Geometric Numerical Integration

Structure-Preserving Algorithms for Ordinary Differential Equations (Springer Series in Computational Mathematics)

2nd ed. edition
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Last edited by MARC Bot
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Geometric Numerical Integration

Structure-Preserving Algorithms for Ordinary Differential Equations (Springer Series in Computational Mathematics)

2nd ed. edition
  • 0 Ratings
  • 1 Want to read
  • 0 Currently reading
  • 0 Have read

Numerical methods that preserve properties of Hamiltonian systems, reversible systems, differential equations on manifolds and problems with highly oscillatory solutions are the subject of this book. A complete self-contained theory of symplectic and symmetric methods, which include Runge-Kutta, composition, splitting, multistep and various specially designed integrators, is presented and their construction and practical merits are discussed. The long-time behaviour of the numerical solutions is studied using a backward error analysis (modified equations) combined with KAM theory. The book is illustrated by many figures, it treats applications from physics and astronomy and contains many numerical experiments and comparisons of different approaches. The second edition is substantially revised and enlarged, with many improvements in the presentation and additions concerning in particular non-canonical Hamiltonian systems, highly oscillatory mechanical systems, and the dynamics of multistep methods.

Publish Date
Publisher
Springer
Language
English
Pages
644

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Previews available in: English

Edition Availability
Cover of: Geometric numerical integration
Cover of: Geometric Numerical Integration
Cover of: Geometric Numerical Integration
Geometric Numerical Integration: Structure Preserving Algorithms for Ordinary Differential Equations
October 15, 2004, Springer
Hardcover in English - 1st ed. 2002. Corr. 2nd printing edition

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Book Details


Classifications

Library of Congress
QA299.3 .H35 2006, QA297-299.4

The Physical Object

Format
Hardcover
Number of pages
644
Dimensions
9.4 x 6.3 x 1.1 inches
Weight
2.4 pounds

ID Numbers

Open Library
OL9056139M
Internet Archive
geometricnumeric00hair
ISBN 10
3540306633
ISBN 13
9783540306634
LCCN
2005938386
OCLC/WorldCat
69223213
Library Thing
4957524
Goodreads
405114

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