Journal
NUMERISCHE MATHEMATIK
Volume 101, Issue 2, Pages 221-249Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s00211-005-0618-1
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The efficient treatment of dense matrices arising, e.g., from the finite element discretisation of integral operators requires special compression techniques. In this article we use the H-matrix representation that approximates the dense stiffness matrix in admissible blocks ( corresponding to subdomains where the underlying kernel function is smooth) by low-rank matrices. The low-rank matrices are assembled by a new hybrid algorithm (HCA) that has the same proven convergence as standard interpolation but also the same efficiency as the ( heuristic) adaptive cross approximation (ACA).
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