Distributed Data Fusion for Network-centric Operations

Get to grips with the principles and practice of signal processing used in mobile communications systems. Focusing particularly on speech, video, and modem signal processing, pioneering experts employ a detailed, top-down analytical approach to outline the network architectures and protocol structures of multiple generations of mobile communications systems, identify the logical ranges where media and radio signal processing occur, and analyze the procedures for capturing, compressing, transmitting, and presenting media. Chapters are uniquely structured to show the evolution of network architectures and technical elements between generations up to and including 5G, with an emphasis on maximizing service quality and network capacity through re-using existing infrastructure and technologies. Implementation examples and data taken from commercial networks provide an in-depth insight into the operation of real mobile communications systems, including GSM, cdma2000, W-CDMA, LTE, and LTE-A,

This unique text provides a comprehensive and systematic introduction to the theory and practice of mobile data networks. Covering basic design principles as well as analytical tools for network performance evaluation, and with a focus on system-level resource management, you will learn how state-of-the-art network design can enable you flexibly and efficiently to manage and trade-off various resources such as spectrum, energy, and infrastructure investments. Topics covered range from traditional elements such as medium access, cell deployment, capacity, handover, and interference management, to more recent cutting-edge topics such as heterogeneous networks, energy and cost-efficient network design, and a detailed introduction to LTE (4G). Numerous worked examples and exercises illustrate the key theoretical concepts and help you put your knowledge into practice, making this an essential resource whether you are a student, researcher, or practicing engineer.

Network operators are faced with the challenge of maximizing the quality of voice transmissions in wireless communications without impairing speech or data transmission. This book provides a comprehensive survey of voice quality algorithms, features, interactions and trade-offs at the device and system levels. The book elaborates on the root cause of impairments and ways for resolving them, as well as methodologies for measuring and quantifying voice quality before and after applying the remedies. A 'troubleshooting and case studies' chapter provides a useful approach to identifying and solving network impairments. Avoiding complex mathematics, the approach is based on real and sizable field experience supported by scientific and laboratory analysis. This title is suitable for practitioners in the wireless communications industry and graduate students in electrical engineering. Further resources, including a range of audio examples, are available online at www.cambridge.org/ 9781107407

Network operators are faced with the challenge of maximizing the quality of voice transmissions in wireless communications without impairing speech or data transmission. This book provides a comprehensive survey of voice quality algorithms, features, interactions and trade-offs at the device and system levels. The book elaborates on the root cause of impairments and ways for resolving them, as well as methodologies for measuring and quantifying voice quality before and after applying the remedies. A 'troubleshooting and case studies' chapter provides a useful approach to identifying and solving network impairments. Avoiding complex mathematics, the approach is based on real and sizable field experience supported by scientific and laboratory analysis. This title is suitable for practitioners in the wireless communications industry and graduate students in electrical engineering. Further resources, including a range of audio examples, are available online at www.cambridge.org/ 9781107407

Utilising both key mathematical tools and state-of-the-art research results, this text explores the principles underpinning large-scale information processing over networks and examines the crucial interaction between big data and its associated communication, social and biological networks. Written by experts in the diverse fields of machine learning, optimisation, statistics, signal processing, networking, communications, sociology and biology, this book employs two complementary approaches: first analysing how the underlying network constrains the upper-layer of collaborative big data processing, and second, examining how big data processing may boost performance in various networks. Unifying the broad scope of the book is the rigorous mathematical treatment of the subjects, which is enriched by in-depth discussion of future directions and numerous open-ended problems that conclude each chapter. Readers will be able to master the fundamental principles for dealing with big data over

Discover the very latest game-theoretic approaches for designing, modeling, and optimizing emerging wireless communication networks and systems with this unique text. Providing a unified and comprehensive treatment throughout, it explains basic concepts and theories for designing novel distributed wireless networking mechanisms, describes emerging game-theoretic tools from an engineering perspective, and provides an extensive overview of recent applications. A wealth of new tools is covered - including matching theory and games with bounded rationality - and tutorial chapters show how to use these tools to solve current and future wireless networking problems in areas such as 5G networks, network virtualization, software defined networks, cloud computing, the Internet of Things, context-aware networks, green communications, and security. This is an ideal resource for telecommunications engineers, and researchers in industry and academia who are working on the design of efficient, scala

