Texas A&M University 3 credits ISEN
Introduction to models, theory and computational methods for large-scale stochastic optimization including decomposition-coordination algorithms for stochastic programming such as generalized Benders decomposition and resource-price directive methods; emphasis on practical algorithm implementation and computational experimentation. Prerequisites: ISEN 620 or ISEN 622, STAT 610 and CSCE 602 or approval of instructor.
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