Combinatorial, Linear, Integer and Nonlinear Optimization Apps : COLINA Grande
Language: English
Published by Springer, 2022
Series: Book 170 of 176 - Springer Optimization and Its Applications
- Softcover
- Used

Seller: Buchpark, Trebbin, GermanyBuchpark
AbeBooks seller since September 30, 2021
Condition: Used - Fine
US$ 54.20
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Zustand: Sehr gut | Seiten: 284 | Sprache: Englisch | Produktart: Bücher | 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.…
Seller Inventory # 40726779/2
- Title
- Combinatorial, Linear, Integer and Nonlinear Optimization Apps : COLINA Grande
- Author
- MacGregor Smith, J.
- Publisher
- Springer
- Publication year
- 2022
- Condition
- Sehr gut
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3030758036
- ISBN 13
- 9783030758035
- Series
- Book 170 of 176: Springer Optimization and Its Applications
- Seller catalogs
- Bücher
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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