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Presents a fully decentralized method for dynamic network energy management based on messages passing between devices. The book considers a network of devices, such as generators, fixed loads, deferrable loads, and storage devices, each with its own dynamic constraints and objective, connected by AC and DC lines.

Reviews the published literature on search result diversification. In particular, the book discusses the motivations for diversifying the search results for an ambiguous query and provides a formal definition of the search result diversification problem.

A Markov Decision Process (MDP) is a natural framework for formulating sequential decision-making problems under uncertainty. In recent years, researchers have greatly advanced algorithms for learning and acting in MDPs. This book reviews such algorithms.

The term Structure from Motion was coined by the computer vision community to define the problem of estimating the three-dimensional structure of the scene and the motion from two-dimensional image sequences. This book considers the same estimation problem but where the sensor suit is also composed of inertial sensors.

Examines the fundamentals of stable throughput in wireless networks. The book reviews the notion of stability and of stable throughput regions in wireless networks, with emphasis on network layer cooperation between interacting users.

Broadly summarises the key aspects of generalized sampling, and delves into specific applications in graphics. Using new notation, this book concisely presents and extends several key techniques. In addition, it demonstrates benefits for prefiltering in image downscaling and supersample-based rendering.

Presents the first Rate Distortion Bounds for Voice and Video that actually lower bound the operational rate distortion performance of the best-performing voice and video codecs. This is essential reading for researchers in information theory and signal processing working on theoretical and practical aspects of data compression.

Reviews the theoretical literature on disclosure, tying it to the recent policy debate on whether stress-test results should be disclosed. The authors review the nature of stress tests required by the Dodd-Frank act and conducted by the Federal Reserve, an important aspect of which is the public disclosure of the results.

Surveys recent advances in temperature-aware 3D Multiprocessor Systems-on-Chip (3D MPSoCs) considerations. The book explores the recent advanced cooling strategies, thermal modelling frameworks, design-time optimizations, and run-time thermal management schemes that are primarily targeted for 3D MPSoCs.

Focuses exclusively on the risk that is associated with investing in education. In a well organised framework, this monograph surveys the modest literature, identifies and explains the weakest aspects of knowledge in the field, reflects on policy issues, and presents an agenda for future research.

Analyses and compares the policy responses in the United Kingdom and the United States to the mad cow disease crisis. The book draws a number of lessons from the mad cow experience regarding how one should regulate invasive species risks and deal with dimly understood but potentially serious risks to large populations.

Puts into perspective one of the most persistent empirical phenomena in finance: equity home bias. The book provides a review of the competing measures of home bias, the explanations for the equity home bias, and lay out the implications of international under-diversification for portfolio formation and the cost of capital of companies.

Offers a partial review of the vast literature in econometrics and statistics on calculating semiparametric efficiency bounds for a large class of models used in applied economics research. This book will help researchers learn more about efficiency bounds, their calculation, and their usefulness in semiparametric estimation.

Presents the theory of submodular functions in a self-contained way from a convex analysis perspective, presenting tight links between certain polyhedra, combinatorial optimization and convex optimization problems. In particular, it describes how submodular function minimization is equivalent to solving a variety of convex optimization problems.

Surveys for a general audience the Datalog language, recursive query processing, and optimization techniques. Topics covered include the core Datalog language and various extensions, semantics, query optimizations, magic-sets optimizations, incremental view maintenance, aggregates, negation, and types.

Addresses the design principles and core features of systems for analysing very large datasets using massively-parallel computation and storage techniques on large clusters of nodes. This is an ideal reference for anyone with a research or professional interest in large-scale data analytics.

A handbook of known formulas which directly relate to information measures and estimation measures. This book provides intuition and draws connections between these formulas, highlights some important applications, and motivates further explorations. The main focus is on such formulas in the context of the additive Gaussian noise model.

Highlights the importance of designing for spatial memory in HCI. The book summarises empirical results on spatial memory from both the psychology and HCI domains, identifying a set of observable properties of spatial memory that can be used to inform design.

Reviews some of the key theoretical results and empirical findings in the recent literature on short-term forecasting, and translate these findings into economically meaningful techniques to facilitate their widespread application to compute short-term forecasts in economics, and to monitor the ongoing business cycle developments in real time.

Defines the first steps towards enabling electromagnetic communication among nanomachines in the Terahertz Band (0.1-10 THz). The starting point is the development of novel graphene-based plasmonic nano-antennas, which efficiently operate in the Terahertz Band.

Discusses modern column-stores, their architecture and evolution, and the benefits they can bring in data analytics. There is a specific focus on three influential research prototypes, MonetDB, MonetDB/X100, and C-Store. These systems have formed the basis for several well-known commercial column-store implementations.

Surveys the key problems, models, and algorithms from online matchings, as well as their implication in the practice of ad allocation. The book provides a classification of the problems in this area, an introduction into the techniques used, a glimpse into the practical impact, and ponders some questions that will be of interest in the future.

Examines dynamic trading of a portfolio of assets in discrete periods over a finite time horizon, with arbitrary time-varying distribution of asset returns. The goal is to maximize the total expected revenue from the portfolio, while respecting constraints on the portfolio like a required terminal portfolio and leverage and risk limits.

Provides a tutorial on the relevant physical phenomena governing the operation and design of microrobots, as well as a survey of existing approaches to microrobot design and control. The book also provides a detailed practical overview of actuation and control methods that are commonly used to remotely power these designs.

Focuses on the creation of good jobs for the young. The book reviews the main factors influencing youth unemployment and the transition into the work force, and provides an overview of young people's situations in major world regions, with a particular emphasis on the role of training systems and complementary active labour market policies.

Synthesizes prior work involving children as informants and design partners, and describes the emergence of participatory design methods and techniques for children. The book considers the various roles children have played in the design process, with a focus on those that integrally involve children throughout the process.

Presents an overview of existing research in this topic, including recent progress on scaling to high-dimensional feature spaces and to data sets with an extremely large number of data points. The book presents as unified a framework as possible under which existing research on metric learning can be cast.

Reviews a branch of Monte Carlo methods that are based on the forward-backward idea, and that are referred to as backward simulators. In recent years, the theory and practice of backward simulation algorithms have undergone a significant development, and the algorithms keep finding new applications.

Focuses on accounting disclosure within a non-contractual setting in which Revelation Principle does not apply. The book examines a setting featuring a sender - a firm manager or a sell-side equity analyst - who has some information about a firm to communicate to a receiver - an investor - to help value the firm.