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Convex Optimization in Normed Spaces

Theory, Methods and Examples

Juan Peypouquet

$138.95   $110.98

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English
Springer International Publishing AG
30 March 2015
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.
By:  
Imprint:   Springer International Publishing AG
Country of Publication:   Switzerland
Edition:   2015 ed.
Dimensions:   Height: 235mm,  Width: 155mm,  Spine: 8mm
Weight:   2.234kg
ISBN:   9783319137094
ISBN 10:   3319137093
Series:   SpringerBriefs in Optimization
Pages:   124
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

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.

Reviews for Convex Optimization in Normed Spaces: Theory, Methods and Examples

“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 Zălinescu, Mathematical Reviews, November, 2015)


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