2015
DOI: 10.1016/j.amc.2015.06.048
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Crandall’s computation of the incomplete Gamma function and the Hurwitz zeta function, with applications to Dirichlet L-series

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Cited by 12 publications
(17 citation statements)
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References 19 publications
(29 reference statements)
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“…This need spurred the late Richard Crandall to compile a set of unified and rapidly convergent algorithms (some new, some gleaned from existing literature) for a variety of special functions, fitted for practical implementation and efficient for very high-precision computation [27]. Crandall's work has been in part described and extended by the current authors in [7]. Since, as we have illustrated, the polylogarithms and their relatives are central to a great deal of mathematics and mathematical physics [4,21,31], such an effort is bound to pay off in the near future.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…This need spurred the late Richard Crandall to compile a set of unified and rapidly convergent algorithms (some new, some gleaned from existing literature) for a variety of special functions, fitted for practical implementation and efficient for very high-precision computation [27]. Crandall's work has been in part described and extended by the current authors in [7]. Since, as we have illustrated, the polylogarithms and their relatives are central to a great deal of mathematics and mathematical physics [4,21,31], such an effort is bound to pay off in the near future.…”
Section: Resultsmentioning
confidence: 99%
“…These approaches are extended to character polylogarithms in [6]. Some related results and computational algorithms for the incomplete gamma function, the Hurwitz zeta function, and the Dirichlet L-series are presented in [7].…”
Section: Introductionmentioning
confidence: 99%
“…As pointed out in [1] and discussed later (see Section 3), this series proves to be very useful computationally. In this form the series cannot be applied when a = −n, n = 1, 2, .…”
Section: Series Expansionmentioning
confidence: 99%
“…where we assume that a > 0 and x ≥ 0, and Γ(a) = ∞ 0 t a−1 exp(−t)dt is the wellknown Gamma function. The problem of inverting functions Q(a, x) and P (a, x) is one of the central problems in statistical analysis and applied probability, with various applications [8,2].…”
Section: The Regularized Upper and Lower Incomplete Gamma Functions Amentioning
confidence: 99%