Conjugate Gradient Algorithms and Finite Element Methods Softcover Repri Edition Contributor(s): Krizek, Michal (Editor), Neittaanmäki, Pekka (Editor), Glowinski, Roland (Editor) |
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ISBN: 3642621597 ISBN-13: 9783642621598 Publisher: Springer
Binding Type: Paperback - See All Available Formats & Editions Published: November 2012 Click for more in this series: Scientific Computation |
Additional Information |
BISAC Categories: - Science | Physics - Mathematical & Computational - Computers | Computer Science - Science | Mechanics - Fluids |
Dewey: 004 |
Series: Scientific Computation |
Physical Information: 0.83" H x 6.14" W x 9.21" L (1.24 lbs) 384 pages |
Descriptions, Reviews, Etc. |
Publisher 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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