New tool revolutionizes decision-making under uncertainty for complex problems!
The article discusses how a new feature called stochastic programming was added to a modeling system. This feature helps make decisions in uncertain situations by considering random events. The system can handle complex problems with different types of variables and constraints. However, solving these problems can be challenging and require a lot of computational effort, especially as the number of decision stages increases. The researchers had to decide where to place the computational capabilities to make the system work efficiently.