國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Nonlinear optimization

Aragon, Francisco J.

Nonlinear optimization

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Nonlinear optimizationby Francisco J. Aragon ... [et al.].
其他作者:	Aragon, Francisco J.
出版者:	Cham :Springer International Publishing :2019.
面頁冊數:	xiv, 350 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Mathematical optimization.
電子資源:	https://doi.org/10.1007/978-3-030-11184-7
ISBN:	9783030111847$q(electronic bk.)

Nonlinear optimization
Nonlinear optimization[electronic resource] /by Francisco J. Aragon ... [et al.]. - Cham :Springer International Publishing :2019. - xiv, 350 p. :ill., digital ;24 cm. - Springer undergraduate texts in mathematics and technology,1867-5506. - Springer undergraduate texts in mathematics and technology..

1. Preliminaries -- Part I. Analytical Optimization -- 2. Convexity -- 3. Unconstrained Optimization -- 4. Convex Optimization -- Part II. Numerical Optimization -- 5. Unconstrained Optimization Algorithms -- 6. Constrained Optimization -- Solutions to selected exercises -- References -- Index.

This textbook on nonlinear optimization focuses on model building, real world problems, and applications of optimization models to natural and social sciences. Organized into two parts, this book may be used as a primary text for courses on convex optimization and non-convex optimization. Definitions, proofs, and numerical methods are well illustrated and all chapters contain compelling exercises. The exercises emphasize fundamental theoretical results on optimality and duality theorems, numerical methods with or without constraints, and derivative-free optimization. Selected solutions are given. Applications to theoretical results and numerical methods are highlighted to help students comprehend methods and techniques.

ISBN: 9783030111847$q(electronic bk.)

Standard No.: 10.1007/978-3-030-11184-7doiSubjects--Topical Terms:

183292
Mathematical optimization.

LC Class. No.: QA402.5

Dewey Class. No.: 519.6

Nonlinear optimization
LDR:02056nmm a2200337 a 4500 001 553845
003 DE-He213
005 20190227002930.0
006 m d
007 cr nn 008maaau
008 191112s2019 gw s 0 eng d
020 $a 9783030111847$q(electronic bk.)
020 $a 9783030111830$q(paper)
024 7 $a 10.1007/978-3-030-11184-7 $2 doi
035 $a 978-3-030-11184-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QA402.5
072 7 $a PBU $2 bicssc
072 7 $a MAT003000 $2 bisacsh
072 7 $a PBU $2 thema
082 0 4 $a 519.6 $2 23
090 $a QA402.5 $b .N813 2019
245 0 0 $a Nonlinear optimization $h [electronic resource] / $c by Francisco J. Aragon ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a xiv, 350 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer undergraduate texts in mathematics and technology, $x 1867-5506
505 0 $a 1. Preliminaries -- Part I. Analytical Optimization -- 2. Convexity -- 3. Unconstrained Optimization -- 4. Convex Optimization -- Part II. Numerical Optimization -- 5. Unconstrained Optimization Algorithms -- 6. Constrained Optimization -- Solutions to selected exercises -- References -- Index.
520 $a This textbook on nonlinear optimization focuses on model building, real world problems, and applications of optimization models to natural and social sciences. Organized into two parts, this book may be used as a primary text for courses on convex optimization and non-convex optimization. Definitions, proofs, and numerical methods are well illustrated and all chapters contain compelling exercises. The exercises emphasize fundamental theoretical results on optimality and duality theorems, numerical methods with or without constraints, and derivative-free optimization. Selected solutions are given. Applications to theoretical results and numerical methods are highlighted to help students comprehend methods and techniques.
650 0 $a Mathematical optimization. $3 183292
650 0 $a Nonlinear theories. $3 182014
650 1 4 $a Optimization. $3 274084
700 1 $a Aragon, Francisco J. $3 835365
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Springer undergraduate texts in mathematics and technology. $3 594729
856 4 0 $u https://doi.org/10.1007/978-3-030-11184-7
950 $a Mathematics and Statistics (Springer-11649)