Although many firms label themselves 'global', very few can back this up with truly global sales and operations. In The Regional Multinationals Alan Rugman examines first-hand data from multinationals and finds that most multinationals are strongly regional, with international operations in their home regions of North America, the US or Asia. Only a tiny proportion of the world's top 500 companies actually sell the same product and deliver the same services around the world. Rugman exposes the facts behind the popular myths of doing business globally, explores a variety of regional models and offers an authoritative agenda for future business strategy. The Regional Multinationals is the essential resource for all academics and students in International Business, Organization and Strategic Management, as well as those with an interest in finding out how multinationals really work in practice and how future strategy must respond.

Written by leading researchers, this complete introduction brings together all the theory and tools needed for building robust machine learning in adversarial environments. Discover how machine learning systems can adapt when an adversary actively poisons data to manipulate statistical inference, learn the latest practical techniques for investigating system security and performing robust data analysis, and gain insight into new approaches for designing effective countermeasures against the latest wave of cyber-attacks. Privacy-preserving mechanisms and the near-optimal evasion of classifiers are discussed in detail, and in-depth case studies on email spam and network security highlight successful attacks on traditional machine learning algorithms. Providing a thorough overview of the current state of the art in the field, and possible future directions, this groundbreaking work is essential reading for researchers, practitioners and students in computer security and machine learning,

How should medical services be distributed within society? Who should pay for them? Is it right that large amounts should be spent on sophisticated technology and expensive operations, or would the resources be better employed in, for instance, less costly preventive measures? These and others are the questions addreses in this book. Norman Daniels examines some of the dilemmas thrown up by conflicting demands for medical attention, and goes on to advance a theory of justice in the distribution of health care. The central argument is that health care, both preventive and acute, has a crucial effect on equality of opportunity, and that a principle guaranteeing equality of opportunity must underly the distribution of health-care services. Access to care, preventive measures, treatment of the elderly, and the obligations of doctors and medical administrations are fully discussed, and the theory is shown to underwrite various practical policies in the area.

From a top healthcare futurist, frontline innovator, and Deloitte consultant comes a road map to Humanizing Healthcare--hardwiring humanity at every point of care--a cultural transformation that is good for people and good for business. Without meaning to do so, the healthcare industry continues to injure people--patients and clinicians--physically, emotionally, mentally, financially, spiritually, and socially. There have been numerous efforts to overhaul the system, but nothing has yet cured healthcare of its illnesses. Paramedic-turned-physician executive and Deloitte consultant Summer Knight helps top healthcare and life sciences organizations create patient-centric, consumer-oriented healthcare delivery systems. She not only provides a guide for how the industry can transform to embody a more human perspective, using data and technology, she also illustrates how using Humanizing Healthcare as a collective North Star will positively impact all stakeholders: consumers, providers, car

Models and concepts of brain function have always been guided and limited by the available techniques and data. This book brings together a multitude of data from different backgrounds. It addresses questions such as: how do different brain areas interact in the process of channelling information? How do neuronal populations encode the information? How are networks formed and separated or associated with other networks? The authors present data at the single cell level both in vitro and in vivo, at the neuronal population level in vivo comparing field potentials (EEGs) in different brain areas, and also present data from spike recordings from identified neuronal populations during the performance of different tasks. Written for academic researchers and graduate students, the book strives to cover the range of single cell activity analysis to the observation of network activity, and finally to brain area activity and cognitive processes of the brain.

