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How to Solve Real-world Optimization Problems - Eugene J. Zak

How to Solve Real-world Optimization Problems

From Theory to Practice

(Autor)

Buch | Softcover
XIX, 115 Seiten
2024 | 2024
Springer International Publishing (Verlag)
978-3-031-49837-4 (ISBN)
CHF 67,35 inkl. MwSt

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.


lt;p>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.


Practical tips.- Real-world problems.

Erscheinungsdatum
Reihe/Serie SpringerBriefs in Operations Research
Zusatzinfo XIX, 115 p. 43 illus., 41 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Wirtschaft Allgemeines / Lexika
Wirtschaft Betriebswirtschaft / Management
Schlagworte Applications in optimization • Continuous Optimization • Discrete Optimization • Duality • Heuristic Algorithms • Lexicographical optimization • mathematical model • Optimal Solutions
ISBN-10 3-031-49837-2 / 3031498372
ISBN-13 978-3-031-49837-4 / 9783031498374
Zustand Neuware
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