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Adaptive step adjustment for a stochastic optimization algorithm

Research output: Contribution to journalArticlepeer-review

Abstract

The quasigradient algorithm of stochastic optimization is considered. The conditions to be imposed on the step multiplier, for Cesaro convergence of the algorithms with probability 1, are studied. Adaptive step adjustment is proposed, and the convergence of the corresponding algorithm is proved. A numerical algorithm containing heuristic elements is described. The results of numerical experiments are quoted.

Original languageEnglish
Pages (from-to)20-27
Number of pages8
JournalUSSR Computational Mathematics and Mathematical Physics
Volume23
Issue number6
DOIs
StatePublished - 1983

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