Overview
- Multiscale Methods is one of the most active areas in computational science.
- This book is a multi-disciplinary textbook on these methods. Complements nicely the previous volume on Multiscale Methods, LNCSE 44.
Part of the book series: Lecture Notes in Computational Science and Engineering (LNCSE, volume 83)
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Table of contents (10 chapters)
Keywords
About this book
The 91st London Mathematical Society Durham Symposium took place from July 5th to 15th 2010, with more than 100 international participants attending. The Symposium focused on Numerical Analysis of Multiscale Problems and this book contains 10 invited articles from some of the meeting's key speakers, covering a range of topics of contemporary interest in this area. Articles cover the analysis of forward and inverse PDE problems in heterogeneous media, high-frequency wave propagation, atomistic-continuum modeling and high-dimensional problems arising in modeling uncertainty. Novel upscaling and preconditioning techniques, as well as applications to turbulent multi-phase flow, and to problems of current interest in materials science are all addressed. As such this book presents the current state-of-the-art in the numerical analysis of multiscale problems and will be of interest to both practitioners and mathematicians working in those fields.
Editors and Affiliations
About the editors
Bibliographic Information
Book Title: Numerical Analysis of Multiscale Problems
Editors: Ivan G. Graham, Thomas Y. Hou, Omar Lakkis, Robert Scheichl
Series Title: Lecture Notes in Computational Science and Engineering
DOI: https://doi.org/10.1007/978-3-642-22061-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2012
Hardcover ISBN: 978-3-642-22060-9Published: 06 January 2012
Softcover ISBN: 978-3-642-43124-1Published: 22 February 2014
eBook ISBN: 978-3-642-22061-6Published: 05 January 2012
Series ISSN: 1439-7358
Series E-ISSN: 2197-7100
Edition Number: 1
Number of Pages: X, 374
Topics: Computational Mathematics and Numerical Analysis, Computational Science and Engineering, Mathematical and Computational Engineering, Numerical and Computational Physics, Simulation