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Multiscale and multiresolution methods

Multiscale and multiresolution methods

by Timothy J. Barth, Tony F. Chan, Robert Haimes

Multigrid methods (Numerical analysis)Wavelets (Mathematics)CongressesFinite element methodAlgoritmen
0.0
Open Library
Open Library

About this book

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.

Themes & subjects

Multigrid methods (Numerical analysis)Wavelets (Mathematics)CongressesFinite element methodAlgoritmenWiskundige modellen

Authors

Timothy J. Barth, Tony F. Chan, Robert Haimes

Pages

408

Read time

≈ 10h

Editions

3

Language

English

Publisher

Springer

ISBN

9783642562051

Where to buy

TR
Amazon Bookshop

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