How to Solve Real-world Optimization Problems

From Theory to Practice de

Éditeur :

Springer


Paru le : 2024-03-01

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Description

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.
“The book’s presentation style is very enjoyable, and Zak keeps the focus on the practical aspects of the problems as they occur in the industry. Though practitioners are the primary target audience, students and academics can also benefit from the book as are reference to the current state of the art.” (Paparao Kavalipati, Computing Reviews, January 3, 2025) 
 
Pages
115 pages
Collection
n.c
Parution
2024-03-01
Marque
Springer
EAN papier
9783031498374
EAN PDF
9783031498381

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
11
Taille du fichier
3932 Ko
Prix
52,74 €
EAN EPUB
9783031498381

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
11
Taille du fichier
5837 Ko
Prix
52,74 €

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