Structure-Preserving Algorithms for Oscillatory Differential Equations II
暫譯: 保結構的振盪微分方程演算法 II
Xinyuan Wu, Kai Liu, Wei Shi
- 出版商: Springer
- 出版日期: 2018-04-25
- 售價: $2,220
- 貴賓價: 9.5 折 $2,109
- 語言: 英文
- 頁數: 298
- 裝訂: Paperback
- ISBN: 3662569132
- ISBN-13: 9783662569139
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相關分類:
Algorithms-data-structures
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相關主題
商品描述
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.
商品描述(中文翻譯)
本書描述了一系列高效且有效的結構保持算法,專門針對二階振盪微分方程。這類系統在科學和工程的許多領域中都會出現,書中的範例包括量子物理、天體力學和電子學的系統。為了準確模擬這些系統的真實行為,數值算法必須儘可能保持其關鍵結構特性:時間可逆性、振盪性、辛性,以及能量和動量守恆。本書介紹了RKN方法、ERKN方法、Filon型漸近方法、AVF方法和三角傅立葉配點方法的最新進展。每種算法的準確性和效率都通過仔細的數值模擬進行測試,並且其結構保持特性通過理論分析得到嚴格確立。本書還提供了這些方法的實際實施見解。
本書適合研究振盪系統的工程師和科學家,以及對微分方程的結構保持算法感興趣的教師和學生。