000			01674nam a22002777a 4500
005			20260313191039.0
008			260313b |||||||| |||| 00| 0 eng d
020			_a9781009493505
041			_aeng
082			_a519.60285 T24 _bPOS Z
100	1		_aPostek, Krzysztof _923685
245			_a Hands-on mathematical optimization with Python / by _cKrzysztof Postek [et. al].
260			_aCambridge, United Kingdom ; _bCambridge University Press, _c2024.
300			_axv, 334p.
500			_aIncluding indexes.
505			_a1. 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.
520			_aA 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
650	0		_aMathematical optimization _923504
650	0		_aPython (Computer program language) _923127
650	0		_aMathematical optimization--Computer programs _923689
650	0		_aOptimal stopping (Mathematical statistics) _923690
700	1		_aZocca, Alessandro _923686
700			_aGromicho, Joaquim A. S. _923687
700			_aKantor, Jeffrey C. _923688
942			_cBK
999			_c31557 _d31557