Written by the pioneers of Flash-OFDM, arguably the first commercially developed OFDMA-based mobile broadband system in the world, this book teaches OFDMA from first principles, enabling readers to understand mobile broadband as a whole. The book examines the key requirements for data-centric mobile; how OFDMA fits well with data networks; why mobile broadband needs to be IP-based; and how to bridge communications theory to real-world air interface design and make a good system choice between performance and complexity. It also explores the future of wireless technologies beyond conventional cellular architecture. One of the key challenges faced by newcomers to this field is how to apply the wireless communications theory and principles to the real world and how to understand sophisticated commercial systems such as LTE. The authors use their firsthand experience to help graduate students, researchers and professionals working on 4G to bridge the gap between theory and practice.

Ideal for entry-level and experienced researchers working in materials science and engineering, this unique book introduces a new subfield of materials science and mechanics of materials: network materials. A comprehensive review of their mechanical behaviours allows readers to understand, design, and enhance the performance of these material systems, across a range of materials including cytoskeletons, connective tissue, and thermoset polymers. By introducing simple models, supported by experimental data, the book provides the necessary fundamental knowledge to assist readers to design and develop their own material systems. By presenting each of these previously disparate material systems within a unified theoretical framework, this book provides a consolidated presentation of the mechanics of networks and their interactions, introducing parameters that define the stochastic structure of the network, and discussing their mechanical behaviour. It is an ideal text for those new to this

LEDA is a library of efficient data types and algorithms and a platform for combinatorial and geometric computing on which application programs can be built. In each of the core computer science areas of data structures, graph and network algorithms, and computational geometry, LEDA covers all (and more) that is found in the standard textbooks. LEDA is the first such library; it is written in C++ and is available on many types of machine. Whilst the software is freely available worldwide and is installed at hundreds of sites, this is the first book devoted to the library. Written by the main authors of LEDA, it is the definitive account, describing how the system is constructed and operates and how it can be used. The authors supply ample examples from a range of areas to show how the library can be used in practice, making the book essential for all workers in algorithms, data structures and computational geometry.

Stunning photographs of Soviet Metro Stations from across the former states of the USSR and Russia itself, many of which have never previously been documented For us, said Nikita Khrushchev in his memoirs, ‘there was something supernatural about the Metro’. Visiting any of the dozen or so Metro networks built across the Soviet Union between the 1930s and 1980s, it is easy to see why. Rather than the straightforward systems of London, Paris or New York, these networks were used as a propaganda artwork – a fusion of sculpture, architecture and art, combining Byzantine, medieval, baroque and Constructivist ideas and infusing them with the notion that Communism would mean a ‘communal luxury’ for all. Today these astonishing spaces remain the closest realisation of a Soviet utopia.Following his best-selling quest for Soviet Bus Stops, Christopher Herwig has completed a subterranean expedition – photographing the stations of each Metro network of the former USSR. From extreme marble and chan

Learn how to analyse and manage evolutionary and sequential user behaviours in modern networks, and how to optimize network performance by using indirect reciprocity, evolutionary games, and sequential decision making. Understand the latest theory without the need to go through the details of traditional game theory. With practical management tools to regulate user behaviour, and simulations and experiments with real data sets, this is an ideal tool for graduate students and researchers working in networking, communications, and signal processing.

Based on TD–LTE technology, this book adopts a learning mode that features modularized training, and chooses the eNodeB made by Datang Telecom Group as learning platform. Hardware structures, installation of the host, and antenna connection of 4G base station are explained in a comprehensive and detailed way through specific task modules. The book is divided into 3 training modules including Introduction to TD–LTE Base Station and EPC Network, Installation of Base Station Equipment, and Installation of Auxiliary Equipment in Base Station and Optical Fiber Fusion Splicing. Readers can carry out correct installation and connection of 4G base station equipment by completing these three training modules. The purpose of this book lies in cultivating high-quality and skilled personnel who can construct and maintain 4G base station, helping them master the skills required for operating and maintaining communication base station, and meeting the requirements for standardized on-site maintenanc

