报告题目：Efficient Numerical Methods for Transitions in Non-gradient Systems

报告人：中国科学院计算数学与科学工程计算研究所，于海军研究员

报告时间：2018年6月26日（星期二）上午 10:00-11:00

报告地点：上海师范大学（徐汇校区）3号楼三楼报告厅（332室）

报告摘要：There are two approaches to compute the transitions in noise-driven non-gradient systems. The first one is to directly solve the stochastic dynamical system, which is only suitable for systems with large noise amplitude. The second approach is to use the minimum action method based on the large deviation theory, which is suitable for system with infinitesimal noise amplitude.In this talk, we focus on the later one. The minimum action method converts the transition path calculation problem to an optimization problem or a variational problem. I will also discuss other possible ways to improve the accuracy and effectiveness of minimum action method.