asymptotic approximation of integrals
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21: 9.14 Incomplete Airy Functions
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►Incomplete Airy functions are defined by the contour integral (9.5.4) when one of the integration limits is replaced by a variable real or complex parameter.
For information, including asymptotic approximations, computation, and applications, see Levey and Felsen (1969), Constantinides and Marhefka (1993), and Michaeli (1996).
22: 8.22 Mathematical Applications
§8.22 Mathematical Applications
… ►plays a fundamental role in re-expansions of remainder terms in asymptotic expansions, including exponentially-improved expansions and a smooth interpretation of the Stokes phenomenon. … ►
8.22.3
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►For further information on , including zeros and uniform asymptotic approximations, see Kölbig (1970, 1972a) and Dunster (2006).
►The Debye functions
and are closely related to the incomplete Riemann zeta function and the Riemann zeta function.
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23: 35.10 Methods of Computation
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►For large the asymptotic approximations referred to in §35.7(iv) are available.
►Other methods include numerical quadrature applied to double and multiple integral representations.
See Yan (1992) for the and functions of matrix argument in the case , and Bingham et al. (1992) for Monte Carlo simulation on applied to a generalization of the integral (35.5.8).
►Koev and Edelman (2006) utilizes combinatorial identities for the zonal polynomials to develop computational algorithms for approximating the series expansion (35.8.1).
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24: 2.11 Remainder Terms; Stokes Phenomenon
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§2.11(i) Numerical Use of Asymptotic Expansions
… ► … ►§2.11(ii) Connection Formulas
… ►§2.11(iii) Exponentially-Improved Expansions
… ►§2.11(vi) Direct Numerical Transformations
…25: 29.16 Asymptotic Expansions
§29.16 Asymptotic Expansions
►Hargrave and Sleeman (1977) give asymptotic approximations for Lamé polynomials and their eigenvalues, including error bounds. The approximations for Lamé polynomials hold uniformly on the rectangle , , when and assume large real values. The approximating functions are exponential, trigonometric, and parabolic cylinder functions.26: 35.9 Applications
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►These references all use results related to the integral formulas (35.4.7) and (35.5.8).
►For applications of the integral representation (35.5.3) see McFarland and Richards (2001, 2002) (statistical estimation of misclassification probabilities for discriminating between multivariate normal populations).
The asymptotic approximations of §35.7(iv) are applied in numerous statistical contexts in Butler and Wood (2002).
►In chemistry, Wei and Eichinger (1993) expresses the probability density functions of macromolecules in terms of generalized hypergeometric functions of matrix argument, and develop asymptotic approximations for these density functions.
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27: 6.18 Methods of Computation
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►Zeros of and can be computed to high precision by Newton’s rule (§3.8(ii)), using values supplied by the asymptotic expansion (6.13.2) as initial approximations.
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28: 12.16 Mathematical Applications
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►PCFs are used as basic approximating functions in the theory of contour integrals with a coalescing saddle point and an algebraic singularity, and in the theory of differential equations with two coalescing turning points; see §§2.4(vi) and 2.8(vi).
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►In Brazel et al. (1992) exponential asymptotics are considered in connection with an eigenvalue problem involving PCFs.
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►Integral transforms and sampling expansions are considered in Jerri (1982).
29: 36.15 Methods of Computation
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►This can be carried out by direct numerical evaluation of canonical integrals along a finite segment of the real axis including all real critical points of , with contributions from the contour outside this range approximated by the first terms of an asymptotic series associated with the endpoints.
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