Conjugate Gradient Algorithms and Finite Element Methods

Michal Krizek, Pekka Neittaanmäki, R. Glowinski, S. Korotov - Collection Scientific computation

382 pages, parution le 22/06/2004

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Résumé

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.

Written for:
Engineers, researchers and graduate students

L'auteur - Michal Krizek

Michal Krizek is a senior researcher at the Mathematical Institute of the Academy of Sciences of the Czech Republic and Associate Professor in the Department of Mathematics and Physics at Charles University in Prague.

L'auteur - R. Glowinski

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Sommaire

Foundations
Aspects of Conjugate Gradient Algorithms
Finite Elements Meshes
Applications to the Solution of Linear and Nonlinear Partial Differential Equations
Advanced Applications: From Image Processing to Computational Physics

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Michal Krizek, Pekka Neittaanmäki, R. Glowinski, S. Korotov
Collection	Scientific computation
Parution	22/06/2004
Nb. de pages	382
Format	16 x 24
Couverture	Broché
Poids	780g
Intérieur	Noir et Blanc
EAN13	9783540213192