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Table of contents (21 chapters)
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Front Matter
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Discrete Optimization
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Front Matter
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Batch Process Scheduling
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Front Matter
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About this book
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.
Authors and Affiliations
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Institute of Mathematics and Informatics, Kaunas Technological University, Vilnius, Lithuania
Jonas Mockus
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Vytautas Magnus University, Vilnius, Lithuania
Jonas Mockus
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Vilnius Technical University, Vilnius, Lithuania
Jonas Mockus
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Department of Statistics, Carnegie-Mellon University, Pittsburgh, USA
William Eddy
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Lucent Technologies AT&T Bell Laboratories, Pittsburgh, USA
Audris Mockus
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School of Chemical Engineering, Purdue University, W. Lafayette, USA
Linas Mockus, Gintaras Reklaitis
Bibliographic Information
Book Title: Bayesian Heuristic Approach to Discrete and Global Optimization
Book Subtitle: Algorithms, Visualization, Software, and Applications
Authors: Jonas Mockus, William Eddy, Audris Mockus, Linas Mockus, Gintaras Reklaitis
Series Title: Nonconvex Optimization and Its Applications
DOI: https://doi.org/10.1007/978-1-4757-2627-5
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media Dordrecht 1997
Hardcover ISBN: 978-0-7923-4327-1Published: 31 December 1996
Softcover ISBN: 978-1-4419-4767-3Published: 07 December 2010
eBook ISBN: 978-1-4757-2627-5Published: 09 March 2013
Series ISSN: 1571-568X
Edition Number: 1
Number of Pages: XV, 397
Topics: Combinatorics, Optimization, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Applications of Mathematics