We studt in this thesis algorithms designed for gcd computations. We perform probabilistic analyses of many of these algorithms: the alpha-euclidean algorithms, the LSB algorithm and the Lehmer-Euclid algorithm. We obtain precise results on the average behavior of an entire family of parameters, which contains the number of iterations and the bit-complexity. We use the techniques of Dynamical Analysis of Alogirhtms, and the analyses performed in the thesis extend the range of application of this methodology. In particular, we study dynamical system with non surjective branches, dynamical systems defined on the set of p-adic numbers or systems of iterated functions. These analyses are based on a precise study of the Perron-Frobenius operator...
We provide sharp estimates for the probabilistic behaviour of the main parameters of the Euclid algo...
Abstract. We provide sharp estimates for the probabilistic behaviour of the main parameters of the E...
AbstractWe develop a general framework for the analysis of algorithms of a broad Euclidean type. The...
We studt in this thesis algorithms designed for gcd computations. We perform probabilistic analyses ...
We studt in this thesis algorithms designed for gcd computations. We perform probabilistic analyses ...
This thesis deals with two main algorithmical domains: Data Mining and Arithmetical computations. In...
This thesis deals with two main algorithmical domains: Data Mining and Arithmetical computations. In...
This paper provides a probabilistic analysis of an algorithm which computes the gcd of inputs (with...
There exist fast variants of the gcd algorithm which are all based on principles due to Knuth and Sc...
Abstract. We provide sharp estimates for the probabilistic behaviour of the main parameters of the E...
International audienceThe paper provides a probabilistic analysis of an algorithmwhich computes the ...
International audienceThe paper provides a probabilistic analysis of an algorithmwhich computes the ...
International audienceThere exist fast variants of the gcd algorithm which are all based on principl...
International audienceWe study a general class of Euclidean algorithms which compute the greatest co...
International audienceThere exist fast variants of the gcd algorithm which are all based on principl...
We provide sharp estimates for the probabilistic behaviour of the main parameters of the Euclid algo...
Abstract. We provide sharp estimates for the probabilistic behaviour of the main parameters of the E...
AbstractWe develop a general framework for the analysis of algorithms of a broad Euclidean type. The...
We studt in this thesis algorithms designed for gcd computations. We perform probabilistic analyses ...
We studt in this thesis algorithms designed for gcd computations. We perform probabilistic analyses ...
This thesis deals with two main algorithmical domains: Data Mining and Arithmetical computations. In...
This thesis deals with two main algorithmical domains: Data Mining and Arithmetical computations. In...
This paper provides a probabilistic analysis of an algorithm which computes the gcd of inputs (with...
There exist fast variants of the gcd algorithm which are all based on principles due to Knuth and Sc...
Abstract. We provide sharp estimates for the probabilistic behaviour of the main parameters of the E...
International audienceThe paper provides a probabilistic analysis of an algorithmwhich computes the ...
International audienceThe paper provides a probabilistic analysis of an algorithmwhich computes the ...
International audienceThere exist fast variants of the gcd algorithm which are all based on principl...
International audienceWe study a general class of Euclidean algorithms which compute the greatest co...
International audienceThere exist fast variants of the gcd algorithm which are all based on principl...
We provide sharp estimates for the probabilistic behaviour of the main parameters of the Euclid algo...
Abstract. We provide sharp estimates for the probabilistic behaviour of the main parameters of the E...
AbstractWe develop a general framework for the analysis of algorithms of a broad Euclidean type. The...