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Convex optimization in normed spaces...

Peypouquet, Juan.

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Convex optimization in normed spaces = theory, methods and examples /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Convex optimization in normed spaces/ by Juan Peypouquet.
Reminder of title:	theory, methods and examples /
Author:	Peypouquet, Juan.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	xiv, 124 p. :ill., digital ;24 cm.
[NT 15003449]:	Basic Functional Analysis -- Existence of Minimizers -- Convex Analysis and Subdifferential Calculus -- Examples -- Problem-solving Strategies -- Keynote Iterative Methods.
Contained By:	Springer eBooks
Subject:	Convex functions. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-13710-0
ISBN:	9783319137100 (electronic bk.)

Convex optimization in normed spaces = theory, methods and examples /
Peypouquet, Juan.

Convex optimization in normed spacestheory, methods and examples /[electronic resource] :by Juan Peypouquet. - Cham :Springer International Publishing :2015. - xiv, 124 p. :ill., digital ;24 cm. - SpringerBriefs in optimization,2190-8354. - SpringerBriefs in optimization..

Basic Functional Analysis -- Existence of Minimizers -- Convex Analysis and Subdifferential Calculus -- Examples -- Problem-solving Strategies -- Keynote Iterative Methods.

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.

ISBN: 9783319137100 (electronic bk.)

Standard No.: 10.1007/978-3-319-13710-0doiSubjects--Topical Terms:

544201
Convex functions.

LC Class. No.: QA331.5

Dewey Class. No.: 515.882

Convex optimization in normed spaces = theory, methods and examples /
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100 1 $a Peypouquet, Juan. $3 2139589
245 1 0 $a Convex optimization in normed spaces $h [electronic resource] : $b theory, methods and examples / $c by Juan Peypouquet.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xiv, 124 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in optimization, $x 2190-8354
505 0 $a Basic Functional Analysis -- Existence of Minimizers -- Convex Analysis and Subdifferential Calculus -- Examples -- Problem-solving Strategies -- Keynote Iterative Methods.
520 $a 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.
650 0 $a Convex functions. $3 544201
650 0 $a Mathematical optimization. $3 517763
650 0 $a Banach spaces. $3 579190
650 1 4 $a Mathematics. $3 515831
650 2 4 $a Calculus of Variations and Optimal Control; Optimization. $3 898674
650 2 4 $a Algorithms. $3 536374
710 2 $a SpringerLink (Online service) $3 836513
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856 4 0 $u http://dx.doi.org/10.1007/978-3-319-13710-0
950 $a Mathematics and Statistics (Springer-11649)