X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/rairo15.git/blobdiff_plain/17bd6f6df9a94a46128919486c226ae8b1124740..HEAD:/main.tex diff --git a/main.tex b/main.tex index efbc870..465fbf5 100644 --- a/main.tex +++ b/main.tex @@ -1,15 +1,18 @@ \documentclass{ita} \usepackage{graphicx} +\usepackage{caption} +\usepackage{subcaption} + \usepackage{dsfont} \usepackage{stmaryrd} -\usepackage[font=footnotesize]{subfig} +%\usepackage[font=footnotesize]{subfig} \usepackage{ifthen} \usepackage{color} \usepackage{algorithm2e} \usepackage{epstopdf} +%\usepackage{ntheorem} - -\usepackage[latin1]{inputenc} +\usepackage[utf8]{inputenc} \usepackage[T1]{fontenc} \usepackage[english]{babel} \usepackage{amsmath,amssymb,latexsym,eufrak,euscript} @@ -28,7 +31,7 @@ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% -% Définitions personnelles +% Définitions personnelles %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \definecolor{bleuclair}{rgb}{0.75,0.75,1.0} @@ -55,22 +58,7 @@ \def \ts {\tau_{\rm stop}} -% \theoremstyle{plain} -% \theoremheaderfont{\normalfont\bfseries\sc} -% \theorembodyfont{\slshape} -% \theoremsymbol{\ensuremath{\diamondsuit}} -% \theoremprework{\bigskip} -% \theoremseparator{.} -\newtheorem{Def}{\underline{Definition}} -\newtheorem{Lemma}{\underline{Lemma}} -\newtheorem{Theo}{\underline{Theorem}} -% \theoremheaderfont{\sc} -% \theorembodyfont{\upshape} -% \theoremstyle{nonumberplain} -% \theoremseparator{} -% \theoremsymbol{\rule{1ex}{1ex}} -\newtheorem{Proof}{Proof} -\newtheorem{xpl}{Running Example} +\newtheorem*{xpl}{Running Example} \newcommand{\vectornorm}[1]{\ensuremath{\left|\left|#1\right|\right|_2}} %\newcommand{\ie}{\textit{i.e.}} @@ -92,62 +80,57 @@ -\title{XXX} +\title{Random Walk in a N-cube Without Hamiltonian Cycle + to Chaotic Pseudorandom Number Generation: Theoretical and Practical + Considerations} \begin{document} -\author{Jean-François Couchot, Christophe Guyeux, Pierre-Cyrile Heam} -\address{Institut FEMTO-ST, Université de Franche-Comté, Belfort, France} +\author{Jean-François Couchot, Christophe Guyeux, Pierre-Cyrille Heam} +\address{FEMTO-ST Institute, University of Franche-Comté, Belfort, France} -\author{Sylvain Contassot-Vivier} -\address{Loria - UMR 7503, Université de Lorraine, Nancy, France} +\keywords{Pseudorandom Number Generator, Theory of Chaos, Markov Matrice, Hamiltonian Path, Mixing Time, Stopping Time, Statistical Test} -\date{...} +\subjclass{34C28, 37A25,11K45} \begin{abstract} -This paper extends the results presented in~\cite{bcgr11ip} -and~\cite{chgw14oip} by using the \emph{chaotic} updating mode, in the sense -of F. Robert~\cite{Robert}. In this mode, several components of the system -may be updated at each iteration. At the theoretical level, we show that - the properties of chaos and uniformity of the obtained PRNG are preserved. - At the practical level, we show that the algorithm that builds strongly - connected iteration graphs, with doubly stochastic Markov matrix, has a - reduced mixing time. +This paper is dedicated to the design of chaotic random generators +and extends previous works proposed by some of the authors. +We propose a theoretical framework proving both the chaotic properties and +that the limit distribution is uniform. +A theoretical bound on the stationary time is given and +practical experiments show that the generators successfully pass +the classical statistical tests. \end{abstract} +\maketitle + \section{Introduction} -%\input{intro} +\input{intro} \section{\uppercase{Preliminaries}}\label{sec:preliminaries} \input{preliminaries} +\section{Proof Of Chaos}\label{sec:proofOfChaos} +\input{chaos} -\section{Proof Of Chaos} - - +\section{Functions with Strongly Connected $\Gamma_{\{b\}}(f)$}\label{sec:SCCfunc} +\input{generating} -\section{Stopping Time} +\section{Stopping Time}\label{sec:hypercube} \input{stopping} -% Donner la borne du stopping time quand on marche dedans (nouveau). -% Énoncer le problème de la taille de cette borne (elle est certes finie, mais grande). +\section{Experiments}\label{sec:prng} +\input{prng} - -\section{Quality study of the strategy} -%6) Se pose alors la question de comment générer une stratégie de "bonne qualité". Par exemple, combien de générateurs aléatoires embarquer ? (nouveau) - - -\section{Expérimentations} -% - \section{Conclusion} -%\input{conclusion} +\input{conclusion} %\acknowledgements{...} - +\bibliographystyle{alpha} \bibliography{biblio} \end{document}