2015
DOI: 10.1016/j.jmaa.2014.12.014
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Multiple-correction and continued fraction approximation

Abstract: The main aim of this paper is to further develop a multiple-correction method formulated in a previous work [6]. As applications, we find a kind of hybrid-type finite continued fraction approximations in two cases of Landau constants and Lebesgue constants. In addition, we refine the previous results of Lu [29] and Xu and You [48] for the Euler-Mascheroni constant.

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Cited by 26 publications
(22 citation statements)
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“…the Euler-Mascheroni constant, the constants of Landau, the constants of Lebesgue, etc. (see [9]). However, in some cases the previous two approaches are not very efficient, for instance, the ratios of the gamma functions.…”
Section: The Mc-algorithm For Function Approximationmentioning
confidence: 96%
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“…the Euler-Mascheroni constant, the constants of Landau, the constants of Lebesgue, etc. (see [9]). However, in some cases the previous two approaches are not very efficient, for instance, the ratios of the gamma functions.…”
Section: The Mc-algorithm For Function Approximationmentioning
confidence: 96%
“…A large part of this section is taken from [11] which, in turn, follows from earlier works of Mortici [30] and Cao [9]. Let f (x) be a real function defined on (x 0 , +∞) to be approximated with lim x→+∞ f (x) = 0.…”
Section: The Mc-algorithm For Function Approximationmentioning
confidence: 99%
See 1 more Smart Citation
“…Motivated by the important work of Mortici [2] and Lu [1], in this paper we will continue our previous works [7][8][9][10], and apply the multiple-correction method to construct some new convergent sequences for Glaisher-Kinkelin's and BenderskyAdamchik's constants, which have faster rate of convergence. Moreover, we establish sharp bounds for the corresponding error terms.…”
Section: Introductionmentioning
confidence: 99%
“…Motivated by these works, in this paper we will apply the multiple-correction method [7,8,9] to construct an improved continued fraction asymptotic expansion for the Wallis ratio as follows:…”
Section: Introductionmentioning
confidence: 99%