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A Guide to Graph Algorithms

Record Type:	Language materials, printed : Monograph/item
Title/Author:	A Guide to Graph Algorithms/ by Ton Kloks, Mingyu Xiao.
Author:	Kloks, Ton.
other author:	Xiao, Mingyu.
Description:	XV, 340 p. 1 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Discrete Mathematics in Computer Science. -
Online resource:	https://doi.org/10.1007/978-981-16-6350-5
ISBN:	9789811663505

A Guide to Graph Algorithms
Kloks, Ton.

A Guide to Graph Algorithms[electronic resource] /by Ton Kloks, Mingyu Xiao. - 1st ed. 2022. - XV, 340 p. 1 illus.online resource.

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.

ISBN: 9789811663505

Standard No.: 10.1007/978-981-16-6350-5doiSubjects--Topical Terms:

670123
Discrete Mathematics in Computer Science.

LC Class. No.: QA9.58

Dewey Class. No.: 005.13

A Guide to Graph Algorithms
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520 $a 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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