Conjugate Gradient Algorithms and Finite Element Methods (Paperback, Softcover reprint of the original 1st ed. 2004)


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.


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Product Description

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.

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Product Details

General

Imprint

Springer-Verlag

Country of origin

Germany

Series

Scientific Computation

Release date

November 2012

Availability

Expected to ship within 10 - 15 working days

First published

2004

Editors

, , ,

Dimensions

235 x 155 x 21mm (L x W x T)

Format

Paperback

Pages

384

Edition

Softcover reprint of the original 1st ed. 2004

ISBN-13

978-3-642-62159-8

Barcode

9783642621598

Categories

LSN

3-642-62159-7



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