Applied Complex Variables

This collection of essays explores the different ways the insights from complexity theory can be applied to law. Complexity theory – a variant of systems theory – views law as an emergent, complex, se

Econometrics can at first appear a highly technical subject, but it can also equip the practitioner with a useful skillset of smart ways to formulate research questions and collect data. Enjoyable Econometrics applies econometric methods to a variety of unusual and engaging research questions, often beyond the realm of economics, demonstrating the great potential of using such methods to understand a wide range of phenomena. Unlike the typical textbook approach, Enjoyable Econometrics follows in the footsteps of Freakonomics by posing interesting questions first before introducing the methodology to find the answers. Therefore, rather than equation-heavy sections based around complex methodologies, the reader is presented with chapters on 'Money' and 'Fashion, Art and Music'. Franses writes in a way that will enthuse and motivate the economics student embarking upon the essential study of econometrics. Indeed, the book shows that econometric methods can be applied to almost anything.

Econometrics can at first appear a highly technical subject, but it can also equip the practitioner with a useful skillset of smart ways to formulate research questions and collect data. Enjoyable Econometrics applies econometric methods to a variety of unusual and engaging research questions, often beyond the realm of economics, demonstrating the great potential of using such methods to understand a wide range of phenomena. Unlike the typical textbook approach, Enjoyable Econometrics follows in the footsteps of Freakonomics by posing interesting questions first before introducing the methodology to find the answers. Therefore, rather than equation-heavy sections based around complex methodologies, the reader is presented with chapters on 'Money' and 'Fashion, Art and Music'. Franses writes in a way that will enthuse and motivate the economics student embarking upon the essential study of econometrics. Indeed, the book shows that econometric methods can be applied to almost anything.

Innovation is a systemic phenomenon in which institutions, such as firms, government entities and public policy incentives, interact in complex ways. Targeting specific sectors of an economy in order to improve the competitiveness and capabilities of domestic firms, interventionist innovation policies can result in the structural transformation of host economies. Numerous examples exist of such policies working successfully in emerging economies and they can be applied to any economic sector, although they are commonly associated with highly innovative industries such ICT, biotechnology and nanotechnology. Innovation Systems, Policy and Management describes how institutions and markets can best be structured in order to promote innovation in key economic sectors. Bringing together some of the leading figures in industrial policy and the economics of innovation and entrepreneurship, this book encourages the reader to think in terms of systems and business dynamics when analysing innovat

This revised and updated book explores the academics behind managing the complex service environment that is the ED by combining applied management science and practical experiences to create a model

Thermodynamics of Phase Equilibria in Food Engineering is the definitive book on the thermodynamics of equilibrium applied to food engineering. Food is a complex matrix, consisting of different classe

This book presents a new approach that can be applied to complex, integrated individual and social human processes. It provides an alternative means of addressing complexity, better suited for its pur

Protecting designs is complex and diverse; it involves deciding whether to protect them by design law, copyright law, or by both laws. A single protection may be under- or overprotective but two or more can be overprotective if there are no rules regulating the overlap. Legal systems in Europe and abroad have struggled to find the most adequate solution to this problem. This book traces the history of the design/copyright interface of fifteen countries, selected for their diversity in the way they dealt with the interface. It examines how these countries have coped with the problems engendered by the interface, the rules they applied to it over time and the reasons for legislative changes. This analysis reveals the most appropriate rules to regulate the interface at EU and global level and will appeal to academics, practising lawyers, judges, students and policymakers all over the world.

This book shows how the three-term contingency paradigm created by B.F. Skinner can be applied to describe and explain cultural practices phenomena produced by complex relations between behavior and e

Discover a fresh approach for designing more efficient and cooperative wireless communications networks with this systematic guide. Covering everything from fundamental theory to current research topics, leading researchers describe a new, network-aware coding strategy that exploits the signal interactions that occur in dense wireless networks directly at the waveform level. Using an easy-to-follow, layered structure, this unique text begins with a gentle introduction for those new to the subject, before moving on to explain key information-theoretic principles and establish a consistent framework for wireless physical layer network coding (WPNC) strategies. It provides a detailed treatment of Network Coded Modulation, covers a range of WPNC techniques such as Noisy Network Coding, Compute and Forward, and Hierarchical Decode and Forward, and explains how WPNC can be applied to parametric fading channels, frequency selective channels, and complex stochastic networks. This is essential

