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Monte Carlo Methods for Particle Transport

Monte Carlo Methods for Particle Transport

Fully updated with the latest developments in the eigenvalue Monte Carlo calculations and automatic variance reduction techniques and containing an entirely new chapter on fission matrix and alternative hybrid techniques. This second edition explores the uses of the Monte Carlo method for real-world applications explaining its concepts and limitations. Featuring illustrative examples mathematical derivations computer algorithms and homework problems it is an ideal textbook and practical guide for nuclear engineers and scientists looking into the applications of the Monte Carlo method in addition to students in physics and engineering and those engaged in the advancement of the Monte Carlo methods. Describes general and particle-transport-specific automated variance reduction techniques Presents Monte Carlo particle transport eigenvalue issues and methodologies to address these issues Presents detailed derivation of existing and advanced formulations and algorithms with real-world examples from the author’s research activities | Monte Carlo Methods for Particle Transport

GBP 48.99
1

Monte Carlo Methods and Models in Finance and Insurance

Monte Carlo Methods and Models in Finance and Insurance

Offering a unique balance between applications and calculations Monte Carlo Methods and Models in Finance and Insurance incorporates the application background of finance and insurance with the theory and applications of Monte Carlo methods. It presents recent methods and algorithms including the multilevel Monte Carlo method the statistical Romberg method and the Heath–Platen estimator as well as recent financial and actuarial models such as the Cheyette and dynamic mortality models. The authors separately discuss Monte Carlo techniques stochastic process basics and the theoretical background and intuition behind financial and actuarial mathematics before bringing the topics together to apply the Monte Carlo methods to areas of finance and insurance. This allows for the easy identification of standard Monte Carlo tools and for a detailed focus on the main principles of financial and insurance mathematics. The book describes high-level Monte Carlo methods for standard simulation and the simulation of stochastic processes with continuous and discontinuous paths. It also covers a wide selection of popular models in finance and insurance from Black–Scholes to stochastic volatility to interest rate to dynamic mortality. Through its many numerical and graphical illustrations and simple insightful examples this book provides a deep understanding of the scope of Monte Carlo methods and their use in various financial situations. The intuitive presentation encourages readers to implement and further develop the simulation methods.

GBP 42.99
1

Monte Carlo Simulation with Applications to Finance

Monte Carlo Simulation with Applications to Finance

Developed from the author’s course on Monte Carlo simulation at Brown University Monte Carlo Simulation with Applications to Finance provides a self-contained introduction to Monte Carlo methods in financial engineering. It is suitable for advanced undergraduate and graduate students taking a one-semester course or for practitioners in the financial industry. The author first presents the necessary mathematical tools for simulation arbitrary free option pricing and the basic implementation of Monte Carlo schemes. He then describes variance reduction techniques including control variates stratification conditioning importance sampling and cross-entropy. The text concludes with stochastic calculus and the simulation of diffusion processes. Only requiring some familiarity with probability and statistics the book keeps much of the mathematics at an informal level and avoids technical measure-theoretic jargon to provide a practical understanding of the basics. It includes a large number of examples as well as MATLAB® coding exercises that are designed in a progressive manner so that no prior experience with MATLAB is needed.

GBP 59.99
1

Monte-Carlo Simulation An Introduction for Engineers and Scientists

Monte-Carlo Simulation An Introduction for Engineers and Scientists

Monte-Carlo techniques have increasingly become a key method used in quantitative research. This book introduces engineers and scientists to the basics of using the Monte-Carlo simulation method which is used in Operations Research and other fields to understand the impact of risk and uncertainty in prediction and forecasting models. Monte-Carlo Simulation: An Introduction for Engineers and Scientists explores several specific applications in addition to illustrating the principles behind the methods. The question of accuracy and efficiency with using the method is addressed thoroughly within each chapter and all program listings are included in the discussion of each application to facilitate further research for the reader using Python programming language. Beginning engineers and scientists either already in or about to go into industry or commercial and government scientific laboratories will find this book essential. It could also be of interest to undergraduates in engineering science and mathematics as well as instructors and lecturers who have no prior knowledge of Monte-Carlo simulations. | Monte-Carlo Simulation An Introduction for Engineers and Scientists

GBP 82.99
1

Randomization Bootstrap and Monte Carlo Methods in Biology

Randomization Bootstrap and Monte Carlo Methods in Biology

Modern computer-intensive statistical methods play a key role in solving many problems across a wide range of scientific disciplines. Like its bestselling predecessors the fourth edition of Randomization Bootstrap and Monte Carlo Methods in Biology illustrates a large number of statistical methods with an emphasis on biological applications. The focus is now on the use of randomization bootstrapping and Monte Carlo methods in constructing confidence intervals and doing tests of significance. The text provides comprehensive coverage of computer-intensive applications with data sets available online. Features Presents an overview of computer-intensive statistical methods and applications in biology Covers a wide range of methods including bootstrap Monte Carlo ANOVA regression and Bayesian methods Makes it easy for biologists researchers and students to understand the methods used Provides information about computer programs and packages to implement calculations particularly using R code Includes a large number of real examples from a range of biological disciplines Written in an accessible style with minimal coverage of theoretical details this book provides an excellent introduction to computer-intensive statistical methods for biological researchers. It can be used as a course text for graduate students as well as a reference for researchers from a range of disciplines. The detailed worked examples of real applications will enable practitioners to apply the methods to their own biological data.

