### About this book

Optimization is a rich and thriving mathematical discipline. The
theory underlying current computational optimization techniques grows
ever more sophisticated. The powerful and elegant language of convex
analysis unifies much of this theory. The aim of this book is to
provide a concise, accessible account of convex analysis and its
applications and extensions, for a broad audience. It can serve as a
teaching text, at roughly the level of first year graduate
students. While the main body of the text is self-contained, each
section concludes with an often extensive set of optional
exercises. The new edition adds material on semismooth optimization,
as well as several new proofs that will make this book even more
self-contained.
Written for:

Graduate math students, mathematicians