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Numerical Methods for Nonlinear Partial Differential Equations

Inhalt

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.

Bibliografische Angaben

Oktober 2016, 393 Seiten, Springer Series in Computational Mathematics, Englisch
Springer Nature EN
978-3-319-35680-8

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Weitere Titel der Reihe: Springer Series in Computational Mathematics

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