GBP 44.99
1

The Road to Antioch and Jerusalem The Crusader Pilgrimage of the Monte Cassino Chronicle

The Road to Antioch and Jerusalem The Crusader Pilgrimage of the Monte Cassino Chronicle

This is the first translation of the Hystoria de via or ‘Monte Cassino Chronicle ’ one of the few surviving crusader sources from Southern Italy where it was probably compiled (partly from known sources) between the 1130s and 1140s. The chronicle’s original sections offer new and fresh insight on the knowledge and reception of the First Crusade in Southern Italy and the devotional and pilgrimage practices which surrounded it. The introduction contextualises the chronicle in the environment which produced it discussing the historiographical tradition at Montecassino the likely sources for the Hystoria and its significance as an original source. The introduction also comments extensively on the theological framework of the Hystoria which offers an intensely religious view of the crusade as pilgrimage and insists particularly on the primacy of violence in its vision of Christian devotional practice and the crusade as continuous movement through suffering for the pilgrims. The translation which is both faithful to the text and highly readable is accompanied by detailed references and a full commentary. The volume makes an important addition to the canon of crusader sources and provides a little-known example for specialists of the literature of pilgrimage in the Middle Ages. | The Road to Antioch and Jerusalem The Crusader Pilgrimage of the Monte Cassino Chronicle

GBP 130.00
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Multiscale Modeling From Atoms to Devices

Multiscale Modeling From Atoms to Devices

While the relevant features and properties of nanosystems necessarily depend on nanoscopic details their performance resides in the macroscopic world. To rationally develop and accurately predict performance of these systems we must tackle problems where multiple length and time scales are coupled. Rather than forcing a single modeling approach to predict an event it was not designed for a new paradigm must be employed: multiscale modeling. A brilliant solution to a pervasive problem Multiscale Modeling: From Atoms to Devices offers a number of approaches for which more than one scale is explicitly considered. It provides several alternatives from coarse-graining sampling of the atomic and mesoscale to Monte Carlo- and thermodynamic-based models that allow sampling of increasingly large scales up to multiscale models able to describe entire devices. Beginning with common techniques for coarse-graining the book discusses their theoretical background advantages and limitations. It examines the application-dependent parameterization characteristics of coarse-graining along with the finer-trains-coarser multiscale approach and describes three carefully selected examples in which the parameterization although based on the same principles depends on the actual application. The book considers the use of ab initio and density functional theory to obtain parameters needed for larger scale models the alternative use of density functional theory parameters in a Monte Carlo method and the use of ab initio and density functional theory as the atomistic technique underlying the calculation of thermodynamics properties of alloy phase stability. Highlighting one of the most challenging tasks for multiscale modelers Multiscale Modeling: From Atoms to Devices also presents modeling for nanocomposite materials using the embedded fiber finite element method (EFFEM). It emphasizes an ensemble Monte Carlo method to high field-charge transport problems and demonstrates the practical application of modern many-body quantum theories. The author maintains a website with additional information. | Multiscale Modeling From Atoms to Devices

GBP 69.99
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Statistical Computing with R Second Edition

Statistical Computing with R Second Edition

Praise for the First Edition: . the book serves as an excellent tutorial on the R language providing examples that illustrate programming concepts in the context of practical computational problems. The book will be of great interest for all specialists working on computational statistics and Monte Carlo methods for modeling and simulation. – Tzvetan Semerdjiev Zentralblatt Math Computational statistics and statistical computing are two areas within statistics that may be broadly described as computational graphical and numerical approaches to solving statistical problems. Like its bestselling predecessor Statistical Computing with R Second Edition covers the traditional core material of these areas with an emphasis on using the R language via an examples-based approach. The new edition is up-to-date with the many advances that have been made in recent years. Features Provides an overview of computational statistics and an introduction to the R computing environment. Focuses on implementation rather than theory. Explores key topics in statistical computing including Monte Carlo methods in inference bootstrap and jackknife permutation tests Markov chain Monte Carlo (MCMC) methods and density estimation. Includes new sections exercises and applications as well as new chapters on resampling methods and programming topics. Includes coverage of recent advances including R Studio the tidyverse knitr and ggplot2 Accompanied by online supplements available on GitHub including R code for all the exercises as well as tutorials and extended examples on selected topics. Suitable for an introductory course in computational statistics or for self-study Statistical Computing with R Second Edition provides a balanced accessible introduction to computational statistics and statistical computing. About the Author Maria Rizzo is Professor in the Department of Mathematics and Statistics at Bowling Green State University in Bowling Green Ohio where she teaches statistics actuarial science computational statistics statistical programming and data science. Prior to joining the faculty at BGSU in 2006 she was Assistant Professor in the Department of Mathematics at Ohio University in Athens Ohio. Her main research area is energy statistics and distance correlation. She is the software developer and maintainer of the energy package for R. She also enjoys writing books including a forthcoming joint research monograph on energy statistics.

