龙格-库塔方法
哈密顿系统
放松(心理学)
应用数学
哈密顿量(控制论)
经典力学
数学
计算机科学
物理
数学分析
微分方程
数学优化
心理学
社会心理学
作者
Wei Gu,Dongfang Li,Xiaoxi Li,Zhimin Zhang
出处
期刊:Zhongguo kexue
[Science in China Press]
日期:2023-11-06
标识
DOI:10.1360/ssm-2023-0157
摘要
Structure-preserving numerical methods have extremely important applications in long-time simulations of highly oscillatory Hamiltonian systems. In this paper, we utilize the relaxation technique and propose a family of relaxation implicit-explicit Runge-Kutta methods for solving highly oscillatory Hamiltonian systems. Contrary to the standard implicit-explicit Runge-Kutta methods, the structure-preserving properties of the proposed methods enable them to be applied to long-time simulations. Besides, the proposed methods are linearly implicit and arbitrarily high-order accurate, which can greatly improve the computational efficiency in simulations. Finally, several numerical experiments are performed to verify the theoretical results in the article.
科研通智能强力驱动
Strongly Powered by AbleSci AI