Abstract | Conic quadratic optimization is an exciting extension of linear optimization. The excitement comes from that many important applications can be modeled as a conic quadratic optimization problem. Moreover, conic quadratic optimization problems can be effciently solved
using an appropriate interior-point method. In this course we will review the topic conic quadratic optimization. The review will include basic theory, important applications, algorithms, and available software.
Course topics:
1. Basic properties of Second Order Conic Programming (SOCP). Duality
2. Modelling. Important applications.
3. Algorithms for SOCP.
4. Software for SOCP. |