Title :
A Note on Symplectic Algorithm for the Equations of Dynamics
Author :
Wu, Yong ; Li, Zheng-liang
Author_Institution :
Chongqing Inst. of Technol., Chongqing
Abstract :
In this paper, we discover that the methods of direction integration are of similar shortcoming of the usual numerical methods, such as unstability, short-term action of computation, especially, the numerical damping by simulations being traced, and so on. Illustration shows that implicit direction methods are not unconditionally stable, nor of a higher precision as viewed before. The symplectic methods are stability and less quantity of computation. If the implicit direction methods try to reach the same stability of symplectic integrations, we must increase computation quantities in a smaller steplength. At last, we conclude that symplectic integrations are promising in applying to structural dynamics for forecasting.
Keywords :
differential equations; stability; direction integration; implicit direction methods; ordinary differential equations; structural dynamics; symplectic algorithm; Acceleration; Computational modeling; Cybernetics; Damping; Differential equations; Heuristic algorithms; Machine learning; Machine learning algorithms; Numerical simulation; Stability; Direction integration method; Dynamics; Symplectic integration;
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
DOI :
10.1109/ICMLC.2007.4370589