Multiscale and Multiresolution Methods - Info and Reading Options
Theory and Applications (Lecture Notes in Computational Science and Engineering)
By Timothy J. Barth, Tony F. Chan and Robert Haimes

"Multiscale and Multiresolution Methods" is published by Springer in December 6, 2001, it has 392 pages and the language of the book is English.
“Multiscale and Multiresolution Methods” Metadata:
- Title: ➤ Multiscale and Multiresolution Methods
- Authors: Timothy J. BarthTony F. ChanRobert Haimes
- Language: English
- Number of Pages: 392
- Publisher: Springer
- Publish Date: December 6, 2001
“Multiscale and Multiresolution Methods” Subjects and Themes:
- Subjects: ➤ Multigrid methods (Numerical analysis) - Wavelets (Mathematics) - Congresses - Finite element method - Algoritmen - Wiskundige modellen - Schaalvergroting - Computational intelligence - Numerical analysis - Mathematics - Computer science - Engineering - Computational Mathematics and Numerical Analysis
Edition Specifications:
- Format: Paperback
- Weight: 1.3 pounds
- Dimensions: 9.1 x 5.9 x 0.4 inches
Edition Identifiers:
- The Open Library ID: OL9057405M - OL18757791W
- Online Computer Library Center (OCLC) ID: 48256656
- Library of Congress Control Number (LCCN): 2001055003
- ISBN-13: 9783540424208
- ISBN-10: 3540424202
- All ISBNs: 3540424202 - 9783540424208
AI-generated Review of “Multiscale and Multiresolution Methods”:
Snippets and Summary:
Despite their dizzying speed, modern supercomputers are still incapable of handling many most vital scientific problems.
"Multiscale and Multiresolution Methods" Description:
The Open Library:
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.
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