Fr. 117.00

Numerical Approximation of Partial Differential Equations - With online files / update

English · Hardback

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Description

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Finite element methods for approximating partial differential equations have reached a high degree of maturity, and are an indispensible tool in science and technology. This textbook aims at providing a thorough introduction to the construction, analysis, and implementation of finite element methods for model problems arising in continuum mechanics. The first part of the book discusses elementary properties of linear partial differential equations along with their basic numerical approximation, the functional-analytical framework for rigorously establishing existence of solutions, and the construction and analysis of basic finite element methods. The second part is devoted to the optimal adaptive approximation of singularities and the fast iterative solution of linear systems of equations arising from finite element discretizations. In the third part, the mathematical framework for analyzing and discretizing saddle-point problems is formulated, corresponding finte element methods are analyzed, and particular applications including incompressible elasticity, thin elastic objects, electromagnetism, and fluid mechanics are addressed. The book includes theoretical problems and practical projects for all chapters, and an introduction to the implementation of finite element methods.

List of contents

Preface.- Part I Finite differences and finite elements.- Elliptic partial differential equations.- Finite Element Method.-  Part II Local resolution and iterative solution.- Local Resolution Techniques.- Iterative Solution Methods.- Part III Constrained and singularly perturbed problems.- Saddled-point Problems.- Mixed and Nonstandard methods.- Applications.- Problems and Projects.- Implementation aspects.- Notations, inequalities, guidelines.- Index 

About the author

Sören Bartels is Professor of Applied Mathematics
at the Albert-Ludwigs University in Freiburg, Germany. His primary
research interest is in the development and analysis of approximation schemes
for nonlinear partial differential equations with applications in the
simulation of modern materials. Professor Bartels has published the Springer
textbook "Numerik 3x9" and the monograph "Numerical methods for nonlinear
partial differential equations" in the Springer Series in Computational
Mathematics.

Summary

Finite element methods for approximating partial differential equations have reached a high degree of maturity, and are an indispensible tool in science and technology. This textbook aims at providing a thorough introduction to the construction, analysis, and implementation of finite element methods for model problems arising in continuum mechanics. The first part of the book discusses elementary properties of linear partial differential equations along with their basic numerical approximation, the functional-analytical framework for rigorously establishing existence of solutions, and the construction and analysis of basic finite element methods. The second part is devoted to the optimal adaptive approximation of singularities and the fast iterative solution of linear systems of equations arising from finite element discretizations. In the third part, the mathematical framework for analyzing and discretizing saddle-point problems is formulated, corresponding finte element methods are analyzed, and particular applications including incompressible elasticity, thin elastic objects, electromagnetism, and fluid mechanics are addressed. The book includes theoretical problems and practical projects for all chapters, and an introduction to the implementation of finite element methods.

Product details

Authors Sören Bartels
Publisher Springer, Berlin
 
Languages English
Product format Hardback
Released 01.06.2016
 
EAN 9783319323534
ISBN 978-3-31-932353-4
No. of pages 535
Dimensions 155 mm x 243 mm x 34 mm
Weight 976 g
Illustrations XV, 535 p. 170 illus. With online files/update.
Series Texts in Applied Mathematics
Texts in Applied Mathematics
Subjects Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics

Analysis, B, Differentialrechnung und -gleichungen, Mathematics and Statistics, Numerical analysis, Partial Differential Equations, Differential calculus & equations

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