東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Selected applications of convex opti...

Li, Li.

Linked to FindBook

Google Book

Amazon

博客來

Selected applications of convex optimization

Record Type:	Electronic resources : Monograph/item
Title/Author:	Selected applications of convex optimization/ by Li Li.
Author:	Li, Li.
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg : : 2015.,
Description:	x, 140 p. :ill., digital ;24 cm.
[NT 15003449]:	Preliminary Knowledge -- Support Vector Machines -- Parameter Estimations -- Norm Approximation and Regulariztion -- Semi-Definite Programing and Linear Matrix Inequalities -- Convex Relaxation -- Geometric Problems.
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.52..

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:

517763
Mathematical optimization.

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

Dewey Class. No.: 519.6

Selected applications of convex optimization
LDR:01772nmm a2200349 a 4500 001 1998088
003 DE-He213
005 20151029103703.0
006 m d
007 cr nn 008maaau
008 151112s2015 gw s 0 eng d
020 $a 9783662463567 (electronic bk.)
020 $a 9783662463550 (paper)
024 7 $a 10.1007/978-3-662-46356-7 $2 doi
035 $a 978-3-662-46356-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QA402.5 $b .L5 2015
072 7 $a KJT $2 bicssc
072 7 $a KJM $2 bicssc
072 7 $a BUS049000 $2 bisacsh
072 7 $a BUS042000 $2 bisacsh
082 0 4 $a 519.6 $2 23
090 $a QA402.5 $b .L693 2015
100 1 $a Li, Li. $3 1036040
245 1 0 $a Selected applications of convex optimization $h [electronic resource] / $c by Li Li.
260 $a Berlin, Heidelberg : $b Springer Berlin Heidelberg : $b Imprint: Springer, $c 2015.
300 $a x, 140 p. : $b ill., digital ; $c 24 cm.
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 517763
650 1 4 $a Mathematics. $3 515831
650 2 4 $a Operations Research, Management Science. $3 1532996
650 2 4 $a Mathematical Software. $3 897499
650 2 4 $a Mathematical Modeling and Industrial Mathematics. $3 891089
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Springer optimization and its applications ; $v v.52. $3 1565660
856 4 0 $u http://dx.doi.org/10.1007/978-3-662-46356-7
950 $a Mathematics and Statistics (Springer-11649)