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On Bayesian Methods for Seeking the Extremum

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Optimization Techniques IFIP Technical Conference

Part of the book series: Lecture Notes in Computer Science ((LNCIS))

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Abstract

Many well known methods for seeking the extremum had been developed on the basis of quadratic approximation.

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References

  1. J., Mockus. On a Bayesian method for seeking an extremum. Automatika i vychislitelnaja tekhnika, N 3, 1972.

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  2. 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).

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  3. V. šaltenis. On a method of multiextremal optimization. Automatika i vychislitelnaja tekhnika, N 3, 1973.

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  4. A. Žilinskas and J. Mockus. On a Bayes method for seeking an extremum. Automatika i vychislitelnaja tekhnika, N 3, 1972.

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  5. L.A. Rastrigin. The stochastic methods of search. Nauka, Moscow, 1968.

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  6. A. Žilinskas. One-stage Bayesian method for unidimensional search. Preprint N 663–74. VINITI, Moscow, 1974.

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  7. 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).

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  8. A. Ališauskas, A. Lipskis, A. MaSiulis, 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 

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Authors and Affiliations

  1. Institute of Physics and Mathematics, Academy of Sciences Lithuanian SSR, Vilnius, USSR

    J. Močkus

Authors
  1. J. Močkus
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Editor information

Editors and Affiliations

  1. Computer Center, 630090, Novosibirsk, USSR

    G. I. Marchuk

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© 1975 Springer-Verlag Berlin Heidelberg

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Močkus, J. (1975). On Bayesian Methods for Seeking the Extremum. In: Marchuk, G.I. (eds) Optimization Techniques IFIP Technical Conference. Lecture Notes in Computer Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-38527-2_55

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  • DOI: https://doi.org/10.1007/978-3-662-38527-2_55

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-37713-0

  • Online ISBN: 978-3-662-38527-2

  • eBook Packages: Springer Book Archive

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