Geometric numerical integration

structure-preserving algorithms for ordinary differential equations

2nd ed.
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Geometric numerical integration
Ernst Hairer
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December 20, 2023 | History

Geometric numerical integration

structure-preserving algorithms for ordinary differential equations

2nd ed.
  • 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


Edition Notes

Includes bibliographical references (p. [617]-636) and index.

Published in
Heidelberg, New York
Series
Springer series in computational mathematics -- 31

Classifications

Library of Congress
QA299.3 .H35 2010, QA297-299.4

The Physical Object

Pagination
xvii, 644 p. :
Number of pages
644

ID Numbers

Open Library
OL24394207M
ISBN 13
9783642051579
LCCN
2010922987

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Download catalog record: RDF / JSON / OPDS | Wikipedia citation
December 20, 2023 Edited by ImportBot import existing book
February 25, 2022 Edited by ImportBot import existing book
September 25, 2020 Edited by MARC Bot import existing book
January 14, 2012 Edited by Mary Murrell merge authors
October 25, 2010 Created by ImportBot Imported from Library of Congress MARC record