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1 \documentclass{ita}
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11 \usepackage{algorithm2e}
12 \usepackage{epstopdf}
13 %\usepackage{ntheorem}
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83
84 \title{Random Walk in a N-cube Without Hamiltonian Cycle 
85   to Chaotic Pseudorandom Number Generation: Theoretical and Practical 
86   Considerations}
87
88 \begin{document}
89
90 \author{Sylvain Contassot-Vivier, Jean-François Couchot, Christophe Guyeux, Pierre-Cyrille Heam}
91 \address{LORIA, Université de Lorraine, Nancy, France\\
92 FEMTO-ST Institute, University of Franche-Comté, Belfort, France}
93
94 \keywords{Pseudorandom Number Generator, Theory of Chaos, Markov Matrice, Hamiltonian Path,  Stopping Time, Statistical Test}
95
96 \subjclass{34C28, 37A25,11K45}
97
98 \begin{abstract}
99 This paper is dedicated to the design of chaotic random generators
100 and extends previous works proposed by some of the authors.
101 We propose a theoretical framework proving both the chaotic properties and
102 that the limit distribution is uniform.
103 A theoretical bound on the stationary time is given and
104 practical experiments show that the generators successfully pass
105 the classical statistical tests.
106 \end{abstract}
107
108 \maketitle
109
110 \section{Introduction}
111 \input{intro}
112
113 \section{Preliminaries}\label{sec:preliminaries}
114 \input{preliminaries}
115
116 \section{Proof Of Chaos}\label{sec:proofOfChaos}
117 \input{chaos}
118
119 \section{Functions with Strongly Connected $\Gamma_{\{b\}}(f)$}\label{sec:SCCfunc}
120 \input{generating}
121
122 \section{Balanced Hamiltonian Cycle}\label{sec:hamilton}
123 \input{hamilton}
124
125
126 \section{Stopping Time}\label{sec:hypercube}
127 \input{stopping}
128
129 \section{Experiments}\label{sec:prng}
130 \input{prng}
131
132
133
134 \section{Conclusion}
135 \input{conclusion}
136
137 %\acknowledgements{...}
138
139 \bibliographystyle{alpha}
140 \bibliography{biblio}
141
142 \end{document}
143
144 %%% Local Variables:
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