference proceedings in the s and s on sparse matrix problems and algorithms have been published in book form, including Reid (), Rose and Cited by: Aykanat C, Özgüner F, Ercal F and Sadayappan P () Iterative Algorithms for Solution of Large Sparse Systems of Linear Equations on Hypercubes, IEEE Transactions on Computers, , (), Online publication date: 1-Dec

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