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Laws of large numbers for the annealing algorithm

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  • Gantert, Nina

Abstract

In this paper we establish a weak and a strong law of large numbers for the algorithm of simulated annealing. To this end, we recall laws of large numbers for time-inhomogeneous Markov chains which are formulated in terms of Dobrushin's contraction coefficients, and we show how they lead to corresponding cooling constants in the annealing algorithm.

Suggested Citation

  • Gantert, Nina, 1990. "Laws of large numbers for the annealing algorithm," Stochastic Processes and their Applications, Elsevier, vol. 35(2), pages 309-313, August.
    • Handle: RePEc:eee:spapps:v:35:y:1990:i:2:p:309-313
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    Cited by:

    1. Zach Dietz & William Lippitt & Sunder Sethuraman, 2023. "Stick-Breaking processes, Clumping, and Markov Chain Occupation Laws," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 85(1), pages 129-171, February.
    2. Miclo, Laurent, 1995. "Remarques sur l'ergodicité des algorithmes de recuit simulé sur un graphe," Stochastic Processes and their Applications, Elsevier, vol. 58(2), pages 329-360, August.
    3. János Engländer & Stanislav Volkov, 2018. "Turning a Coin over Instead of Tossing It," Journal of Theoretical Probability, Springer, vol. 31(2), pages 1097-1118, June.

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