Explores KKT conditions in convex optimization, covering dual problems, logarithmic constraints, least squares, matrix functions, and suboptimality of covering ellipsoids.
Explores the significance of active constraints in linear optimization, showcasing how they influence the simplification of problems by focusing on relevant constraints.
