报告方式：腾讯会议 ID 706 291 682
线下地点：行健楼学术活动室526
邀请人：汪艳秋教授
摘要：In this talk, we will discuss a general framework for a posteriori error estimation, the primal-dual variational framework.For a class of convex minimization variational problems which has corresponding dual problems satisfying the strong duality,the primal-dual gap between the primal and dual functionals can be used as an a posteriori error estimator.
This primal-dual gap error estimator is robust with respect to the parameters of the problem, and it can be used for both mesh refinements of finite element methods and error control. We will also discuss the case that the original problem is not based on a convex minimization.