A New Ensemble HDG Method for Parameterized Convection Diffusion PDEs
Gang Chen, Liangya Pi, Yangwen Zhang

TL;DR
This paper introduces a second order ensemble HDG method for parameterized convection diffusion PDEs, achieving superconvergence without postprocessing, applicable to general polyhedral meshes and time-dependent coefficients.
Contribution
It develops a second order ensemble HDG method that works on arbitrary polyhedral meshes with time-dependent coefficients, improving convergence and removing the need for postprocessing.
Findings
Superconvergent rate achieved in $L^,T;L^2()$ norm.
Method applicable to general polyhedral meshes.
Numerical experiments confirm theoretical convergence rates.
Abstract
We devised a first order time stepping ensemble hybridizable discontinuous Galerkin (HDG) method for a group of parameterized convection diffusion PDEs with different initial conditions, body forces, boundary conditions and coefficients in our earlier work [3]. We obtained an optimal convergence rate for the ensemble solutions in on a simplex mesh; and obtained a superconvergent rate for the ensemble solutions in after an element-by-element postprocessing if polynomials degree and the coefficients of the PDEs are independent of time. In this work, we propose a new second order time stepping ensemble HDG method to revisit the problem. We obtain a superconvergent rate for the ensemble solutions in without an element-by-element postprocessing for all polynomials degree . Furthermore, our mesh…
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Taxonomy
TopicsAdvanced Numerical Methods in Computational Mathematics · Advanced Mathematical Modeling in Engineering · Model Reduction and Neural Networks
