Author:
Angleitner Niklas,Faustmann Markus,Melenk Jens Markus
Abstract
AbstractWe consider the approximation of the inverse of the finite element stiffness matrix in the data sparse $${\mathcal{H}}$$
H
-matrix format. For a large class of shape regular but possibly non-uniform meshes including algebraically graded meshes, we prove that the inverse of the stiffness matrix can be approximated in the $${\mathcal{H}}$$
H
-matrix format at an exponential rate in the block rank. Since the storage complexity of the hierarchical matrix is logarithmic-linear and only grows linearly in the block-rank, we obtain an efficient approximation that can be used, e.g., as an approximate direct solver or preconditioner for iterative solvers.
Publisher
Springer Science and Business Media LLC
Subject
Computational Mathematics,Algebra and Number Theory
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