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Geometric Numerical Integration - Structure-Preserving Algorithms for Ordinary Differential Equations (Hardcover, 2nd ed. 2006) Loot Price: R6,573
Discovery Miles 65 730
Geometric Numerical Integration - Structure-Preserving Algorithms for Ordinary Differential Equations (Hardcover, 2nd ed....

Geometric Numerical Integration - Structure-Preserving Algorithms for Ordinary Differential Equations (Hardcover, 2nd ed. 2006)

Ernst Hairer, Christian Lubich, Gerhard Wanner

Series: Springer Series in Computational Mathematics, 31

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Loot Price R6,573 Discovery Miles 65 730 | Repayment Terms: R616 pm x 12*

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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.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Springer Series in Computational Mathematics, 31
Release date: February 2006
First published: 2006
Authors: Ernst Hairer • Christian Lubich • Gerhard Wanner
Dimensions: 297 x 210 x 41mm (L x W x T)
Format: Hardcover
Pages: 644
Edition: 2nd ed. 2006
ISBN-13: 978-3-540-30663-4
Categories: Books > Science & Mathematics > Mathematics > Numerical analysis
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LSN: 3-540-30663-3
Barcode: 9783540306634

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