Stochastic Approximation: A Dynamical Systems Viewpoint

  • Publish Date: 2008-09-01
  • Binding: Hardcover
  • Author: Vivek S. Borkar
  • Sale
  • $94.89
  • Regular price $81.86

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.