Operations Research Methods

Bullying is a socially and culturally complex phenomenon that until now has largely been understood in the context of the individual. This book challenges the dominance of this approach, examining the processes of extreme exclusion that are enacted in bullying - whether at school, through face-to-face meetings or virtual encounters - in the context of group dynamics. Contributors draw upon qualitative empirical studies, mixed methods and statistics, to analyse the elements that allow bullying to emerge - the processes that produce exclusion and contempt, and the relations between children, teachers and parents. Introducing a new definition of bullying, this book goes on to discuss directions for future research and action, including more informed intervention strategies and re-thinking methods of prevention. Exploring bullying in the light of the latest research from a wide variety of disciplines, this book paves the way for a new paradigm through which to understand the field.

The common denominator of a growing number of hard decisions facing modern societies is the need to determine 'how safe is safe enough?'. The authors begin by defining acceptable-risk problems and analysing why they are so difficult to resolve, considering such issues as uncertainty about their definition, lack of relevant facts, conflicting and conflicted social values, and disagreements between technical experts and the lay public. Drawing on their own experience in risk management as well as the relevant research literatures, they identify and characterise the variety of methods that have been proposed for resolving acceptable-risk problems. They subject these methods to a rigorous critique in terms of philosophical presuppositions, technical feasibility, political acceptability, and validity of underlying assumptions about human behaviour. The authors construct a framework for deciding how to make decisions about risks, and offer recommendations for research, public policy, and pra

Social scientists have long relied on a wide range of tools to collect information about the social world, but as individual fields have become more specialised, researchers are trained to use a narrow range of the possible data collection methods. This book, first published in 2006, draws on a broad range of available social data collection methods to formulate a set of data collection approaches. The approaches described here are ideal for social science researchers who plan to collect new data about people, organisations, or social processes. Axinn and Pearce present methods designed to create a comprehensive empirical description of the subject being studied, with an emphasis on accumulating the information needed to understand what causes what with a minimum of error. In addition to providing methodological motivation and underlying principles, the book is filled with detailed instructions and concrete examples for those who wish to apply the methods to their research.

Social scientists have long relied on a wide range of tools to collect information about the social world, but as individual fields have become more specialised, researchers are trained to use a narrow range of the possible data collection methods. This book, first published in 2006, draws on a broad range of available social data collection methods to formulate a set of data collection approaches. The approaches described here are ideal for social science researchers who plan to collect new data about people, organisations, or social processes. Axinn and Pearce present methods designed to create a comprehensive empirical description of the subject being studied, with an emphasis on accumulating the information needed to understand what causes what with a minimum of error. In addition to providing methodological motivation and underlying principles, the book is filled with detailed instructions and concrete examples for those who wish to apply the methods to their research.

Even though molecular biology has long been a basic tool in biomedical research, scientists still face the question of why certain molecular biology methods are used for certain experiments. To unlock the mystery, one must first understand the principles behind the methods. Unfortunately, very few molecular biology books have successfully provided satisfactory explanations. This book intends to fill this void by offering topics ranging from basic knowledge to the current state of the art in applied molecular biology. The principles and applications related to each technique included in the text are all described in full detail.

Even though molecular biology has long been a basic tool in biomedical research, scientists still face the question of why certain molecular biology methods are used for certain experiments. To unlock the mystery, one must first understand the principles behind the methods. Unfortunately, very few molecular biology books have successfully provided satisfactory explanations. This book intends to fill this void by offering topics ranging from basic knowledge to the current state of the art in applied molecular biology. The principles and applications related to each technique included in the text are all described in full detail.

Partial differential equations provide mathematical models of many important problems in the physical sciences and engineering. This book, first published in 2000, treats one class of such equations, concentrating on methods involving the use of surface potentials. It provided the first detailed exposition of the mathematical theory of boundary integral equations of the first kind on non-smooth domains. Included are chapters on three specific examples: the Laplace equation, the Helmholtz equation and the equations of linear elasticity. The book is designed to provide an ideal preparation for studying the modern research literature on boundary element methods.

