Design Structure Matrix Methods and Applications

A key problem in practical image processing is that of detecting certain features in a noisy image. Analysis of variance (ANOVA) techniques can be very effective in such situations, and this book gives a detailed account of the use of ANOVA in statistical image processing. The book begins by describing the statistical representation of images in the various ANOVA models. A number of computationally efficient algorithms and techniques are then presented, to deal with such problems as line, edge and object detection, as well as image restoration and enhancement. By describing the basic principles of these techniques, and showing their use in specific situations, the book will facilitate the design of new algorithms for particular applications. It will be of great interest to graduate students and engineers in the field of image processing and pattern recognition.

A key problem in practical image processing is that of detecting certain features in a noisy image. Analysis of variance (ANOVA) techniques can be very effective in such situations, and this book gives a detailed account of the use of ANOVA in statistical image processing. The book begins by describing the statistical representation of images in the various ANOVA models. A number of computationally efficient algorithms and techniques are then presented, to deal with such problems as line, edge and object detection, as well as image restoration and enhancement. By describing the basic principles of these techniques, and showing their use in specific situations, the book will facilitate the design of new algorithms for particular applications. It will be of great interest to graduate students and engineers in the field of image processing and pattern recognition.

Loss Models contains a wealth of examples that highlight the real-world applications of the concepts presented, and puts the emphasis on calculations and spreadsheet implementation. With a focus on the loss process, the book reviews the essential quantitative techniques such as random variables, basic distributional quantities, and the recursive method, and discusses techniques for classifying and creating distributions. Parametric, non-parametric, and Bayesian estimation methods are thoroughly covered. In addition, the authors offer practical advice for choosing an appropriate model. This important text:•Presents a revised and updated edition of the classic guide for actuaries that aligns with newly introduced Exams STAM and LTAM•Contains a wealth of exercises taken from previous exams•Includes fresh and additional content related to the material required by the Society of Actuaries (SOA) and the Canadian Institute of Actuaries (CIA)•Offers a solutions manual available for further ins

Determining orbits for natural and artificial celestial bodies is an essential step in the exploration and understanding of the Solar System. However, recent progress in the quality and quantity of data from astronomical observations and spacecraft tracking has generated orbit determination problems which cannot be handled by classical algorithms. This book presents new algorithms capable of handling the millions of bodies which could be observed by next generation surveys, and which can fully exploit tracking data with state-of-the-art levels of accuracy. After a general mathematical background and summary of classical algorithms, the new algorithms are introduced using the latest mathematical tools and results, to which the authors have personally contributed. Case studies based on actual astronomical surveys and space missions are provided, with applications of these new methods. Intended for graduate students and researchers in applied mathematics, physics, astronomy and aerospace

Since the turn of the century, Performance Studies has emerged as an increasingly vibrant discipline. Its concerns - embodiment, ethical research and social change - are held in common with many other fields, however a unique combination of methods and applications is used in exploration of the discipline. Bridging live art practices - theatre, performance art and dance - with technological media, and social sciences with humanities, it is truly hybrid and experimental in its techniques. This Companion brings together specially commissioned essays from leading scholars who reflect on their own experiences in Performance Studies and the possibilities this offers to representations of identity, self-and-other, and communities. Theories which have been absorbed into the field are applied to compelling topics in current academic, artistic and community settings. The collection is designed to reflect the diversity of outlooks and provide a guide for students as well as scholars seeking a pe

Since the turn of the century, Performance Studies has emerged as an increasingly vibrant discipline. Its concerns - embodiment, ethical research and social change - are held in common with many other fields, however a unique combination of methods and applications is used in exploration of the discipline. Bridging live art practices - theatre, performance art and dance - with technological media, and social sciences with humanities, it is truly hybrid and experimental in its techniques. This Companion brings together specially commissioned essays from leading scholars who reflect on their own experiences in Performance Studies and the possibilities this offers to representations of identity, self-and-other, and communities. Theories which have been absorbed into the field are applied to compelling topics in current academic, artistic and community settings. The collection is designed to reflect the diversity of outlooks and provide a guide for students as well as scholars seeking a pe

