A Type of Finite Element Gradient Recovery Method Based on Vertex-Edge-Face Interpolation: The Recovery Technique and Superconvergence Property

Authors

  • Qun Lin & Hehu Xie

DOI:

https://doi.org/10.4208/eajam.251210.250411a

Keywords:

Finite element method, least-squares fitting, vertex-edge-face interpolation, superconvergence, a posteriori error estimate.

Abstract

In this paper, a new type of gradient recovery method based on vertex-edge-face interpolation is introduced and analyzed. This method gives a new way to recover gradient approximations and has the same simplicity, efficiency, and superconvergence properties as those of superconvergence patch recovery method and polynomial preserving recovery method. Here, we introduce the recovery technique and analyze its superconvergence properties. We also show a simple application in the a posteriori error estimates. Some numerical examples illustrate the effectiveness of this recovery method.

Published

2018-02-09

Issue

Section

Articles