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Journal of Scientific Computing
Article . 1988 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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Article . 1988
Data sources: zbMATH Open
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Article . 2022
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Domain decomposition preconditioners for the spectral collocation method

Authors: QUARTERONI, ALFIO MARIA; G. Sacchi Landriani;

Domain decomposition preconditioners for the spectral collocation method

Abstract

This paper proposes and analyzes several block iteration preconditioners for the solutions of elliptic problems by spectral collocation methods in a region partitioned into several rectangles. One considers a spectral collocation approximation which consists of collocating differential equations at Gaussian collocation points; and then a variational formulation of the collocation multidomain problems is given. The convergence is analyzed, and it is shown how the iteration-by-subdomain method can be interpreted in terms of matrices.

Country
Italy
Keywords

Iterative numerical methods for linear systems, domain decomposition, Gaussian collocation points, convergence, Boundary value problems for second-order elliptic equations, block iteration preconditioners, approximation of elliptic equations, Domain decomposition, spectral collocation methods, spectral collocation methods, Spectral, collocation and related methods for boundary value problems involving PDEs, iteration- by-subdomain method

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    31
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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!
31
Average
Top 1%
Top 10%
bronze