Convex Optimization in Normed Spaces: Theory, Methods and Examples

Self-contained, including all necessary functional and convex analysis background Blends theory and practice, focusing on algorithms, examples and applications Complete yet concise, both in depth and bibliography This work is intended to serve as a guide for graduate students and researchers who wish to get acquainted with the main theoretical and practical tools for the numerical minimization of convex functions on Hilbert spaces. Therefore, it contains the main tools that are necessary to conduct independent research on the topic. It is also a concise, easy-to-follow and self-contained textbook, which may be useful for any researcher working on related fields, as well as teachers giving graduate-level courses on the topic. It will contain a thorough revision of the extant literature including both classical and state-of-the-art references. Content Level » Research Keywords » Convex optimization - nonlinear programming - nonsmooth optimization - numerical optimization - optimal control - variational analysis Related subjects » Computational Science & Engineering - Mathematics