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Computing the gamma function using contour integrals and rational approximations. (English) Zbl 1153.65026
In general, the best methods for computing the gamma function are based on the evolution of Hankel’s contour integrals. In this paper, two types of generic related methods are investigated to evaluate the gamma functions with geometric accuracy. Firstly, the application of the trapezoid rule on Talbot-type contours using optimal parameters derived by {\it J.A.C. Weideman} [SIAM J. Numer. Anal. 44, No. 6, 2342-2362 (2006; Zbl 1131.65105)] for computing inverse Laplace transforms. Following {\it W. J. Cody}, {\it G. Meinardus} and {\it R. S. Varga} [J. Approximation Theory 2, 50--65 (1969; Zbl 0187.11602)], the authors also investigate quadrature formulas derived from best approximation to $\exp(z)$ on the negative real axis. The two methods are closely related, and both converge geometrically. These are competitive with existing ones, even though they are based on generic tools rather than on specific analysis of the gamma function. It is interesting that the second method is about twice as fast as the first, however, the first is simpler to implement as the construction of the best rational approximation is not trivial.

65D20Computation of special functions, construction of tables
33F05Numerical approximation and evaluation of special functions
33B15Gamma, beta and polygamma functions
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