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A matrix version of the fast multipole method

Publication ,  Journal Article
Sun, X; Pitsianis, NP
Published in: SIAM Review
January 1, 2001

We present a matrix interpretation of the three-dimensional fast multipole method (FMM). The FMM is for efficient computation of gravitational/electrostatic potentials and fields. It has found various applications and inspired the design of many efficient algorithms. The one-dimensional FMM is well interpreted in terms of matrix computations. The three-dimensional matrix version reveals the underlying matrix structures and computational techniques used in FMM. It also provides a unified view of algorithm variants as well as existing and emerging implementations of the FMM.

Duke Scholars

Published In

SIAM Review

DOI

ISSN

0036-1445

Publication Date

January 1, 2001

Volume

43

Issue

2

Start / End Page

289 / 300

Related Subject Headings

  • Numerical & Computational Mathematics
  • 4901 Applied mathematics
  • 0906 Electrical and Electronic Engineering
  • 0102 Applied Mathematics
 

Citation

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Sun, X., & Pitsianis, N. P. (2001). A matrix version of the fast multipole method. SIAM Review, 43(2), 289–300. https://doi.org/10.1137/S0036144500370835
Sun, X., and N. P. Pitsianis. “A matrix version of the fast multipole method.” SIAM Review 43, no. 2 (January 1, 2001): 289–300. https://doi.org/10.1137/S0036144500370835.
Sun X, Pitsianis NP. A matrix version of the fast multipole method. SIAM Review. 2001 Jan 1;43(2):289–300.
Sun, X., and N. P. Pitsianis. “A matrix version of the fast multipole method.” SIAM Review, vol. 43, no. 2, Jan. 2001, pp. 289–300. Scopus, doi:10.1137/S0036144500370835.
Sun X, Pitsianis NP. A matrix version of the fast multipole method. SIAM Review. 2001 Jan 1;43(2):289–300.

Published In

SIAM Review

DOI

ISSN

0036-1445

Publication Date

January 1, 2001

Volume

43

Issue

2

Start / End Page

289 / 300

Related Subject Headings

  • Numerical & Computational Mathematics
  • 4901 Applied mathematics
  • 0906 Electrical and Electronic Engineering
  • 0102 Applied Mathematics