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Open AccessJournal ArticleDOI

The calculation of Fourier coefficients by the Möbius inversion of the Poisson summation formula. I. Functions whose early derivatives are continuous

J. N. Lyness
- 01 Jan 1970 - 
- Vol. 24, Iss: 109, pp 101-135
TLDR
In this paper, the M6bius inversion technique is applied to the Poisson summation formula, which results in expressions for the remainder term in the Fourier coefficient asymptotic expansion as an infinite series.
Abstract
The M6bius inversion technique is applied to the Poisson summation formula. This results in expressions for the remainder term in the Fourier coefficient asymptotic expansion as an infinite series. Each element of this series is a remainder term in the corresponding Euler-Maclaurin summation formula, and the series has specified convergence properties. These expressions may be used as the basis for the numerical evaluation of sets of Fourier coefficients. The organization of such a calculation is described, and discussed in the context of a broad comparison between this approach and various other standard methods.

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Journal ArticleDOI

Survey of Extrapolation Processes in Numerical Analysis

D. C. Joyce
- 01 Oct 1971 - 
TL;DR: In this article, a survey of extrapolation processes in numerical analysis is presented, dealing mainly with those based on polynomial or rational functions, and the more important results are presented in a uniform notation.
Journal ArticleDOI

A numerical method for the integration of oscillatory functions

TL;DR: In this paper, a new method for the calculation of the integrals is presented, where the function f(x) is approximated by a sum of Chebyshev polynomials, which are then used to calculate a Neumann series approximation forI1(m) and I2(m).
Journal ArticleDOI

Euler summation for fourier series and laplace transform inversion

TL;DR: In this article, the authors present an analysis of the effect of Euler summation on the truncation error of Fourier series methods for Laplace transform inversion and show that the degree of averaging parameter m should depend only on the desired accuracy, and not on properties of the function in question (so long as that function is sufficiently smooth).
Journal ArticleDOI

An algorithm based on the FFT for a generalized Chebyshev interpolation

TL;DR: An algorithm for a generalized Chebyshev interpolation procedure, increasing the number of sample points more moderately than doubling, is pre- sented andumerical comparison with other existing algorithms is given.
Journal ArticleDOI

Adjusted forms of the Fourier coefficient asymptotic expansion and applications in numerical quadrature

TL;DR: The Fourier Coefficient Asymptotic Expansion (F.C.A.E) as discussed by the authors is a generalization of the Euler-Maclaurin expansion.
References
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Journal ArticleDOI

An algorithm for the machine calculation of complex Fourier series

TL;DR: Good generalized these methods and gave elegant algorithms for which one class of applications is the calculation of Fourier series, applicable to certain problems in which one must multiply an N-vector by an N X N matrix which can be factored into m sparse matrices.
Book

An Introduction to the Theory of Numbers

G. H. Hardy
TL;DR: The fifth edition of the introduction to the theory of numbers has been published by as discussed by the authors, and the main changes are in the notes at the end of each chapter, where the author seeks to provide up-to-date references for the reader who wishes to pursue a particular topic further and to present a reasonably accurate account of the present state of knowledge.
Book

Numerical Methods for Scientists and Engineers

TL;DR: This inexpensive paperback edition of a groundbreaking classic is unique in its emphasis on the frequency approach and its use in the solution of problems.
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