Space-time coding is a technique that promises greatly improved performance in wireless networks by using multiple antennas at the transmitter and receiver. Space-Time Block Coding for Wireless Communications, first published in 2003, is an introduction to the theory of this technology. The authors develop the topic using a unified framework and cover a variety of topics ranging from information theory to performance analysis and space-time coding methods for both flat and frequency-selective fading multiple-antenna channels. The authors concentrate on key principles rather than specific practical applications, and present the material in a concise and accessible manner. Their treatment reviews the fundamental aspects of multiple-input, multiple-output communication theory, and guides the reader through a number of topics at the forefront of research and development. The book includes homework exercises and is aimed at graduate students and researchers working on wireless communication

Do you want easy access to the latest methods in scientific computing? This greatly expanded third edition of Numerical Recipes has it, with wider coverage than ever before, many new, expanded and updated sections, and two completely new chapters. The executable C++ code, now printed in colour for easy reading, adopts an object-oriented style particularly suited to scientific applications. Co-authored by four leading scientists from academia and industry, Numerical Recipes starts with basic mathematics and computer science and proceeds to complete, working routines. The whole book is presented in the informal, easy-to-read style that made earlier editions so popular. Highlights of the new material include: a new chapter on classification and inference, Gaussian mixture models, HMMs, hierarchical clustering, and SVMs; a new chapter on computational geometry, covering KD trees, quad- and octrees, Delaunay triangulation, and algorithms for lines, polygons, triangles, and spheres; interior

Space-time coding is a technique that promises greatly improved performance in wireless networks by using multiple antennas at the transmitter and receiver. Space-Time Block Coding for Wireless Communications, first published in 2003, is an introduction to the theory of this technology. The authors develop the topic using a unified framework and cover a variety of topics ranging from information theory to performance analysis and space-time coding methods for both flat and frequency-selective fading multiple-antenna channels. The authors concentrate on key principles rather than specific practical applications, and present the material in a concise and accessible manner. Their treatment reviews the fundamental aspects of multiple-input, multiple-output communication theory, and guides the reader through a number of topics at the forefront of research and development. The book includes homework exercises and is aimed at graduate students and researchers working on wireless communication

In all but the rarest circumstances, the world's deadly conflicts are ended not through outright victory, but through a series of negotiations. Not all of these negotiations, however, yield a durable peace. To successfully mitigate conflict drivers, the parties in conflict must address a number of puzzles, such as whether and how to share and/or re-establish a state's monopoly of force, reallocate the ownership and management of natural resources, modify the state structure, or provide for a path toward external self-determination. Successfully resolving these puzzles requires the parties to navigate a number of conundrums and make choices and design mechanisms that are appropriate to the particular context of the conflict, and which are most likely to lead to a durable peace. Lawyering Peace aims to help future negotiators build better and more durable peace agreements through a rigorous examination of how other parties have resolved these puzzles and associated conundrums.

In all but the rarest circumstances, the world's deadly conflicts are ended not through outright victory, but through a series of negotiations. Not all of these negotiations, however, yield a durable peace. To successfully mitigate conflict drivers, the parties in conflict must address a number of puzzles, such as whether and how to share and/or re-establish a state's monopoly of force, reallocate the ownership and management of natural resources, modify the state structure, or provide for a path toward external self-determination. Successfully resolving these puzzles requires the parties to navigate a number of conundrums and make choices and design mechanisms that are appropriate to the particular context of the conflict, and which are most likely to lead to a durable peace. Lawyering Peace aims to help future negotiators build better and more durable peace agreements through a rigorous examination of how other parties have resolved these puzzles and associated conundrums.

This book is concerned with partial differential equations applied to fluids problems in science and engineering and is designed for two potential audiences. First, this book can function as a text for a course in mathematical methods in fluid mechanics in non-mathematics departments or in mathematics service courses. The authors have taught both. Second, this book is designed to help provide serious readers of journals (professionals, researchers, and graduate students) in analytical science and engineering with tools to explore and extend the missing steps in an analysis. The topics chosen for the book are those that the authors have found to be of considerable use in their own research careers. These topics are applicable in many areas, such as aeronautics and astronautics; biomechanics; chemical, civil, and mechanical engineering; fluid mechanics; and geophysical flows. Continuum ideas arise in other contexts, and the techniques included have applications there as well.

