Hands-on mathematical optimization with Python / Krzysztof Postek, Alessandro Zocca and Jeffrey C. Kantor

By:

Postek, Krzysztof

Contributor(s):

Material type:

TextPublication details: Cambridge : Cambridge University Press, 2025Description: xix, 334 pISBN:

9781009493505

Subject(s):

DDC classification:

519.602855133 POS-H

Summary: "A hands-on Python-based guide to mathematical optimization for undergraduates and graduates in applied math, industrial engineering and operations research programs, as well as practitioners in related fields. Focuses on practical applications, with over 50 Jupyter notebooks and extensive exercises to test understanding."-- Provided by publisher

Item type:

Books

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Current library	Call number	Status	Barcode
UMT Main Campus	519.602855133 POS-H (Browse shelf(Opens below))	Available	153820

Browsing UMT Main Campus shelves Close shelf browser (Hides shelf browser)

Previous								Next
Previous	519.6 KAM-D Dynamic optimization : the calculus of variations and optical control in economics and management/	519.6 MOD- Modern optimization methods for decision making under risk and uncertainty /	519.602462 BEL-O Optimization concepts and applications in engineering	519.602855133 POS-H Hands-on mathematical optimization with Python /	519.64 HAN- Handbook of ant colony :	519.7 BAA-C Computer algorithms : Introduction to design and analysis	519.7 BAA-C Computer algorithms:	Next

Includes bibliographical references and index.

"A hands-on Python-based guide to mathematical optimization for undergraduates and graduates in applied math, industrial engineering and operations research programs, as well as practitioners in related fields. Focuses on practical applications, with over 50 Jupyter notebooks and extensive exercises to test understanding."-- Provided by publisher

Eng

There are no comments on this title.

to post a comment.