NONLINEAR MULTIGRID SOLVER EXPLOITING AMGe COARSE SPACES WITH APPROXIMATION PROPERTIES

Technical Report · Fri Jan 22 04:00:00 EST 2016

DOI:https://doi.org/10.2172/1237574· OSTI ID:1237574

Christensen, Max La Cour ^[1]; Villa, Umberto E. ^[2]; Engsig-Karup, Allan P. ^[1]; Vassilevski, Panayot S. ^[3]

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1. Technical Univ. of Denmark, Lyngby (Denmark)
2. Univ. of Texas, Austin, TX (United States)
3. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

The paper introduces a nonlinear multigrid solver for mixed nite element discretizations based on the Full Approximation Scheme (FAS) and element-based Algebraic Multigrid (AMGe). The main motivation to use FAS for unstruc- tured problems is the guaranteed approximation property of the AMGe coarse spaces that were developed recently at Lawrence Livermore National Laboratory. These give the ability to derive stable and accurate coarse nonlinear discretization problems. The previous attempts (including ones with the original AMGe method, [5, 11]), were less successful due to lack of such good approximation properties of the coarse spaces. With coarse spaces with approximation properties, our FAS approach on un- structured meshes should be as powerful/successful as FAS on geometrically re ned meshes. For comparison, Newton's method and Picard iterations with an inner state-of-the-art linear solver is compared to FAS on a nonlinear saddle point problem with applications to porous media ow. It is demonstrated that FAS is faster than Newton's method and Picard iterations for the experiments considered here. Due to the guaranteed approximation properties of our AMGe, the coarse spaces are very accurate, providing a solver with the potential for mesh-independent convergence on general unstructured meshes.

• Research Organization: Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC52-07NA27344
• OSTI ID: 1237574
• Report Number(s): LLNL--TR-681175
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING