Graduate-level convex optimization following a case-study approach. Covers convex theory, duality, algorithms, and nonconvex methods, with applications spanning signal processing, finance, machine learning, and big data drawn from recent top-journal papers. [ Syllabus ] The Hong Kong University of Science and Technology (HKUST) Fall 2025-26 Prof. Daniel P. Palomar
