Fourier series
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31—40 of 55 matching pages
31: 22.20 Methods of Computation
32: 3.11 Approximation Techniques
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►In fact, (3.11.11) is the Fourier-series expansion of ; compare (3.11.6) and §1.8(i).
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►to the maximum error of the minimax polynomial is bounded by , where is the th Lebesgue constant for Fourier series; see §1.8(i).
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33: Bibliography C
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Introduction to the Theory of Fourier’s Series and Integrals.
3rd edition, Macmillan, London.
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An algorithm for the machine calculation of complex Fourier series.
Math. Comp. 19 (90), pp. 297–301.
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34: Bibliography S
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An Introduction to Basic Fourier Series.
Developments in Mathematics, Vol. 9, Kluwer Academic Publishers, Dordrecht.
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35: 18.2 General Orthogonal Polynomials
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►For such a system, functions and sequences () satisfying can be related to each other in a similar way as was done for Fourier series in (1.8.1) and (1.8.2):
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36: Errata
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Equations (14.13.1), (14.13.2)
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Originally it was stated that these Fourier series converge “…conditionally when is real and .” It has been corrected to read “If then they converge, but, if , they do not converge absolutely.”
Reported by Hans Volkmer on 2021-06-04
37: 28.11 Expansions in Series of Mathieu Functions
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28.11.7
38: 28.15 Expansions for Small
39: 18.17 Integrals
40: Bibliography R
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Remark on Algorithm 498: Airy functions using Chebyshev series approximations.
ACM Trans. Math. Software 7 (3), pp. 404–405.
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Fourier analysis and signal processing by use of the Möbius inversion formula.
IEEE Trans. Acoustics, Speech, Signal Processing 38, pp. 458–470.
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Methods of Modern Mathematical Physics, Vol. 2, Fourier Analysis, Self-Adjointness.
Academic Press, New York.
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Elliptic hypergeometric series on root systems.
Adv. Math. 181 (2), pp. 417–447.
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Functional Analysis.
McGraw-Hill Book Co., New York.
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