Convex Optimization in Normed Spaces: Theory, Methods and Examples by Juan Peypo

Description: Convex Optimization in Normed Spaces by Juan Peypouquet 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. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description 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. Author Biography Juan Peypouquet is an Associate Professor at the Mathematics Department of the Universidad Tecnica Federico Santa Maria. His main research interest is the study of the asymptotic behavior of dynamical systems in a broad sense, along with their applications in variational analysis and optimization. Table of Contents Basic Functional Analysis.- Existence of Minimizers.- Convex Analysis and Subdifferential Calculus.- Examples.- Problem-solving Strategies.- Keynote Iterative Methods. Review "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 Zlinescu, Mathematical Reviews, November, 2015) Review Quote "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 Zlinescu, Mathematical Reviews, November, 2015) Feature 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 Details ISBN3319137093 Year 2015 ISBN-10 3319137093 ISBN-13 9783319137094 Format Paperback Author Juan Peypouquet Short Title CONVEX OPTIMIZATION IN NORMED Language English Media Book Imprint Springer International Publishing AG Subtitle Theory, Methods and Examples Place of Publication Cham Country of Publication Switzerland Edition 2015th Illustrations 17 Illustrations, black and white; XIV, 124 p. 17 illus. Pages 124 DOI 10.1007/978-3-319-13710-0 Edited by Shahruddin Mahzan Birth 1927 Affiliation Massachusetts Institute of Technology Position journalist Qualifications S. J. Publisher Springer International Publishing AG Edition Description 2015 ed. Series SpringerBriefs in Optimization Publication Date 2015-03-30 DEWEY 518 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:96294049;

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