A square root algorithm faster than Newton's method for multiprecision numbers, using floating-point arithmetic

Fuente: arXiv
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Auteur principal: Romano, Fabio
Format: Preprint
Publié: 2024
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author Romano, Fabio
author_facet Romano, Fabio
contents In this paper, an optimized version of classical Bombelli's algorithm for computing integer square roots is presented. In particular, floating-point arithmetic is used to compute the initial guess of each digit of the root, following similar ideas to those used in "The Art of Computer Programming" Vol. 2, p. 4.3.1 for division. A program with an implementation of the algorithm in Java is also presented, and its running time is compared with that of the algorithm provided by the Java standard library, which uses the Newton's method. From tests, the algorithm presented here turns out to be much faster.
format Preprint
id arxiv_https___arxiv_org_abs_2406_07751
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A square root algorithm faster than Newton's method for multiprecision numbers, using floating-point arithmetic
Romano, Fabio
Mathematical Software
Data Structures and Algorithms
Numerical Analysis
In this paper, an optimized version of classical Bombelli's algorithm for computing integer square roots is presented. In particular, floating-point arithmetic is used to compute the initial guess of each digit of the root, following similar ideas to those used in "The Art of Computer Programming" Vol. 2, p. 4.3.1 for division. A program with an implementation of the algorithm in Java is also presented, and its running time is compared with that of the algorithm provided by the Java standard library, which uses the Newton's method. From tests, the algorithm presented here turns out to be much faster.
title A square root algorithm faster than Newton's method for multiprecision numbers, using floating-point arithmetic
topic Mathematical Software
Data Structures and Algorithms
Numerical Analysis
url https://arxiv.org/abs/2406.07751