This book was first published in 1985. For those working in molecular biology, this book describes techniques in plant genetic research and the practical application of genetic engineering to important crop plants such as the potato. The various chapters detail methods used for the genetic modification of plants, including protoplast fusion and the use of Agrobacterium and viruses as vectors for plant genes. The types of agricultural and industrial processes that will be improved by these technologies are indicated throughout the book. The contributors to this volume have prepared a comprehensive and pertinent bibliography that is a key to the literature. Their scientific reports will enlighten advanced students, research workers and technicians in botany, biochemistry and biotechnology. All scientists in plant molecular biology, genetics, biochemistry and agriculture should find this book a valuable aid in their understanding of current techniques, principles and applications in plant

Classical dynamics is one of the cornerstones of advanced education in physics and applied mathematics, with applications across engineering, chemistry and biology. In this book, the author uses a concise and pedagogical style to cover all the topics necessary for a graduate-level course in dynamics based on Hamiltonian methods. Readers are introduced to the impressive advances in the field during the second half of the twentieth century, including KAM theory and deterministic chaos. Essential to these developments are some exciting ideas from modern mathematics, which are introduced carefully and selectively. Core concepts and techniques are discussed, together with numerous concrete examples to illustrate key principles. A special feature of the book is the use of computer software to investigate complex dynamical systems, both analytically and numerically. This text is ideal for graduate students and advanced undergraduates who are already familiar with the Newtonian and Lagrangian

Fortran is one of the oldest high-level languages and remains the premier language for writing code for science and engineering applications. This book is for anyone who uses Fortran, from the novice learner to the advanced expert. It describes best practices for programmers, scientists, engineers, computer scientists and researchers who want to apply good style and incorporate rigorous usage in their own Fortran code or to establish guidelines for a team project. The presentation concentrates primarily on the characteristics of Fortran 2003, while also describing methods in Fortran 90/95 and valuable new features in Fortran 2008. The authors draw on more than a half century of experience writing production Fortran code to present clear succinct guidelines on formatting, naming, documenting, programming and packaging conventions and various programming paradigms such as parallel processing (including OpenMP, MPI and coarrays), OOP, generic programming and C language interoperability.

This book is concerned with partial differential equations applied to fluids problems in science and engineering and is designed for two potential audiences. First, this book can function as a text for a course in mathematical methods in fluid mechanics in non-mathematics departments or in mathematics service courses. The authors have taught both. Second, this book is designed to help provide serious readers of journals (professionals, researchers, and graduate students) in analytical science and engineering with tools to explore and extend the missing steps in an analysis. The topics chosen for the book are those that the authors have found to be of considerable use in their own research careers. These topics are applicable in many areas, such as aeronautics and astronautics; biomechanics; chemical, civil, and mechanical engineering; fluid mechanics; and geophysical flows. Continuum ideas arise in other contexts, and the techniques included have applications there as well.

This book was first published in 1985. For those working in molecular biology, this book describes techniques in plant genetic research and the practical application of genetic engineering to important crop plants such as the potato. The various chapters detail methods used for the genetic modification of plants, including protoplast fusion and the use of Agrobacterium and viruses as vectors for plant genes. The types of agricultural and industrial processes that will be improved by these technologies are indicated throughout the book. The contributors to this volume have prepared a comprehensive and pertinent bibliography that is a key to the literature. Their scientific reports will enlighten advanced students, research workers and technicians in botany, biochemistry and biotechnology. All scientists in plant molecular biology, genetics, biochemistry and agriculture should find this book a valuable aid in their understanding of current techniques, principles and applications in plant

Because of their complexity, the new generation of genetically engineered protein drugs can only be made by biotechnological methods, using cultures of animal cells. This book covers all aspects of the technologies needed to turn animal cells into an acceptable and cost-effective tool for drug production. This includes modifying them genetically so that they produce the right product in high yield, getting them to grow reproducibly on an industrial scale, and extracting the required product from them. It also covers biological safety issues, and the verification of the chemical and biological nature of the protein drug produced. The work covers developments in all of these areas and how they all need to be integrated for the design of an effective biotechnological production process. It therefore provides a comprehensive guide to this area of biotechnology.

