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


 Title Algorithmic Graph Theory
 Authors David Joyner, Minh Van Nguyen, Nathann Cohen
 Publisher: Google (Last draft on May 10, 2013)
 License(s): GNU GPL v2
 Paperback: N/A
 eBook: PDF, ePub, Kindle, etc.
 Language: English
 ISBN10: N/A
 ISBN13: N/A
 Share This:
Book Description
This is an introductory book on algorithmic graph theory. Theory and algorithms are illustrated using the Sage open source mathematics software. To get an overview of the book, you can view the table of contents as shown below or download the complete book. This book is more commonly known as the "DaMNeD" book if you notice how our names are used to abbreviate the book.
This is a textbook on graph theory, especially suitable for computer scientists but also suitable for mathematicians with an interest in computational complexity.
Although it introduces most of the classical concepts of pure and applied graph theory (spanning trees, connectivity, genus, colourability, flows in networks, matchings and traversals) and covers many of the major classical theorems, the emphasis is on algorithms and thier complexity: which graph problems have known efficient solutions and which are intractable.
About the Authors N/A
 Graph Theory
 Algorithms and Data Structures
 Computational and Algorithmic Mathematics
 Mathematical and Computational Software, MATLAB, etc.
 Computer Network and Communications
 Geometry and Topology
 Combinatorics and Game Theory
 Discrete and Finite Mathematics
 Algorithmic Graph Theory (David Joyner, et al.)
 The Mirror Site (1)  PDF
 The Mirror Site (2)  PDF, ePub, Kindle, etc.

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.

Graph Theory  Advanced Algorithms and Applications
Not only will the methods and explanations help you to understand more about graph theory, but you will find it joyful to discover ways that you can apply graph theory in your applications or scientific research.

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.

Network Science (AlbertLászló Barabási)
Illustrated throughout in full colour, this pioneering textbook, spanning a wide range of topics from physics to computer science, engineering, economics and the social sciences, introduces network science to an interdisciplinary audience.

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.

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.

Explorations in Algebraic Graph Theory (Chris Godsil, et al.)
This book aims to express properties of graphs in algebraic terms, then to deduce theorems about them. It tackles the applications of linear algebra and matrix theory to the study of graphs; algebraic constructions such as adjacency matrix, using the Sage.

An Introduction to Combinatorics and Graph Theory
This book walks the reader through the classic parts of Combinatorics and graph theory, while also discussing some recent progress in the area: on the one hand, providing material that will help students learn the basic techniques.

Graph Databases: New Opportunities for Connected Data
This book provides a practical foundation for those who want to apply Graph Database to realworld business solutions. You'll learn why graph database are useful, where they're applicable, and how to design and implement solutions that use them.
:






















