Lecture Convex optimization - Chapter: Stochastic programming

Lecture Convex optimization - Chapter: Stochastic programming. This chapter presents the following content: Stochastic programming, ’certainty equivalent’ problem, violation/shortfall constraints and penalties, Monte Carlo sampling methods, validation.