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Part of the book series: Mathematics and Its Applications ((MAIA,volume 267))

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Abstract

We study the sequential iteration of an automata class defined by local rules evolving only to local extreme values. Under the symmetry assumption of the cellular space we determine a Lyapunov operator driving the automaton dynamics. This operator allows us to characterize the steady state as a set of fixed points and to give bounds for the transient phase.

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References

  1. W. Goddard and D.J. Kleitman, Convergence of a Transformation on a Weighted Graph.

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  2. E. Goles and S. Martinez, Neural and Automata Networks, Kluwer Academic Publishers, 1990.

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  3. E. Goles, Lyapunov Functionals Associated to Automata Networks, in Automata Networks in Computer Science, F. Fogelman, Y. Robert, M. Tchuente (eds), Manchester University Press, 1987, 58-81.

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  4. H.P. Kramer and J.B. Bruckner, Iterations of a Nonlinear Transformation for Enhancement of Digital Images, Pattern Recognition 7 (1975), 53–58.

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© 1993 Springer Science+Business Media Dordrecht

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Goles, E., Hernández, G. (1993). Sequential Iteration For Extremal Automata. In: Tirapegui, E., Zeller, W. (eds) Instabilities and Nonequilibrium Structures IV. Mathematics and Its Applications, vol 267. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-1906-1_14

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  • DOI: https://doi.org/10.1007/978-94-011-1906-1_14

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-4842-2

  • Online ISBN: 978-94-011-1906-1

  • eBook Packages: Springer Book Archive

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