In this chapter, we describe iterative methods for solving the discretization of a self adjoint and coercive elliptic equation on a grid with a multilevel structure. Such grids are obtained by the successive refinement of an initial coarse grid, either globally or locally. When the refinement is global, the resulting grid is quasi-uniform, while if the refinement is restricted to subregions, the resulting grid will not be quasi-uniform. We describe preconditioners formulated using multigrid methodology [BR22, HA4, HA2, BR36]. Multilevel preconditioners can yield optimal order performance, like multigrid methods, however, they are convergent only with Krylov space acceleration.
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© 2008 Springer-Verlag Berlin Heidelberg
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(2008). Multilevel and Local Grid Refinement Methods. In: Domain Decomposition Methods for the Numerical Solution of Partial Differential Equations. Lecture Notes in Computational Science and Engineering, vol 61. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77209-5_7
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DOI: https://doi.org/10.1007/978-3-540-77209-5_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-77205-7
Online ISBN: 978-3-540-77209-5
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