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SIAM Journal on Scientific Computing
Article . 1999 . Peer-reviewed
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V-Cycle Multigrid for Cell-Centered Finite Differences

V-cycle multigrid for cell-centered finite differences
Authors: Kwak, DY Kwak, Do Young;

V-Cycle Multigrid for Cell-Centered Finite Differences

Abstract

The author introduces and analyzes a new modified V-cycle multigrid algorithm for cell-centered finite difference (CCFD) approximation of the model problem \(-\nabla p\nabla \widetilde{u}=f\) in \(\Omega,\) \(\widetilde{u}=0\) on \(\partial \Omega\) where \(\Omega\) is the unit square. In this algorithm instead of the natural injection operator for prolongation a new weighted prolongation operator is used. It is proved that its energy norm is bounded by 1 in the case of constant function \(p\) and by \(1+Ch\) in the nonconstant case. The author shows that the V-cycle with a fixed number of smoothing steps is convergent in the case of constant function \(p\) and is a fairly good preconditioned in the nonconstant case. The numerical experiments for both cases demonstrate that the algorithm converges much faster than the conventional schemes.

Country
Korea (Republic of)
Related Organizations
Keywords

Finite difference methods for boundary value problems involving PDEs, Iterative numerical methods for linear systems, Multigrid methods; domain decomposition for boundary value problems involving PDEs, convergence, algorithm, finite difference, finite volume method, Stability and convergence of numerical methods for boundary value problems involving PDEs, cell-centered method, Boundary value problems for second-order elliptic equations, 518, multigrid method, numerical experiments

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Average
Top 10%
Average
Related to Research communities
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