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Hands-On Mathematical Optimization with Python

Coming soon in February 2025

Authors

, Boston Consulting Group, Amsterdam, , Vrije Universiteit Amsterdam, , University of Amsterdam & ORTEC, , University of Notre Dame, Indiana

Description

This practical guide to optimization combines mathematical theory with hands-on coding examples to explore how Python can be used to model problems and obtain the best possible solutions. Presenting a balance of theory and practical applications, it is the ideal resource for upper-undergraduate and graduate students in applied mathematics, data science, business, industrial engineering and operations research, as well as practitioners in related fields. Beginning with an introduction to the concept of optimization, this text presents the key ingredients of…

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Key features

  • Covers all the mathematical fundamentals needed to understand how to implement and solve optimization problems, with a good balance between applications and theory
  • Focuses on active learning, with numerous examples, exercises and code samples to build a deeper understanding
  • Employs more than 50 Jupyter notebooks with optimization applications, allowing students to see how the theoretical constructs drive solutions to real-life problems
  • Highlights the impact that uncertainty might have on solutions of optimization problems and teaches various approaches to handle it
  • Explores the choices one needs to make when modeling a real-life problem mathematically

About the book

  • Subjects Control Systems and Optimisation,Engineering,Mathematics,Optimisation
  • Format: Paperback
    • Expected publication date: 03 April 2025
    • ISBN: 9781009493505
    • Dimensions (mm): 254 x 178 mm
    • Weight: 0.68kg
    • Page extent: 354 pages
    • Availability: Not yet published - available from
  • Format: Digital
    • Expected publication date: 27 February 2025
    • ISBN: 9781009493512

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