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I am looking for papers or other resources that provide an accessible introduction to L-shaped methods/Benders decomposition for solving stochastic linear programming-ideally something focused more on the practical and implementation side. Birge and Louveaux's book on stochastic programming provides some good examples, but I find their explanations long-winded. What are some of the best resources for learning Benders decomposition?

EhsanK
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  • I include references to L-shaped Benders decomposition in a question for decomposition, https://or.stackexchange.com/a/5772/3163 – Edward Feb 22 '21 at 12:29

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Given your emphasis on practical and implementation aspects, I think the following two lectures will interest you:

  1. Stochastic Programming Modeling by Jeff Linderoth (University of Wisconsin, Madison)

  2. Benders Decomposition for Solving Two-stage Stochastic Optimization Models by Jim Luedtke (University of Wisconsin, Madison)

rasul
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