Numerical Methods for Nonlinear Partial Differential Equations

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...

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Bibliographic Details
Main Author: Bartels, Sören
Format: eBook
Language:English
Published: Cham Springer International Publishing 2015, 2015
Edition:1st ed. 2015
Series:Springer Series in Computational Mathematics
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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100 1 |a Bartels, Sören 
245 0 0 |a Numerical Methods for Nonlinear Partial Differential Equations  |h Elektronische Ressource  |c by Sören Bartels 
250 |a 1st ed. 2015 
260 |a Cham  |b Springer International Publishing  |c 2015, 2015 
300 |a X, 393 p. 122 illus  |b online resource 
505 0 |a 1. Introduction -- Part I: Analytical and Numerical Foundations -- 2. Analytical Background -- 3. FEM for Linear Problems -- 4. Concepts for Discretized Problems -- Part II: Approximation of Classical Formulations -- 5. The Obstacle Problem -- 6. The Allen-Cahn Equation -- 7. Harmonic Maps -- 8. Bending Problems -- Part III: Methods for Extended Formulations -- 9. Nonconvexity and Microstructure -- 10. Free Discontinuities -- 11. Elastoplasticity -- Auxiliary Routines -- Frequently Used Notation -- Index 
653 |a Numerical Analysis 
653 |a Algorithms 
653 |a Calculus of Variations and Optimization 
653 |a Numerical analysis 
653 |a Differential Equations 
653 |a Mathematical optimization 
653 |a Calculus of variations 
653 |a Differential equations 
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989 |b Springer  |a Springer eBooks 2005- 
490 0 |a Springer Series in Computational Mathematics 
028 5 0 |a 10.1007/978-3-319-13797-1 
856 4 0 |u https://doi.org/10.1007/978-3-319-13797-1?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 518 
520 |a 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