Ce cours offre une introduction à la théorie de l'optimisation convexe et non-convexe, appliquées au machine learning. Le cours vise les aspects mathématiques de l'optimisation convexe et non-convexe, les méthodes d'optimisation determistes et stochastiques, tel que les methodes du gradient stochastique, et les methodes SA et BCD pour l'optimization non-convexe.
MICAS903, addenda SI221
The course provides advanced knowledge in a number of transmission techniques and technologies in wirelesscommunications. It covers the fundamentals on MIMO communications ranging from single-user MIMO to multi-user MIMO and cooperative communications, then addresses massive MIMO and mmwave MIMO in contemporarywireless communication standards. Other advanced topics are also viewed to update students with emergingtechniques and developments in 5G including: IoT technologies and communications, D2D communications,caching, green communications and various network architectures.
