Overview
- This is the first book on modern mimetic technology
- The theoretical analysis is complemented by simple examples
- The book covers a broad range of applications
- Includes supplementary material: sn.pub/extras
Part of the book series: MS&A (MS&A, volume 11)
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Table of contents (12 chapters)
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Mimetic Discretization of Basic PDEs
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Further Developments
Keywords
About this book
Reviews
From the book reviews:
“This book of about 400 pages is clear and relatively easy to read. It shows the capabilities and the efficiency of the mimetic finite difference method in the resolution of the usual partial differential equations, from their strong formulation. Many theoretical and practical aspects are addressed in detail. It is therefore highly recommended for anyone who wants to learn and use this method.” (Arnaud Münch, Mathematical Reviews, October, 2014)
“The research monograph is a useful source for scientists and engineers interested in computational treatment for various mathematical models arising in real life. It also proves to be a valuable research monograph for graduate students in Applied Mathematics or Computational Physics.” (Marius Ghergu, zbMATH, Vol. 1286, 2014)Authors and Affiliations
About the authors
Bibliographic Information
Book Title: The Mimetic Finite Difference Method for Elliptic Problems
Authors: Lourenço Beirão Veiga, Konstantin Lipnikov, Gianmarco Manzini
Series Title: MS&A
DOI: https://doi.org/10.1007/978-3-319-02663-3
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-02662-6Published: 17 December 2013
Softcover ISBN: 978-3-319-37900-5Published: 27 August 2016
eBook ISBN: 978-3-319-02663-3Published: 22 May 2014
Series ISSN: 2037-5255
Series E-ISSN: 2037-5263
Edition Number: 1
Number of Pages: XVI, 394
Number of Illustrations: 48 b/w illustrations, 59 illustrations in colour
Topics: Computational Mathematics and Numerical Analysis, Mathematical Applications in the Physical Sciences, Partial Differential Equations, Mathematical and Computational Engineering