An edition of Bayesian heuristic approach to discrete and global optimization
(1996)
Bayesian heuristic approach to discrete and global optimization
algorithms, visualization, software, and applications
by Jonas Mockus, J. Mockus, William Eddy, and Gintaras Reklaitis
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Subjects
Bayesian statistical decision theory, Combinatorial optimization, Heuristic programming, Combinatorics & graph theory, Optimization, Optimization (Mathematical Theory), Engineering - General, Bayesian Statistics, Mathematics, Science/Mathematics, Linear Programming, Game Theory, Discrete Mathematics, Mathematics / Combinatorics, Mathematics / Game Theory, Mathematics-Discrete Mathematics, Technology-Engineering - General, Bayesian statistical decision| Edition | Availability |
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1
Bayesian heuristic approach to discrete and global optimization: algorithms, visualization, software, and applications
1997, Kluwer Academic Publishers
in English
0792343271 9780792343271
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2
Bayesian Heuristic Approach to Discrete and Global Optimization: Algorithms, Visualization, Software, and Applications (Nonconvex Optimization and Its Applications)
December 31, 1996, Springer
Hardcover
in English
- 1 edition
0792343271 9780792343271
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Book Details
Edition Notes
Includes bibliographical references and index.
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| July 31, 2019 | Edited by MARC Bot | associate edition with work OL18346120W |
| February 5, 2019 | Created by MARC Bot | import existing book |