Item description for An Introduction to Multigrid Methods by Pieter Wesseling...
Inspired by a series of lectures given in Delft, Bristol, Lyons, Zurich, and Beijing, this book is a corrected reprint of the 1992 classic. Provides a complete introduction to multigrid methods for partial differential equations, without requiring an advanced knowledge of mathematics. Topics such as the basic multigrid principle, smoothing methods and their Fourier analysis, course grid approximation, multigrid cycles and results of multigrid theory are treated. Applications in computational fluid dynamics are discussed extensively.
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Est. Packaging Dimensions: Length: 1" Width: 6.25" Height: 9" Weight: 1.26 lbs.
Release Date Jan 1, 2004
Publisher R.T. Edwards, Inc.
ISBN 1930217080 ISBN13 9781930217089
Reviews - What do customers think about An Introduction to Multigrid Methods?
A Reprint of a Classic Sep 4, 2004
This is a corrected version of one of the real classics in the multigrid field. Its first publisher allowed the price to skyrocket to the point that it still stands today as the most expensive multigrid book I own. The reprint is over $100 USD less than what I paid for my copy.
The book is completely self contained. It has one of nicest descriptions of finite volume methods in it that I know of. It covers all of the basic multigrid concepts in detail, both algorithmically and theoretically. It covers a lot more than basics as well.
While it was between regular publishers the author gratiously allowed a scanned copy to be downloaded from the multigrid community web site http://www.mgnet.org. It was one of the most downloaded items while it was there. (As an aside, it is no longer available on the web.)
While not the most recent multigrid book, it still is one of the best. The price, considering it is a hardback, is also very competitive.
I highly recommend this book, particularly for students who have not studied in depth numerical methods for solving partial differential equation.
Free on (...) Dec 11, 2001
It's a very good book to begin in MG, with analysis made in an accessible way to someone acquainted with von Neuman method and common matrix analysis. (...)