Partial differential equations provide mathematical models of many important problems in the physical sciences and engineering. This book, first published in 2000, treats one class of such equations, concentrating on methods involving the use of surface potentials. It provided the first detailed exposition of the mathematical theory of boundary integral equations of the first kind on non-smooth domains. Included are chapters on three specific examples: the Laplace equation, the Helmholtz equation and the equations of linear elasticity. The book is designed to provide an ideal preparation for studying the modern research literature on boundary element methods.

Deep learning is revolutionizing how machine translation systems are built today. This book introduces the challenge of machine translation and evaluation - including historical, linguistic, and applied context -- then develops the core deep learning methods used for natural language applications. Code examples in Python give readers a hands-on blueprint for understanding and implementing their own machine translation systems. The book also provides extensive coverage of machine learning tricks, issues involved in handling various forms of data, model enhancements, and current challenges and methods for analysis and visualization. Summaries of the current research in the field make this a state-of-the-art textbook for undergraduate and graduate classes, as well as an essential reference for researchers and developers interested in other applications of neural methods in the broader field of human language processing.

Quantum engineering – the design and fabrication of quantum coherent structures – has emerged as a field in physics with important potential applications. This book provides a self-contained presentation of the theoretical methods and experimental results in quantum engineering. The book covers topics such as the quantum theory of electric circuits, theoretical methods of quantum optics in application to solid state circuits, the quantum theory of noise, decoherence and measurements, Landauer formalism for quantum transport, the physics of weak superconductivity and the physics of two-dimensional electron gas in semiconductor heterostructures. The theory is complemented by up-to-date experimental data to help put it into context. Aimed at graduate students in physics, the book will enable readers to start their own research and apply the theoretical methods and results to their current experimental situation.

Phase diagrams are used in materials research and engineering to understand the interrelationship between composition, microstructure and process conditions. In complex systems, computational methods such as CALPHAD are employed to model thermodynamic properties for each phase and simulate multicomponent phase behavior. Written by recognized experts in the field, this is an introductory guide to the CALPHAD method, providing a theoretical and practical approach. Building on core thermodynamic principles, this 2007 book applies crystallography, first principles methods and experimental data to computational phase behavior modeling using the CALPHAD method. With a chapter dedicated to creating thermodynamic databases, the reader will be confident in assessing, optimizing and validating complex thermodynamic systems alongside database construction and manipulation. Several case studies put the methods into a practical context, making this suitable for use on advanced materials design and

Second Language Research: Methodology and Design is a clear, comprehensive overview of cure issues in L2 research. Authored by well-known scholars in SLA and supported by a wealth of examples from actual studies and extensive pedagogical resources, this book first introduces students to the key topics and debates in L2 research. It then guides readers step-by step through the research process - from basic principles and collection methods through study design, and reporting - to the point of being able to conduct their own research from beginning to end.This book is an essential text for students and novice researchers of SLA, applied linguistics, and second and foreign language teaching. Key FeaturesA wealth of graphics, visuals and exercises in each chapter. "Time to think" and "Time to do" boxes within chaptersHelpful glossary and extensive author and subject indicesNew to This EditionSubstantially reorganized chaptersSignificantly expanded chapters on qualitative and mixed methodsS

Pragmatics is the study of human communication: the choices speakers make to express their intended meaning and the kinds of inferences that hearers draw from an utterance in the context of its use. This Handbook surveys pragmatics from different perspectives, presenting the main theories in pragmatic research, incorporating seminal research as well as cutting-edge solutions. It addresses questions of rational and empirical research methods, what counts as an adequate and successful pragmatic theory, and how to go about answering problems raised in pragmatic theory. In the fast-developing field of pragmatics, this Handbook fills the gap in the market for a one-stop resource to the wide scope of today's research and the intricacy of the many theoretical debates. It is an authoritative guide for graduate students and researchers with its focus on the areas and theories that will mark progress in pragmatic research in the future.

