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Book Cover
E-book
Author MacGregor Smith, J., author

Title Combinatorial, linear, integer and nonlinear optimization apps : COLINA Grande / J. MacGregor Smith
Published Cham, Switzerland : Springer, 2021

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Description 1 online resource (xxi, 259 pages) : illustrations (some color)
Series Springer optimization and its applications, 1931-6836 ; volume 175
Springer optimization and its applications ; v. 175. 1931-6836
Contents Introduction -- App Problem Formulation -- Combinatorial Optimization -- Linear Programming -- Integer Programming -- Nonlinear Programming -- AMPL NEOS Link -- Glossary
Summary 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
Bibliography Includes bibliographical references and index
Notes Online resource; title from PDF title page (SpringerLink, viewed October 19, 2021)
Subject Mathematical optimization -- Data processing
Mathematical optimization -- Data processing
Form Electronic book
ISBN 9783030758011
303075801X