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Conjugate Gradient Algorithms and Finite Element Methods (Paperback, Softcover reprint of the original 1st ed. 2004) Loot Price: R2,905
Discovery Miles 29 050
Conjugate Gradient Algorithms and Finite Element Methods (Paperback, Softcover reprint of the original 1st ed. 2004): Michal...

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

Michal Krizek, Pekka Neittaanmaki, Roland Glowinski, Sergey Korotov

Series: Scientific Computation

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Loot Price R2,905 Discovery Miles 29 050 | Repayment Terms: R272 pm x 12*

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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.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Scientific Computation
Release date: November 2012
First published: 2004
Editors: Michal Krizek • Pekka Neittaanmaki • Roland Glowinski • Sergey Korotov
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
Categories: Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
Books > Science & Mathematics > Physics > Classical mechanics > Fluid mechanics
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-642-62159-7
Barcode: 9783642621598

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