This textbook offers graduate students a concise introduction to the classic notions of convex optimization. Written in a highly accessible style and including

Optimization is a rich and thriving mathematical discipline, and the underlying theory of current computational optimization techniques grows ever more sophisti

A uniquely pedagogical, insightful, and rigorous treatment of the analytical/geometrical foundations of optimization. The book provides a comprehensive developm

This book provides a comprehensive and accessible presentation of algorithms for solving convex optimization problems. It relies on rigorous mathematical analys

Due to the general complementary convex structure underlying most nonconvex optimization problems encountered in applications, convex analysis plays an essentia