Optimization: A Bootcamp for Machine Learning, Inverse Problems, and Control

This bootcamp provides a practical yet rigorous introduction to convex optimization, covering core concepts like convex sets, functions, duality, and algorithms, which are fundamental to the subfield and its applications.

This lecture applies convex optimization principles to control problems in fluid dynamics, leveraging techniques like dynamic mode decomposition and reinforcement learning to optimize complex physical systems.