Optimization Theory: A Concise Introduction delves into fundamental concepts and results in optimization, making it ideal for an introductory course at the undergraduate or beginning graduate level. Authored by Yong Jiongmin, this slim volume, consisting of 236 pages, provides a comprehensive overview of key topics such as nonlinear programming using Lagrange multiplier methods, the Karush-Kuhn-Tucker conditions, and Fritz John’s approach. It also covers optimization problems with convex or quasi-convex constraints, alongside an exploration of linear programming through both geometric and simplex methodologies. Aimed at upper-level undergraduate students or first/second year graduate students, this text is equally valuable for researchers in various interdisciplinary fields beyond the realm of pure optimization.