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1 \documentclass{ita}
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7 \usepackage{stmaryrd}
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11 \usepackage{algorithm2e}
12 \usepackage{epstopdf}
13 %\usepackage{ntheorem}
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81
82
83 \title{Random Walk in a N-cube Without Hamiltonian Cycle 
84   to Chaotic Pseudorandom Number Generation: Theoretical and Practical 
85   Considerations}
86
87 \begin{document}
88
89 \author{Sylvain Contassot-Vivier, Jean-François Couchot, Christophe Guyeux, Pierre-Cyrille Heam}
90 \address{LORIA, Université de Lorraine, Nancy, France\\
91 FEMTO-ST Institute, University of Franche-Comté, Belfort, France}
92
93 \keywords{Pseudorandom Number Generator, Theory of Chaos, Markov Matrice, Hamiltonian Path,  Stopping Time, Statistical Test}
94
95 \subjclass{34C28, 37A25,11K45}
96
97 \begin{abstract}
98 This paper is dedicated to the design of chaotic random generators
99 and extends previous works proposed by some of the authors.
100 We propose a theoretical framework proving both the chaotic properties and
101 that the limit distribution is uniform.
102 A theoretical bound on the stationary time is given and
103 practical experiments show that the generators successfully pass
104 the classical statistical tests.
105 \end{abstract}
106
107 \maketitle
108
109 \section{Introduction}
110 \input{intro}
111
112 \section{Preliminaries}\label{sec:preliminaries}
113 \input{preliminaries}
114
115 \section{Proof Of Chaos}\label{sec:proofOfChaos}
116 \input{chaos}
117
118 \section{Functions with Strongly Connected $\Gamma_{\{b\}}(f)$}\label{sec:SCCfunc}
119 \input{generating}
120
121 \section{Balanced Hamiltonian Cycle}\label{sec:hamilton}
122 \input{hamilton}
123
124
125 \section{Stopping Time}\label{sec:hypercube}
126 \input{stopping}
127
128 \section{Experiments}\label{sec:prng}
129 \input{prng}
130
131
132
133 \section{Conclusion}
134 \input{conclusion}
135
136 %\acknowledgements{...}
137
138 \bibliographystyle{alpha}
139 \bibliography{biblio}
140
141 \end{document}