A randomized stochastic optimization algorithm: Its estimation accuracy

Research output: Contribution to journal › Article › peer-review

Department of System Programming

Overview
Cite this

DOI

https://doi.org/10.1134/S0005117906040060
Final published version

AT Vakhitov
ON Granichin
SS Sysoev

For a randomized stochastic optimization algorithm, consistency conditions of estimates are slackened and the order of accuracy for a finite number of observations is studied. A new method of realization of this algorithm on quantum computers is developed.

Original language	English
Pages (from-to)	589-597
Number of pages	9
Journal	Automation and Remote Control
Volume	67
Issue number	4
DOIs	https://doi.org/10.1134/S0005117906040060
State	Published - 1 Jan 2006

Scopus subject areas

Control and Systems Engineering

Research areas

ARBITRARY NOISE, LINEAR-REGRESSION, APPROXIMATION

ID: 32480492