Description
This course offers an introduction to optimization models and their applications, ranging from machine learning and statistics to decision-making and control, with emphasis on numerically tractable problems, such as linear or constrained least-squares optimization. The course covers two main topics: practical linear algebra and convex optimization.
General Information
Name | Office Hours | |
---|---|---|
Laurent El Ghaoui | When? Where? | |
Vu Pham | When? Where? | |
Arturo Fernandez | When? Where? |
General Resources
General Resources