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＜電子ブック＞
Convex Optimization in Normed Spaces : Theory, Methods and Examples / by Juan Peypouquet
(SpringerBriefs in Optimization. ISSN:2191575X ; 0)

版	1st ed. 2015.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2015
本文言語	英語
大きさ	XIV, 124 p. 17 illus : online resource
著者標目	*Peypouquet, Juan author SpringerLink (Online service)
件　名	LCSH:Mathematical optimization LCSH:Calculus of variations LCSH:Algorithms FREE:Calculus of Variations and Optimization FREE:Algorithms
一般注記	Basic Functional Analysis -- Existence of Minimizers -- Convex Analysis and Subdifferential Calculus -- Examples -- Problem-solving Strategies -- Keynote Iterative Methods 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 HTTP:URL=https://doi.org/10.1007/978-3-319-13710-0

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