01674nam a22002777a 4500 20260313191039.0 260313b |||||||| |||| 00| 0 eng d 9781009493505 eng 519.60285 T24 POS Z Postek, Krzysztof 23685 Hands-on mathematical optimization with Python / by Krzysztof Postek [et. al]. Cambridge, United Kingdom ; Cambridge University Press, 2024. xv, 334p. 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 Mathematical optimization 23504 Python (Computer program language) 23127 Mathematical optimization--Computer programs 23689 Optimal stopping (Mathematical statistics) 23690 Zocca, Alessandro 23686 Gromicho, Joaquim A. S. 23687 Kantor, Jeffrey C. 23688 BK 31557 31557 0 0 0 0 CLIB CLIB IITRPR 2026-03-13 1 1 519. 60285 T24 POS Z 22814 2026-05-26 2026-03-27 18:25:53 2026-03-27 2026-03-13 BK