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)
By Jonas Mockus,J. Mockus,William Eddy,Gintaras Reklaitis
Publish Date
December 31, 1996
Publisher
Springer
Language
eng
Pages
406
Description:
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