Stabilising aggregation AMG

Author Frank Hülsemann



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Frank Hülsemann

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Frank Hülsemann. Stabilising aggregation AMG. In Combinatorial Scientific Computing. Dagstuhl Seminar Proceedings, Volume 9061, pp. 1-4, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009) https://doi.org/10.4230/DagSemProc.09061.17

Abstract

When applied to linear systems arising from scalar elliptic partial differential equations,  algebraic multigrid (AMG) schemes based on aggregation exhibit a mesh size dependent convergence behaviour.  As the number of iterations increases with the number of unknowns in the linear system, the computational  complexity of such a scheme is non-optimal. This contribution presents a stabilisation of the aggregation  AMG algorithm which adds a number of subspace projection steps at different stages of the algorithm and 
allows for variable cycling strategies. Numerical results illustrate the advantage of the stabilised algorithm over its  original formulation.

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Keywords
  • Algebraic multigrid
  • aggregation
  • stabilisation

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