Computational Stochastic Programming: Models, Algorithms, and Implementation by Lewis Ntaimo (Springer Optimization and Its Applications 774)

Master computational stochastic programming with this comprehensive guide. Explore models, algorithms, and implementation techniques to solve complex optimization problems under uncertainty. Ideal for students and researchers seeking a strong foundation in this critical field. Ace your exams on the first try!