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Stochastic Approximation

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  • 164 Seiten
  • 6 Lesestunden

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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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Stochastic Approximation, Vivek S. Borkar

Sprache
Erscheinungsdatum
2008
Einband
(Hardcover)
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Titel
Stochastic Approximation
Sprache
Englisch
Autor*innen
Vivek S. Borkar
Einband
Hardcover
Seitenzahl
164
ISBN10
0521515920
ISBN13
9780521515924
Reihe
Bewertung
4 von 5 Sternen
Beschreibung
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.