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Juan Peypouquet - Convex Optimization in Normed Spaces: Theory, Methods and Examples (SpringerBriefs in Optimization) - 9783319137094 - V9783319137094
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Convex Optimization in Normed Spaces: Theory, Methods and Examples (SpringerBriefs in Optimization)

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Description for Convex Optimization in Normed Spaces: Theory, Methods and Examples (SpringerBriefs in Optimization) Paperback. Series: SpringerBriefs in Optimization. Num Pages: 124 pages, 17 black & white illustrations, biography. BIC Classification: PBKQ; PBKS. Category: (P) Professional & Vocational. Dimension: 241 x 269 x 10. Weight in Grams: 236.
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.

Product Details

Format
Paperback
Publication date
2015
Publisher
Springer
Condition
New
Series
SpringerBriefs in Optimization
Number of Pages
124
Place of Publication
Cham, Switzerland
ISBN
9783319137094
SKU
V9783319137094
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About Juan Peypouquet
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 (SpringerBriefs in Optimization)
“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)

Goodreads reviews for Convex Optimization in Normed Spaces: Theory, Methods and Examples (SpringerBriefs in Optimization)


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