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 (Nonconvex Optimization and Its Applications)
1 edition
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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| July 31, 2019 | Edited by MARC Bot | associate edition with work OL18346120W |
| February 5, 2019 | Created by MARC Bot | import existing book |