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About Algorithm of Smooth Numbers Calculation

机译:关于平滑数计算算法

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An integer n>0 is called y-smooth if p≤y condition is performed for every prime divisor. If the boundary y is considerably smaller than the number n, then such a number is the product of a large number of small prime factors (it is a smooth one) as opposed to simple numbers which are not decomposable into simpler factors. Smooth numbers play an important role in the theory of numbers and cryptography. In particular, the fastest modern algorithm of integer factorization (decomposition into a product of prime factors) is based on the idea of a large number of y-smooth numbers finding where y is the boundary of the so-called factor base which is much less than factorisable number n. Let?s denote the number of y-smooth numbers via ψ(x, y) within the interval from 1 to x. The calculation of ψ(x, y) function is a complex computational problem, therefore, the researchers proposed various algorithms for the approximate calculation of this function for different ratios of the argument values. In this study, we describe a new polynomial algorithm for the approximation of ψ(x, y) function concerning the number of y-smooth numbers within the interval from 1 to x. The algorithm is based on the formula of Euler-Maclaurin summation and provides a sufficiently high level of accuracy. The study shows the experimental data for the calculation of smooth numbers number for the argument x≤1025 and y≤log x.
机译:如果对每个素数因子执行p≤y条件,则整数n> 0称为y平滑。如果边界y显着小于数字n,则该数字是大量小质数因子(是一个平滑的素数)的乘积,而不是不可分解为简单因数的简单数。平滑数字在数字和密码学理论中起着重要作用。特别是,最快的现代整数分解算法(分解为素因子的乘积)是基于大量y平滑数的思想,其中y是所谓的因子库的边界,而y的边界要小得多比可分解数n让我们通过ψ(x,y)表示从1到x的区间内的y光滑数的数量。 ψ(x,y)函数的计算是一个复杂的计算问题,因此,研究人员针对各种参数值比率提出了各种算法来对该函数进行近似计算。在这项研究中,我们描述了一种新的多项式算法,用于近似ψ(x,y)函数,该函数涉及从1到x的区间内的y平滑数的数量。该算法基于Euler-Maclaurin求和公式,并提供足够高的准确性。研究显示了参数x≤1025和y≤logx的光滑数计算的实验数据。

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