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Numerical Methods for Nonlinear Partial Differential Equations de Sören Bartels

Numerical Methods for Nonlinear Partial Differential Equations: Springer Series in Computational Mathematics, cartea 47

Autor Sören Bartels
en Limba Engleză Paperback – 22 oct 2016
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.
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Specificații

ISBN-13: 9783319356808
ISBN-10: 3319356801
Ilustrații: X, 393 p. 122 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.56 kg
Ediția:Softcover reprint of the original 1st ed. 2015
Editura: Springer International Publishing
Colecția Springer
Seria Springer Series in Computational Mathematics

Locul publicării:Cham, Switzerland

Cuprins

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.

Recenzii

“This book presents an ambitious overview of modern results and trends in the field of numerical methods for nonlinear PDEs, with an emphasis on the finite element method. … The target audience of the book is postgraduates and experienced researchers. … this is an excellent monograph describing methods found at the intersection of numerical PDEs and the calculus of variations.” (Michael Neilan, SIAM Review, Vol. 58 (3), September, 2016)
“This book provides advanced students and experimental researchers with an introduction to numerical methods for nonlinear partial differential equations, in particular those originating from continuum mechanics. … This book presents a very nice transition from graduate-level material to state-of-the-art research topics. … This is a nice and well-written advanced textbook.” (Karsten Urban, Mathematical Reviews, October, 2015)

Textul de pe ultima copertă

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.

Caracteristici

Provides rigorous numerical analyses for the treatment of modern applications with state-of-the-art approximation schemes Includes explanations of the mathematical modeling and analytical properties for the problems considered Simple Matlab codes allow the reader to test the numerical methods in two- and three-dimensional situations First book on the numerical analysis of nonlinear partial differential equations Includes supplementary material: sn.pub/extras