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X-WR-CALNAME:EURO Practitioners&#039; Forum
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DTSTART:20230101T000000
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DTSTART;TZID=UTC:20240202T100000
DTEND;TZID=UTC:20240202T110000
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CREATED:20231230T160525Z
LAST-MODIFIED:20231230T173014Z
UID:1479-1706868000-1706871600@www.euro-online.org
SUMMARY:Hands-on Mathematical Optimization with Python
DESCRIPTION:Speaker: Joaquim Gromicho\, Professor of Business Analytics at the University of Amsterdam and Science and Education Officer at ORTEC \nIn the era of generative AI and powerful ML packages prevalent in the Python ecosystem\, the significance of Mathematical Optimization remains paramount. Recognizing the historical confinement of this tool to the realm of Operations Research experts\, Krzysztof Postek\, Alessandro Zocca\, Jeff Kantor\, and I have embarked on a mission to democratize its accessibility. In our collaborative effort\, we’ve authored a hands-on\, accessible yet ambitious manual\, tailored for a diverse audience\, including students and professionals. This comprehensive guide not only delves into traditional (mixed-integer) linear optimization but also explores network\, convex\, conic\, stochastic\, and robust optimization. \nScheduled for release by Cambridge University Press as an inexpensive textbook in 2024\, our book\, also available under a Green Open Access license\, is designed to empower learners with practical insights. The latest prepublication version is accessible at https://ortec.com/en/featured-insights/insights/math-optimization-python. Realistic examples accompany each topic\, and to further enhance the learning experience\, we provide an online companion. This resource comprises 50+ fully functional notebooks readily deployable in Google Colab\, serving as practical starting points to address diverse real-life challenges you may encounter. \nFor your convenience\, the companion is available at https://mobook.github.io/MO-book/intro.html\, within the permissive MIT license. Note that AMPL ported it to their own modelling language at https://mo-book.ampl.com/. \n\n\nDuring this webinar\, I will demonstrate representative content of the book in action and will also showcase how ChatGPT serves as a valuable collaborator in my professional endeavors\, offering insights into its role in my workflow. \n\n\n\n\n\n\n\n\n\nJoaquim A.S. Gromicho acts as Science and Education Officer for ORTEC and is full professor of Business Analytics at the University of Amsterdam. He received his PhD in Optimization in 1995 from the Erasmus University Rotterdam\, before spending two years as Assistant Professor at the University of Lisbon. He serves the Dutch Statistics and OR Society as editor in chief of STAtOR\, a magazine on applications and impact\, and the steering committee of the EURO Practitioner’s Forum. \n \n\n\n\n\n\n\nEURO Practitioners’ Forum past and planned activities are available to the Forum members\, as well as the wider public. \nVisit the website and register as a member for free\, to get the regular updates on all activities: EPF Member registration page. The recordings and details from previous webinars are also available on this website. \nFollow the Forum on Twitter and LinkedIN \, and feel free to get in touch. \nEURO Practitioners’ Forum webinars organisers: Sofiane Oussedik (IBM)\, Joaquim Gromicho (ORTEC)\, Torkel Haufmann (Sintef)\, Adisa Mujezinovic
URL:https://www.euro-online.org/websites/or-in-practice/event/hands-on-mathematical-optimization-with-python/
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