Structure-Preserving Algorithms for Oscillatory Differential Equations II

Nonfiction, Science & Nature, Science, Physics, Mathematical Physics, Mathematics, Applied, Technology
Cover of the book Structure-Preserving Algorithms for Oscillatory Differential Equations II by Xinyuan Wu, Kai Liu, Wei Shi, Springer Berlin Heidelberg
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Author: Xinyuan Wu, Kai Liu, Wei Shi ISBN: 9783662481561
Publisher: Springer Berlin Heidelberg Publication: March 3, 2016
Imprint: Springer Language: English
Author: Xinyuan Wu, Kai Liu, Wei Shi
ISBN: 9783662481561
Publisher: Springer Berlin Heidelberg
Publication: March 3, 2016
Imprint: Springer
Language: English

This book describes a variety of highly effective and efficient structure-preserving algorithms for second-order oscillatory differential equations. Such systems arise in many branches of science and engineering, and the examples in the book include systems from quantum physics, celestial mechanics and electronics. To accurately simulate the true behavior of such systems, a numerical algorithm must preserve as much as possible their key structural properties: time-reversibility, oscillation, symplecticity, and energy and momentum conservation. The book describes novel advances in RKN methods, ERKN methods, Filon-type asymptotic methods, AVF methods, and trigonometric Fourier collocation methods.  The accuracy and efficiency of each of these algorithms are tested via careful numerical simulations, and their structure-preserving properties are rigorously established by theoretical analysis. The book also gives insights into the practical implementation of the methods.

This book is intended for engineers and scientists investigating oscillatory systems, as well as for teachers and students who are interested in structure-preserving algorithms for differential equations.

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This book describes a variety of highly effective and efficient structure-preserving algorithms for second-order oscillatory differential equations. Such systems arise in many branches of science and engineering, and the examples in the book include systems from quantum physics, celestial mechanics and electronics. To accurately simulate the true behavior of such systems, a numerical algorithm must preserve as much as possible their key structural properties: time-reversibility, oscillation, symplecticity, and energy and momentum conservation. The book describes novel advances in RKN methods, ERKN methods, Filon-type asymptotic methods, AVF methods, and trigonometric Fourier collocation methods.  The accuracy and efficiency of each of these algorithms are tested via careful numerical simulations, and their structure-preserving properties are rigorously established by theoretical analysis. The book also gives insights into the practical implementation of the methods.

This book is intended for engineers and scientists investigating oscillatory systems, as well as for teachers and students who are interested in structure-preserving algorithms for differential equations.

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