Numerical Methods for Nonlinear Partial Differential Equations

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The description of many interesting phenomena in science and engineering leads to infinite-dimensional minimization or evolution problems that define nonlinear partial differential equations. While the development and analysis of numerical methods for linear partial differential equations is nearly complete, only few results are available in the case of nonlinear equations. This monograph devises numerical methods for nonlinear model problems arising in the mathematical description of phase transitions, large bending problems, image processing, and inelastic material behavior. For each of these problems the underlying mathematical model is discussed, the essential analytical properties are explained, and the proposed numerical method is rigorously analyzed. The practicality of the algorithms is illustrated by means of short implementations.

Author(s): Sören Bartels (auth.)
Series: Springer Series in Computational Mathematics 47
Edition: 1
Publisher: Springer International Publishing
Year: 2015

Language: English
Pages: 393
Tags: Numerical Analysis; Partial Differential Equations; Algorithms; Calculus of Variations and Optimal Control; Optimization

Front Matter....Pages i-x
Introduction....Pages 1-8
Front Matter....Pages 9-9
Analytical Background....Pages 11-44
FEM for Linear Problems....Pages 45-84
Concepts for Discretized Problems....Pages 85-123
Front Matter....Pages 125-125
The Obstacle Problem....Pages 127-152
The Allen–Cahn Equation....Pages 153-182
Harmonic Maps....Pages 183-215
Bending Problems....Pages 217-257
Front Matter....Pages 259-259
Nonconvexity and Microstructure....Pages 261-295
Free Discontinuities....Pages 297-332
Elastoplasticity....Pages 333-363
Back Matter....Pages 365-393