, Volume 72, Issue 3–4, pp 325–332 | Cite as

Low-Rank Approximation of Integral Operators by Interpolation

  • Steffen Börm
  • Lars GrasedyckEmail author


A central component of the analysis of panel clustering techniques for the approximation of integral operators is the so-called η -admissibility condition “ min {diam(τ),diam(σ)} ≤ 2ηdist(τ,σ)” that ensures that the kernel function is approximated only on those parts of the domain that are far from the singularity. Typical techniques based on a Taylor expansion of the kernel function require a subdomain to be “far enough” from the singularity such that the parameter η has to be smaller than a given constant depending on properties of the kernel function. In this paper, we demonstrate that any η is sufficient if interpolation instead of Taylor expansion␣is␣used for the kernel approximation, which paves the way for grey-box panel clustering algorithms.


Cluster Algorithm Kernel Function Integral Operator Taylor Expansion Cluster Technique 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Wien 2004

Authors and Affiliations

  1. 1.Max-Planck-Institute for Mathematics in the SciencesLeipzigGermany

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