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A decomposition strategy for decision problems with endogenous uncertainty using mixed-integer programming
Despite methodological advances for modeling decision problems under uncertainty, faithfully representing endogenous uncertainty still …
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A novel dual-decomposition method based on p-Lagrangian relaxation
In this paper, we propose the novel p-branch-and-bound method for solving two-stage stochastic programming problems whose deterministic …
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