Convex sets and functions, linear programming and duality, gradient descent and Newton's method, Lagrange multipliers and the KKT conditions, Lagrangian duality, and the unifying power of convex optimization.
Free to start · adaptive placement finds your level · reviews timed so it stays learned.
Every idea is taught with motivation and a worked example before the drills, and an FSRS spaced-repetition engine schedules each review for the moment just before you'd forget it. A short placement check finds what you already know, so you start Optimization & Convex Analysis exactly where it's useful.