Parallel and Distributed Computing and Networks

'Trust' is used in a variety of ways in computing literature, and social trust is emerging as an important computational problem. In open, distributed systems, like the web, people and organizations

For graduate-level neural network courses offered in the departments of Computer Engineering, Electrical Engineering, and Computer Science. Neural Networks and Learning Machines, Third Edition i

This collection of articles aims at revitalizing the study of kinship and exchange in a social network perspective. It brings together studies of empirical systems of marriage and descent with investigations of the flow of material resources in societies of Africa, Asia, the Pacific and Europe. Restudies of classic ethnographic cases and fieldwork studies of kinship and exchange demonstrate how the social and material aspects of society are related, and address issues of concern to anthropology and the neighbouring disciplines of history, sociology and economics. This book marks the emergence of an era in the study of kinship and exchange using a productive combination of ethnographic substance with formal methods, one which leaves behind older structural-functionalist and culturalist assumptions.

The advancement of large scale integrated circuit technology has enabled the construction of complex interconnection networks. Graph theory provides a fundamental tool for designing and analyzing such

This book responds to the growing need to secure critical infrastructure by creating a starting place for new researchers in secure telecommunications networks. It is the first book to discuss securin

Grid Computing: Achievements and Prospects,the 9thedited volume of the CoreGRID series, includes selected papers from the CoreGRID Integration Workshop, held April 2008 in Heraklion-Crete

Polymeric Liquids & Networks: Dynamics and Rheology is the second part of a two-volume treatise serving as a status report on a broad area of polymer science research. It represents an effort to unify

In future the UK's energy supplies, for both heat and power, will come from much more diverse sources. In many cases this will mean local energy projects serving a local community or even a single ho

Wireless sensor networks are currently being employed in a variety of applications ranging from medical to military, and from home to industry. Wireless Sensor Networks and Applications aims to provi

This 1996 book is a reliable account of the statistical framework for pattern recognition and machine learning. With unparalleled coverage and a wealth of case-studies this book gives valuable insight into both the theory and the enormously diverse applications (which can be found in remote sensing, astrophysics, engineering and medicine, for example). So that readers can develop their skills and understanding, many of the real data sets used in the book are available from the author's website: www.stats.ox.ac.uk/～ripley/PRbook/. For the same reason, many examples are included to illustrate real problems in pattern recognition. Unifying principles are highlighted, and the author gives an overview of the state of the subject, making the book valuable to experienced researchers in statistics, machine learning/artificial intelligence and engineering. The clear writing style means that the book is also a superb introduction for non-specialists.

Although the highly anticipated petascale computers of the near future will perform at an order of magnitude faster than today’s quickest supercomputer, the scaling up of algorithms and applications f

Does IT poison the minds of the young? Must educational institutions change to serve the needs of the twenty-first century? This book addresses these questions and more. It records the intellectual st

Probabilistic networks, also known as Bayesian networks and influence diagrams, have become one of the most promising technologies in the area of applied artificial intelligence. This book provides a

Distributed power generation is a technology that could help to enable efficient, renewable energy production both in the developed and developing world. It includes all use of small electric power ge

This book constitutes the refereed proceedings of the Second International Conference on Affective Computing and Intelligent Interaction, ACII 2007. It covers affective facial expression and recogniti

A comprehensive overview of OpenMP, the standard application programming interface for shared memory parallel computing—a reference for students and professionals.

This textbook is intended for an undergraduate/graduate course on computer networks and for introductory courses dealing with performance evaluation of computers, networks, grids and telecommunicatio

The global growth of tourism has been matched by the significant growth in transport networks. In many ways, transport and tourism can be considered mutually dependent. Understanding the dimensions of

WINNER OF THE 2001 DEGROOT PRIZE!Probabilistic expert systems are graphical networks that support the modelling of uncertainty and decisions in large complex domains, while retaining ease of calculat

Belying the assumption that there is nothing more to discover about the similarities between Jesus and the apostle Paul, Jerome Murphy-O 'Connor gives us this enticing study. Extracting his informatio

This book concerns the use of graphs for the simulation and representation of transport networks. Its aim is to cover networks in both spatial analysis and urban management, together with the simulat

This is a brand new edition of an essential work on Bayesian networks and decision graphs. It is an introduction to probabilistic graphical models including Bayesian networks and influence diagrams.

