An Adaptive Multiresolution Interior Penalty Discontinuous Galerkin Method for Wave Equations in Second Order Form

Juntao Huang, Yuan Liu, Wei Guo, Zhanjing Tao, Yingda Cheng

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

In this paper, we propose a class of adaptive multiresolution (also called adaptive sparse grid) discontinuous Galerkin (DG) methods for simulating scalar wave equations in second order form in space. The two key ingredients of the schemes include an interior penalty DG formulation in the adaptive function space and two classes of multiwavelets for achieving multiresolution. In particular, the orthonormal Alpert’s multiwavelets are used to express the DG solution in terms of a hierarchical structure, and the interpolatory multiwavelets are further introduced to enhance computational efficiency in the presence of variable wave speed or nonlinear source. Some theoretical results on stability and accuracy of the proposed method are presented. Benchmark numerical tests in 2D and 3D are provided to validate the performance of the method.

Original languageEnglish
Article number13
JournalJournal of Scientific Computing
Volume85
Issue number1
DOIs
StatePublished - Oct 1 2020

Keywords

  • Adaptivity
  • Interior penalty discontinuous Galerkin method
  • Multiresolution
  • Sparse grid
  • Wave equation

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