Combinatorial, Linear, Integer and Nonlinear Optimization Apps

J. MacGregor Smith

ISBN 10: 3030758036 / ISBN 13: 9783030758035

Published by Springer International Publishing, Springer International Publishing Okt 2022, 2022

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 284 pp. Englisch.

Seller Inventory # 9783030758035

Bibliographic Details

• Title: Combinatorial, Linear, Integer and Nonlinear Optimization Apps
• Publisher: Springer International Publishing, Springer International Publishing Okt 2022
• Publication Date: 2022
• Language: English
• ISBN 10: 3030758036
• ISBN 13: 9783030758035
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 279W x 210H x 16D millimeters 279 millimeters width by 210 millimeters height by 16 millimeters depth
• Weight: 699 grams

About this title

Synopsis

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.

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.