Smoothing-based a posteriori error estimation and superconvergence

发文时间:2026-05-15

Speaker(s):李雨文 (浙江大学)

Time:2026-05-15 14:00-15:00

Venue:智华楼313

报告摘要:

This talk presents a posteriori error estimates as well as superconvergent postprocessing  for FE methods, both motivated by the smoothing passes in iterative linear solvers. We apply simple smoothers (one step of Jacobi/Gauss-Seidel sweep), on an auxiliary finer mesh to process the FE residual for a posteriori error control. For superconvergence, we use several smoothing passes for a higher-order FE linear system with the initial guess being a lower-order FE solution. The implementation is non-intrusive and is similar to a two-level iterative solver. Numerical examples include Poisson, biharmonic, Helmholtz and Maxwell equations. The material is based on joint works with Han Shui and Ludmil Zikatanov.