{"product_id":"hands-on-mathematical-optimization-with-python-paperback-softback-9781009493505","title":"Hands-On Mathematical Optimization with Python (Paperback \/ softback) 9781009493505","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eHands-On Mathematical Optimization with Python\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003eA hands-on Python-based guide to mathematical optimization for undergraduates and graduates, with numerous applications and code samples.\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eKrzysztof Postek (Author), Alessandro Zocca (Author), Joaquim A. S. Gromicho (Author), Jeffrey C. Kantor (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781009493505, Cambridge University Press\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePaperback \/ softback, published 16 January 2025\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e354 pages\u003cbr\u003e25.4 x 17.8 x 2 cm, 0.68 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cem\u003e\u003cfont size=\"3\"\u003e'This book fills a gap in the literature. It is a bridge between computer programming and mathematical optimization.' Joao Faria, Florida Atlantic University\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eThis practical guide to optimization combines mathematical theory with hands-on coding examples to explore how Python can be used to model problems and obtain the best possible solutions. Presenting a balance of theory and practical applications, it is the ideal resource for upper-undergraduate and graduate students in applied mathematics, data science, business, industrial engineering and operations research, as well as practitioners in related fields. Beginning with an introduction to the concept of optimization, this text presents the key ingredients of an optimization problem and the choices one needs to make when modeling a real-life problem mathematically. Topics covered range from linear and network optimization to convex optimization and optimizations under uncertainty. The book's Python code snippets, alongside more than 50 Jupyter notebooks on the author's GitHub, allow students to put the theory into practice and solve problems inspired by real-life challenges, while numerous exercises sharpen students' understanding of the methods discussed.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e1. Mathematical optimization\u003cbr\u003e 2. Linear optimization\u003cbr\u003e 3. Mixed-integer linear optimization\u003cbr\u003e 4. Network optimization\u003cbr\u003e 5. Convex optimization\u003cbr\u003e 6. Conic optimization\u003cbr\u003e 7. Accounting for uncertainty: Optimization meets reality\u003cbr\u003e 8. Robust optimization\u003cbr\u003e 9. Stochastic optimization\u003cbr\u003e 10. Two-stage problems\u003cbr\u003e Appendix A. Linear algebra primer\u003cbr\u003e Appendix B. Solutions of selected exercises\u003cbr\u003e List of Tables\u003cbr\u003e List of Figures\u003cbr\u003e Index.\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Optimization [\u003ca title=\"See our other books on Optimization\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Optimization%20%5BPBU%5D%22\"\u003ePBU\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Cambridge University Press","offers":[{"title":"Brand New","offer_id":52458440032536,"sku":"9781009493505","price":34.59,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781009493505i.jpg?v=1785373052","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/hands-on-mathematical-optimization-with-python-paperback-softback-9781009493505","provider":"Freshly Printed Books","version":"1.0","type":"link"}