An Algorithm for Ennola's Second Theorem and Counting Smooth Numbers in Practice

August 02, 2022 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Chloe Makdad, Jonathan P. Sorenson arXiv ID 2208.01725 Category math.NT Cross-listed cs.DS Citations 0 Venue arXiv.org Last Checked 1 month ago
Abstract
Let $Ξ¨(x,y)$ count the number of positive integers $n\le x$ such that every prime divisor of $n$ is at most $y$. Given inputs $x$ and $y$, what is the best way to estimate $Ξ¨(x,y)$? We address this problem in three ways: with a new algorithm to estimate $Ξ¨(x,y)$, with a performance improvement to an established algorithm, and with empirically based advice on how to choose an algorithm to estimate $Ξ¨$ for the given inputs. Our new algorithm to estimate $Ξ¨(x,y)$ is based on Ennola's second theorem [Ennola69], which applies when $y< (\log x)^{3/4-Ξ΅}$ for $Ξ΅>0$. It takes $O(y^2/\log y)$ arithmetic operations of precomputation and $O(y\log y)$ operations per evaluation of $Ξ¨$. We show how to speed up Algorithm HT, which is based on the saddle-point method of Hildebrand and Tenenbaum [1986], by a factor proportional to $\log\log x$, by applying Newton's method in a new way. And finally we give our empirical advice based on five algorithms to compute estimates for $Ξ¨(x,y)$.The challenge here is that the boundaries of the ranges of applicability, as given in theorems, often include unknown constants or small values of $Ξ΅>0$, for example, that cannot be programmed directly.
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