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A Set of Examples of Global and Discrete Optimization: Applications of Bayesian Heuristic Approach - Applied Optimization Jonas Mockus Softcover reprint of the original 1st ed. 2000 edition
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A Set of Examples of Global and Discrete Optimization: Applications of Bayesian Heuristic Approach - Applied Optimization
Jonas Mockus
This book shows how the Bayesian Approach (BA) improves well known heuristics by randomizing and optimizing their parameters. A theoretical setting is described in which one can discuss a Bayesian adaptive choice of heuristics for discrete and global optimization prob lems.
322 pages, biography
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | November 18, 2013 |
| ISBN13 | 9781461371144 |
| Publishers | Springer-Verlag New York Inc. |
| Pages | 322 |
| Dimensions | 155 × 235 × 18 mm · 476 g |
| Language | English |
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