Event

Content:

While Stochastic Optimization is a long established, powerful paradigm for dealing with optimization problems under uncertainty, it is also a field that is continuously evolving, in an effort to expand the applicability of the respective techniques, but also to challenge frontiers to other paradigms such as robust optimization. In this course we will closely examine more recent developments in the field, and introduce, and train the usage of the computational techniques, that act as a workhorse for solution strategies.  

Prerequisites:

None.