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Combinatorial, linear, integer and n...

MacGregor Smith, J.

Combinatorial, linear, integer and nonlinear optimization appsCOLINA Grande /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Combinatorial, linear, integer and nonlinear optimization appsby J. MacGregor Smith.
其他題名:	COLINA Grande /
作者:	MacGregor Smith, J.
出版者:	Cham :Springer International Publishing :2021.
面頁冊數:	xxi, 259 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Mathematical optimizationData processing.
電子資源:	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

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