Stochastic Approximation Algorithms and Applications
โ Scribed by Harold J. Kushner, G. George Yin (auth.)
- Publisher
- Springer New York
- Year
- 1997
- Tongue
- English
- Leaves
- 497
- Series
- Applications of Mathematics 35
- Edition
- 2nd
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Subjects
Probability Theory and Stochastic Processes
๐ SIMILAR VOLUMES
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
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
<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