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A General Interpolation Strategy for Algebraic Multigrid Using Energy Minimization
by
Schroder, Jacob B.
, Olson, Luke N.
, Tuminaro, Raymond S.
in
Algebra
/ Approximations and expansions
/ Energy conservation
/ Energy use
/ Exact sciences and technology
/ Hierarchies
/ Interpolation
/ Mathematical analysis
/ Mathematical models
/ Mathematics
/ Methods of scientific computing (including symbolic computation, algebraic computation)
/ Minimization
/ Numerical analysis
/ Numerical analysis. Scientific computation
/ Numerical approximation
/ Partial differential equations, initial value problems and time-dependant initial-boundary value problems
/ Sciences and techniques of general use
/ Sparsity
/ Strategy
/ Studies
2011
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A General Interpolation Strategy for Algebraic Multigrid Using Energy Minimization
by
Schroder, Jacob B.
, Olson, Luke N.
, Tuminaro, Raymond S.
in
Algebra
/ Approximations and expansions
/ Energy conservation
/ Energy use
/ Exact sciences and technology
/ Hierarchies
/ Interpolation
/ Mathematical analysis
/ Mathematical models
/ Mathematics
/ Methods of scientific computing (including symbolic computation, algebraic computation)
/ Minimization
/ Numerical analysis
/ Numerical analysis. Scientific computation
/ Numerical approximation
/ Partial differential equations, initial value problems and time-dependant initial-boundary value problems
/ Sciences and techniques of general use
/ Sparsity
/ Strategy
/ Studies
2011
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Do you wish to request the book?
A General Interpolation Strategy for Algebraic Multigrid Using Energy Minimization
by
Schroder, Jacob B.
, Olson, Luke N.
, Tuminaro, Raymond S.
in
Algebra
/ Approximations and expansions
/ Energy conservation
/ Energy use
/ Exact sciences and technology
/ Hierarchies
/ Interpolation
/ Mathematical analysis
/ Mathematical models
/ Mathematics
/ Methods of scientific computing (including symbolic computation, algebraic computation)
/ Minimization
/ Numerical analysis
/ Numerical analysis. Scientific computation
/ Numerical approximation
/ Partial differential equations, initial value problems and time-dependant initial-boundary value problems
/ Sciences and techniques of general use
/ Sparsity
/ Strategy
/ Studies
2011
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A General Interpolation Strategy for Algebraic Multigrid Using Energy Minimization
Journal Article
A General Interpolation Strategy for Algebraic Multigrid Using Energy Minimization
2011
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Overview
Algebraic multigrid methods solve sparse linear systems Ax = b by automatic construction of a multilevel hierarchy. This hierarchy is defined by grid transfer operators that must accurately capture algebraically smooth error relative to the relaxation method. We propose a methodology to improve grid transfers through energy minimization. The proposed strategy is applicable to Hermitian, non-Hermitian, definite, and indefinite problems. Each column of the grid transfer operator P is minimized in an energy-based norm while enforcing two types of constraints: a defined sparsity pattern and preservation of specified modes in the range of P. A Krylov-based strategy is used to minimize energy, which is equivalent to solving APj = 0 for each column j of P, with the constraints ensuring a nontrivial solution. For the Hermitian positive definite case, a conjugate gradient (CG-)based method is utilized to construct grid transfers, while methods based on generalized minimum residual (GMRES) and CG on the normal equations (CGNR) are explored for the general case. The approach is flexible, allowing for arbitrary coarsenings, unrestricted sparsity patterns, straightforward long-distance interpolation, and general use of constraints, either user-defined or auto-generated. We conclude with numerical evidence in support of the proposed framework. [PUBLICATION ABSTRACT]
Publisher
Society for Industrial and Applied Mathematics
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