Pragmatics is the study of human communication: the choices speakers make to express their intended meaning and the kinds of inferences that hearers draw from an utterance in the context of its use. This Handbook surveys pragmatics from different perspectives, presenting the main theories in pragmatic research, incorporating seminal research as well as cutting-edge solutions. It addresses questions of rational and empirical research methods, what counts as an adequate and successful pragmatic theory, and how to go about answering problems raised in pragmatic theory. In the fast-developing field of pragmatics, this Handbook fills the gap in the market for a one-stop resource to the wide scope of today's research and the intricacy of the many theoretical debates. It is an authoritative guide for graduate students and researchers with its focus on the areas and theories that will mark progress in pragmatic research in the future.

Plasticity refers to the ability of many organisms to change their biology or behaviour to respond to changes in the environment, particularly when these are stressful. Humans are, perhaps, the most plastic of all species, and hence the most variable. This book reflects on the history of research in this area, state-of-the-art research methods and discoveries and needs for future research in human plasticity and variability. Topics discussed include child growth, starvation, disease of both young and old and the effects of migration, modernisation and other life-style changes. The book will be especially useful to biological anthropologists, human biologists and medical scientists interested in knowing more about how and why humans vary.

Plasticity refers to the ability of many organisms to change their biology or behaviour to respond to changes in the environment, particularly when these are stressful. Humans are, perhaps, the most plastic of all species, and hence the most variable. This book reflects on the history of research in this area, state-of-the-art research methods and discoveries and needs for future research in human plasticity and variability. Topics discussed include child growth, starvation, disease of both young and old and the effects of migration, modernisation and other life-style changes. The book will be especially useful to biological anthropologists, human biologists and medical scientists interested in knowing more about how and why humans vary.

This book was first published in 2003. Combinatorica, an extension to the popular computer algebra system Mathematica®, is the most comprehensive software available for teaching and research applications of discrete mathematics, particularly combinatorics and graph theory. This book is the definitive reference/user's guide to Combinatorica, with examples of all 450 Combinatorica functions in action, along with the associated mathematical and algorithmic theory. The authors cover classical and advanced topics on the most important combinatorial objects: permutations, subsets, partitions, and Young tableaux, as well as all important areas of graph theory: graph construction operations, invariants, embeddings, and algorithmic graph theory. In addition to being a research tool, Combinatorica makes discrete mathematics accessible in new and exciting ways to a wide variety of people, by encouraging computational experimentation and visualization. The book contains no formal proofs, but enoug

The use of formal mathematical models and optimization in finance has become common practice in the 1980s and 1990s. This book clearly presents the exciting symbiosis between the fields of finance and management science/operations research. Prominent researchers present the state of the art in financial optimization, while analysts from industry discuss the latest business techniques practised by financial firms in New York, London and Tokyo. The book covers a wide range of topics: portfolio management of equities and fixed income investments, the pricing of complex insurance, mortgage and other asset-backed products, and models for risk-management and diversification.

The advent of advanced astronomical instruments and huge surveys means that the twenty-first century is witnessing a rapid growth in astrostatistical science. Interpreting the cosmic microwave background, weak and strong gravitational lensing, galaxy clustering and other signatures of the early Universe all require advanced statistical techniques. Led by members of the IAU's newly formed Working Group in Astrostatistics and Astroinformatics, IAU Symposium 306 emphasises the intricate mathematical methods needed to extract scientific insights from large and complicated datasets. It contains contributions on Bayesian methods, weak lensing cosmology, CMB data analysis, cross-correlating datasets, large-scale structure, data mining and machine learning, ongoing surveys and the future Euclid mission. The approaches presented here provide a solid foundation to advance new research methods in cosmology, making it an essential text for the large community of astronomers and statisticians who w

Providing a new perspective on quantum field theory, this book gives a pedagogical and up-to-date exposition of non-perturbative methods in relativistic quantum field theory and introduces the reader to modern research work in theoretical physics. It describes in detail non-perturbative methods in quantum field theory, and explores two- dimensional and four- dimensional gauge dynamics using those methods. The book concludes with a summary emphasizing the interplay between two- and four- dimensional gauge theories. Aimed at graduate students and researchers, this book covers topics from two-dimensional conformal symmetry, affine Lie algebras, solitons, integrable models, bosonization, and 't Hooft model, to four-dimensional conformal invariance, integrability, large N expansion, Skyrme model, monopoles and instantons. Applications, first to simple field theories and gauge dynamics in two dimensions, and then to gauge theories in four dimensions and quantum chromodynamics (QCD) in partic

