Title
Upscaling of Mixed Finite Element Discretization Problems by the Spectral AMGe Method.
Abstract
We propose two multilevel spectral techniques for constructing coarse discretization spaces for saddle-point problems corresponding to PDEs involving a divergence constraint, with a focus on mixed finite element discretizations of scalar self-adjoint second order elliptic equations on general unstructured grids. We use element agglomeration algebraic multigrid (AMGe), which employs coarse elements that can have nonstandard shape since they are agglomerates of fine-grid elements. The coarse basis associated with each agglomerated coarse element is constructed by solving local eigenvalue problems and local mixed finite element problems. This construction leads to stable upscaled coarse spaces and guarantees the inf-sup compatibility of the upscaled discretization. Also, the approximation properties of these upscaled spaces improve by adding more local eigenfunctions to the coarse spaces. The higher accuracy comes at the cost of additional computational effort, as the sparsity of the resulting upscaled coarse discretization (referred to as operator complexity) deteriorates when we introduce additional functions in the coarse space. We also provide an efficient solver for the coarse (upscaled) saddle-point system by employing hybridization, which leads to a symmetric positive definite (s.p.d.) reduced system for the Lagrange multipliers, and to solve the latter s.p.d. system, we use our previously developed spectral AMGe solver. Numerical experiments, in both two and three dimensions, are provided to illustrate the efficiency of the proposed upscaling technique.
Year
DOI
Venue
2016
10.1137/15M1036683
SIAM JOURNAL ON SCIENTIFIC COMPUTING
Keywords
Field
DocType
element agglomeration,algebraic multigrid,spectral AMGe,upscaling,mixed finite elements
Saddle,Discretization,Mathematical optimization,Eigenfunction,Mathematical analysis,Scalar (physics),Finite element method,Mathematics,Multigrid method,Eigenvalues and eigenvectors
Journal
Volume
Issue
ISSN
38
5
1064-8275
Citations 
PageRank 
References 
2
0.36
0
Authors
5
Name
Order
Citations
PageRank
D. Kalchev141.80
Chak Shing Lee2846.24
Umberto Villa3306.64
Yalchin Efendiev458167.04
Panayot S. Vassilevski5500118.98