Fast polynomial representation for the translation operators of an MLFMA

Sanjay Velamparambil, Weng Cho Chew

Research output: Contribution to journalArticlepeer-review

Abstract

Diagonal translation operators form the core of the dynamic multilevel fast multipole algorithm (MLFMA). An application of the MLFMA requires knowledge of these operators over a large number of samples. In fact, the cost of a naive evaluation is O(N3/2), where N is the number of unknowns. More importantly, in a distributed memory computer, if the operators are precomputed and replicated in every processor, the memory requirements scale as O(Np), where p is the number of processors. In this paper, we construct fast polynomial representations of the diagonal operators which require O(√N) storage, and which can be computed in O(N log (1/q)) time, where q is the desired precision. We report some numerical results demonstrating the performance of the new representations.

Original languageEnglish (US)
Pages (from-to)298-303
Number of pages6
JournalMicrowave and Optical Technology Letters
Volume28
Issue number5
DOIs
StatePublished - Mar 1 2001

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Condensed Matter Physics
  • Electrical and Electronic Engineering

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