Data-driven computational neuroscience facilitates the transformation of data into insights into the structure and functions of the brain. This introduction for researchers and graduate students is the first in-depth, comprehensive treatment of statistical and machine learning methods for neuroscience. The methods are demonstrated through case studies of real problems to empower readers to build their own solutions. The book covers a wide variety of methods, including supervised classification with non-probabilistic models (nearest-neighbors, classification trees, rule induction, artificial neural networks and support vector machines) and probabilistic models (discriminant analysis, logistic regression and Bayesian network classifiers), meta-classifiers, multi-dimensional classifiers and feature subset selection methods. Other parts of the book are devoted to association discovery with probabilistic graphical models (Bayesian networks and Markov networks) and spatial statistics with po

Gain a detailed understanding of the protocols, network architectures and techniques being considered for 5G wireless networks with this authoritative guide to the state of the art. • Get up to speed with key topics such as cloud radio access networks, mobile edge computing, full duplexing, massive MIMO, mmWave, NOMA, Internet of things, M2M communications, D2D communications, mobile data offloading, interference mitigation techniques, radio resource management, visible light communications, and smart data pricing. • Learn from leading researchers in academia and industry about the most recent theoretical developments in the field. • Discover how each potential technology can increase the capacity, spectral efficiency, and energy efficiency of wireless systems. Providing the most comprehensive overview of 5G technologies to date, this is an essential reference for researchers, practicing engineers and graduate students working in wireless communications and networking.

This practical guide to biosimulation provides the hands-on experience needed to devise, design and analyze simulations of biophysical processes for applications in biological and biomedical sciences. Through real-world case studies and worked examples, students will develop and apply basic operations through to advanced concepts, covering a wide range of biophysical topics including chemical kinetics and thermodynamics, transport phenomena, and cellular electrophysiology. Each chapter is built around case studies in a given application area, with simulations of real biological systems developed to analyze and interpret data. Open-ended project-based exercises are provided at the end of each chapter, and with all data and computer codes available online (www.cambridge.org/biosim) students can quickly and easily run, manipulate, explore and expand on the examples inside. This hands-on guide is ideal for use on senior undergraduate/graduate courses and also as a self-study guide for anyo

Decision Making and Operations Research Techniques for Construction Management challenges the traditional empirical approach to problem solving and provides construction practitioners with a seasoned account to resolving day-to-day complicated issues in construction project management. With over 150,000 workers at different levels working at dispersed project sites throughout the territory, construction managers have to look for optimal solutions to minimize the costs and to maximize the efficiencies. This book provides scientific tools for practitioners to resolve some practical problems which are administered empirically at present and may lead to inconsistent results and human errors. The modern decision-making tools introduced in this book include Multi-criteria Decision-making Models, Artificial Neural Network, Genetic Algorithms, Construction Simulation, Rough Set Theory and Advanced Statistical Techniques for construction. This book will serve as a useful companion for those m

Floral morphology remains the cornerstone for plant identification and studies of plant evolution. This guide gives a global overview of the floral diversity of the angiosperms through the use of detailed floral diagrams. These schematic diagrams replace long descriptions or complicated drawings as a tool for understanding floral structure and evolution. They show important features of flowers, such as the relative positions of the different organs, their fusion, symmetry, and structural details. The relevance of the diagrams is discussed, and pertinent evolutionary trends are illustrated. The range of plant species represented reflects the most recent classification of flowering plants based mainly on molecular data, which is expected to remain stable in the future. This book is invaluable for researchers and students working on plant structure, development and systematics, as well as being an important resource for plant ecologists, evolutionary botanists and horticulturists.

We live in times of transparency. Digital technologies expose everything we do, like, and search for, and it is difficult to remain private and out of sight. Meanwhile, many people are concerned about the unchecked powers of tech giants and the hidden operations of big data, artificial intelligence and algorithms and call for more openness and insight. How do we - as individuals, companies and societies - deal with these technological and social transformations? Seen through the prism of digital technologies and data, our lives take new shapes and we are forced to manage our visibilities carefully. This book challenges common ways of thinking about transparency, and argues that the management of visibilities is a crucial, but overlooked force that influences how people live, how organizations work, and how societies and politics operate in a digital, datafied world.

