Conjugate Gradient Algorithms and Finite Element Methods
Language: English
Published by Springer Berlin Heidelberg, 2004
- Hardcover
- New
Condition: New
£ 81.54
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Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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, .
Seller Inventory # 4885125
- Title
- Conjugate Gradient Algorithms and Finite Element Methods
- Author
- Krizek, Michal|Neittaanmäki, Pekka|Glowinski, Roland
- Publisher
- Springer Berlin Heidelberg
- Publication year
- 2004
- Condition
- New
- Binding
- Gebunden
- Language
- English
- ISBN 10
- 3540213198
- ISBN 13
- 9783540213192
- Series
- Book 12 of 36: Scientific Computation
- Seller catalogs
- Mathematik/Naturwissenschaften/Technik/Medizin
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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 differential equations and multidimensional 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.
"About the title" may belong to another edition of this title.
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