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How to Solve Real-world Optimization Problems: From Theory to Practice

English

By (author): Eugene J. Zak

Written by an experienced operations research practitioner with a strong applied mathematics background, this book offers practical insights into how to approach optimization problems, how to develop intelligent and efficient mathematical models and algorithms, and how to implement and deliver software products to customers. With a focus on revealing the similarities and differences between academia and industry in mathematical modeling, the book provides useful tips and advice based on the authors extensive experience as a principal developer working to solve real-world optimization problems for several major high-tech companies.

The book offers valuable food for thought for researchers and practical guidance for graduate students preparing for their future projects in the industry. It is also an essential resource for practitioners working in the industrial, business, and service sectors.


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Current price €42.49
Original price €49.99
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A01=Eugene J. ZakAge Group_UncategorizedAuthor_Eugene J. Zakautomatic-updateB01=Anne PetersB01=Tom SparksCategory1=Non-FictionCategory=KJTCategory=PBUCategory=PBWHCategory=TBJCategory=UMZCOP=SwitzerlandDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€20 to €50PS=Activesoftlaunch

Will deliver when available. Publication date 23 Mar 2024

Product Details
  • Dimensions: 155 x 235mm
  • Publication Date: 02 Mar 2024
  • Publisher: Springer International Publishing AG
  • Publication City/Country: Switzerland
  • Language: English
  • ISBN13: 9783031498374

About Eugene J. Zak

Eugene Zak is an applied mathematician and enterprise-level software developer. He holds a Ph.D. in Applied Mathematics from Moscow Institute of Physics and Technology Russia and received the INFORMS 2011 Edelman Prize in Operations Research and Analytics. His areas of expertise include mathematical modeling optimization and software design and development. Eugene has worked at Amazon Alstom Grid IBM and a number of start-up companies.

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