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Sheds light on the role that information technology might play in helping older adults to age actively. The goal is to understand how IT can better support an Active Ageing, which is defined here as a physically, mentally, and socially active lifestyle as a person ages.

Provides the reader with a self-contained view of sparse modeling for visual recognition and image processing. More specifically, the work focuses on applications where the dictionary is learned and adapted to data, yielding a compact representation that has been successful in various contexts.

Reviews what economists do and do not know about the effectiveness and cost effectiveness of pollution monitoring and enforcement. The focus is mainly on lessons for and from the US policy environment, but discusses important research findings from international settings as well.

Provides an overview of how liquidity is measured and of specialized issues in liquidity measurement. The book also examines what is known about cross-sectional and time-series patterns in liquidity. The authors then review how liquidity relates to the corporate finance literature.

A monograph that offers a model and examples of relevant relationships to show how the complexity of family entrepreneurship could be disentangled in order to generate interesting research questions.

Provides a systematic and detailed introduction to newly developed machine learning technologies for query document matching in search, particularly in web search. The book focuses on the fundamental problems, as well as the state-of-the-art solutions of query document matching on form, phrase, word sense, topic, and structure aspect.

In multi-hop multi-flow networks, the challenge is to combine the insights obtained in the study of single-hop multi-flow networks and multi-hop single-flow networks in order to design schemes that handle relaying and interference management simultaneously. This book discusses the gains that can be obtained by taking such a unified approach.

Explains the various shifts in the balance of power between a group of large international vertically integrated firms (the Seven Sisters), and a group of oil producing countries (OPEC) in the fight for control over global oil markets.

Describes recent advances in our understanding of the theoretical benefits of active learning, and implications for the design of effective active learning algorithms. Much of the book focuses on a particular technique - disagreement-based active learning. It also briefly surveys several alternative approaches from the literature.

Focuses on some of the key modern mathematical tools that are used for the derivation of concentration inequalities, on their links to information theory, and on their various applications to communications and coding. The book also includes various new recent results derived by the authors.

This self-contained tutorial presents a unified treatment of single- and multi-user problems in Shannon's information theory considering in particular the cases that depart from the requirement that the error probability decays asymptotically in the blocklength.

Discusses the meaning of differential privacy, and then explores the fundamental techniques for achieving differential privacy, and the application of these techniques in creative combinations, using the query-release problem as an ongoing example.

Takes an in-depth look at corporate governance mechanisms in entrepreneurial firms, and offers an explanation on how and why they differ from those mechanisms in large and publicly traded corporations.

Assesses different design approaches to common features of mobile wellness applications, and discusses the tradeoffs that are inherent in those approaches. The book also outlines the key challenges that human-computer interaction researchers and designers need to address to move the state of the art for mobile wellness technologies forward.

Integrates finance and operations on the topic of merchant operations. The book presents the basic tenants of merchant operations as being the management of commodity conversion assets as real options on commodity prices, while the scope is based on the foundational principles that underlie that valuation of real options.

Takes a straightforward approach to illustrating the value of the CML method for the estimation of discrete and mixed dependent variable models in Econometrics. This book provides an overview of developments and applications, and explains why the approach can be effective for the analysis of high-dimensional heterogeneous data.

Takes an in-depth look at the role of outsourcing in taking a product from concept to market and then operating the resulting supply chain. By presenting, interpreting, and extending the current knowledge, the author's goal is to shed light on the underlying economic and behavioural drivers, implementation challenges, and potential remedies.

Examines the topic of information processing over graphs. The presentation is largely self-contained and covers results that relate to the analysis and design of multi-agent networks for the distributed solution of optimization, adaptation, and learning problems from streaming data through localized interactions among agents.

Discusses the challenges imposed by multi-core architectures in designing time-predictable embedded systems. The book then goes on to describe, in detail, a comprehensive solution to guarantee time-predictable execution on multi-core platforms. It also discusses various techniques and surveys the state-of-the-art in terms of available solutions.

Explores policy interventions aimed at improving water allocation decisions and assesses the impact on regions and sectors by including both macro and micro considerations in a unified analytical framework.

Provides a concise and easily accessible description of the foundations underpinning port-Hamiltonian systems theory, and goes on to emphasize novel developments in the field that will be of interest to a broad range of researchers. The tutorial style makes this book suitable for use in a course and by students.

Provides a survey, tutorial development, and discussion of four highly stylized examples of sensing and decision making in social networks: social learning for interactive sensing; tracking the degree distribution of social networks; sensing and information diffusion; and coordination of decision making via game-theoretic learning.

Molecular communication (MC) is a bio-inspired paradigm where the exchange of information is realized through the transmission, propagation, and reception of molecules. This book analyses the MC paradigm from the point of view of communication engineering and information theory, and provides solutions to the design of MC-based nanonetworks.

Explains the importance of cultural literacy in marketing, and why a solid understanding is vital to successful international marketing efforts. The authors use a conceptual and empirical framework for analysing how culture affects consumer behaviours, and provide seven steps for understanding the influence of culture on consumer behaviours.

Illustrates how classical and modern techniques from approximation theory play a crucial role in obtaining results that are relevant to the emerging theory of fast algorithms. This book is self-contained and should be of interest to researchers and students in theoretical computer science, numerical linear algebra, and related areas.

Electric circuits and river networks share similarities in both their network structure and derivation from conservation principals. This book presents the foundations for network analysis for both disciplines and shows how numerical methods developed for circuit simulations can significantly improve river network models.

Covers several aspects of the "optimism in the face of uncertainty" principle for large scale optimization problems under finite numerical budget. The book lays out the theoretical foundations of the field by characterizing the complexity of the optimization problems and designing efficient algorithms with performance guarantees.

Autonomous navigation is an essential capability for mobile robots. In order to operate robustly, a robot needs to know what the environment looks like, where it is in its environment, and how to navigate it. This book summarizes approaches that address these problems and that use particle filters as the underlying model for representing beliefs.

Discusses different interpretations of proximal operators and algorithms, looks at their connections to many other topics in optimization and applied mathematics, surveys some popular algorithms, and provides a large number of examples of proximal operators that commonly arise in practice.