Because of their complexity, the new generation of genetically engineered protein drugs can only be made by biotechnological methods, using cultures of animal cells. This book covers all aspects of the technologies needed to turn animal cells into an acceptable and cost-effective tool for drug production. This includes modifying them genetically so that they produce the right product in high yield, getting them to grow reproducibly on an industrial scale, and extracting the required product from them. It also covers biological safety issues, and the verification of the chemical and biological nature of the protein drug produced. The work covers developments in all of these areas and how they all need to be integrated for the design of an effective biotechnological production process. It therefore provides a comprehensive guide to this area of biotechnology.

Originally published in 1971, this is the second of a three-volume commentary on Horace's literary epistles. The core of the book is a critical text of the Ars Poetica with a comprehensive and very detailed commentary on the wording, structure and content of the poem. The text is preceded by an account of the complicated manuscript tradition and previous work on the text. The commentary is followed by a literary discussion which aims at an understanding of the Ars Poetica as a Horatian poem. Professor Brink works out in detail the conclusions about the Ars Poetica which he advanced in his Proglomena. He takes up specific criticism which had been made of the earlier volume and reiterates his view that the supposed disorder in the poem is in itself part of a poetic design. The complete three-volume commentary constitutes one of the fullest on Horace's critical writing.

This timely volume provides a broad survey of (2+1)-dimensional quantum gravity. It emphasises the 'quantum cosmology' of closed universes and the quantum mechanics of the (2+1)-dimensional black hole. It compares and contrasts a variety of approaches, and examines what they imply for a realistic theory of quantum gravity. General relativity in three spacetime dimensions has become a popular arena in which to explore the ramifications of quantum gravity. As a diffeomorphism-invariant theory of spacetime structure, this model shares many of the conceptual problems of realistic quantum gravity. But it is also simple enough that many programs of quantization can be carried out explicitly. After analysing the space of classical solutions, this book introduces some fifteen approaches to quantum gravity - from canonical quantization in York's 'extrinsic time' to Chern-Simons quantization, from the loop representation to covariant path integration to lattice methods. Relationships among quant

For over three decades, the capability approach proposed and developed by Amartya Sen and Martha Nussbaum has had a distinct impact on development theories and approaches because it goes beyond an economic conception of development and engages with the normative aspects of development. This book explores the new frontiers of the capability approach and its links to human development in three main areas. First, it delves into the philosophical foundations of the approach, re-examining its links to concepts of common good, collective agency and epistemic diversity. Secondly, it addresses its 'operational frontier', aiming to give inclusive explanations of some of the most advanced methods available for capability researchers. Thirdly, it offers a wide range of the applications of this approach, as carried out by a mix of renowned capability scholars and researchers from different disciplines. This broad interdisciplinary range includes the areas of human and sustainable development, ineq

Through the fundamental work of Deligne and Lusztig in the 1970s, further developed mainly by Lusztig, the character theory of reductive groups over finite fields has grown into a rich and vast area of mathematics. It incorporates tools and methods from algebraic geometry, topology, combinatorics and computer algebra, and has since evolved substantially. With this book, the authors meet the need for a contemporary treatment, complementing in core areas the well-established books of Carter and Digne–Michel. Focusing on applications in finite group theory, the authors gather previously scattered results and allow the reader to get to grips with the large body of literature available on the subject, covering topics such as regular embeddings, the Jordan decomposition of characters, d-Harish–Chandra theory and Lusztig induction for unipotent characters. Requiring only a modest background in algebraic geometry, this useful reference is suitable for beginning graduate students as well as res

