Mesh Optimization via Error Sampling and Synthesis: An Update

摘要

The Mesh Optimization via Error Sampling and Synthesis (MOESS) algorithm is a method for controlling a local error indicator through anistropic mesh adaptation. The core principle of MOESS is the construction of local error models via a local sampling process which are then optimized to produce a mesh metric and, in combination with a metric-based mesher, a new mesh. The original application of the MOESS method was with discontinuous finite element discretizations. The aim of this paper is to summarize: (1) the extension of the method to continuous finite element discretizations and (2) various robustness improvements.