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Dive into the research topics where Leslie Greengard is active.

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Featured researches published by Leslie Greengard.


Journal of Computational Physics | 1987

A fast algorithm for particle simulations

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

A New Version of the Fast Multipole Method for the Laplace Equation in Three Dimensions.

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

A Fast Adaptive Multipole Algorithm for Particle Simulations

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

The fast Gauss transform

Leslie Greengard; John Strain

O(N)


Journal of Computational Physics | 2006

A wideband fast multipole method for the Helmholtz equation in three dimensions

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

Fast Algorithms for Classical Physics

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

Accelerating fast multipole methods for the Helmholtz equation at low frequencies

Leslie Greengard; Jingfang Huang; Vladimir Rokhlin; Stephen M. Wandzura

NM


Bit Numerical Mathematics | 2000

Spectral Deferred Correction Methods for Ordinary Differential Equations

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

Rapid Evaluation of Nonreflecting Boundary Kernels for Time-Domain Wave Propagation

Bradley K. Alpert; Leslie Greengard; Thomas Hagstrom

C \cdot (N + M)


Computers & Mathematics With Applications | 1990

A parallel version of the fast multipole method

Leslie Greengard; William Gropp

work, where C depends only on the precision required. When

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Zydrunas Gimbutas

National Institute of Standards and Technology

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Shidong Jiang

New Jersey Institute of Technology

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Felipe Vico

Polytechnic University of Valencia

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Jingfang Huang

University of North Carolina at Chapel Hill

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