Stochastic Approximation and Recursive Algorithms and Applications
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 methods for very...
| Main Authors: | , |
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| Corporate Author: | |
| Format: | Electronic |
| Language: | English |
| Published: |
New York, NY :
Springer New York,
2003.
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| Edition: | Second Edition. |
| Series: | Stochastic Modelling and Applied Probability,
35 |
| Subjects: | |
| Online Access: | View fulltext via EzAccess |