This volume explores the theoretical foundations and practical applications of stochastic programming. The book compiles papers presented at the Working Conference on Stochastic Programming held in Gargnano, Italy, in September 1983. It addresses the challenges and methodologies involved in decision-making under uncertainty, a critical aspect of modern optimization problems. The contributions cover a range of topics within this field, reflecting the state of research at the time.

This collection of papers from the 1983 Gargnano conference offers a snapshot of the field of stochastic programming as it stood at that time. The contributions likely represent a significant academic resource for researchers and practitioners interested in the foundational aspects of optimization under uncertainty. The focus on theoretical models and methodologies suggests a text aimed at a specialized audience within operations research and applied mathematics.