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Avtomatika i Telemekhanika, 1978, Issue 6, Pages 56–66
(Mi at9749)
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Adaptive Systems
Non-Markov algorithms for statistical optimization with continuous time. II
O. Yu. Kulchitskii Leningrad
Abstract:
A procedure is proposed for estimating the convergence rates of statistical optimization algorithms with continuous time of non-Markov type. Estimates of convergence rate asymptotic as $t\to\infty$ of such Robbins — Monro, Keefer — Wolfowitz, and random search algorithms.
Received: 12.05.1977
Citation:
O. Yu. Kulchitskii, “Non-Markov algorithms for statistical optimization with continuous time. II”, Avtomat. i Telemekh., 1978, no. 6, 56–66; Autom. Remote Control, 39:6 (1978), 823–832
Linking options:
https://www.mathnet.ru/eng/at9749 https://www.mathnet.ru/eng/at/y1978/i6/p56
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Abstract page: | 121 | Full-text PDF : | 37 |
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