Guanglian Li; Ke Shi: Upscaled HDG methods for Brinkman equations with high-contrast heterogeneous coefficient. In: INS Preprints, 1716.
Online-Ausgabe in bonndoc: https://hdl.handle.net/20.500.11811/11829
Online-Ausgabe in bonndoc: https://hdl.handle.net/20.500.11811/11829
@unpublished{handle:20.500.11811/11829,
author = {{ } and { }},
title = {Upscaled HDG methods for Brinkman equations with high-contrast heterogeneous coefficient},
publisher = {Institut für Numerische Simulation (INS)},
year = 2017,
month = oct,
INS Preprints},
volume = 1716,
note = {In this paper, we present new upscaled HDG methods for Brinkman equations in the context of high-contrast heterogeneous media. The a priori error estimates are derived in terms of both fine and coarse scale parameters that depends on the high-contrast coefficient weakly. Due to the heterogeneousity of the problem, a huge global system will be produced after the numerical discretization of HDG method. Thanks to the upscaled structure of the proposed methods, we are able to reduce the huge global system onto the skeleton of the coarse mesh only while still capturing important fine scale features of this problem. The finite element space over the coarse mesh is irrelevant to the fine scale computation. This feature makes our proposed method very attractive. Several numerical examples are presented to support our theoretical findings.},
url = {https://hdl.handle.net/20.500.11811/11829}
}
author = {{ } and { }},
title = {Upscaled HDG methods for Brinkman equations with high-contrast heterogeneous coefficient},
publisher = {Institut für Numerische Simulation (INS)},
year = 2017,
month = oct,
INS Preprints},
volume = 1716,
note = {In this paper, we present new upscaled HDG methods for Brinkman equations in the context of high-contrast heterogeneous media. The a priori error estimates are derived in terms of both fine and coarse scale parameters that depends on the high-contrast coefficient weakly. Due to the heterogeneousity of the problem, a huge global system will be produced after the numerical discretization of HDG method. Thanks to the upscaled structure of the proposed methods, we are able to reduce the huge global system onto the skeleton of the coarse mesh only while still capturing important fine scale features of this problem. The finite element space over the coarse mesh is irrelevant to the fine scale computation. This feature makes our proposed method very attractive. Several numerical examples are presented to support our theoretical findings.},
url = {https://hdl.handle.net/20.500.11811/11829}
}