This book is the first easy-to-read text on nonsmooth
optimization (NSO, not necessarily di erentiable optimization).
Solving these kinds of problems plays a critical role in many
industrial applications and real-world modeling systems, for
example in the context of image denoising, optimal control, neural
network training, data mining, economics and computational
chemistry and physics. The book covers both the theory and the
numerical methods used in NSO and provide an overview of di erent
problems arising in the eld. It is organized into three parts:
1. convex and nonconvex analysis and the theory of NSO;
2. test problems and practical applications;
3. a guide to NSO software.The book is ideal for anyone teaching
or attending NSO courses. As an accessible introduction to the eld,
it is also well suited as an independent learning guide for
practitioners already familiar with the basics of
optimization."
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