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A Guide to Graph Algorithms / by Ton Kloks, Mingyu Xiao

By: Kloks, Ton, autor
Contributor(s): Xiao, Mingyu, autor
Material type: materialTypeLabelE-bookPublisher: Singapore : Springer International Publising, 2022Edition: First edition 2022.Description: 1 recurso en línea (XV, 340 páginas) : 1 ilustraciones.ISBN: 9789811663505.Subject: AlgoritmosOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Chapter 1. Graphs -- Chapter 2. Algorithms -- Chapter 3. Problem Formulations -- Chapter 4. Recent Trends.
In: Springer Nature eBookSummary: This book A Guide to Graph Algorithms offers high-quality content in the research area of graph algorithms and explores the latest developments in graph algorithmics. The reader will gain a comprehensive understanding of how to use algorithms to explore graphs. It is a collection of texts that have proved to be trend setters and good examples of that. The book aims at providing the reader with a deep understanding of the structural properties of graphs that are useful for the design of efficient algorithms. These algorithms have applications in finite state machine modelling, social network theory, biology, and mathematics. The book contains many exercises, some up at present-day research-level. The exercises encourage the reader to discover new techniques by putting things in a clear perspective. A study of this book will provide the reader with many powerful tools to model and tackle problems in real-world scenarios.
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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 QA166.245 2022 EB (Browse shelf(Opens below)) Acceso electrónico eBook.16032179
Total holds: 0

Chapter 1. Graphs -- Chapter 2. Algorithms -- Chapter 3. Problem Formulations -- Chapter 4. Recent Trends.

This book A Guide to Graph Algorithms offers high-quality content in the research area of graph algorithms and explores the latest developments in graph algorithmics. The reader will gain a comprehensive understanding of how to use algorithms to explore graphs. It is a collection of texts that have proved to be trend setters and good examples of that. The book aims at providing the reader with a deep understanding of the structural properties of graphs that are useful for the design of efficient algorithms. These algorithms have applications in finite state machine modelling, social network theory, biology, and mathematics. The book contains many exercises, some up at present-day research-level. The exercises encourage the reader to discover new techniques by putting things in a clear perspective. A study of this book will provide the reader with many powerful tools to model and tackle problems in real-world scenarios.

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