Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the intricacies of nonconvex stochastic programs with a focus on chance constraints in this 42-minute lecture presented by Jong-Shi Pang from the University of Southern California. Delve into advanced mathematical concepts and their applications in stochastic programming, gaining insights into the challenges and solutions associated with nonconvex optimization problems. Learn how chance constraints impact decision-making under uncertainty and discover cutting-edge techniques for addressing these complex mathematical models.