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On bayesian methods for seeking the extremum

  • J. Močkus
Mathematical Programming And Numerical Algorithms
Part of the Lecture Notes in Computer Science book series (LNCS, volume 27)

References

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    J. Mockus. On a Bayesian method for seeking an extremum. Automatika i vychislitelnaja tekhnika, N 3, 1972.Google Scholar
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    J. Mockus. On the Bayesian methods of optimization. In "Minimization Algorithms and Dynamic Systems" ed. by G. Szego and L. Dixon. North-Holland Publ., Amsterdam (in print).Google Scholar
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    V. Šaltenis. On a method of multiextremal optimization. Automatika i vychislitelnaja tekhnika, N 3, 1973.Google Scholar
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    A. Žilinskas and J. Mockus. On a Bayes method for seeking an extremum. Automatika i vychislitelnaja tekhnika, N 3, 1972.Google Scholar
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    L.A. Rastrigin. The stochastic methods of search. Nauka, Moscow, 1968.Google Scholar
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    A. Žilinskas. One-stage Bayesian method for unidimensional search. Preprint N 663–74. VINITI, Moscow, 1974.Google Scholar
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    L. Telksnys and V. Šaltenis. The application of multiextremal methods to the problem of estimation of parameters of random signals. Proc. 5th Conf. on extremal problems. Gorkij (in print).Google Scholar
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    A. Ališauskas, A. Lipskis, A. Mačiulis, V. Šaltenis. The application of multiextremal optimization to the planning of experiments for the development of high temperature — resistant polymeric compositions. Proc. 9th Seminar on the stochastic search. Kharkov (in print).Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1975

Authors and Affiliations

  • J. Močkus
    • 1
  1. 1.Institute of Physics and Mathematics Academy of Sciences Lithuanian SSRVilniusUSSR

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