The Third Edition of this popular and engaging text consolidates the interdisciplinary streams of cognitive science to present a unified narrative of cognitive science as a discipline in its own right. It teaches students to apply the techniques and theories of the cognitive scientist's 'toolkit' - the vast range of methods and tools that cognitive scientists use to study the mind. Thematically organized, Cognitive Science underscores the problems and solutions of cognitive science rather than more narrowly examining individually the subjects that contribute to it - psychology, neuroscience, linguistics, and so on. The generous use of examples, illustrations, and applications demonstrates how theory is applied to unlock the mysteries of the human mind. Drawing upon cutting-edge research, the text has been substantially revised, with new material on Bayesian approaches to the mind and on deep learning. An extensive on-line set of resources is available to aid instructors and students al

The Third Edition of this popular and engaging text consolidates the interdisciplinary streams of cognitive science to present a unified narrative of cognitive science as a discipline in its own right. It teaches students to apply the techniques and theories of the cognitive scientist's 'toolkit' - the vast range of methods and tools that cognitive scientists use to study the mind. Thematically organized, Cognitive Science underscores the problems and solutions of cognitive science rather than more narrowly examining individually the subjects that contribute to it - psychology, neuroscience, linguistics, and so on. The generous use of examples, illustrations, and applications demonstrates how theory is applied to unlock the mysteries of the human mind. Drawing upon cutting-edge research, the text has been substantially revised, with new material on Bayesian approaches to the mind and on deep learning. An extensive on-line set of resources is available to aid instructors and students al

This practical book is designed for applied researchers who want to use mixed models with their data. It discusses the basic principles of mixed model analysis, including two-level and three-level structures, and covers continuous outcome variables, dichotomous outcome variables, and categorical and survival outcome variables. Emphasizing interpretation of results, the book develops the most important applications of mixed models, such as the study of group differences, longitudinal data analysis, multivariate mixed model analysis, IPD meta-analysis, and mixed model predictions. All examples are analyzed with STATA, and an extensive overview and comparison of alternative software packages is provided. All datasets used in the book are available for download, so readers can re-analyze the examples to gain a strong understanding of the methods. Although most examples are taken from epidemiological and clinical studies, this book is also highly recommended for researchers working in other

This practical book is designed for applied researchers who want to use mixed models with their data. It discusses the basic principles of mixed model analysis, including two-level and three-level structures, and covers continuous outcome variables, dichotomous outcome variables, and categorical and survival outcome variables. Emphasizing interpretation of results, the book develops the most important applications of mixed models, such as the study of group differences, longitudinal data analysis, multivariate mixed model analysis, IPD meta-analysis, and mixed model predictions. All examples are analyzed with STATA, and an extensive overview and comparison of alternative software packages is provided. All datasets used in the book are available for download, so readers can re-analyze the examples to gain a strong understanding of the methods. Although most examples are taken from epidemiological and clinical studies, this book is also highly recommended for researchers working in other

For over three decades, the capability approach proposed and developed by Amartya Sen and Martha Nussbaum has had a distinct impact on development theories and approaches because it goes beyond an economic conception of development and engages with the normative aspects of development. This book explores the new frontiers of the capability approach and its links to human development in three main areas. First, it delves into the philosophical foundations of the approach, re-examining its links to concepts of common good, collective agency and epistemic diversity. Secondly, it addresses its 'operational frontier', aiming to give inclusive explanations of some of the most advanced methods available for capability researchers. Thirdly, it offers a wide range of the applications of this approach, as carried out by a mix of renowned capability scholars and researchers from different disciplines. This broad interdisciplinary range includes the areas of human and sustainable development, ineq

Pigments act as tracers to elucidate the fate of phytoplankton in the world's oceans and are often associated with important biogeochemical cycles related to carbon dynamics in the oceans. They are increasingly used in in situ and remote-sensing applications, detecting algal biomass and major taxa through changes in water colour. This book is a follow-up to the 1997 volume Phytoplankton Pigments in Oceanography (UNESCO Press). Since then, there have been many advances concerning phytoplankton pigments. This book includes recent discoveries on several new algal classes particularly for the picoplankton, and on new pigments. It also includes many advances in methodologies, including liquid chromatography-mass spectrometry (LC-MS) and developments and updates on the mathematical methods used to exploit pigment information and extract the composition of phytoplankton communities. The book is invaluable primarily as a reference for students, researchers and professionals in aquatic science,

