Many computionally challenging problems omnipresent in science and engineering exhibit multiscale phenomena so that the task of computing or even representing all scales of action is computationally very expensive unless the multiscale nature of these problems is exploited in a fundamental way. Some diverse examples of practical interest include the computation of fluid turbulence, structural analysis of composite materials, terabyte data mining, image processing, and a multitude of others.
This book consists of both invited and contributed articles which address many facets of efficient multiscale representation and scientific computation from varied viewpoints such as hierarchical data representations, multilevel algorithms, algebraic homogeni- zation, and others. This book should be of particular interest to readers interested in recent and emerging trends in multiscale and multiresolution computation with application to a wide range of practical problems.
| ISBN: | 9783540424208 |
| Publication date: | 20th November 2001 |
| Author: | Timothy J Barth, Tony Chan, Robert Haimes |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Paperback |
| Pagination: | 394 pages |
| Series: | Lecture Notes in Computational Science and Engineering |
| Genres: |
Calculus and mathematical analysis Numerical analysis Artificial intelligence |
Many computionally challenging problems omnipresent in science and engineering exhibit multiscale phenomena so that the task of computing or even representing all scales of action is computationally very expensive unless the multiscale nature of these problems is exploited in a fundamental way. Some diverse examples of practical interest include the computation of fluid turbulence, structural analysis of composite materials, terabyte data mining, image processing, and a multitude of others.
Multiscale and Multiresolution Methods features in the following genres: Calculus and mathematical analysis, Numerical analysis, Artificial intelligence
Paperback. Not Available.
Multiscale and Multiresolution Methods was written by Timothy J Barth, Tony Chan, Robert Haimes and published by Springer an imprint of Springer Berlin Heidelberg
Multiscale and Multiresolution Methods has 394 pages
Yes it is part of Lecture Notes in Computational Science and Engineering series