11,471 research outputs found

    Computing solutions of the modified Bessel differential equation for imaginary orders and positive arguments

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    We describe a variety of methods to compute the functions Kia(x)K_{ia}(x), Lia(x)L_{ia}(x) and their derivatives for real aa and positive xx. These functions are numerically satisfactory independent solutions of the differential equation x2wβ€²β€²+xwβ€²+(a2βˆ’x2)w=0x^2 w'' +x w' +(a^2 -x^2)w=0. In an accompanying paper (Algorithm xxx: Modified Bessel functions of imaginary order and positive argument) we describe the implementation of these methods in Fortran 77 codes.Comment: 14 pages, 1 figure. To appear in ACM T. Math. Sof

    On the computation of moments of the partial non-central chi-squared distribution function

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    Properties satisfied by the moments of the partial non-central chi-square distribution function, also known as Nuttall Q-functions, and methods for computing these moments are discussed in this paper. The Nuttall Q-function is involved in the study of a variety of problems in different fields, as for example digital communications.Comment: 6 page

    Computation of the Marcum Q-function

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    Methods and an algorithm for computing the generalized Marcum Qβˆ’Q-function (QΞΌ(x,y)Q_{\mu}(x,y)) and the complementary function (PΞΌ(x,y)P_{\mu}(x,y)) are described. These functions appear in problems of different technical and scientific areas such as, for example, radar detection and communications, statistics and probability theory, where they are called the non-central chi-square or the non central gamma cumulative distribution functions. The algorithm for computing the Marcum functions combines different methods of evaluation in different regions: series expansions, integral representations, asymptotic expansions, and use of three-term homogeneous recurrence relations. A relative accuracy close to 10βˆ’1210^{-12} can be obtained in the parameter region (x,y,ΞΌ)∈[0, A]Γ—[0, A]Γ—[1, A](x,y,\mu) \in [0,\,A]\times [0,\,A]\times [1,\,A], A=200A=200, while for larger parameters the accuracy decreases (close to 10βˆ’1110^{-11} for A=1000A=1000 and close to 5Γ—10βˆ’115\times 10^{-11} for A=10000A=10000).Comment: Accepted for publication in ACM Trans. Math. Soft

    Asymptotic approximations to the nodes and weights of Gauss-Hermite and Gauss-Laguerre quadratures

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    Asymptotic approximations to the zeros of Hermite and Laguerre polynomials are given, together with methods for obtaining the coefficients in the expansions. These approximations can be used as a standalone method of computation of Gaussian quadratures for high enough degrees, with Gaussian weights computed from asymptotic approximations for the orthogonal polynomials. We provide numerical evidence showing that for degrees greater than 100100 the asymptotic methods are enough for a double precision accuracy computation (1515-1616 digits) of the nodes and weights of the Gauss--Hermite and Gauss--Laguerre quadratures.Comment: Submitted to Studies in Applied Mathematic

    On Non-Oscillating Integrals for Computing Inhomogeneous Airy Functions

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    Integral representations are considered of solutions of the inhomogeneous Airy differential equation wβ€²β€²βˆ’zw=Β±1/Ο€w''-z w=\pm1/\pi. The solutions of these equations are also known as Scorer functions. Certain functional relations for these functions are used to confine the discussion to one function and to a certain sector in the complex plane. By using steepest descent methods from asymptotics, the standard integral representations of the Scorer functions are modified in order to obtain non-oscillating integrals for complex values of zz. In this way stable representations for numerical evaluations of the functions are obtained. The methods are illustrated with numerical results.Comment: 12 pages, 5 figure

    Integral Representations for Computing Real Parabolic Cylinder Functions

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    Integral representations are derived for the parabolic cylinder functions U(a,x)U(a,x), V(a,x)V(a,x) and W(a,x)W(a,x) and their derivatives. The new integrals will be used in numerical algorithms based on quadrature. They follow from contour integrals in the complex plane, by using methods from asymptotic analysis (saddle point and steepest descent methods), and are stable starting points for evaluating the functions U(a,x)U(a,x), V(a,x)V(a,x) and W(a,x)W(a,x) and their derivatives by quadrature rules. In particular, the new representations can be used for large parameter cases. Relations of the integral representations with uniform asymptotic expansions are also given. The algorithms will be given in a future paper.Comment: 31 pages, 3 figures. To appear in Numer. Mat
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