TY  - BOOK
AU  - Postek,Krzysztof
AU  - Zocca,Alessandro
AU  - Gromicho, Joaquim A. S. 
AU  - Kantor, Jeffrey C. 
TI  -  Hands-on mathematical optimization with Python / by 
SN  - 9781009493505
U1  - 519.60285 T24 
PY  - 2024///.
CY  - Cambridge, United Kingdom ; 
PB  - Cambridge University Press, 
KW  - Mathematical optimization
KW  - Python (Computer program language)
KW  - Mathematical optimization--Computer programs
KW  - Optimal stopping (Mathematical statistics)
N1  - 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
N2  - 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
ER  -