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Uncertain graph and network optimization

Record Type:	Electronic resources : Monograph/item
Title/Author:	Uncertain graph and network optimizationby Bo Zhang, Jin Peng.
Author:	Zhang, Bo.
other author:	Peng, Jin.
Published:	Singapore :Springer Nature Singapore :2022.
Description:	xvii, 130 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Uncertainty (Information theory)
Online resource:	https://doi.org/10.1007/978-981-19-1472-0
ISBN:	9789811914720$q(electronic bk.)

Uncertain graph and network optimization
Zhang, Bo.

Uncertain graph and network optimization[electronic resource] /by Bo Zhang, Jin Peng. - Singapore :Springer Nature Singapore :2022. - xvii, 130 p. :ill., digital ;24 cm. - Springer uncertainty research,2199-3815. - Springer uncertainty research..

Introduction -- Graph and Network -- Uncertainty Theory -- Uncertain Programming -- Uncertain Graph -- Uncertain Network Optimization -- Applications of Uncertain Network Optimization.

This first book focuses on uncertain graph and network optimization. It covers three different main contents: uncertain graph, uncertain programming and uncertain network optimization. It also presents applications of uncertain network optimization in a lot of real problems such as transportation problems, dispatching medical supplies problems and location problems. The book is suitable for researchers, engineers, teachers and students in the field of mathematics, information science, computer science, decision science, management science and engineering, artificial intelligence, industrial engineering, economics and operations research.

ISBN: 9789811914720$q(electronic bk.)

Standard No.: 10.1007/978-981-19-1472-0doiSubjects--Topical Terms:

206405
Uncertainty (Information theory)

LC Class. No.: Q375

Dewey Class. No.: 003.54

Uncertain graph and network optimization
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520 $a This first book focuses on uncertain graph and network optimization. It covers three different main contents: uncertain graph, uncertain programming and uncertain network optimization. It also presents applications of uncertain network optimization in a lot of real problems such as transportation problems, dispatching medical supplies problems and location problems. The book is suitable for researchers, engineers, teachers and students in the field of mathematics, information science, computer science, decision science, management science and engineering, artificial intelligence, industrial engineering, economics and operations research.
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