Combinatorial, Linear, Integer and Nonlinear Optimization Apps: COLINA Grande

Combinatorial, Linear, Integer and Nonlinear Optimization Apps: COLINA Grande

by J. MacGregor Smith
Combinatorial, Linear, Integer and Nonlinear Optimization Apps: COLINA Grande

Combinatorial, Linear, Integer and Nonlinear Optimization Apps: COLINA Grande

by J. MacGregor Smith

eBook1st ed. 2021 (1st ed. 2021)

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Overview

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.


Product Details

ISBN-13: 9783030758011
Publisher: Springer-Verlag New York, LLC
Publication date: 10/17/2021
Series: Springer Optimization and Its Applications , #175
Sold by: Barnes & Noble
Format: eBook
File size: 215 MB
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About the Author

Professor Smith has a Ph.D. in Mechanical and Industrial Engineering (MIE) from the University of Illinois, Champaign-Urbana. He is currently a full professor in the MIE Department at the University of Massachusetts, Amherst. His research concerns performance modeling of stochastic and deterministic networks. His experience in teaching optimization laid the foundation for this COLINA Volume.

Table of Contents

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