Springer Optimization and Its Applications
cover

Combinatorial, Linear, Integer and Nonlinear Optimization Apps

COLINA Grande

Authors: MacGregor Smith, James MacGregor

  • Conceptually explains real world optimization problems which are then demonstrated with practical software apps
  • Brings optimization down to the students’ personal lives and experiences and gives them a marketable skill
  • Allows the students to implement a project idea from inception to implementation on their phone or tablet
  • Gives students access to state of the art software tools such as App Iniventor and AMPL optimization and mathematical programming software
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Buy this book

eBook $54.99
price for USA in USD
  • Due: December 6, 2021
  • ISBN 978-3-030-75801-1
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover $69.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: November 8, 2021
  • ISBN 978-3-030-75800-4
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
About this Textbook

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.

About the authors

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.

Buy this book

eBook $54.99
price for USA in USD
  • Due: December 6, 2021
  • ISBN 978-3-030-75801-1
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover $69.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: November 8, 2021
  • ISBN 978-3-030-75800-4
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
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Bibliographic Information

Bibliographic Information
Book Title
Combinatorial, Linear, Integer and Nonlinear Optimization Apps
Book Subtitle
COLINA Grande
Authors
Series Title
Springer Optimization and Its Applications
Series Volume
175
Copyright
2021
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-75801-1
DOI
10.1007/978-3-030-75801-1
Hardcover ISBN
978-3-030-75800-4
Series ISSN
1931-6828
Edition Number
1
Number of Pages
XXI, 259
Number of Illustrations
21 b/w illustrations, 188 illustrations in colour
Topics