Stochastic processes are an essential part of numerous branches of physics, as well as in biology, chemistry, and finance. This textbook provides a solid understanding of stochastic processes and stochastic calculus in physics, without the need for measure theory. In avoiding measure theory, this textbook gives readers the tools necessary to use stochastic methods in research with a minimum of mathematical background. Coverage of the more exotic Levy processes is included, as is a concise account of numerical methods for simulating stochastic systems driven by Gaussian noise. The book concludes with a non-technical introduction to the concepts and jargon of measure-theoretic probability theory. With over 70 exercises, this textbook is an easily accessible introduction to stochastic processes and their applications, as well as methods for numerical simulation, for graduate students and researchers in physics.

The dynamics of physical, chemical, biological or fluid systems generally must be described by nonlinear models, whose detailed mathematical solutions are not obtainable. To understand some aspects of such dynamics, various complementary methods and viewpoints are of crucial importance. In this book and its companion volume, Perspectives of nonlinear dynamics, volume 1, the perspectives generated by analytical, topological and computational methods, and interplays between them, are developed in a variety of contexts. The presentation and style is intended to stimulate the reader's imagination to apply these methods to a host of problems and situations. The text is complemented by copious references, extensive historical and bibliographical notes, exercises and examples, and appendices giving more details of some mathematical ideas. Each chapter includes an extensive section commentary on the exercises and their solution. Graduate students and research workers in physics, applied mathem

Biostatistics with R provides a straightforward introduction on how to analyse data from the wide field of biological research, including nature protection and global change monitoring. The book is centred around traditional statistical approaches, focusing on those prevailing in research publications. The authors cover t-tests, ANOVA and regression models, but also the advanced methods of generalised linear models and classification and regression trees. Chapters usually start with several useful case examples, describing the structure of typical datasets and proposing research-related questions. All chapters are supplemented by example datasets, step-by-step R code demonstrating analytical procedures and interpretation of results. The authors also provide examples of how to appropriately describe statistical procedures and results of analyses in research papers. This accessible textbook will serve a broad audience, from students, researchers or professionals looking to improve their

Biostatistics with R provides a straightforward introduction on how to analyse data from the wide field of biological research, including nature protection and global change monitoring. The book is centred around traditional statistical approaches, focusing on those prevailing in research publications. The authors cover t-tests, ANOVA and regression models, but also the advanced methods of generalised linear models and classification and regression trees. Chapters usually start with several useful case examples, describing the structure of typical datasets and proposing research-related questions. All chapters are supplemented by example datasets, step-by-step R code demonstrating analytical procedures and interpretation of results. The authors also provide examples of how to appropriately describe statistical procedures and results of analyses in research papers. This accessible textbook will serve a broad audience, from students, researchers or professionals looking to improve their

This state-of-the-art book reviews key issues and methods in medical image perception research through associated techniques, illustrations and examples. Written by key figures in the field, the book covers a range of topics including the history of medical image perception research, the basics of vision and cognition, and dedicated application areas, especially those concerned with the interface between the clinician and the display of medical image data. It summarises many of the basic techniques used to conduct and analyse medical image perception and observer performance research, allowing readers to understand basic research techniques so they can adopt them for use in their own studies. Written for both newcomers to the field and experienced researchers, this book provides a broad overview of medical image perception, and will serve as a reference volume for years to come.

Precision CNC Machining for High-Performance Gears: Theory and Technology covers basic theories and methods, key technologies, and machining equipment in precision CNC machining of high-performance gears. Sections cover research status and development trends of machining technologies and CNC machining equipment of high-performance gears, calculation theories of the precision modification method of high-performance gears, methods of reducing the machining principle errors of high-performance gears, the modeling method of multi-source errors and the compensation technique of CNC gear machine tools, the key technologies of precision CNC gear machine tools, the optimization method of the process parameters of hobbing and grinding, key technologies, and more.

