Bharath, B and Borkar, VS (1999) Stochastic approximation algorithms: Overview and recent trends. In: Sadhana, 24 (Part 4). pp. 425-452.
Stochastic approximation is a common paradigm for many stochastic recursions arising both as algorithms and as models of some stochastic dynamic phenomena. This article gives an overview of the known results about their asymptotic behaviour, highlights recent developments such as distributed and multiscale algorithms, and describes existing and potential applications, and other related issues.
|Item Type:||Journal Article|
|Additional Information:||The copyright belongs to Indian Academy of Sciences.|
|Keywords:||Stochastic approximation;asymptotic convergence;stochastic optimization;learning algorithms|
|Department/Centre:||Division of Electrical Sciences > Electrical Communication Engineering
Division of Electrical Sciences > Computer Science & Automation (Formerly, School of Automation)
|Date Deposited:||07 Dec 2004|
|Last Modified:||19 Sep 2010 04:15|
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