Overview
- This volume presents the state of the art in both classical and more modern approaches to the numerical approximation of problems presenting sharp layers
- The papers present a variety of approaches, methods, and problems, all of them related to the topic of approximating phenomena showing sharp layers
- This book presents a very diverse selection of speakers, including mathematicians and engineers. Thus, it can interest both numerical analysts and engineers interested in computational mechanics
Part of the book series: Lecture Notes in Computational Science and Engineering (LNCSE, volume 135)
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Table of contents (15 papers)
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Front Matter
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Back Matter
Keywords
About this book
This volume gathers papers presented at the international conference BAIL, which was held at the University of Strathclyde, Scotland from the 14th to the 22nd of June 2018. The conference gathered specialists in the asymptotic and numerical analysis of problems which exhibit layers and interfaces. Covering a wide range of topics and sharing a wealth of insights, the papers in this volume provide an overview of the latest research into the theory and numerical approximation of problems involving boundary and interior layers.
Editors and Affiliations
Bibliographic Information
Book Title: Boundary and Interior Layers, Computational and Asymptotic Methods BAIL 2018
Editors: Gabriel R. Barrenechea, John Mackenzie
Series Title: Lecture Notes in Computational Science and Engineering
DOI: https://doi.org/10.1007/978-3-030-41800-7
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-41799-4Published: 12 August 2020
Softcover ISBN: 978-3-030-41802-1Published: 13 August 2021
eBook ISBN: 978-3-030-41800-7Published: 11 August 2020
Series ISSN: 1439-7358
Series E-ISSN: 2197-7100
Edition Number: 1
Number of Pages: VIII, 254
Number of Illustrations: 14 b/w illustrations, 63 illustrations in colour
Topics: Numerical Analysis, Mathematical and Computational Engineering, Mathematical Methods in Physics, Partial Differential Equations