Presenting state-of-the-art research into methods of wireless spectrum allocation based on game theory and mechanism design, this innovative and comprehensive book provides a strong foundation for the design of future wireless mechanisms and spectrum markets. Prominent researchers showcase a diverse range of novel insights and approaches to the increasing demand for limited spectrum resources, with a consistent emphasis on theoretical methods, analytical results and practical examples. Covering fundamental underlying principles, licensed spectrum sharing, opportunistic spectrum sharing, and wider technical and economic considerations, this singular book will be of interest to academic and industrial researchers, wireless industry practitioners, and regulators interested in the foundations of cutting-edge spectrum management.

Understand the fundamental principles and applications of ambient backscatter technology with this authoritative review. Covering both theory and practical engineering, leading researchers describe and explain hardware design, network design, and signal processing, and discuss architectures, protocols, communication methods, open research issues, emerging applications, and advanced system models with innovative solutions. This is an essential tool for graduate students, researchers, engineers, developers, and entrepreneurs.

This collection brings together important contributions by leading econometricians on (i) parametric approaches to qualitative and sample selection models, (ii) nonparametric and semi-parametric approaches to qualitative and sample selection models, and (iii) nonlinear estimation of cross-sectional and time series models. The advances achieved here can have important bearing on the choice of methods and analytical techniques in applied research.

This collection brings together important contributions by leading econometricians on (i) parametric approaches to qualitative and sample selection models, (ii) nonparametric and semi-parametric approaches to qualitative and sample selection models, and (iii) nonlinear estimation of cross-sectional and time series models. The advances achieved here can have important bearing on the choice of methods and analytical techniques in applied research.

Good Science is an account of psychological research emphasizing the moral foundations of inquiry. This volume brings together existing disciplinary critiques of scientism, objectivism, and instrumentalism, and then discusses how these contribute to institutionalized privilege and to less morally responsive research practices. The author draws on historical, critical, feminist, and science studies traditions to provide an alternative account of psychological science and to highlight the irreducibly moral foundations of everyday scientific practice. This work outlines a theoretical framework for thinking about and practicing psychology in ways that center moral responsibility, collective commitment, and justice. The book then applies this framework, describing psychological research practices in terms of the their moral dilemmas. Also included are materials meant to aid in methods instruction and mentoring.

There has been a surge in scholarship on policy design over the last ten years, as scholars seek to understand and develop existing concepts, theories, and methods engaged in the study of policy design in the context of modern governance. This Element adds to the current discourse on the study of policy design by (i) presenting behavioral assumptions and structural features of policy design; (ii) presenting a multi-level analytical framework for organizing policy design research; (iii) highlighting the role of policy compatibility and policy adaptability in influencing policy efficacy; and (iv) presenting future research recommendations relating to these topics.

This book provides an authoritative account of how the US, British, and French armies have transformed since the end of the Cold War. All three armies have sought to respond to changes in their strategic and socio-technological environments by developing more expeditionary capable and networked forces. Drawing on extensive archival research, hundreds of interviews, and unprecedented access to official documents, the authors examine both the process and the outcomes of army transformation, and ask how organizational interests, emerging ideas, and key entrepreneurial leaders interact in shaping the direction of military change. They also explore how programs of army transformation change over time, as new technologies moved from research to development, and as lessons from operations were absorbed. In framing these issues, they draw on military innovation scholarship and, in addressing them, produce findings with general relevance for the study of how militaries innovate.

This book provides an authoritative account of how the US, British, and French armies have transformed since the end of the Cold War. All three armies have sought to respond to changes in their strategic and socio-technological environments by developing more expeditionary capable and networked forces. Drawing on extensive archival research, hundreds of interviews, and unprecedented access to official documents, the authors examine both the process and the outcomes of army transformation, and ask how organizational interests, emerging ideas, and key entrepreneurial leaders interact in shaping the direction of military change. They also explore how programs of army transformation change over time, as new technologies moved from research to development, and as lessons from operations were absorbed. In framing these issues, they draw on military innovation scholarship and, in addressing them, produce findings with general relevance for the study of how militaries innovate.

