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
โ Scribed by Harold J. Kushner, G. George Yin
- Publisher
- Springer
- Year
- 2010
- Tongue
- English
- Leaves
- 497
- Series
- Stochastic Modelling and Applied Probability
- Edition
- 2nd ed.
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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 additional applications and results as well as more detailed discussion.
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