J. MacGregor Smith
Combinatorial, Linear, Integer and Nonlinear Optimization Apps: COLINA Grande
Combinatorial, Linear, Integer and Nonlinear Optimization Apps: COLINA Grande
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This textbook provides an introduction to optimization and modeling for upper-level undergraduate students in engineering and mathematics, using concepts and techniques from operations research and computer science. It includes examples and apps developed through App Inventor and AMPL software, and links to the University of Wisconsin NEOS server for handling complex optimization problems.
Format: Hardback
Length: 259 pages
Publication date: 18 October 2021
Publisher: Springer Nature Switzerland AG
This comprehensive textbook serves as an essential guide for upper-level undergraduate students in engineering and mathematics, delving into the realm of optimization and modeling. It offers a foundational understanding of these crucial concepts through the application of principles and techniques from operations research, including Combinatorial Optimization, Linear Programming, and Integer and Nonlinear Programming (COLIN). Computer Science (CS) plays a pivotal role in this field, as algorithms and their applications (A) are instrumental in solving optimization problems.
Each chapter in the textbook provides a comprehensive overview of the main optimization concepts, aligned with COLINA. These concepts are illustrated through practical examples using the App Inventor and AMPL software applications. Furthermore, all the apps developed throughout the text are readily available for download, allowing students to further explore and apply the learned concepts.
In addition to the core content, the textbook includes links to the University of Wisconsin NEOS server, a dedicated platform designed to handle complex optimization problems with increased computing demands. This resource empowers readers to tackle challenging optimization scenarios and expand their knowledge in this field.
It is highly recommended that readers possess a solid background in calculus, linear algebra, and related mathematics before embarking on this textbook. By grasping these foundational principles, students will be well-equipped to excel in optimization and modeling, which are essential tools in today's competitive engineering and mathematics disciplines.
Weight: 1035g
Dimension: 279 x 210 (mm)
ISBN-13: 9783030758004
Edition number: 1st ed. 2021
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