ENGLISH

Stochastic Approximation: A Dynamical Systems Viewpoint

Book information

Year
2008
ISBN
0521515920, 9780521515924
LCC
QA274.2 .B67 2008
Open Library ID
OL23536532M
Language
english
Format
PDF
Filesize
824 kB (844228 bytes)
Edition
1
Pages
176\173
Time added
2011-06-04 13:46:07

Description

This simple, compact toolkit for designing and analyzing stochastic approximation algorithms requires only a basic understanding of probability and differential equations. Although powerful, these algorithms have applications in control and communications engineering, artificial intelligence and economic modeling. Unique topics include finite-time behavior, multiple timescales and asynchronous implementation. There is a useful plethora of applications, each with concrete examples from engineering and economics. Notably it covers variants of stochastic gradient-based optimization schemes, fixed-point solvers, which are commonplace in learning algorithms for approximate dynamic programming, and some models of collective behavior.

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