Standalone LectureConvexity, Duality & Linear Programming · Steve Brunton · University of Washington
11:39
Control theory, dynamical systems, signal processing, convex optimization, robotics, and electrical engineering.
Structural connections linking subfields, mathematical foundations, and courses across disciplines.
MIT · 43 lectures
Strang's foundational work in linear algebra provides essential tools for understanding and solving problems in convex optimization, particularly in areas like least squares and matrix decompositions.
University of Washington · Steve Brunton
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.