In contrast to mainstream economics, complexity theory conceives the economy as a complex system of heterogeneous interacting agents characterised by limited information and bounded rationality. Agent Based Models (ABMs) are the analytical and computational tools developed by the proponents of this emerging methodology. Aimed at students and scholars of contemporary economics, this book includes a comprehensive toolkit for agent-based computational economics, now quickly becoming the new way to study evolving economic systems. Leading scholars in the field explain how ABMs can be applied fruitfully to many real-world economic examples and represent a great advancement over mainstream approaches. The essays discuss the methodological bases of agent-based approaches and demonstrate step-by-step how to build, simulate and analyse ABMs and how to validate their outputs empirically using the data. They also present a wide set of applications of these models to key economic topics, including

In contrast to mainstream economics, complexity theory conceives the economy as a complex system of heterogeneous interacting agents characterised by limited information and bounded rationality. Agent Based Models (ABMs) are the analytical and computational tools developed by the proponents of this emerging methodology. Aimed at students and scholars of contemporary economics, this book includes a comprehensive toolkit for agent-based computational economics, now quickly becoming the new way to study evolving economic systems. Leading scholars in the field explain how ABMs can be applied fruitfully to many real-world economic examples and represent a great advancement over mainstream approaches. The essays discuss the methodological bases of agent-based approaches and demonstrate step-by-step how to build, simulate and analyse ABMs and how to validate their outputs empirically using the data. They also present a wide set of applications of these models to key economic topics, including

Fronts uncovers a growing geography of codependence between the global security complex and the urban morphologies of the developing world which it increasingly incriminates. Military training sites,

Gain a solid understanding of Light-Emitting Diode (LED) Systems Theory with this unique book. Written by a leading expert in LED lighting, it links together the photometric, electrical, thermal and chromatic elements of LED systems into a single, unified framework, and explores their complex interactions with one another. • Get to grips with chromatic, photometric and thermal modelling of LED systems • Discover new techniques for precise dimming and colour control • Learn methods for determining system parameters and internal variables • Gain insight into advanced applications for LED system design and optimization Providing straightforward and intuitive explanations, this is an ideal guide for professional engineers, graduate students and researchers working on solid-state lighting systems and smart lighting, and those taking advanced courses on LED devices and systems.

The uncertainty that researchers face in specifying their estimation model threatens the validity of their inferences. In regression analyses of observational data, the 'true model' remains unknown, and researchers face a choice between plausible alternative specifications. Robustness testing allows researchers to explore the stability of their main estimates to plausible variations in model specifications. This highly accessible book presents the logic of robustness testing, provides an operational definition of robustness that can be applied in all quantitative research, and introduces readers to diverse types of robustness tests. Focusing on each dimension of model uncertainty in separate chapters, the authors provide a systematic overview of existing tests and develop many new ones. Whether it be uncertainty about the population or sample, measurement, the set of explanatory variables and their functional form, causal or temporal heterogeneity, or effect dynamics or spatial depende

The uncertainty that researchers face in specifying their estimation model threatens the validity of their inferences. In regression analyses of observational data, the 'true model' remains unknown, and researchers face a choice between plausible alternative specifications. Robustness testing allows researchers to explore the stability of their main estimates to plausible variations in model specifications. This highly accessible book presents the logic of robustness testing, provides an operational definition of robustness that can be applied in all quantitative research, and introduces readers to diverse types of robustness tests. Focusing on each dimension of model uncertainty in separate chapters, the authors provide a systematic overview of existing tests and develop many new ones. Whether it be uncertainty about the population or sample, measurement, the set of explanatory variables and their functional form, causal or temporal heterogeneity, or effect dynamics or spatial depende

The concepts of statistical physics and big data play an important role in the evidence-based analysis and interpretation of macroeconomic principles. The techniques of complex networks, big data, and statistical physics are useful to understand theories of economic systems, and the authors have applied these to understand the intricacies of complex macroeconomic problems. Recent research work using tools and techniques of big data, statistical physics, complex networks, and statistical science is covered, and basic graph algorithms and statistical measures of complex networks are described. The application of big data and statistical physics tools to assess price dynamics, inflation, systemic risks, and productivity is discussed. Chapter-end summary and numerical problems are provided to reinforce understanding of concepts.

