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JOURNALS // Problemy Upravleniya // Archive

Probl. Upr., 2003 Issue 4, Pages 11–15 (Mi pu579)

This article is cited in 5 papers

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Multivariant analysis and stochastic optimization using parallel processing techniques

O. V. Abramov, Ya. V. Katueva

Institute for Automation and Control Processes, Far Eastern Branch of the Russian Academy of Sciences

Abstract: The problem of choosing optimal parameter values for analog devices and systems is considered. Special attention is paid to the algorithms that reduce the computation cost of optimization problem. Several parallel techniques for multivariate analysis and stochastic optimization are discussed.

UDC: 681.5.015.63-192



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