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Selected applications of convex opti...

Li, Li.

Selected applications of convex optimization

Record Type:	Electronic resources : Monograph/item
Title/Author:	Selected applications of convex optimizationby Li Li.
Author:	Li, Li.
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg :2015.
Description:	x, 140 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Mathematical optimization.
Online resource:	http://dx.doi.org/10.1007/978-3-662-46356-7
ISBN:	9783662463567 (electronic bk.)

Selected applications of convex optimization
Li, Li.

Selected applications of convex optimization[electronic resource] /by Li Li. - Berlin, Heidelberg :Springer Berlin Heidelberg :2015. - x, 140 p. :ill., digital ;24 cm. - Springer optimization and its applications,v.1031931-6828 ;. - Springer optimization and its applications ;v. 3..

Preliminary Knowledge -- Support Vector Machines -- Parameter Estimations -- Norm Approximation and Regulariztion -- Semi-Definite Programing and Linear Matrix Inequalities -- Convex Relaxation -- Geometric Problems.

This book focuses on the applications of convex optimization and highlights several topics, including support vector machines, parameter estimation, norm approximation and regularization, semi-definite programming problems, convex relaxation, and geometric problems. All derivation processes are presented in detail to aid in comprehension. The book offers concrete guidance, helping readers recognize and formulate convex optimization problems they might encounter in practice.

ISBN: 9783662463567 (electronic bk.)

Standard No.: 10.1007/978-3-662-46356-7doiSubjects--Topical Terms:

183292
Mathematical optimization.

LC Class. No.: QA402.5 / .L5 2015

Dewey Class. No.: 519.6

Selected applications of convex optimization
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245 1 0 $a Selected applications of convex optimization $h [electronic resource] / $c by Li Li.
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490 1 $a Springer optimization and its applications, $x 1931-6828 ; $v v.103
505 0 $a Preliminary Knowledge -- Support Vector Machines -- Parameter Estimations -- Norm Approximation and Regulariztion -- Semi-Definite Programing and Linear Matrix Inequalities -- Convex Relaxation -- Geometric Problems.
520 $a This book focuses on the applications of convex optimization and highlights several topics, including support vector machines, parameter estimation, norm approximation and regularization, semi-definite programming problems, convex relaxation, and geometric problems. All derivation processes are presented in detail to aid in comprehension. The book offers concrete guidance, helping readers recognize and formulate convex optimization problems they might encounter in practice.
650 0 $a Mathematical optimization. $3 183292
650 1 4 $a Mathematics. $3 184409
650 2 4 $a Operations Research, Management Science. $3 511451
650 2 4 $a Mathematical Software. $3 279828
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