We live in times of transparency. Digital technologies expose everything we do, like, and search for, and it is difficult to remain private and out of sight. Meanwhile, many people are concerned about the unchecked powers of tech giants and the hidden operations of big data, artificial intelligence and algorithms and call for more openness and insight. How do we - as individuals, companies and societies - deal with these technological and social transformations? Seen through the prism of digital technologies and data, our lives take new shapes and we are forced to manage our visibilities carefully. This book challenges common ways of thinking about transparency, and argues that the management of visibilities is a crucial, but overlooked force that influences how people live, how organizations work, and how societies and politics operate in a digital, datafied world.

The revisioning of our infrastructural futures, local and global relationalities, and historical and political legacies.From questions around space settlements to the possibility of repurposing blockchain infrastructures and financial instruments for redistributive purposes, and from the diagrammatic potential of infrastructural thinking in artistic practices to scenario planning and economic strategizing, this collection of essays brings together critical analysis from a broad group of contributors engaged in the revisioning of our infrastructural futures. Their interrogations span local and global relationalities, historical and political legacies, as well as future-oriented infrastructural hypotheses. Forming a comprehensive picture of the multiple processes, regulations, institutions, technologies, networks, and operations that we have come to understand as the distributed infrastructural arena in which we act, yield, and plot is a perennial challenge. Over the past decade, a gro

Understand both uncoded and coded caching techniques in future wireless network design. Expert authors present new techniques that will help you to improve backhaul, load minimization, deployment cost reduction, security, energy efficiency and the quality of the user experience. Covering topics from high-level architectures to specific requirement-oriented caching design and analysis, including big-data enabled caching, caching in cloud-assisted 5G networks, and security, this is an essential resource for academic researchers, postgraduate students and engineers working in wireless communications.

Commercial Agreements and Social Dynamics in Medieval Genoa is an empirical study of medieval long-distance trade agreements and the surrounding social dynamics that transformed the feudal organization of men-of-arms into the world of Renaissance merchants. Drawing on 20,000 notarial records, the book traces the commercial partnerships of thousands of people in Genoa from 1150 to 1435 and reports social activity on a scale that is unprecedented for such an early period of history. In combining a detailed historical reading with network modeling to analyze the change in the long-distance trade relationships, Quentin van Doosselaere challenges the prevailing western-centric view of development. He demonstrates that the history of the three main medieval economic frameworks that brought about European capitalism - equity, credit, and insurance - was not driven by strategic merchants' economic optimizations but rather by a change in partners' selections that reflected the dynamic of the so

Commercial Agreements and Social Dynamics in Medieval Genoa is an empirical study of medieval long-distance trade agreements and the surrounding social dynamics that transformed the feudal organization of men-of-arms into the world of Renaissance merchants. Drawing on 20,000 notarial records, the book traces the commercial partnerships of thousands of people in Genoa from 1150 to 1435 and reports social activity on a scale that is unprecedented for such an early period of history. In combining a detailed historical reading with network modeling to analyze the change in the long-distance trade relationships, Quentin van Doosselaere challenges the prevailing western-centric view of development. He demonstrates that the history of the three main medieval economic frameworks that brought about European capitalism - equity, credit, and insurance - was not driven by strategic merchants' economic optimizations but rather by a change in partners' selections that reflected the dynamic of the so

Providing an all-inclusive treatment of electronic and optoelectronic devices used in high-speed optical communication systems, this book emphasizes circuit applications, advanced device design solutions, and noise in sources and receivers. Core topics covered include semiconductors and semiconductor optical properties, high-speed circuits and transistors, detectors, sources, and modulators. It discusses in detail both active devices (heterostructure field-effect and bipolar transistors) and passive components (lumped and distributed) for high-speed electronic integrated circuits. It also describes recent advances in high-speed devices for 40 Gbps systems. Introductory elements are provided, making the book open to readers without a specific background in optoelectronics, whilst end-of-chapter review questions and numerical problems enable readers to test their understanding and experiment with realistic data.

