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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.
"synopsis" may belong to another edition of this title.
- PublisherSpringer
- Publication date2012
- ISBN 10 3642621597
- ISBN 13 9783642621598
- BindingPaperback
- LanguageEnglish
- Number of pages399
- EditorKrizek Michal, Neittaanmäki Pekka, Glowinski Roland, Korotov Sergey
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Conjugate Gradient Algorithms and Finite Element Methods (Scientific Computation)
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Conjugate Gradient Algorithms and Finite Element Methods
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ISBN 10: 3642621597
ISBN 13: 9783642621598
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Taschenbuch. Condition: Neu. 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 # 9783642621598
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Conjugate Gradient Algorithms and Finite Element Methods (Scientific Computation)
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Conjugate Gradient Algorithms and Finite Element Methods
Published by
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ISBN 10: 3642621597
ISBN 13: 9783642621598
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9783642621598
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Conjugate Gradient Algorithms and Finite Element Methods
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ISBN 10: 3642621597
ISBN 13: 9783642621598
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Condition: New. 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 # 5064579
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Conjugate Gradient Algorithms and Finite Element Methods (Scientific Computation)
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