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


 Title Digraphs: Theory, Algorithms and Applications
 Authors Jørgen BangJensen, Gregory Gutin
 Publisher: Springer; 2nd Edition. edition (September 30, 2010)
 Paperback: 820 pages
 eBook: PDF, 3.6 MB
 Language: English
 ISBN10: 085729041X
 ISBN13: 9780857290410
 Share This:
Book Description
The theory of directed graphs has developed enormously over recent decades, yet this book (first published in 2000) remains the only book to cover more than a small fraction of the results. New research in the field has made a second edition a necessity.
Substantially revised, reorganised and updated, the book now comprises eighteen chapters, carefully arranged in a straightforward and logical manner, with many new results and open problems.
As well as covering the theoretical aspects of the subject, with detailed proofs of many important results, the authors present a number of algorithms, and whole chapters are devoted to topics such as branchings, feedback arc and vertex sets, connectivity augmentations, sparse subdigraphs with prescribed connectivity, and also packing, covering and decompositions of digraphs. Throughout the book, there is a strong focus on applications which include quantum mechanics, bioinformatics, embedded computing, and the travelling salesman problem.
Detailed indices and topicoriented chapters ease navigation, and more than 650 exercises, 170 figures and 150 open problems are included to help immerse the reader in all aspects of the subject.
Digraphs is an essential, comprehensive reference for undergraduate and graduate students, and researchers in mathematics, operations research and computer science. It will also prove invaluable to specialists in related areas, such as meteorology, physics and computational biology.
About the Authors Jørgen BangJensen is a Professor in the Department of Mathematics and Computer Science at the University of Southern Denmark, Odense, Denmark.
 Gregory Gutin is Professor of Computer Science at Royal Holloway College, University of London, UK.
 Graph Theory
 Algorithms and Data Structures
 Combinatorics and Game Theory
 Discrete and Finite Mathematics
 Operations Research (OR), Linear Programming, Optimization, and Approximation
 Digraphs: Theory, Algorithms and Applications (Jørgen BangJensen, et al)
 The Mirror Site (1)  PDF
 The Mirror Site (2)  PDF
 The Mirror Site (3)  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.

Planar Maps, Random Walks and Circle Packing (Asaf Nachmias)
This open access book focuses on the interplay between random walks on planar maps and Koebe’s circle packing theorem. Entirely selfcontained. Many classical proofs have been simplified and streamlined. Contains numerous useful exercises.

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.

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.

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.

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.

Advances in Graph Algorithms (Ton Kloks, et al.)
This is a book about some currently popular topics such as exponential algorithms, fixedparameter algorithms and algorithms using decomposition trees of graphs which is one of focuses of the book  occupied a whole chapter.

Graph Theory with Applications (J.A. Bondy, et al.)
The primary aim of this book is to present a coherent introduction to graph theory, suitable as a textbook for advanced undergraduate and beginning graduate students in mathematics and computer science.
:






