Tackling the questions that systems designers care about, this book brings queueing theory decisively back to computer science. The book is written with computer scientists and engineers in mind and is full of examples from computer systems, as well as manufacturing and operations research. Fun and readable, the book is highly approachable, even for undergraduates, while still being thoroughly rigorous and also covering a much wider span of topics than many queueing books. Readers benefit from a lively mix of motivation and intuition, with illustrations, examples and more than 300 exercises – all while acquiring the skills needed to model, analyze and design large-scale systems with good performance and low cost. The exercises are an important feature, teaching research-level counterintuitive lessons in the design of computer systems. The goal is to train readers not only to customize existing analyses but also to invent their own.

Oriented matroids are a very natural mathematical concept which presents itself in many different guises and which has connections and applications to many different areas. These include discrete and computational geometry, combinatorics, convexity, topology, algebraic geometry, operations research, computer science and theoretical chemistry. This is the second edition of the first comprehensive, accessible account of the subject. It is intended for a diverse audience: graduate students who wish to learn the subject from scratch; researchers in the various fields of application who want to concentrate on certain aspects of the theory; specialists who need a thorough reference work; and others at academic points in between. A list of exercises and open problems ends each chapter. For the second edition, the authors have expanded the bibliography greatly to ensure that it remains comprehensive and up-to-date, and they have also added an appendix surveying research since the work was firs

This comprehensive text provides an excellent introduction to the state of the art in the identification of network-connected systems. It covers models and methods in detail, includes a case study showing how many of these methods are applied in adaptive optics and addresses open research questions. Specific models covered include generic modelling for MIMO LTI systems, signal flow models of dynamic networks and models of networks of local LTI systems. A variety of different identification methods are discussed, including identification of signal flow dynamics networks, subspace-like identification of multi-dimensional systems and subspace identification of local systems in an NDS. Researchers working in system identification and/or networked systems will appreciate the comprehensive overview provided, and the emphasis on algorithm design will interest those wishing to test the theory on real-life applications. This is the ideal text for researchers and graduate students interested in

Economists have begun to make much greater use of experimental methods in their research. The award of the Nobel Prize in 2002 to Vernon Smith confirmed that the use of such methods is now seen as an important and credible part of the economist's toolkit. In Experiments and Competition Policy, leading scholars in the field of experimental economics survey the use of experimental methods and show how they can help us to understand firm behaviour in relation to various forms of competition policy. Chapters are organized in terms of the main fields of competition policy - collusion, abusive practices and mergers - and there is also a separate section dealing with auctions and procurement. Written in a clear and non-technical style, this volume is an excellent introduction to what the increasingly important field of experimental economics can bring to the theory and practice of competition policy.

When this book was first published, recent aspects of human factors research had led to methodologies that integrated usability into the development of interactive systems. MUSE was one of the pioneering methods for Usability Engineering. It provides an environment in which human factors contributions can realise their full potential. MUSE supports active human factors involvement in both design specification and evaluation, and takes system development from user requirements to user interface design. Its methods describe how design errors can be avoided or rectified throughout system development, as well as showing how errors can be identified and providing support for inter-disciplinary design planning and coordination. It therefore ranks as one of the best developed and most completely structured human factors methods. This book reviews the motivation for developing MUSE, and provides readers with a manual for method application. It will be essential reading for all involved with sy

Economists have begun to make much greater use of experimental methods in their research. The award of the Nobel Prize in 2002 to Vernon Smith confirmed that the use of such methods is now seen as an important and credible part of the economist's toolkit. In Experiments and Competition Policy, leading scholars in the field of experimental economics survey the use of experimental methods and show how they can help us to understand firm behaviour in relation to various forms of competition policy. Chapters are organized in terms of the main fields of competition policy - collusion, abusive practices and mergers - and there is also a separate section dealing with auctions and procurement. Written in a clear and non-technical style, this volume is an excellent introduction to what the increasingly important field of experimental economics can bring to the theory and practice of competition policy.