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Numerical Approximation of Partial Differential Equations

✍ Scribed by Sâren Bartels (auth.)


Publisher
Springer International Publishing
Year
2016
Tongue
English
Leaves
541
Series
Texts in Applied Mathematics 64
Edition
1
Category
Library

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✦ Synopsis


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.

✦ Table of Contents


Front Matter....Pages i-xv
Front Matter....Pages 1-1
Finite Difference Method....Pages 3-64
Elliptic Partial Differential Equations....Pages 65-97
Finite Element Method....Pages 99-152
Front Matter....Pages 153-153
Local Resolution Techniques....Pages 155-207
Iterative Solution Methods....Pages 209-244
Front Matter....Pages 245-245
Saddle-Point Problems....Pages 247-281
Mixed and Nonstandard Methods....Pages 283-347
Applications....Pages 349-404
Back Matter....Pages 405-535

✦ Subjects


Numerical Analysis; Partial Differential Equations


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