Lattice Methods for Multiple Integration

I. H. Sloan (, University of New South Wales), S. Joe (, University of Waikato)

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English

Oxford University Press
13 October 1994

Algebra; Number theory; Calculus of variations

This is the first book devoted to lattice methods, a recently developed way of calculating multiple integrals in many variables.

Multiple integrals of this kind arise in fields such as quantum physics and chemistry, statistical mechanics, Bayesian statistics and many others.

Lattice methods are an effective tool when the number of integrals are large.

The book begins with a review of existing methods before presenting lattice theory in a thorough, self-contained manner, with numerous illustrations and examples.

Group and number theory are included, but the treatment is such that no prior knowledge is needed.

Not only the theory but the practical implementation of lattice methods is covered.

An algorithm is presented alongside tables not available elsewhere, which together allow the practical evaluation of multiple integrals in many variables.

Most importantly, the algorithm produces an error estimate in avery efficent manner.

the book also provides a fast track for readers wanting to move rapidly to using methods in practical calculations.

It concludes with extensive numerical test which compare lattice methods with other methods, such as the Monte Carlo.

By: I. H. Sloan ( University of New South Wales), S. Joe (, University of Waikato)
Imprint: Oxford University Press
Country of Publication: United Kingdom
Dimensions: Height: 241mm, Width: 161mm, Spine: 20mm
Weight: 548g
ISBN: 9780198534723
ISBN 10: 0198534728
Pages: 252
Publication Date: 13 October 1994
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Reviews for Lattice Methods for Multiple Integration

`This nice book gives a thorough coverage of the numerical integration of high dimensional functions by means of lattice rules.....................I found the book very readable, and busy readers are well advised by the authors how to spend best their time with the book' Monatshefte fur Mathematik Vol. 124 1997