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Bücher Englische Bücher Bayesian Heuristic Approach to Discrete and Global Optimization
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Bayesian Heuristic Approach to Discrete and Global Optimization
Jonas Mockus, William Eddy, Gintaras Reklaitis (Broschiert, Englisch)
Optischer Zustand
Beschreibung
Bayesian decision theory is known to provide an effective framework for the practical solution of discrete and nonconvex optimization problems. This book is the first to demonstrate that this framework is also well suited for the exploitation of heuristic methods in the solution of such problems, especially those of large scale for which exact optimization approaches can be prohibitively costly.… The book covers all aspects ranging from the formal presentation of the Bayesian Approach, to its extension to the Bayesian Heuristic Strategy, and its utilization within the informal, interactive Dynamic Visualization strategy. The developed framework is applied in forecasting, in neural network optimization, and in a large number of discrete and continuous optimization problems. Specific application areas which are discussed include scheduling and visualization problems in chemical engineering, manufacturing process control, and epidemiology. Computational results and comparisons with a broad range of test examples are presented. The software required for implementation of the Bayesian Heuristic Approach is included. Although some knowledge of mathematical statistics is necessary in order to fathom the theoretical aspects of the development, no specialized mathematical knowledge is required to understand the application of the approach or to utilize the software which is provided. Audience : The book is of interest to both researchers in operations research, systems engineering, and optimization methods, as well as applications specialists concerned with the solution of large scale discrete and/or nonconvex optimization problems in a broad range of engineering and technological fields. It may be used as supplementary material for graduate level courses. 267,49 €
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Technische Daten
Erscheinungsdatum
07.12.2010
Sprache
Englisch
EAN
9781441947673
Herausgeber
Springer US
Serien- oder Bandtitel
Nonconvex Optimization and Its Applications
Sonderedition
Nein
Autor
Jonas Mockus, William Eddy, Gintaras Reklaitis
Seitenanzahl
397
Einbandart
Broschiert
Buch Untertitel
Algorithms, Visualization, Software, and Applications
Schlagwörter
Fathom, algorithm, algorithms, chemical engineering, decision theory, genetic algorithms, global optimization, linear optimization, mathematical statistics, network, nonlinear optimization, operations research, optimization, scheduling, statistics, combinatorics
Thema-Inhalt
PBD - Diskrete Mathematik
PBU - Optimierung
PBT - Wahrscheinlichkeitsrechnung und Statistik
PBW - Angewandte Mathematik
Höhe
235 mm
Breite
15.5 cm
Transparenz & Sicherheit
Hersteller: Springer, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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