This book shows impressively how complex mathematical modeling of materials can be applied to technological problems. Top-class researchers present the theoretical approaches in modern mechanics and a

One of the major problems of macroeconomic theory is the way in which the people exchange goods in decentralized market economies. There are major disagreements among macroeconomists regarding tools to influence required outcomes. Since the mainstream efficient market theory fails to provide an internal coherent framework, there is a need for an alternative theory. The book provides an innovative approach for the analysis of agent based models, populated by the heterogeneous and interacting agents in the field of financial fragility. The text is divided in two parts; the first presents analytical developments of stochastic aggregation and macro-dynamics inference methods. The second part introduces macroeconomic models of financial fragility for complex systems populated by heterogeneous and interacting agents. The concepts of financial fragility and macroeconomic dynamics are explained in detail in separate chapters. The statistical physics approach is applied to explain theories of m

Ben Hogan made hitting a golf ball look easy, and the results spoke for themselves. But Hogan’s “swing system” is as complex as a spider’s web; the variables and connections are never-ending. In Ben H

This book demonstrates the use of a wide range of strategic engineering concepts, theories and applied case studies to improve the safety, security and sustainability of complex and large-scale engine

Complex software systems have been designed to efficiently handle large numbers of variables. In manufacturing, variables affect every part of the supply chain from inventory to production to delivery

Complex software systems have been designed to efficiently handle large numbers of variables. In manufacturing, variables affect every part of the supply chain from inventory to production to delivery

In syntactic analysis, as in linguistics generally, the skills required to first identify, and then make sense of, complex patterns in linguistic data involve a certain specific kind of reasoning, where various alternatives are entertained and modified in light of progressively broader empirical coverage. Rather than focus on transmitting the details of complex theoretical superstructures, this textbook takes a practical, analytical approach, starting from a small set of powerful analytic tools, applied first to simple phenomena and then to the passive, complement and raising/control constructions. The analytic tools are then applied to unbounded dependencies, via detailed argumentation. What emerges is that syntactic structure, and intricate networks of dependencies linking different parts of those structures, are straightforward projections of lexical valence, in tandem with very general rules regulating the sharing of feature values. Featuring integrated exercises and problems throu

In syntactic analysis, as in linguistics generally, the skills required to first identify, and then make sense of, complex patterns in linguistic data involve a certain specific kind of reasoning, where various alternatives are entertained and modified in light of progressively broader empirical coverage. Rather than focus on transmitting the details of complex theoretical superstructures, this textbook takes a practical, analytical approach, starting from a small set of powerful analytic tools, applied first to simple phenomena and then to the passive, complement and raising/control constructions. The analytic tools are then applied to unbounded dependencies, via detailed argumentation. What emerges is that syntactic structure, and intricate networks of dependencies linking different parts of those structures, are straightforward projections of lexical valence, in tandem with very general rules regulating the sharing of feature values. Featuring integrated exercises and problems throu

This book offers a unified perspective on the study of complex systems for scholars of various disciplines, including mathematics, physics, computer science, biology, economics and social science. The contributions, written by leading scientists, cover a broad set of topics, including new approaches to data science, the connection between scaling limits and conformal field theories, and new ideas on the Legendre duality approach in statistical mechanics of disordered systems. The volume moreover explores results on extreme values of correlated random variables and their connection with the Riemann zeta functions, the relation between diffusion phenomena and complex systems, and the Brownian web, which appears as the universal scaling limit of several probabilistic models. Written for researchers from a broad range of scientific fields, this text examines a selection of recent developments in complex systems from a rigorous perspective.

As more Africans get online, information and communication technologies (ICTs) are increasingly hailed for their transformative potential. Yet, the fascination for the possibilities of promoting more inclusive forms of development in the information age have obfuscated the reality of the complex negotiations among political and economic actors who are seeking to use technology in their competition for power. Building on over ten years of research in Ethiopia, Iginio Gagliardone investigates the relationship between politics, development, and technological adoption in Africa's second most populous country and its largest recipient of development aid. The emphasis the book places on the 'technopolitics' of ICTs, and on their ability to embody and enact political goals, offers a strong and empirically grounded counter-argument to prevalent approaches to the study of technology and development that can be applied to other cases in Africa and beyond.

This book presents a new approach that can be applied to complex, integrated individual and social human processes. It provides an alternative means of addressing complexity, better suited for its pur

Predictive modeling uses data to forecast future events. It exploits relationships between explanatory variables and the predicted variables from past occurrences to predict future outcomes. Forecasting financial events is a core skill that actuaries routinely apply in insurance and other risk-management applications. Predictive Modeling Applications in Actuarial Science emphasizes life-long learning by developing tools in an insurance context, providing the relevant actuarial applications, and introducing advanced statistical techniques that can be used to gain a competitive advantage in situations with complex data. Volume 2 examines applications of predictive modeling. Where Volume 1 developed the foundations of predictive modeling, Volume 2 explores practical uses for techniques, focusing on property and casualty insurance. Readers are exposed to a variety of techniques in concrete, real-life contexts that demonstrate their value and the overall value of predictive modeling, for se

While there are many Six Sigma books on the market, this book's objective to clarify and focus on the important aspects now that it's been applied in many industries. It seeks simplify a complex subje

