Abstract

We present grid-oriented and newly developed point-oriented robust multilevel methods for full and sparse grid discretizations. Especially the point-oriented multilevel methods are very well suited for parallelization and behave robust for anisotropic model problems. They can be generalized easily to domain-oriented multilevel methods with the same properties.

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