Approximating the Gaussian as a Sum of Exponentials and its Applications to the Fast Gauss Transform
Document Type
Article
Publication Date
1-1-2021
Abstract
We develop efficient and accurate sum-of-exponential (SOE) approximations for the Gaussian using rational approximation of the exponential function on the negative real axis. Six digit accuracy can be obtained with eight terms and ten digit accuracy can be obtained with twelve terms. This representation is of potential interest in approximation theory but we focus here on its use in accelerating the fast Gauss transform (FGT) in one and two dimensions. The one-dimensional scheme is particularly straightforward and easy to implement, requiring only twenty-four lines of MATLAB code. The two-dimensional version requires some care with data structures, but is significantly more efficient than existing FGTs. Following a detailed presentation of the theoretical foundations, we demonstrate the performance of the fast transforms with several numerical experiments.
Identifier
85121762642 (Scopus)
Publication Title
Communications in Computational Physics
External Full Text Location
https://doi.org/10.4208/cicp.OA-2021-0031
e-ISSN
19917120
ISSN
18152406
First Page
1
Last Page
26
Issue
1
Volume
31
Grant
DMS-1720405
Fund Ref
National Science Foundation
Recommended Citation
Jiang, Shidong and Greengard, Leslie, "Approximating the Gaussian as a Sum of Exponentials and its Applications to the Fast Gauss Transform" (2021). Faculty Publications. 4590.
https://digitalcommons.njit.edu/fac_pubs/4590