Combinatorics and graph theory

This undergraduate text is designed for a single-semester introductory course in discrete mathematics.

This undergraduate text is designed for a single-semester introductory course in discrete mathematics.

This volume comprises the select proceedings of the annual convention of the Computer Society of India.

This volume comprises the select proceedings of the annual convention of the Computer Society of India.

SummaryVisualizing Graph Data teaches you not only how to build graph data structures, but also how to create your own dynamic and interactive visualizations using a variety of tools.

Building on the author's previous book in the series, Complex Analysis with Applications to Flows and Fields (CRC Press, 2010), Transcendental Representations with Applications to Solids and Fluids focuses on four infinite representations: series expansions, series of fractions for meromorphic functions, infinite products for functions with infinit

Unique in its approach, Models of Network Reliability: Analysis, Combinatorics, and Monte Carlo provides a brief introduction to Monte Carlo methods along with a concise exposition of reliability theory ideas.

The Handbook of Finite Translation Planes provides a comprehensive listing of all translation planes derived from a fundamental construction technique, an explanation of the classes of translation planes using both descriptions and construction methods, and thorough sketches of the major relevant theorems.

Elementary Number Theory takes an accessible approach to teaching students about the role of number theory in pure mathematics and its important applications to cryptography and other areas.

Gottfried Wilhelm Leibniz: The Polymath Who Brought Us Calculus focuses on the life and accomplishments of one of the seventeenth century's most influential mathematicians and philosophers.

Algorithmic Graph Theory and Perfect Graphs, first published in 1980, has become the classic introduction to the field.

This textbook provides a comprehensive and reader-friendly introduction to the field of computational social science (CSS).

This text provides a theoretical background for several topics in combinatorial mathematics, such as enumerative combinatorics (including partitions and Burnside's lemma), magic and Latin squares, graph theory, extremal combinatorics, mathematical games and elementary probability.

This textbook provides an exciting new addition to the area of network science featuring a stronger and more methodical link of models to their mathematical origin and explains how these relate to each other with special focus on epidemic spread on networks.

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This book describes new theories and applications of artificial neural networks, with a special focus on addressing problems in neuroscience, biology and biophysics and cognitive research.

This volume presents recent advances in the field of matrix analysis based on contributions at the MAT-TRIAD 2015 conference.

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This book addresses the challenges of social network and social media analysis in terms of prediction and inference.

This book develops a morphodynamical approach of spatial networks with a particular emphasis on infrastructure networks such as streets, roads and transportation networks (subway, train).

This is a textbook for an introductory combinatorics course that can take up one or two semesters.

The history, formulas, and most famous puzzles of graph theoryGraph theory goes back several centuries and revolves around the study of graphs-mathematical structures showing relations between objects.

Weyl group multiple Dirichlet series are generalizations of the Riemann zeta function.

This accessible book provides an introduction to the analysis and design of dynamic multiagent networks.

This is a textbook for an introductory combinatorics course that can take up one or two semesters.

Across the Board is the definitive work on chessboard problems.

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This book addresses the challenges of social network and social media analysis in terms of prediction and inference.

This textbook provides an exciting new addition to the area of network science featuring a stronger and more methodical link of models to their mathematical origin and explains how these relate to each other with special focus on epidemic spread on networks.

This textbook provides a comprehensive and reader-friendly introduction to the field of computational social science (CSS).

This volume presents recent advances in the field of matrix analysis based on contributions at the MAT-TRIAD 2015 conference.

This book presents a cross-disciplinaryapproach to smart grids, offering an invaluable basis for understanding theircomplexity and potential, and for discussing their technical, legal, economic, societal, psychologicaland security aspects.

This book explores mobilities as a key to understanding the practices that both frame and generate contemporary everyday life in the urban context.

This monograph covers different aspects of sensor network security including new emerging technologies.

This book develops a morphodynamical approach of spatial networks with a particular emphasis on infrastructure networks such as streets, roads and transportation networks (subway, train).

This compact reference surveys the full range of available structural equation modeling (SEM) methodologies.

This book focuses on increasing the energy-efficiency of electronic devices so that portable applications can have a longer stand-alone time on the same battery.

This thesis analyzes and explores the design of controlled networked dynamic systems - dubbed semi-autonomous networks.

The book focuses on Social Collective Intelligence, a term used to denote a class of socio-technical systems that combine, in a coordinated way, the strengths of humans, machines and collectives in terms of competences, knowledge and problem solving capabilities with the communication, computing and storage capabilities of advanced ICT.

The main interest of this research has been in understanding and characterizing large networks of human interactions as continuously changing objects.

This book provides an introduction to hypergraphs, its aim being to overcome the lack of recent manuscripts on this theory.

This book describes new theories and applications of artificial neural networks, with a special focus on addressing problems in neuroscience, biology and biophysics and cognitive research.

This text provides a theoretical background for several topics in combinatorial mathematics, such as enumerative combinatorics (including partitions and Burnside's lemma), magic and Latin squares, graph theory, extremal combinatorics, mathematical games and elementary probability.