H2-matrices — Multilevel methods for the approximation of integral operators
نویسنده
چکیده
Multigrid methods are typically used to solve partial differential equations, i.e., they approximate the inverse of the corresponding partial differential operators. At least for elliptic PDEs, this inverse can be expressed in the form of an integral operator by Green's theorem. This implies that multigrid methods approximate certain integral operators , so it is straightforward to look for variants of multigrid methods that can be used to approximate more general integral operators. H 2-matrices combine a multigrid-like structure with ideas from panel clustering algorithms in order to provide a very efficient method for discretizing and evaluating the integral operators found, e.g., in boundary element applications .
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Approximation of integral operators by H2-matrices with adaptive bases
H 2-matrices can be used to construct efficient approximations of discretized integral operators. The H 2-matrix approximation can be constructed efficiently by interpolation, Taylor or multipole expansion of the integral kernel function, but the resulting representation requires a large amount of storage. In order to improve the efficiency, local Schur decompositions can be used to eliminate r...
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The discretization of integral operators corresponding to non-local kernel functions typically gives rise to densely populated matrices. In order to be able to treat these matrices in an efficient manner, they have to be compressed, e.g., by panel clustering algorithms, multipole expansions or wavelet techniques. By choosing the correct panel clustering approach, the resulting approximation of ...
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