Models of theoretical linguistics now emphasize the meeting points, or interfaces, between different aspects of our language capacity. Syntactic operations include structure-building, checking long-distance relationships between units, and connecting alternative word orders. This volume presents a collection of original studies that explore the mapping between these operations and other language-related areas such as word meanings, discourse contexts, the construction of meaning for larger units, and the alternative expressions of word order. It differs from previous traditional research on interfaces by bringing together studies and analyses from a range of languages, using monolingual varieties that include second language phenomena. Case studies of different types of interfaces, as well as studies based on lesser known sets of linguistic data, provide important examples that propose a new view of the connections between syntactic processes and other areas of grammar.

Models of theoretical linguistics now emphasize the meeting points, or interfaces, between different aspects of our language capacity. Syntactic operations include structure-building, checking long-distance relationships between units, and connecting alternative word orders. This volume presents a collection of original studies that explore the mapping between these operations and other language-related areas such as word meanings, discourse contexts, the construction of meaning for larger units, and the alternative expressions of word order. It differs from previous traditional research on interfaces by bringing together studies and analyses from a range of languages, using monolingual varieties that include second language phenomena. Case studies of different types of interfaces, as well as studies based on lesser known sets of linguistic data, provide important examples that propose a new view of the connections between syntactic processes and other areas of grammar.

Beginning with the landing of the Spirit and Opportunity rovers in 2004 and concluding with the end of the Curiosity mission in 2014, this second volume of The International Atlas of Mars Exploration continues the story of Mars exploration in spectacular detail. It is an essential reference source on Mars and its moons, combining scientific and historical data with detailed and unique illustrations to provide a thorough analysis of twenty-first-century Mars mission proposals, spacecraft operations, landing site selection and surface locations. Combining a wealth of data, facts and illustrations, most created for this volume, the atlas charts the history of modern Mars exploration in more detail than ever before. Like the first volume, the atlas is accessible to space enthusiasts, but the bibliography and meticulous detail make it a particularly valuable resource for academic researchers and students working in planetary science and planetary mapping.

Discrete optimization problems are everywhere, from traditional operations research planning (scheduling, facility location and network design); to computer science databases; to advertising issues in viral marketing. Yet most such problems are NP-hard; unless P = NP, there are no efficient algorithms to find optimal solutions. This book shows how to design approximation algorithms: efficient algorithms that find provably near-optimal solutions. The book is organized around central algorithmic techniques for designing approximation algorithms, including greedy and local search algorithms, dynamic programming, linear and semidefinite programming, and randomization. Each chapter in the first section is devoted to a single algorithmic technique applied to several different problems, with more sophisticated treatment in the second section. The book also covers methods for proving that optimization problems are hard to approximate. Designed as a textbook for graduate-level algorithm courses

Transfer learning deals with how systems can quickly adapt themselves to new situations, tasks and environments. It gives machine learning systems the ability to leverage auxiliary data and models to help solve target problems when there is only a small amount of data available. This makes such systems more reliable and robust, keeping the machine learning model faced with unforeseeable changes from deviating too much from expected performance. At an enterprise level, transfer learning allows knowledge to be reused so experience gained once can be repeatedly applied to the real world. For example, a pre-trained model that takes account of user privacy can be downloaded and adapted at the edge of a computer network. This self-contained, comprehensive reference text describes the standard algorithms and demonstrates how these are used in different transfer learning paradigms. It offers a solid grounding for newcomers as well as new insights for seasoned researchers and developers.