'What's going to happen next?' Time series data hold the answers, and Bayesian methods represent the cutting edge in learning what they have to say. This ambitious book is the first unified treatment of the emerging knowledge-base in Bayesian time series techniques. Exploiting the unifying framework of probabilistic graphical models, the book covers approximation schemes, both Monte Carlo and deterministic, and introduces switching, multi-object, non-parametric and agent-based models in a variety of application environments. It demonstrates that the basic framework supports the rapid creation of models tailored to specific applications and gives insight into the computational complexity of their implementation. The authors span traditional disciplines such as statistics and engineering and the more recently established areas of machine learning and pattern recognition. Readers with a basic understanding of applied probability, but no experience with time series analysis, are guided fro

In the context of this book, adaptation is taken to mean a feature of a system aimed at achieving the best possible performance, when mathematical models of the environment and the system itself are not fully available. This has applications ranging from theories of visual perception and the processing of information, to the more technical problems of friction compensation and adaptive classification of signals in fixed-weight recurrent neural networks. Largely devoted to the problems of adaptive regulation, tracking and identification, this book presents a unifying system-theoretic view on the problem of adaptation in dynamical systems. Special attention is given to systems with nonlinearly parameterized models of uncertainty. Concepts, methods and algorithms given in the text can be successfully employed in wider areas of science and technology. The detailed examples and background information make this book suitable for a wide range of researchers and graduates in cybernetics, mathe

The first edition of this well known book was noted for its clear and accessible exposition of the basic theory of Hardy spaces from the concrete point of view (in the unit circle and the half plane). The intention was to give the reader, assumed to know basic real and complex variable theory and a little functional analysis, a secure foothold in the basic theory, and to understand its applications in other areas. For this reason, emphasis is placed on methods and the ideas behind them rather than on the accumulation of as many results as possible. The second edition retains that intention, but the coverage has been extended. The author has included two appendices by V. P. Havin, on Peter Jones' interpolation formula, and Havin's own proof of the weak sequential completeness of L1/H1(0); in addition, numerous amendments, additions and corrections have been made throughout.

If you need to maximize efficiency in wireless network planning, an understanding of radio propagation issues is vital, and this 2007 reference guide is for you. Using real-world case studies, practical problems and minimum mathematics, the author explains simply and clearly how to predict signal strengths in a variety of situations. Fundamentals are explained in the context of their practical significance. Applications, including point-to-point radio links, broadcasting and earth-space communications, are thoroughly treated, and more sophisticated methods, which form the basis of software tools for both network planning and spectrum management, are also described. For a rapid understanding and insight into radio propagation, sufficient to enable you to undertake real-world engineering tasks, this concise book is invaluable for network planners, hardware designers, spectrum managers, senior technical managers and policy makers who are either new to radio propagation or who need a quick

The aim of this book is to develop the concepts and relations pertinent to the solution of many thermodynamic problems encountered in multi-phase, multi-component systems. In doing so, it emphasizes a comprehension and development of general expressions for solving such problems, rather than ready-made equations for particular applications. Throughout the book, the methods of Gibbs are used with emphasis on the chemical potential. Many topics omitted in more elementary texts are amply discussed defining the state of a thermodynamic system, particularly the indifferent systems; the use of the Gibbs-Duhem equation in single-phase and multi-phase component systems; the conditions of stability for single-phase and multi-phase component systems; and the graphical representation of the thermodynamic functions. Special attention is given to reference and standard states. The material is presented in a rigorous and mathematical manner, and SI units are used throughout. A detailed bibliography

The first edition of this well known book was noted for its clear and accessible exposition of the basic theory of Hardy spaces from the concrete point of view (in the unit circle and the half plane). The intention was to give the reader, assumed to know basic real and complex variable theory and a little functional analysis, a secure foothold in the basic theory, and to understand its applications in other areas. For this reason, emphasis is placed on methods and the ideas behind them rather than on the accumulation of as many results as possible. The second edition retains that intention, but the coverage has been extended. The author has included two appendices by V. P. Havin, on Peter Jones' interpolation formula, and Havin's own proof of the weak sequential completeness of L1/H1(0); in addition, numerous amendments, additions and corrections have been made throughout.

