Convex Optimization in Normed Spaces

Beschreibung

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.
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

Autor*in

Juan Peypouquet

Themen in »Convex Optimization in Normed Spaces«

Convex optimization nonlinear programming nonsmooth optimization numerical optimization optimal control variational analysis

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“This short book is dedicated to convex optimization, beginning with theoretical aspects, ending with numerical methods, and complemented with numerous examples. … this is an interesting and well-written book that is adequate for a graduate-level course on convex optimization.” (Constantin Zălinescu, Mathematical Reviews, November, 2015)

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