书目名称 | Convex Optimization in Normed Spaces | 副标题 | Theory, Methods and | 编辑 | Juan Peypouquet | 视频video | | 概述 | 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 | 丛书名称 | SpringerBriefs in Optimization | 图书封面 |  | 描述 | 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. | 出版日期 | Book 2015 | 关键词 | Convex optimization; nonlinear programming; nonsmooth optimization; numerical optimization; optimal cont | 版次 | 1 | doi | https://doi.org/10.1007/978-3-319-13710-0 | isbn_softcover | 978-3-319-13709-4 | isbn_ebook | 978-3-319-13710-0Series ISSN 2190-8354 Series E-ISSN 2191-575X | issn_series | 2190-8354 | copyright | The Author(s) 2015 |
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