Abstract
In this paper, we propose a multi-scale discontinuous Galerkin (DG) method for second-order elliptic problems with curvilinear unidirectional rough coefficients by choosing a special non-polynomial approximation space. The key ingredient of the method lies in the incorporation of the local oscillatory features of the differential operators into the approximation space so as to capture the multi-scale solutions without having to resolve the finest scales. The unidirectional feature of the rough coefficients allows us to construct the basis functions of the DG non-polynomial approximation space explicitly, thereby greatly increasing the algorithm efficiency. Detailed error estimates for two-dimensional second-order DG methods are derived, and a general guidance on how to construct such non-polynomial basis is discussed. Numerical examples are also presented to validate and demonstrate the effectiveness of the algorithm.
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Johnny Guzmán’s research was partially supported by NSF Grant DMS-0914596. Chi-Wang Shu’s research was supported by DOE Grant DE-FG02-08ER25863 and NSF Grant DMS-1112700.
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Zhang, Y., Wang, W., Guzmán, J. et al. Multi-scale Discontinuous Galerkin Method for Solving Elliptic Problems with Curvilinear Unidirectional Rough Coefficients. J Sci Comput 61, 42–60 (2014). https://doi.org/10.1007/s10915-013-9816-7
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DOI: https://doi.org/10.1007/s10915-013-9816-7