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Convex optimization in normed spaces theory, methods and examples / [electronic resource] :
- 作者： Peypouquet, Juan.
- 其他作者：
- 其他題名：
- SpringerBriefs in optimization,
- 出版： Cham : Springer International Publishing :Imprint: Springer
- 叢書名： SpringerBriefs in optimization,
- 主題： Convex functions , Mathematical optimization , Banach spaces , Mathematics , Calculus of Variations and Optimal Control; Optimization. , Algorithms
- ISBN： 9783319137100 (electronic bk.) 、 9783319137094 (paper)
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FIND@SFXID:
CGU
- 資料類型: 電子書
- 內容註: Basic Functional Analysis -- Existence of Minimizers -- Convex Analysis and Subdifferential Calculus -- Examples -- Problem-solving Strategies -- Keynote Iterative Methods.
- 摘要註: 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.
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讀者標籤：
- 系統號： 005132911 | 機讀編目格式
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