A Guide to Graph Algorithms
Kloks, Ton
A Guide to Graph Algorithms by Ton Kloks, Mingyu Xiao - First edition 2022 - 1 recurso en línea (XV, 340 páginas) 1 ilustraciones
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.
9789811663505
10.1007/978-981-16-6350-5 doi
Algoritmos
QA166.245 / 2022 EB
A Guide to Graph Algorithms by Ton Kloks, Mingyu Xiao - First edition 2022 - 1 recurso en línea (XV, 340 páginas) 1 ilustraciones
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.
9789811663505
10.1007/978-981-16-6350-5 doi
Algoritmos
QA166.245 / 2022 EB