“Optimality Conditions in Convex Optimization: A Finite-Dimensional View”, by Anulekha Dhara and Joydeep Dutta, 444 pp., eBook ISBN 9780429065026 (published on 17 November 2011), DOI https://doi.org/10.1201/b11156.

Table of Content

Chapter 1 – What Is Convex Optimization?
Chapter 2 – Tools for Convex Optimization
Chapter 3 – Basic Optimality Conditions Using the Normal Cone
Chapter 4 – Saddle Points, Optimality, and Duality
Chapter 5 – Enhanced Fritz John Optimality Conditions
Chapter 6 – Optimality without Constraint Qualification
Chapter 7 – Sequential Optimality Conditions
Chapter 8 – Representation of the Feasible Set and KKT Conditions
Chapter 9 – Weak Sharp Minima in Convex Optimization
Chapter 10 – Approximate Optimality Conditions
Chapter 11 – Convex Semi-Infinite Optimization
Chapter 12 – Convexity in Nonconvex Optimization