The aim of this book is to develop the concepts and relations pertinent to the solution of many thermodynamic problems encountered in multi-phase, multi-component systems. In doing so, it emphasizes a comprehension and development of general expressions for solving such problems, rather than ready-made equations for particular applications. Throughout the book, the methods of Gibbs are used with emphasis on the chemical potential. Many topics omitted in more elementary texts are amply discussed defining the state of a thermodynamic system, particularly the indifferent systems; the use of the Gibbs-Duhem equation in single-phase and multi-phase component systems; the conditions of stability for single-phase and multi-phase component systems; and the graphical representation of the thermodynamic functions. Special attention is given to reference and standard states. The material is presented in a rigorous and mathematical manner, and SI units are used throughout. A detailed bibliography

Focusing on deterministic models in discrete time, this concise yet rigorous textbook provides a clear and systematic introduction to the theory and application of dynamic economic models. It guides students through the most popular model structures and solution concepts, from the simplest dynamic economic models through to complex problems of optimal policy design in dynamic general equilibrium frameworks. Chapters feature theorems and practical hints, and seventy-five worked examples highlight the various methods and results that can be applied in dynamic economic models. Notation and formulation is uniform throughout, so students can easily discern the similarities and differences between various model classes. Chapters include more than sixty exercises for students to self-test their analytical skills, and password-protected solutions are available for instructors on the companion website. Assuming no prior knowledge of dynamic economic analysis or dynamic optimization, this textbo

This text provides a comprehensive introduction to the physical principles and design of particle detectors, covering all major detector types in use today. The book begins with a reprise of the size and energy scales involved in different physical processes. It then considers non-destructive methods, including the photoelectric effect, photomultipliers, scintillators, Cerenkov and transition radiation, scattering and ionisation and the use of magnetic fields in drift and wire chambers. A complete chapter is devoted to silicon detectors. In the final part of the book, the author discusses destructive measurement techniques including Thompson and Compton scattering, Bremsstrahlung and calorimetry. Throughout the book, emphasis is placed on explaining the physical principles on which detection is based, and showing, by considering appropriate examples, how those principles are best utilised in real detectors. This approach also reveals the limitations that are intrinsic to different devi

This text provides a comprehensive introduction to the physical principles and design of particle detectors, covering all major detector types in use today. The book begins with a reprise of the size and energy scales involved in different physical processes. It then considers non-destructive methods, including the photoelectric effect, photomultipliers, scintillators, Cerenkov and transition radiation, scattering and ionisation and the use of magnetic fields in drift and wire chambers. A complete chapter is devoted to silicon detectors. In the final part of the book, the author discusses destructive measurement techniques including Thompson and Compton scattering, Bremsstrahlung and calorimetry. Throughout the book, emphasis is placed on explaining the physical principles on which detection is based, and showing, by considering appropriate examples, how those principles are best utilised in real detectors. This approach also reveals the limitations that are intrinsic to different devi

This comprehensive summary of the state of the art and the ideas behind the reaction engineering approach (REA) to drying processes is an ideal resource for researchers, academics and industry practitioners. Starting with the formulation, modelling and applications of the lumped-REA, it goes on to detail the use of the REA to describe local evaporation and condensation, and its coupling with equations of conservation of heat and mass transfer, called the spatial-REA, to model non-equilibrium multiphase drying. Finally, it summarises other established drying models, discussing their features, limitations and comparisons with the REA. Application examples featured throughout help fine-tune the models and implement them for process design and the evaluation of existing drying processes and product quality during drying. Further uses of the principles of REA are demonstrated, including computational fluid dynamics-based modelling, and further expanded to model other simultaneous heat and m