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

メディア	書籍 Hardcover Book (ハードカバー付きの本)
リリース済み	1996年12月31日
ISBN13	9780792343271
出版社	Kluwer Academic Publishers
ページ数	412
寸法	156 × 234 × 23 mm · 762 g
言語	英語