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Record Nr. |
UNINA9910149631303321 |
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Autore |
Bergman David |
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Titolo |
Decision diagrams for optimization / / by David Bergman, Andre A. Cire, Willem-Jan van Hoeve, John Hooker |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
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ISBN |
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Edizione |
[1st ed. 2016.] |
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Descrizione fisica |
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1 online resource (XII, 254 p. 79 illus.) |
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Collana |
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Artificial Intelligence: Foundations, Theory, and Algorithms, , 2365-3051 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Operations research |
Decision making |
Mathematical optimization |
Management science |
Computers |
Artificial Intelligence |
Operations Research/Decision Theory |
Discrete Optimization |
Operations Research, Management Science |
Theory of Computation |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Introduction -- Historical Overview -- Exact Decision Diagrams -- Relaxed Decision Diagrams -- Restricted Decision Diagrams -- Branch-and-Bound Based on Decision Diagrams -- Variable Ordering -- Recursive Modeling -- MDD-Based Constraint Programming -- MDD Propagation for Sequence Constraints -- Sequencing and Single-Machine Scheduling -- Index. |
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Sommario/riassunto |
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This book introduces a novel approach to discrete optimization, providing both theoretical insights and algorithmic developments that lead to improvements over state-of-the-art technology. The authors present chapters on the use of decision diagrams for combinatorial optimization and constraint programming, with attention to general- |
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