Bayesian Heuristic Approach to Discrete and Global Optimization : Algorithms, Visualization, Software, and Applications /
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, es...
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Bibliographic Details
| Main Author: |
Mockus, Jonas |
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| Corporate Author: |
SpringerLink (Online service) |
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| Other Authors: |
Eddy, William,
Mockus, Audris,
Mockus, Linas,
Reklaitis, Gintaras |
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| Format: | eBook
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| Language: | English |
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| Published: |
Boston, MA :
Springer US,
1997.
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| Series: | Nonconvex optimization and its applications ;
17.
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| Subjects: | |
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| Online Access: | Connect to the full text of this electronic book
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