An embedded SDG method for the convection-diffusion equation
This work presents a novel numerical method for solving convection-diffusion equations, offering improved computational efficiency and stability for researchers in computational fluid dynamics and related fields.
The paper introduces an embedded staggered discontinuous Galerkin method for the convection-diffusion equation that combines advantages of SDG and EDG methods, achieving local and global conservation, no need for stabilization terms, and high computational efficiency. The method provides optimal convergence in potential and suboptimal convergence in flux, with L^2 stability for convection-dominated problems.
In this paper, we present an embedded staggered discontinuous Galerkin method for the convection-diffusion equation. The new method combines the advantages of staggered discontinuous Galerkin (SDG) and embedded discontinuous Galerkin (EDG) method, and results in many good properties, namely local and global conservations, free of carefully designed stabilization terms or flux conditions and high computational efficiency. In applying the new method to convection-dominated problems, the method provides optimal convergence in potential and suboptimal convergence in flux, which is comparable to other existing DG methods, and achieves $L^2$ stability by making use of a skew-symmetric discretization of the convection term, irrespective of diffusivity. We will present numerical results to show the performance of the method.