Optimization problems are encountered in many fields (engineering, finance, economics) an can lead to various mathematical formulations: convex or nonconvex type function, blackbox function, integer or continuous type and with various constraints. In some cases, it is also important to treat the effect of uncertainties and also to handle a large amount of data measurements.
The objective of this CIMPA school is to present various topics in the field of optimization and data assimilation in order to solve such applied problems. In all the courses, a particular application will be targeted in order to apply the mathematical tools that will be presented.
The research school will give participants the opportunity to learn recent developments on topics including data analysis, modeling and optimization techniques and to discuss about current situation of own research activities, improvement and collaboration with invited experts.
Official language of the school: English