Now in its third edition, this textbook develops the economic way of thinking through problems that MBA students will find relevant to their career goals. Theory and mathematics are kept as simple as possible and illustrated with real-life scenarios. The textbook package includes online video tutorials on key concepts and complex arguments, and topics likely to be assessed in exams. The distinguished author team has developed this textbook over twenty years of teaching microeconomics to MBA students. Chapters are clearly structured to support learning: Part I of each chapter develops key economic principles, whilst Part II draws on those principles to discuss organizational and incentive issues in management and focuses on solving the 'principal-agent' problem to maximize the profitability of the firm - lessons that can be applied to problems MBA students will face in the future. Economics and management are treated equally; this unique textbook presents economics as part of the everyd

Modern science has shown that in order to behave more productively in complex business situations, we need to understand and alter the inner workings of our brain. With insight from applied neuroscien

Framework agreements have arisen in response to the well documented and high costs of public procurement procedures. The agreements have significant potential to improve procedural efficiency in public procurement, but are complex to operate. Inadequate preparation and implementation can also frustrate their potential both to tackle waste, abuse and corruption and to enhance value for money. In this enlightening book, Gian Luigi Albano and Caroline Nicholas look at the key decisions required for designing and using framework agreements, and address both legal and economic issues to give the reader a clear understanding of the planning, variables and flexibility needed for efficient implementation. This book will be of interest to policy makers, lawyers and public procurement practitioners who want to deepen their understanding of the legal and economic issues surrounding framework agreements.

Many of the operators one meets in several complex variables, such as the famous Lewy operator, are not locally solvable. Nevertheless, such an operator L can be thoroughly studied if one can find a s

Provides knowledge, understanding and guidance to the detailed and complex requirements of health and safety legislation as applied to the construction industry. This book provides the knowledge, unde

Environmental site investigation and characterization is a complex process that often includes a large number of variables, a limited number of resources, and not nearly enough time to complete proper

Although customary international law has long been an important source of rights and obligations in international relations, there has been extensive debate in recent years about whether this body of law is equipped to address complex modern problems such as climate change, international terrorism, and global financial instability. In addition, there is growing uncertainty about how, precisely, international and domestic courts should identify rules of customary international law. Custom's Future seeks to address this uncertainty by providing a better understanding of how customary international law has developed over time, the way in which it is applied in practice, and the challenges that it faces going forward. Reflecting an interdisciplinary mix of historical, empirical, economic, philosophical, and doctrinal analysis, and containing chapters by leading international law experts, it will be of use to lawyers, judges, and researchers alike.

Multi-scale systems, involving complex interacting processes that occur over a range of temporal and spatial scales, are present in a broad range of disciplines. Several methodologies exist to retrieve this multi-scale information from a given time series; however, each method has its own limitations. This book presents the mathematical theory behind the stochastic analysis of scaling time series, including a general historical introduction to the problem of intermittency in turbulence, as well as how to implement this analysis for a range of different applications. Covering a variety of statistical methods, such as Fourier analysis and wavelet transforms, it provides readers with a thorough understanding of the techniques and when to apply them. New techniques to analyse stochastic processes, including empirical mode decomposition, are also explored. Case studies, in turbulence and ocean sciences, are used to demonstrate how these statistical methods can be applied in practice, for st

Although customary international law has long been an important source of rights and obligations in international relations, there has been extensive debate in recent years about whether this body of law is equipped to address complex modern problems such as climate change, international terrorism, and global financial instability. In addition, there is growing uncertainty about how, precisely, international and domestic courts should identify rules of customary international law. Custom's Future seeks to address this uncertainty by providing a better understanding of how customary international law has developed over time, the way in which it is applied in practice, and the challenges that it faces going forward. Reflecting an interdisciplinary mix of historical, empirical, economic, philosophical, and doctrinal analysis, and containing chapters by leading international law experts, it will be of use to lawyers, judges, and researchers alike.

Gathering the right kind and the right amount of information is crucial for any decision-making process. This book presents a unified framework for assessing the value of potential data gathering schemes by integrating spatial modelling and decision analysis, with a focus on the Earth sciences. The authors discuss the value of imperfect versus perfect information, and the value of total versus partial information, where only subsets of the data are acquired. Concepts are illustrated using a suite of quantitative tools from decision analysis, such as decision trees and influence diagrams, as well as models for continuous and discrete dependent spatial variables, including Bayesian networks, Markov random fields, Gaussian processes, and multiple-point geostatistics. Unique in scope, this book is of interest to students, researchers and industry professionals in the Earth and environmental sciences, who use applied statistics and decision analysis techniques, and particularly to those wor