Overview
- Conceptually explains real world optimization problems which are then demonstrated with practical software apps
- Brings optimization down to the students’ personal lives and experiences and gives them a marketable skill
- Allows the students to implement a project idea from inception to implementation on their phone or tablet
- Gives students access to state of the art software tools such as App Iniventor and AMPL optimization and mathematical programming software
Part of the book series: Springer Optimization and Its Applications (SOIA, volume 175)
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Table of contents(5 chapters)
About this book
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 relatedmathematics.
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Authors and Affiliations
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Department of Mechanical and Industrial Engineering, University of Massachusetts, Amherst, USA
J. MacGregor Smith
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Bibliographic Information
Book Title: Combinatorial, Linear, Integer and Nonlinear Optimization Apps
Book Subtitle: COLINA Grande
Authors: J. MacGregor Smith
Series Title: Springer Optimization and Its Applications
DOI: https://doi.org/10.1007/978-3-030-75801-1
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-75800-4Published: 18 October 2021
Softcover ISBN: 978-3-030-75803-5Published: 19 October 2022
eBook ISBN: 978-3-030-75801-1Published: 17 October 2021
Series ISSN: 1931-6828
Series E-ISSN: 1931-6836
Edition Number: 1
Number of Pages: XXI, 259
Number of Illustrations: 23 b/w illustrations, 191 illustrations in colour
Topics: Optimization, Operations Research, Management Science