On Generalized Gaussian Quadratures for Exponentials and Their Applications
By Gregory Beylkin, Lucas Monzón. 2002
89 citations recorded by the source corpus.
Subfields: Applied Mathematics, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/6d967347877b6b0b8a99d3f96f08671db6a9c836
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Applied Mathematics
- Gregory Beylkin
- Martin J. Mohlenkamp
- Lucas Monzón
- Mark Tygert
- Yoel Shkolnisky
- David J. Biagioni
- Xiaoping Shen
- Gilbert G. Walter
In Computer Vision and Pattern Recognition
- Gregory Beylkin
- Xiaoping Shen
- Gilbert G. Walter
- Martin J. Mohlenkamp
- Mark Tygert
- Yoel Shkolnisky
- Lucas Monzón
- Vladimir Rokhlin
Citations in the corpus
- Approximation of bandlimited functions (2006, methodology): “Justification that the first method works can be found in [1], while a proof that the second method works can be found in [2].”
- On approximation of functions by exponential sums (2005, methodology): “Even though most of the results in [11] are based on the particular properties of band functions, and as such, cannot be directly obtained by the general method of this paper, som in [11] are immediate consequences of the general approach presented here.”
- Fast evaluation of the Caputo fractional derivative and its applications to fractional diffusion equations (2015, unknown): “Efficient sum-of-exponentials approximation for the power function t − β ( β > 0 ) has been studied in detail both anaytically and algorithmically in a sequence of papers [5, 6, 7].”
- Approximation by exponential sums revisited (2010, unknown): “We note that the special case of purely imaginary exponents ηm in (67) is treated in [15].”
- Wavelets Based on Prolate Spheroidal Wave Functions (2004, methodology): “However, modern computational facilities and the recently developed numerical algorithms of Beylkin and Monzon [ 1 ] and of Xiao, Rokhlin and Yarvin [26] promise to provide elegant numerical results with satisfactory complexity.”
- Algorithms for Numerical Analysis in High Dimensions (2005, methodology): “15) is addressed in [5] by extending methods in [4].”
- Numerical construction of Green's functions in high dimensional elliptic problems with variable coefficients and analysis of renewable energy data via sparse and separable approximations (2012, background): “We begin by stating a key theoretical result developed in [19, 20].”