Bayesian Heuristic Approach to Discrete and Global Optimization - Algorithms, Visualization, Software, and Applications - Hardback - 1996

Jonas Mockus, William Eddy,Reklaitis, Gintaras (Purdue University, W. Lafayette, IN, USA)

Bayesian Heuristic Approach to Discrete and Global Optimization - Algorithms, Visualization, Software, and Applications - Hardback - 1996 - 1
Resumo
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.
Year of publication: 1996
Pagination: 412 pages, biography
Format: Hardback
Serie: Nonconvex Optimization and Its Applications

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Resumo

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.
Year of publication: 1996
Pagination: 412 pages, biography
Format: Hardback
Serie: Nonconvex Optimization and Its Applications
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Bayesian Heuristic Approach to Discrete and Global Optimization - Algorithms, Visualization, Software, and Applications - Hardback - 1996

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Características

Editora

Kluwer Academic Publishers

Dimensão

234 x 156 x 23

Peso

763

Tema

Optimization|Combinatorics & graph theory

Origem

United States

EAN

9780792343271

Publicidade
Publicidade