based on Sinc functions
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1: 3.3 Interpolation
2: Bibliography S
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Numerical Methods Based on Sinc and Analytic Functions.
Springer Series in Computational Mathematics, Vol. 20, Springer-Verlag, New York.
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3: 7 Error Functions, Dawson’s and Fresnel Integrals
Chapter 7 Error Functions, Dawson’s and Fresnel Integrals
…4: 3.4 Differentiation
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►For formulas for derivatives with equally-spaced real nodes and based on Sinc approximations (§3.3(vi)), see Stenger (1993, §3.5).
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§3.4(ii) Analytic Functions
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3.4.18
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3.4.19
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5: 33.11 Asymptotic Expansions for Large
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33.11.1
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6: 25.11 Hurwitz Zeta Function
7: 4.45 Methods of Computation
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Logarithms
… ►and since , can be computed straightforwardly from (4.2.19). ►Trigonometric Functions
… ►and since , and can be computed straightforwardly from (4.19.1) and (4.19.2). … ►Inverse Trigonometric Functions
…8: 25.15 Dirichlet -functions
§25.15 Dirichlet -functions
… ► … ►When is a primitive character (mod ) the -functions satisfy the functional equation: … ►§25.15(ii) Zeros
►Since if , (25.15.5) shows that for a primitive character the only zeros of for (the so-called trivial zeros) are as follows: …9: 1.16 Distributions
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is called a distribution, or generalized function, if it is a continuous linear functional on , that is, it is a linear functional and for every in ,
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►Since
is the Lebesgue–Stieltjes measure corresponding to (see §1.4(v)), formula (1.16.16) is a special case of (1.16.3_5), (1.16.9_5) for that choice of .
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►Since
, we have
…Since the quantity on the extreme right of (1.16.41) is equal to , as distributions, the result in this equation can be stated as
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10: 2.3 Integrals of a Real Variable
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►For the function
see §5.2(i).
►This result is probably the most frequently used method for deriving asymptotic expansions of special functions.
Since
need not be continuous (as long as the integral converges), the case of a finite integration range is included.
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►Another extension is to more general factors than the exponential function.
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(d)
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If , then and each of the integrals
2.3.22
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converges at uniformly for all sufficiently large .