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Uncertain Graph and Network Optimization / by Bo Zhang, Jin Peng

By: Zhang, Bo, autor
Contributor(s): Peng, Jin, autor
Material type: materialTypeLabelE-bookSeries: (Springer Uncertainty Research, 2199-3815).Publisher: Singapore : Springer International Publishing, 2022Edition: First edition 2022.Description: 1 recurso en línea (XVII, 130 páginas) : 24 ilustraciones.ISBN: 9789811914720.Subject: Incertidumbre (Teoría de la información) | Programación lineal | Optimización matemáticaOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Introduction -- Graph and Network -- Uncertainty Theory -- Uncertain Programming -- Uncertain Graph -- Uncertain Network Optimization -- Applications of Uncertain Network Optimization.
In: Springer Nature eBookSummary: 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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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería Q375 2022 EB (Browse shelf(Opens below)) Acceso electrónico
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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.

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