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Convex Optimization in Normed Spaces : Theory, Methods and Examples / by Juan Peypouquet.
Springer Nature - Springer Mathematics and Statistics eBooks 2015 English International Available online
View online- Format:
- Book
- Author/Creator:
- Peypouquet, Juan., Author.
- Series:
- SpringerBriefs in Optimization, 2190-8354 ; 0
- Language:
- English
- Subjects (All):
- Calculus of variations.
- Algorithms.
- Calculus of Variations and Optimal Control; Optimization.
- Local Subjects:
- Calculus of Variations and Optimal Control; Optimization.
- Algorithms.
- Physical Description:
- 1 online resource (132 p.)
- Edition:
- 1st ed. 2015.
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2015.
- Language Note:
- English
- Summary:
- 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.
- Contents:
- Basic Functional Analysis
- Existence of Minimizers
- Convex Analysis and Subdifferential Calculus
- Examples
- Problem-solving Strategies
- Keynote Iterative Methods.
- Notes:
- Description based upon print version of record.
- Includes bibliographical references and index.
- ISBN:
- 3-319-13710-7
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