This book presents an integrated collection of representative approaches for scaling up machine learning and data mining methods on parallel and distributed computing platforms. Demand for parallelizing learning algorithms is highly task-specific: in some settings it is driven by the enormous dataset sizes, in others by model complexity or by real-time performance requirements. Making task-appropriate algorithm and platform choices for large-scale machine learning requires understanding the benefits, trade-offs and constraints of the available options. Solutions presented in the book cover a range of parallelization platforms from FPGAs and GPUs to multi-core systems and commodity clusters, concurrent programming frameworks including CUDA, MPI, MapReduce and DryadLINQ, and learning settings (supervised, unsupervised, semi-supervised and online learning). Extensive coverage of parallelization of boosted trees, SVMs, spectral clustering, belief propagation and other popular learning algo

This book presents an integrated collection of representative approaches for scaling up machine learning and data mining methods on parallel and distributed computing platforms. Demand for parallelizing learning algorithms is highly task-specific: in some settings it is driven by the enormous dataset sizes, in others by model complexity or by real-time performance requirements. Making task-appropriate algorithm and platform choices for large-scale machine learning requires understanding the benefits, trade-offs and constraints of the available options. Solutions presented in the book cover a range of parallelization platforms from FPGAs and GPUs to multi-core systems and commodity clusters, concurrent programming frameworks including CUDA, MPI, MapReduce and DryadLINQ, and learning settings (supervised, unsupervised, semi-supervised and online learning). Extensive coverage of parallelization of boosted trees, SVMs, spectral clustering, belief propagation and other popular learning algo

Numerical analysis deals with the manipulation of numbers to solve a particular problem. This book discusses in detail the creation, analysis and implementation of algorithms to solve the problems of continuous mathematics. An input is provided in the form of numerical data or it is generated as required by the system to solve a mathematical problem. Subsequently, this input is processed through arithmetic operations together with logical operations in a systematic manner and an output is produced in the form of numbers. Covering the fundamentals of numerical analysis and its applications in one volume, this book offers detailed discussion on relevant topics including difference equations, Fourier series, discrete Fourier transforms and finite element methods. In addition, the important concepts of integral equations, Chebyshev Approximation and Eigen Values of Symmetric Matrices are elaborated upon in separate chapters. The book will serve as a suitable textbook for undergraduate stud

This international history of the origins and nature of 'cold war' offers the first systematic examination of the complex relationship between the United States and Italy, and of American debates about warfare in the years between World War II and the Korean War. Kaeten Mistry reveals how the defeat of the Marxist left in the 1948 Italian election was perceived as a victory for the United States amidst a 'war short of war', as defined by influential planner George Kennan, becoming an allegory for cold war in American minds. The book analyses how political warfare sought to employ covert operations, overt tactics and propaganda in a co-ordinated offensive against international communism. Charting the critical contribution of a broad network of local, religious, civic, labour, and business groups, Mistry reveals how the notion of a specific American success paved the way for a problematic future for US-Italian relations and American political warfare.

Algorithmic Aspects of Graph Connectivity is the first comprehensive book on this central notion in graph and network theory, emphasizing its algorithmic aspects. Because of its wide applications in the fields of communication, transportation, and production, graph connectivity has made tremendous algorithmic progress under the influence of the theory of complexity and algorithms in modern computer science. The book contains various definitions of connectivity, including edge-connectivity and vertex-connectivity, and their ramifications, as well as related topics such as flows and cuts. The authors thoroughly discuss new concepts and algorithms that allow for quicker and more efficient computing, such as maximum adjacency ordering of vertices. Covering both basic definitions and advanced topics, this book can be used as a textbook in graduate courses in mathematical sciences, such as discrete mathematics, combinatorics, and operations research, and as a reference book for specialists i

Written in a unique style, this book is a valuable resource for faculty, graduate students, and researchers in the communications and networking area whose work interfaces with optimization. It teaches you how various optimization methods can be applied to solve complex problems in wireless networks. Each chapter reviews a specific optimization method and then demonstrates how to apply the theory in practice through a detailed case study taken from state-of-the-art research. You will learn various tips and step-by-step instructions for developing optimization models, reformulations, and transformations, particularly in the context of cross-layer optimization problems in wireless networks involving flow routing (network layer), scheduling (link layer), and power control (physical layer). Throughout, a combination of techniques from both operations research and computer science disciplines provides a holistic treatment of optimization methods and their applications. Each chapter includes