The eagerly awaited Pattern-Oriented Software Architecture (POSA) Volume 4 is about a pattern language for distributed computing. The authors will guide you through the best practices and introduce y

The design and management of networks have become very important research topics in the field of organizational economics and management in the last decade. First, the book emphasizes research in econ

Very few textbooks today explore distributed systems in a manner appropriate for university students. In this unique text, esteemed authors Tanenbaum and van Steen provide full coverage of the field i

Distributed parameter systems encompass a broad range of engineering applications from stereo speakers to space structures. The dynamic behaviour of these systems is usually governed by one or more partial differential equations, which may accurately represent the physical system but are often difficult to solve exactly. Research in the dynamics and control of distributed parameter structural systems has grown dramatically in recent years, owing in part to the increasing complexity of these systems. Emerging technologies such as smart materials and mechatronics have contributed to growth in interest. The purpose of this book is to document progress in both theory and practical applications. Chapters discuss simulation, modelling, and analysis techniques used to investigate a variety of elastic, electromechanical and acoustic systems. With contributions by leading authorities, this book will serve as a resource for researchers and graduate students and also as a useful reference for pra

This book describes the technologies involved in all aspects of a large networking system and how the various devices can interact and communicate with each other. Using a bottom up approach the autho

This text is based on a simple and fully reactive computational model that allows for intuitive comprehension and logical designs. The principles and techniques presented can be applied to any distrib

The effort to understand personal relationships has traditionally focused on the individual characteristics of participants. Personal Relationships and Personal Networks takes this analysis a step fur

Modern civilization relies on a functioning information infrastructure. As a result, dependability has become a central issue in all disciplines of systems engineering and software architecture.Theori

Although social, political, technological and business networks hold our modern world together, we still lack a good understanding of what business networks are, how they work, and the language of net

In this text, students of applied mathematics, science and engineering are introduced to fundamental ways of thinking about the broad context of parallelism. The authors begin by giving the reader a deeper understanding of the issues through a general examination of timing, data dependencies, and communication. These ideas are implemented with respect to shared memory, parallel and vector processing, and distributed memory cluster computing. Threads, OpenMP, and MPI are covered, along with code examples in Fortran, C, and Java. The principles of parallel computation are applied throughout as the authors cover traditional topics in a first course in scientific computing. Building on the fundamentals of floating point representation and numerical error, a thorough treatment of numerical linear algebra and eigenvector/eigenvalue problems is provided. By studying how these algorithms parallelize, the reader is able to explore parallelism inherent in other computations, such as Monte Carlo

In this text, students of applied mathematics, science and engineering are introduced to fundamental ways of thinking about the broad context of parallelism. The authors begin by giving the reader a deeper understanding of the issues through a general examination of timing, data dependencies, and communication. These ideas are implemented with respect to shared memory, parallel and vector processing, and distributed memory cluster computing. Threads, OpenMP, and MPI are covered, along with code examples in Fortran, C, and Java. The principles of parallel computation are applied throughout as the authors cover traditional topics in a first course in scientific computing. Building on the fundamentals of floating point representation and numerical error, a thorough treatment of numerical linear algebra and eigenvector/eigenvalue problems is provided. By studying how these algorithms parallelize, the reader is able to explore parallelism inherent in other computations, such as Monte Carlo

The latest edition of a classic text on concurrency and distributed programming ? from a winner of the ACM/SIGCSE Award for Outstanding Contribution to Computer Science Education.

James Spillane, the leading expert in Distributed Leadership, shows how leadership happens in everyday practices in schools, through formal routines and informal interactions. He examines the distrib

Cellular Nonlinear/neural Network (CNN) technology is both a revolutionary concept and an experimentally proven new computing paradigm. Analogic cellular computers based on CNNs are set to change the way analog signals are processed and are paving the way to an analog computing industry. This unique undergraduate level textbook includes many examples and exercises, including CNN simulator and development software accessible via the Internet. It is an ideal introduction to CNNs and analogic cellular computing for students, researchers and engineers from a wide range of disciplines. Although its prime focus is on visual computing, the concepts and techniques described in the book will be of great interest to those working in other areas of research including modeling of biological, chemical and physical processes. Leon Chua, co-inventor of the CNN, and Tamás Roska are both highly respected pioneers in the field.