Jonas Mockus
Bayesian Heuristic Approach to Discrete and Global Optimization: Algorithms, Visualization, Software, and Applications - Nonconvex Optimization and Its Applications Jonas Mockus 1997 edition

Name: Bayesian Heuristic Approach to Discrete and Global Optimization: Algorithms, Visualization, Software, and Applications - Nonconvex Optimization and Its Applications
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Author: Jonas Mockus

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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

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

Medij	Knjige Hardcover Book (Knjiga s trdim hrbtom in platnicami)
Izdano	31. decembra 1996
ISBN13	9780792343271
Založniki	Kluwer Academic Publishers
Strani	412
Dimenzije	156 × 234 × 23 mm · 762 g
Jezik	Angleščina