Leslie Greengard
Courant Institute of Mathematical Sciences
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Publication
Featured researches published by Leslie Greengard.
Journal of Computational Physics | 1987
Leslie Greengard; Vladimir Rokhlin
An algorithm is presented for the rapid evaluation of the potential and force fields in systems involving large numbers of particles whose interactions are Coulombic or gravitational in nature. For a system ofNparticles, an amount of work of the orderO(N2) has traditionally been required to evaluate all pairwise interactions, unless some approximation or truncation method is used. The algorithm of the present paper requires an amount of work proportional toNto evaluate all interactions to within roundoff error, making it considerably more practical for large-scale problems encountered in plasma physics, fluid dynamics, molecular dynamics, and celestial mechanics.
Acta Numerica | 1997
Leslie Greengard; Vladimir Rokhlin
Abstract : We introduce a new version of the Fast Multipole Method for the evaluation of potential fields in three dimensions. It is based on a new diagonal form for translation operators and yields high accuracy at a reasonable cost.
Siam Journal on Scientific and Statistical Computing | 1988
J Carrier; Leslie Greengard; Vladimir Rokhlin
This paper describes an algorithm for the rapid evaluation of the potential and force fields in systems involving large numbers of particles whose interactions are described by Coulombs law. Unlike previously published schemes, the algorithm of this paper has an asymptotic CPU time estimate of
Siam Journal on Scientific and Statistical Computing | 1991
Leslie Greengard; John Strain
O(N)
Journal of Computational Physics | 2006
Hongwei Cheng; William Y. Crutchfield; Zydrunas Gimbutas; Leslie Greengard; J. Frank Ethridge; Jingfang Huang; Vladimir Rokhlin; Norman Yarvin; Junsheng Zhao
, where N is the number of particles in the simulation, and does not depend on the statistics of the distribution for its efficient performance. The numerical examples we present indicate that it should be an algorithm of choice in many situations of practical interest.
Science | 1994
Leslie Greengard
Many problems in applied mathematics require the evaluation of the sum of N Gaussians at M points in space. The work required for direct evaluation grows like
computational science and engineering | 1998
Leslie Greengard; Jingfang Huang; Vladimir Rokhlin; Stephen M. Wandzura
NM
Bit Numerical Mathematics | 2000
Alok Dutt; Leslie Greengard; Vladimir Rokhlin
as N and M increase; this makes it very expensive to carry out such calculations on a large scale. In this paper, an algorithm is presented which evaluates the sum of N Gaussians at M arbitrarily distributed points in
SIAM Journal on Numerical Analysis | 2000
Bradley K. Alpert; Leslie Greengard; Thomas Hagstrom
C \cdot (N + M)
Computers & Mathematics With Applications | 1990
Leslie Greengard; William Gropp
work, where C depends only on the precision required. When