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dc.contributor.authorLiao J
dc.contributor.authorHuang TZ
dc.contributor.authorCarpentieri B
dc.date.accessioned2018-08-08T09:45:59Z
dc.date.available2018-08-08T09:45:59Z
dc.date.issued2013
dc.identifier.issn1787-2405
dc.identifier.urihttp://dx.doi.org/10.18514/MMN.2013.344
dc.identifier.urihttp://mat76.mat.uni-miskolc.hu/mnotes/contents/14/1
dc.identifier.urihttp://hdl.handle.net/10863/5699
dc.description.abstractIn the last two decades, substantial effort has been devoted to solve large systems of linear equations with algebraic multigrid (AMG) method. Usually, these systems arise from discretizing partial differential equations (PDE) which we encounter in engineering problems. The main principle of this methodology focuses on the elimination of the so-called algebraic smooth error after the smoother has been applied. Smoothed aggregation style multigrid is a particular class of AMG method whose coarsening process differs from the classic AMG. It is also a very popular and effective iterative solver and preconditioner for many problems. In this paper, we present two kinds of novel methods which both focus on the modification of the aggregation algorithm, and both lead a better performance while apply to several problems, such as Helmholtz equation.en_US
dc.language.isoenen_US
dc.rights
dc.titleTwo novel aggregation-based algebraic multigrid methodsen_US
dc.typeArticleen_US
dc.date.updated2018-08-08T09:30:33Z
dc.language.isiEN-GB
dc.journal.titleMiskolc Mathematical Notes
dc.description.fulltextopenen_US


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