S. Boyd and L. Vandenberghe, Convex Optimization, Cambridge University Press, 2004. (This book is available on-line, but I strongly recommend to buy a hardcopy). Optional or Other References. D.

Non-convex optimization is now ubiquitous in machine learning. While previously, the focus was on convex relaxation methods, now the emphasis is on being able to solve non-convex problems directly.

Linear Algebra, Calculus , Real Analysis Description. The goal of this course is to investigate in-depth and to develop expert knowledge in the theory and algorithms for convex optimization. This ...

This talk presents the latest developments on convex liftings, a tool belonging to the class of lift-and-project techniques with various applications in control engineering. According to the latest ...