Combinatorial, Linear, Integer and Nonlinear Optimization Apps COLINA Grande
Language: English
Published by Springer, 2021
Series: Book 170 of 176 - Springer Optimization and Its Applications
- Hardcover
- New

Condition: New
US$ 83.71
Quantity: 2 available
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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. Sprache: Englisch Gewicht in Gramm: 952.…
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- Title
- Combinatorial, Linear, Integer and Nonlinear Optimization Apps COLINA Grande
- Author
- J. MacGregor Smith
- Publisher
- Springer
- Publication year
- 2021
- Condition
- Neu
- Binding
- Gebundene Ausgabe
- Language
- English
- ISBN 10
- 3030758001
- ISBN 13
- 9783030758004
- Item weight
- 952 grams
- Series
- Book 170 of 176: Springer Optimization and Its Applications
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 related mathematics.
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