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  • Theory and Applications
    John Hooker
    978-3-031-45039-6
    2024
    Edition 1
    • Introduces logic-based Benders decomposition (LBBD) for optimization, which substantially generalizes the classical Benders method
    • Provides a concise and accessible exposition of all the relevant concepts, including inference duality, branch-and-check methods, and application to two-stage stochastic and robust optimization models
    • Explains how LBBD can be combined with stochastic and robust optimization, heuristic methods, and decision diagrams

    €90

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