Data-Driven Approximation of Contextual Chance-Constrained Stochastic Programs
Author:
Affiliation:
1. Department of Industrial Engineering, Clemson University, Clemson, SC 29634 USA.
2. SKEMA Business School, Université Côte dAzur, Lille, France.
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Subject
Theoretical Computer Science,Software,Applied Mathematics
Reference45 articles.
1. A model for dynamic chance constraints in hydro power reservoir management
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