Postek, Krzysztof <br/><br/>
Hands-on mathematical optimization with Python / by  
Krzysztof Postek [et. al]. 
 - Cambridge, United Kingdom ;   Cambridge University Press,   2024.  
 - xv, 334p.  
<br/><br/> Including indexes.  
<br/><br/>1. Mathematical optimization<br/>2. Linear optimization<br/>3. Mixed-integer linear optimization<br/>4. Network optimization<br/>5. Convex optimization<br/>6. Conic optimization<br/>7. Accounting for uncertainty: Optimization meets reality<br/>8. Robust optimization<br/>9. Stochastic optimization<br/>10. Two-stage problems<br/>Appendix A. Linear algebra primer<br/>Appendix B. Solutions of selected exercises<br/>List of Tables<br/>List of Figures<br/>Index. 
<br/><br/> 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 
<br/><br/><label>ISBN: </label>9781009493505 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Mathematical optimization<br/>Python (Computer program language)<br/>Mathematical optimization--Computer programs<br/>Optimal stopping (Mathematical statistics)
<br/><br/><label>Dewey Class. No.: </label>519.60285 T24  / POS Z