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Language: en
Pages: 273
Pages: 273
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media
The book deals with a powerful and convenient approach to a great variety of types of problems of the recursive monte-carlo or stochastic approximation type. Su
Language: en
Pages: 261
Pages: 261
Type: BOOK - Published: 1978 - Publisher:
Language: en
Pages: 276
Pages: 276
Type: BOOK - Published: 2014-09-01 - Publisher:
Language: en
Pages: 620
Pages: 620
Type: BOOK - Published: 2005-03-11 - Publisher: John Wiley & Sons
* Unique in its survey of the range of topics. * Contains a strong, interdisciplinary format that will appeal to both students and researchers. * Features exerc
Language: en
Pages: 310
Pages: 310
Type: BOOK - Published: 2012-08-11 - Publisher: Springer
Stochastic Recursive Algorithms for Optimization presents algorithms for constrained and unconstrained optimization and for reinforcement learning. Efficient pe