布朗Gcd算法的分析

V. Berthé, Loïck Lhote, B. Vallée
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引用次数: 2

摘要

我们引入并研究了一种多gcd算法,它是普通欧几里得算法的自然扩展,并与欧几里得算法在两个条目上重合;它在第一大项和第二大项之间执行欧几里得除法,然后重新排序。这是由布朗提出的多维连分数算法的离散版本。我们对该算法进行了平均情况分析,并证明了该算法的平均步数与条目的大小成线性关系。该方法依赖于动力学分析,并以底层布朗动力系统的研究为基础。分析的主导常数与系统的熵有关。我们还将该算法与Knuth提出的欧几里得算法的另一个扩展进行了比较,作者已经对其进行了分析。
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Analysis of the Brun Gcd Algorithm
We introduce and study a multiple gcd algorithm that is a natural extension of the usual Euclid algorithm, and coincides with it for two entries; it performs Euclidean divisions, between the largest entry and the second largest entry, and then re-orderings. This is the discrete version of a multidimensional continued fraction algorithm due to Brun. We perform the average-case analysis of this algorithm, and prove that the mean number of steps is linear with respect to the size of the entry. The method relies on dynamical analysis, and is based on the study of the underlying Brun dynamical system. The dominant constant of the analysis is related to the entropy of the system. We also compare this algorithm to another extension of the Euclid algorithm, proposed by Knuth, and already analyzed by the authors.
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