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How to Solve Real-world Optimization Problems

Eugene J. Zak
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      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 author’s 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.
      Format: CONTRIBUTORS: Eugene J. Zak EAN: 9783031498374 COUNTRY: Switzerland PAGES: WEIGHT: 0 g HEIGHT: 235 cm
      PUBLISHED BY: Springer International Publishing AG DATE PUBLISHED: 2024-03-15 CITY: GENRE: BUSINESS & ECONOMICS / Operations Research, COMPUTERS / Software Development & Engineering / General, COMPUTERS / Programming / Algorithms, COMPUTERS / Mathematical & Statistical Software, MATHEMATICS / Applied WIDTH: 155 cm SPINE:

      Book Themes:

      Management decision making, Operational research, Optimization, Mathematical modelling, Maths for engineers, Mathematical and statistical software, Algorithms and data structures, Software Engineering

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      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.
      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 author’s 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.
      Format: CONTRIBUTORS: Eugene J. Zak EAN: 9783031498374 COUNTRY: Switzerland PAGES: WEIGHT: 0 g HEIGHT: 235 cm
      PUBLISHED BY: Springer International Publishing AG DATE PUBLISHED: 2024-03-15 CITY: GENRE: BUSINESS & ECONOMICS / Operations Research, COMPUTERS / Software Development & Engineering / General, COMPUTERS / Programming / Algorithms, COMPUTERS / Mathematical & Statistical Software, MATHEMATICS / Applied WIDTH: 155 cm SPINE:

      Book Themes:

      Management decision making, Operational research, Optimization, Mathematical modelling, Maths for engineers, Mathematical and statistical software, Algorithms and data structures, Software Engineering

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      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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