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Bayesian Heuristic Approach to Discrete and Global Optimization: Algorithms, Visualization, Software, and Applications - Nonconvex Optimization and Its Applications Jonas Mockus 1997 edition
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Bayesian Heuristic Approach to Discrete and Global Optimization: Algorithms, Visualization, Software, and Applications - Nonconvex Optimization and Its Applications
Jonas Mockus
Bayesian decision theory is known to provide an effective framework for the practical solution of discrete and nonconvex optimization problems. This book covers various aspects ranging from formal presentation of Bayesian Approach, to its extension to the Bayesian Heuristic Strategy, and its utilization within the Dynamic Visualization strategy.
412 pages, biography
| Médias | Livres Hardcover Book (Livre avec dos et couverture rigide) |
| Validé | 31 décembre 1996 |
| ISBN13 | 9780792343271 |
| Éditeurs | Kluwer Academic Publishers |
| Pages | 412 |
| Dimensions | 156 × 234 × 23 mm · 762 g |
| Langue et grammaire | Anglais |
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