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.
Graduate math students, mathematicians