The goal of this course is to investigate in-depth and to develop expert knowledge in the theory and algorithms for convex optimization. This course will provide a rigorous introduction to the rich ...

In a recent review article in Light| Science & Applications, researchers provided a comprehensive overview of non-convex optimization algorithms used in computer-generated holography (CGH).

The course will take an in-depth look at the main concepts and algorithms in convex optimization. The goal is to develop expert knowledge in duality and in the design and analysis of algorithms for ...

This course discusses basic convex analysis (convex sets, functions, and optimization problems), optimization theory (linear, quadratic, semidefinite, and geometric programming; optimality conditions ...

Quadratic programming, support vector machines. Online convex optimization, online gradient and multiplicative weight methods. Second-order optimization: Newton’s method. Vishnoi, N. (2018).

This course is available on the BSc in Business Mathematics and Statistics, BSc in Mathematics and Economics, BSc in Mathematics with Economics and BSc in Mathematics, Statistics and Business. This ...