How to Solve Real-world Optimization Problems

From Theory to Practice
1. Auflage 2024
ISBN: 978-3-031-49837-4
Verlag: Springer Nature Switzerland

Buch, Englisch, 115 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 224 g

Reihe: SpringerBriefs in Operations Research

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.

Zielgruppe

Research

Autoren/Hrsg.

Zak, Eugene J.

Fachgebiete

• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Computeranwendungen in der Mathematik
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Optimierung
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen

Inhaltsverzeichnis

Practical tips.- Real-world problems.

Über Autor(innen)

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.