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How to solve real-world optimization problemsfrom theory to practice /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	How to solve real-world optimization problemsby Eugene J. Zak.
其他題名:	from theory to practice /
作者:	Zak, Eugene J.
出版者:	Cham :Springer Nature Switzerland :2024.
面頁冊數:	xix, 115 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Mathematical optimization.
電子資源:	https://doi.org/10.1007/978-3-031-49838-1
ISBN:	9783031498381$q(electronic bk.)

How to solve real-world optimization problemsfrom theory to practice /
Zak, Eugene J.

How to solve real-world optimization problemsfrom theory to practice /[electronic resource] :by Eugene J. Zak. - Cham :Springer Nature Switzerland :2024. - xix, 115 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in operations research,2195-0504. - 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.

ISBN: 9783031498381$q(electronic bk.)

Standard No.: 10.1007/978-3-031-49838-1doiSubjects--Topical Terms:

183292
Mathematical optimization.

LC Class. No.: QA402.5

Dewey Class. No.: 519.6

How to solve real-world optimization problemsfrom theory to practice /
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520 $a 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.
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