Stochastic Approximation: A Dynamical Systems Viewpoint Book + PRICE WATCH * Amazon pricing is not included in price watch

Stochastic Approximation: A Dynamical Systems Viewpoint Book

A toolkit for designing and analyzing algorithms, chosen and explained by an expert; applications to communication networks, artificial intelligence, econometrics.Read More

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  • Product 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.

  • 0521515920
  • 9780521515924
  • Vivek S. Borkar
  • 1 September 2008
  • Cambridge University Press
  • Hardcover (Book)
  • 176
  • 1
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