Conjugate Gradient Algorithms and Finite Element Methods

Michal Krizek

ISBN 10: 3540213198 / ISBN 13: 9783540213192

Published by Springer Berlin Heidelberg Jun 2004, 2004

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -The position taken in this collection of pedagogically written essays is that conjugate gradient algorithms and finite element methods complement each other extremely well. Via their combinations practitioners have been able to solve complicated, direct and inverse, multidemensional problems modeled by ordinary or partial differential equations and inequalities, not necessarily linear, optimal control and optimal design being part of these problems.Theaim of this book is to present both methods in the context of complicated problems modeled by linear and nonlinear partial differential equations, to provide an in-depth discussion on their implementation aspects. The authors show that conjugate gradient methods and finite element methods apply to the solution of real-life problems. They address graduate students as well as experts in scientific computing. 404 pp. Englisch. Seller Inventory # 9783540213192

Bibliographic Details

Title: Conjugate Gradient Algorithms and Finite ...

Publisher: Springer Berlin Heidelberg Jun 2004

Publication Date: 2004

Binding: Buch

Condition: Neu

About this title

Synopsis:

The position taken in this collection of pedagogically written essays is that conjugate gradient algorithms and finite element methods complement each other extremely well.

Via their combinations practitioners have been able to solve complicated, direct and inverse, multidemensional problems modeled by ordinary or partial differential equations and inequalities, not necessarily linear, optimal control and optimal design being part of these problems.

The aim of this book is to present both methods in the context of complicated problems modeled by linear and nonlinear partial differential equations, to provide an in-depth discussion on their implementation aspects. The authors show that conjugate gradient methods and finite element methods apply to the solution of real-life problems. They address graduate students as well as experts in scientific computing.