Lax-Friedrichs fast sweeping methods for steady state problems for hyperbolic conservation laws
被引:23
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作者:
Chen, Weitao
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机构:
Ohio State Univ, Dept Math, Columbus, OH 43210 USAOhio State Univ, Dept Math, Columbus, OH 43210 USA
Chen, Weitao
[1
]
Chou, Ching-Shan
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机构:
Ohio State Univ, Dept Math, Columbus, OH 43210 USAOhio State Univ, Dept Math, Columbus, OH 43210 USA
Chou, Ching-Shan
[1
]
Kao, Chiu-Yen
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机构:
Ohio State Univ, Dept Math, Columbus, OH 43210 USA
Claremont Mckenna Coll, Dept Math & Comp Sci, Claremont, CA 91711 USAOhio State Univ, Dept Math, Columbus, OH 43210 USA
Kao, Chiu-Yen
[1
,2
]
机构:
[1] Ohio State Univ, Dept Math, Columbus, OH 43210 USA
[2] Claremont Mckenna Coll, Dept Math & Comp Sci, Claremont, CA 91711 USA
Hyperbolic conservation laws;
Steady state problems;
Fast sweeping methods;
High order accuracy;
WENO reconstruction;
RESIDUAL DISTRIBUTION SCHEMES;
DIFFERENCE WENO SCHEMES;
HIGH-ORDER;
EFFICIENT IMPLEMENTATION;
D O I:
10.1016/j.jcp.2012.10.008
中图分类号:
TP39 [计算机的应用];
学科分类号:
081203 ;
0835 ;
摘要:
Fast sweeping methods are efficient iterative numerical schemes originally designed for solving stationary Hamilton-Jacobi equations. Their efficiency relies on Gauss-Seidel type nonlinear iterations, and a finite number of sweeping directions. In this paper, we generalize the fast sweeping methods to hyperbolic conservation laws with source terms. The algorithm is obtained through finite difference discretization, with the numerical fluxes evaluated in WENO (Weighted Essentially Non-oscillatory) fashion, coupled with Gauss-Seidel iterations. In particular, we consider mainly the Lax-Friedrichs numerical fluxes. Extensive numerical examples in both scalar and system test problems in one and two dimensions demonstrate the efficiency, high order accuracy and the capability of resolving shocks of the proposed methods. (C) 2012 Elsevier Inc. All rights reserved.
机构:
South China Normal Univ, South China Res Ctr Appl Math & Interdisciplinary, Guangzhou 510631, Guangdong, Peoples R ChinaSouth China Normal Univ, South China Res Ctr Appl Math & Interdisciplinary, Guangzhou 510631, Guangdong, Peoples R China
Lu, Jianfang
Shu, Chi-Wang
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机构:
Brown Univ, Div Appl Math, Providence, RI 02912 USASouth China Normal Univ, South China Res Ctr Appl Math & Interdisciplinary, Guangzhou 510631, Guangdong, Peoples R China
Shu, Chi-Wang
Tan, Sirui
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机构:
Brown Univ, Div Appl Math, Providence, RI 02912 USASouth China Normal Univ, South China Res Ctr Appl Math & Interdisciplinary, Guangzhou 510631, Guangdong, Peoples R China
Tan, Sirui
Zhang, Mengping
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机构:
Univ Sci & Technol China, Sch Math Sci, Hefei 230026, Anhui, Peoples R ChinaSouth China Normal Univ, South China Res Ctr Appl Math & Interdisciplinary, Guangzhou 510631, Guangdong, Peoples R China
机构:
Univ Waterloo, David R Cheriton Sch Comp Sci, Waterloo, ON N2L 3G1, CanadaUniv Waterloo, David R Cheriton Sch Comp Sci, Waterloo, ON N2L 3G1, Canada
Amarala, Swathi
Wan, Justin W. L.
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机构:
Univ Waterloo, David R Cheriton Sch Comp Sci, Waterloo, ON N2L 3G1, CanadaUniv Waterloo, David R Cheriton Sch Comp Sci, Waterloo, ON N2L 3G1, Canada
机构:
Virginia Polytech Inst & State Univ, Dept Comp Sci, Blacksburg, VA 24061 USAVirginia Polytech Inst & State Univ, Dept Comp Sci, Blacksburg, VA 24061 USA
Constantinescu, Emil M.
Sandu, Adrian
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机构:
Virginia Polytech Inst & State Univ, Dept Comp Sci, Blacksburg, VA 24061 USAVirginia Polytech Inst & State Univ, Dept Comp Sci, Blacksburg, VA 24061 USA