| Hands-On Mathematical Optimization with Python (Cambridge University Press) |
| Friday, 06 June 2025 | |||
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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. Krzysztof Postek et al present a balance of theory and practical applications. <ASIN:1009493507>
Author: Krzysztof Postek, Alessandro Zocca, Joaquim A. S. Gromicho and Jeffrey C. Kantor
Beginning with an introduction to the concept of optimization, the book presents the key ingredients of an optimization problem and the choices one needs to make when modeling a real-life problem mathematically. Topics covered range from linear and network optimization to convex optimization and optimizations under uncertainty. The book's Python code snippets, alongside more than 50 Jupyter notebooks, are available on the author's GitHub. For recommendations of Python books see Books for Pythonistas and Python Books For Beginners in our Programmer's Bookshelf section. For more Book Watch just click. Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed. To have new titles included in Book Watch contact BookWatch@i-programmer.info Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.
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