The book presents a thorough development of the modern theory of stochastic approximation or recursive stochastic algorithms for both constrained and unconstrained problems. There is a complete development of both probability one and weak convergence methods for very general noise processes. The p
Stochastic Approximation and Recursive Algorithms and Applications Applications of Mathematics ; 35
โ Scribed by Kushner H.J., Yin G.
- Publisher
- Springer Science & Business Media
- Year
- 2003
- Tongue
- English
- Leaves
- 484
- Category
- Library
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
<p><P></P><P>This revised and expanded second edition presents a thorough development of the modern theory of stochastic approximation or recursive stochastic algorithms for both constrained and unconstrained problems. There is a complete development of both probability one and weak convergence meth
This book presents a thorough development of the modern theory of stochastic approximation or recursive stochastic algorithms for both constrained and unconstrained problems. This second edition is a thorough revision, although the main features and structure remain unchanged. It contains many addit