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?
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Given your emphasis on practical and implementation aspects, I think the following two lectures will interest you:
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$\begingroup$ These two lectures look good, Thank you. I probably need more material, so will wait for others to add to the list $\endgroup$ – Moving in rhythm with OR Aug 5 at 13:01
