Basic Properties and Theory
This chapter considers the basic properties and theory of stochastic programming. As throughout this book, the emphasis is on results that have direct application in the solution of stochastic programs. Proofs are included for those results we consider most central to the overall development.
KeywordsValid Inequality Probabilistic Constraint Discrete Random Variable Continuous Random Variable Chance Constraint
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