2003Unpublished venueRequires access

Optimal preconditioners for the p-Version of the fem

Sven Beuchler

Open publisher page 6 citations

Abstract

In this paper, we consider domain decomposition preconditioners for a system of linear algebraic equations arising from the p-version of the fem. We propose several multi-level preconditioners for the Dirichlet problems in the sub-domains in two and three dimensions. It is proved that the condition number of the preconditioned system is bounded by a constant independent of the polynomial degree. The proof uses interpretations of the p-version element stiffness matrix and mass matrix on [-1, 1] as h-version stiffness matrix and weighted mass matrix. The analysis requires wavelet methods.

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What this paper is about

In this paper, we consider domain decomposition preconditioners for a system of linear algebraic equations arising from the p-version of the fem. We propose several multi-level preconditioners for the Dirichlet problems in the sub-domains in two and three dimensions. It is proved that the condition number of the preconditioned system is bounded by a constant independent of the polynomial degree. The proof uses interpretations of the p-version element stiffness matrix and mass matrix on [-1, 1] as h-version stiffness matrix and weighted mass matrix. The analysis requires wavelet methods.

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Available abstract

In this paper, we consider domain decomposition preconditioners for a system of linear algebraic equations arising from the p-version of the fem. We propose several multi-level preconditioners for the Dirichlet problems in the sub-domains in two and three dimensions. It is proved that the condition number of the preconditioned system is bounded by a constant independent of the polynomial degree. The proof uses interpretations of the p-version element stiffness matrix and mass matrix on [-1, 1] as h-version stiffness matrix and weighted mass matrix. The analysis requires wavelet methods.

Key concepts: Mathematics, Condition number, Mass matrix, Finite element method, Domain decomposition methods, Matrix (chemical analysis), Constant (computer programming), Bounded function

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