國立高雄大學圖資館 |

Language: English

Back

Combinatorial, linear, integer and n...

MacGregor Smith, J.

Combinatorial, linear, integer and nonlinear optimization appsCOLINA Grande /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Combinatorial, linear, integer and nonlinear optimization appsby J. MacGregor Smith.
Reminder of title:	COLINA Grande /
Author:	MacGregor Smith, J.
Published:	Cham :Springer International Publishing :2021.
Description:	xxi, 259 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Mathematical optimizationData processing.
Online resource:	https://doi.org/10.1007/978-3-030-75801-1
ISBN:	9783030758011$q(electronic bk.)

Combinatorial, linear, integer and nonlinear optimization appsCOLINA Grande /
MacGregor Smith, J.

Combinatorial, linear, integer and nonlinear optimization appsCOLINA Grande /[electronic resource] :by J. MacGregor Smith. - Cham :Springer International Publishing :2021. - xxi, 259 p. :ill. (some col.), digital ;24 cm. - Springer optimization and its applications,v. 1751931-6836 ;. - Springer optimization and its applications ;v. 3..

Introduction -- App Problem Formulation -- Combinatorial Optimization -- Linear Programming -- Integer Programming -- Nonlinear Programming -- AMPL NEOS Link -- Glossary.

This textbook provides an introduction to the use and understanding of optimization and modeling for upper-level undergraduate students in engineering and mathematics. The formulation of optimization problems is founded through concepts and techniques from operations research: Combinatorial Optimization, Linear Programming, and Integer and Nonlinear Programming (COLIN) Computer Science (CS) is also relevant and important given the applications of algorithms and Apps/algorithms (A) in solving optimization problems. Each chapter provides an overview of the main concepts of optimization according to COLINA, providing examples through App Inventor and AMPL software applications. All apps developed through the text are available for download. Additionally, the text includes links to the University of Wisconsin NEOS server, designed to handle more computing-intensive problems in complex optimization. Readers are encouraged to have some background in calculus, linear algebra, and related mathematics.

ISBN: 9783030758011$q(electronic bk.)

Standard No.: 10.1007/978-3-030-75801-1doiSubjects--Topical Terms:

185827
Mathematical optimization
--Data processing.

LC Class. No.: QA402.5 / .M33 2021

Dewey Class. No.: 519.6

Combinatorial, linear, integer and nonlinear optimization appsCOLINA Grande /
LDR:02282nmm a2200337 a 4500 001 610739
003 DE-He213
005 20211017224155.0
006 m d
007 cr nn 008maaau
008 220330s2021 sz s 0 eng d
020 $a 9783030758011$q(electronic bk.)
020 $a 9783030758004$q(paper)
024 7 $a 10.1007/978-3-030-75801-1 $2 doi
035 $a 978-3-030-75801-1
040 $a GP $c GP
041 0 $a eng
050 4 $a QA402.5 $b .M33 2021
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 .M147 2021
100 1 $a MacGregor Smith, J. $3 908922
245 1 0 $a Combinatorial, linear, integer and nonlinear optimization apps $h [electronic resource] : $b COLINA Grande / $c by J. MacGregor Smith.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xxi, 259 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Springer optimization and its applications, $x 1931-6836 ; $v v. 175
505 0 $a Introduction -- App Problem Formulation -- Combinatorial Optimization -- Linear Programming -- Integer Programming -- Nonlinear Programming -- AMPL NEOS Link -- Glossary.
520 $a This textbook provides an introduction to the use and understanding of optimization and modeling for upper-level undergraduate students in engineering and mathematics. The formulation of optimization problems is founded through concepts and techniques from operations research: Combinatorial Optimization, Linear Programming, and Integer and Nonlinear Programming (COLIN) Computer Science (CS) is also relevant and important given the applications of algorithms and Apps/algorithms (A) in solving optimization problems. Each chapter provides an overview of the main concepts of optimization according to COLINA, providing examples through App Inventor and AMPL software applications. All apps developed through the text are available for download. Additionally, the text includes links to the University of Wisconsin NEOS server, designed to handle more computing-intensive problems in complex optimization. Readers are encouraged to have some background in calculus, linear algebra, and related mathematics.
650 0 $a Mathematical optimization $x Data processing. $3 185827
650 1 4 $a Optimization. $3 274084
650 2 4 $a Operations Research, Management Science. $3 511451
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Springer optimization and its applications ; $v v. 3. $3 440366
856 4 0 $u https://doi.org/10.1007/978-3-030-75801-1
950 $a Mathematics and Statistics (SpringerNature-11649)