Hands-on mathematical optimization with Python / by Krzysztof Postek [et. al].

By:

Postek, Krzysztof

Contributor(s):

Material type: Text

TextLanguage: English Publication details: Cambridge, United Kingdom ; Cambridge University Press, 2024. Description: xv, 334pISBN:

9781009493505

Subject(s):

DDC classification:

519.60285 T24 POS Z

Contents:

1. Mathematical optimization 2. Linear optimization 3. Mixed-integer linear optimization 4. Network optimization 5. Convex optimization 6. Conic optimization 7. Accounting for uncertainty: Optimization meets reality 8. Robust optimization 9. Stochastic optimization 10. Two-stage problems Appendix A. Linear algebra primer Appendix B. Solutions of selected exercises List of Tables List of Figures Index.

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

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Item type	Current library	Call number	Status	Date due	Barcode
Books	Nalanda Library Circulation Books	519. 60285 T24 POS Z (Browse shelf(Opens below))	Checked out	26/05/2026	22814

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Including indexes.

1. Mathematical optimization
2. Linear optimization
3. Mixed-integer linear optimization
4. Network optimization
5. Convex optimization
6. Conic optimization
7. Accounting for uncertainty: Optimization meets reality
8. Robust optimization
9. Stochastic optimization
10. Two-stage problems
Appendix A. Linear algebra primer
Appendix B. Solutions of selected exercises
List of Tables
List of Figures
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

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