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Fast bounds on the distribution of smooth numbers

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Improvements to Bernstein’s algorithm are presented, which finds rigorous upper and lower bounds for Ψ(x,y), the number of integers n≤x with P(n)≤y, which is the largest prime divisor of n.
Abstract
Let P(n) denote the largest prime divisor of n, and let Ψ(x,y) be the number of integers n≤x with P(n)≤y. In this paper we present improvements to Bernstein’s algorithm, which finds rigorous upper and lower bounds for Ψ(x,y). Bernstein’s original algorithm runs in time roughly linear in y. Our first, easy improvement runs in time roughly y2/3. Then, assuming the Riemann Hypothesis, we show how to drastically improve this. In particular, if logy is a fractional power of logx, which is true in applications to factoring and cryptography, then our new algorithm has a running time that is polynomial in logy, and gives bounds as tight as, and often tighter than, Bernstein’s algorithm.

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References
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Book

Handbook of Applied Cryptography

TL;DR: A valuable reference for the novice as well as for the expert who needs a wider scope of coverage within the area of cryptography, this book provides easy and rapid access of information and includes more than 200 algorithms and protocols.
Book

Prime Numbers: A Computational Perspective

TL;DR: In this paper, the authors concentrate on the computational aspects of prime numbers, such as recognizing primes and discovering the fundamental prime factors of a given number, and present over 100 explicit algorithms cast in detailed pseudocode.
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In this paper the authors present improvements to Bernstein ’ s algorithm, which finds rigorous upper and lower bounds for Ψ ( x, y ). Then, assuming the Riemann Hypothesis, the authors show how to drastically improve this.