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Sufficient and necessary condition for the convergence of stochastic approximation algorithms
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UNSPECIFIED (2006) Sufficient and necessary condition for the convergence of stochastic approximation algorithms. STATISTICS & PROBABILITY LETTERS, 76 (2). pp. 203-210. doi:10.1016/j.spl.2005.07.020 ISSN 0167-7152.
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Official URL: http://dx.doi.org/10.1016/j.spl.2005.07.020
Abstract
We present a sufficient and necessary condition for the convergence of stochastic approximation algorithms, which were proposed 50 years ago, have been widely applied to various areas and intensively investigated in theory. In the literature, only various sufficient conditions are known. The obtained condition is simple and has a clear physical meaning. (C) 2005 Elsevier B.V. All rights reserved.
Item Type: | Journal Article | ||||
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Subjects: | Q Science > QA Mathematics | ||||
Journal or Publication Title: | STATISTICS & PROBABILITY LETTERS | ||||
Publisher: | ELSEVIER SCIENCE BV | ||||
ISSN: | 0167-7152 | ||||
Official Date: | 15 January 2006 | ||||
Dates: |
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Volume: | 76 | ||||
Number: | 2 | ||||
Number of Pages: | 8 | ||||
Page Range: | pp. 203-210 | ||||
DOI: | 10.1016/j.spl.2005.07.020 | ||||
Publication Status: | Published |
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