Authors:
- Matlab implementations illustrate the devised methods
- Problems, projects, and quizzes allow for self-evaluation
- Includes theoretical and physical backgrounds of mathematical models
Part of the book series: Texts in Applied Mathematics (TAM, volume 64)
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Table of contents (8 chapters)
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Front Matter
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Finite Differences and Finite Elements
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Front Matter
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Local Resolution and Iterative Solution
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Front Matter
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Constrained and Singularly Perturbed Problems
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Front Matter
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Back Matter
About this book
Authors and Affiliations
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Angewandte Mathematik, Albert-Ludwigs-Universitaet, Freiburg, Germany
Sören Bartels
About the author
Sören Bartels is Professor of Applied Mathematics at the Albert-Ludwigs University in Freiburg, Germany. His primary research interest is in the development and analysis of approximation schemes for nonlinear partial differential equations with applications in the simulation of modern materials. Professor Bartels has published the Springer textbook "Numerik 3x9" and the monograph "Numerical methods for nonlinear partial differential equations" in the Springer Series in Computational Mathematics.
Bibliographic Information
Book Title: Numerical Approximation of Partial Differential Equations
Authors: Sören Bartels
Series Title: Texts in Applied Mathematics
DOI: https://doi.org/10.1007/978-3-319-32354-1
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-32353-4Published: 09 June 2016
Softcover ISBN: 978-3-319-81265-6Published: 30 May 2018
eBook ISBN: 978-3-319-32354-1Published: 02 June 2016
Series ISSN: 0939-2475
Series E-ISSN: 2196-9949
Edition Number: 1
Number of Pages: XV, 535
Number of Illustrations: 170 b/w illustrations