FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical Books all over the World

 Title Graph Theory  Advanced Algorithms and Applications
 Author(s) Beril Sirmacek
 Publisher: INTECH (January 31, 2018)
 License(s): CC BY 3.0
 Hardcover 196 pages
 eBook PDF Files
 Language: English
 ISBN10: N/A
 ISBN13: 9789535137726
 Share This:
Book Description
This book is prepared as a combination of the manuscripts submitted by respected mathematicians and scientists around the world. As an editor, The author truly enjoyed reading each manuscript. Not only will the methods and explanations help you to understand more about graph theory, but The author also hopes you will find it joyful to discover ways that you can apply graph theory in your scientific field.
The author believes the book can be read from the beginning to the end at once. However, the book can also be used as a reference guide in order to turn back to it when it is needed. The author has to mention that this book assumes the reader to have a basic knowledge about graph theory.
The very basics of the theory and terms are not explained at the beginner level. This book will support many applied and research scientists from different scientific fields.
About the Authors Beril Sirmacek holds a PhD degree in Electronics Engineering. During her PhD study, she has visited and worked in the most active remote sensing data processing laboratories around Europe (such as the remote sensing laboratory at University of Trento in Italy, Technical University of Munich in Germany, and French research institution INRIA in France). Following her PhD research, she started working as a research fellow at the German Aeronautics and Space Research Centre (DLR) in 2009, and besides that, she started to go through a threeyear long habilitation research and study in the Institute of Geoinformatics at the University of OsnabrÃ¼ck in 2011.
 Graph Theory
 Algorithms and Data Structures
 Operations Research (OR), Linear Programming, Optimization, and Approximation
 Computational and Algorithmic Mathematics
 Computational Complexity
 Graph Theory  Advanced Algorithms and Applications (Beril Sirmacek)
 PDF Format
 The Mirror Site (1)  PDF

Graph Theory (Reinhard Diestel)
This book covers the core material of the subject with concise yet reliably complete proofs, while offering glimpses of more advanced methods in each field by one or two deeper results, again with proofs given in full detail.

Probability on Trees and Networks (Russell Lyons, et al.)
This book is concerned with certain aspects of discrete probability on infinite graphs that are currently in vigorous development. Of course, finite graphs are analyzed as well, but usually with the aim of understanding infinite graphs and networks.

Random Graphs and Complex Networks (Remco van der Hofstad)
This rigorous introduction to network science presents Random Graphs as models for realworld networks. Such networks have distinctive empirical properties and a wealth of new models have emerged to capture them.

Graph Algorithms: Practical Examples in Apache Spark and Neo4j
This book is a practical guide to getting started with graph algorithms for developers and data scientists who have experience using Apache Spark or Neo4j. You'll walk through handson examples that show you how to use graph algorithms in Apache Spark/Neo4j.

A Survey of Statistical Network Models (Anna Goldenberg, et al.)
This book aims to provide the reader with an entry point to the voluminous literature on statistical network modeling. It guides the reader through the development of key stochastic network models, touches upon a number of examples and commonalities.

Graph Theory and Complex Networks (Maarten van Steen)
This book aims to explain the basics of graph theory that are needed at an introductory level for students in computer or information sciences. It also aims to provide an introduction to the modern field of network science.

Lecture Notes on Graph Theory (Tero Harju)
These are introductory lecture notes on graph theory. It offers undergraduates a remarkably studentfriendly introduction to graph theory and takes an engaging approach that emphasizes graph theory's history.

Algorithmic Graph Theory (David Joyner, et al)
This is an introductory book on algorithmic graph theory. Theory and algorithms are illustrated using the Sage open source mathematics software. It's especially suitable for computer scientists and mathematicians interested in computational complexity.
:






