GBP 66.99
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Bayesian Statistics for the Social Sciences Second Edition

Bayesian Statistics for the Social Sciences Second Edition

The second edition of this practical book equips social science researchers to apply the latest Bayesian methodologies to their data analysis problems. It includes new chapters on model uncertainty Bayesian variable selection and sparsity and Bayesian workflow for statistical modeling. Clearly explaining frequentist and epistemic probability and prior distributions the second edition emphasizes use of the open-source RStan software package. The text covers Hamiltonian Monte Carlo Bayesian linear regression and generalized linear models model evaluation and comparison multilevel modeling models for continuous and categorical latent variables missing data and more. Concepts are fully illustrated with worked-through examples from large-scale educational and social science databases such as the Program for International Student Assessment and the Early Childhood Longitudinal Study. Annotated RStan code appears in screened boxes; the companion website (www. guilford. com/kaplan-materials) provides data sets and code for the book's examples. New to This Edition *Utilizes the R interface to Stan-faster and more stable than previously available Bayesian software-for most of the applications discussed. *Coverage of Hamiltonian MC; Cromwell’s rule; Jeffreys' prior; the LKJ prior for correlation matrices; model evaluation and model comparison with a critique of the Bayesian information criterion; variational Bayes as an alternative to Markov chain Monte Carlo (MCMC) sampling; and other new topics. *Chapters on Bayesian variable selection and sparsity model uncertainty and model averaging and Bayesian workflow for statistical modeling. | Bayesian Statistics for the Social Sciences Second Edition

GBP 57.99
1

Uncertainty Analysis in Rainfall-Runoff Modelling - Application of Machine Learning Techniques UNESCO-IHE PhD Thesis

Uncertainty Analysis in Rainfall-Runoff Modelling - Application of Machine Learning Techniques UNESCO-IHE PhD Thesis

This book describes the use of machine learning techniques to build predictive models of uncertainty with application to hydrological models focusing mainly on the development and testing of two different models. The first focuses on parameter uncertainty analysis by emulating the results of Monte Carlo simulation of hydrological models using efficient machine learning techniques. The second method aims at modelling uncertainty by building an ensemble of specialized machine learning models on the basis of past hydrological model‘s performance. The book then demonstrates the capacity of machine learning techniques for building accurate and efficient predictive models of uncertainty. | Uncertainty Analysis in Rainfall-Runoff Modelling - Application of Machine Learning Techniques UNESCO-IHE PhD Thesis

GBP 175.00
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Time Series Modeling Computation and Inference Second Edition

Time Series Modeling Computation and Inference Second Edition

Focusing on Bayesian approaches and computations using analytic and simulation-based methods for inference Time Series: Modeling Computation and Inference Second Edition integrates mainstream approaches for time series modeling with significant recent developments in methodology and applications of time series analysis. It encompasses a graduate-level account of Bayesian time series modeling analysis and forecasting a broad range of references to state-of-the-art approaches to univariate and multivariate time series analysis and contacts research frontiers in multivariate time series modeling and forecasting. It presents overviews of several classes of models and related methodology for inference statistical computation for model fitting and assessment and forecasting. It explores the connections between time- and frequency-domain approaches and develop various models and analyses using Bayesian formulations and computation including use of computations based on Markov chain Monte Carlo (MCMC) and sequential Monte Carlo (SMC) methods. It illustrates the models and methods with examples and case studies from a variety of fields including signal processing biomedicine environmental science and finance. Along with core models and methods the book represents state-of-the art approaches to analysis and forecasting in challenging time series problems. It also demonstrates the growth of time series analysis into new application areas in recent years and contacts recent and relevant modeling developments and research challenges. New in the second edition: Expanded on aspects of core model theory and methodology. Multiple new examples and exercises. Detailed development of dynamic factor models. Updated discussion and connections with recent and current research frontiers. | Time Series Modeling Computation and Inference Second Edition

GBP 44.99
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Statistical Simulation Power Method Polynomials and Other Transformations

Statistical Simulation Power Method Polynomials and Other Transformations

Although power method polynomials based on the standard normal distributions have been used in many different contexts for the past 30 years it was not until recently that the probability density function (pdf) and cumulative distribution function (cdf) were derived and made available. Focusing on both univariate and multivariate nonnormal data generation Statistical Simulation: Power Method Polynomials and Other Transformations presents techniques for conducting a Monte Carlo simulation study. It shows how to use power method polynomials for simulating univariate and multivariate nonnormal distributions with specified cumulants and correlation matrices. The book first explores the methodology underlying the power method before demonstrating this method through examples of standard normal logistic and uniform power method pdfs. It also discusses methods for improving the performance of a simulation based on power method polynomials. The book then develops simulation procedures for systems of linear statistical models intraclass correlation coefficients and correlated continuous variates and ranks. Numerical examples and results from Monte Carlo simulations illustrate these procedures. The final chapter describes how the g-and-h and generalized lambda distribution (GLD) transformations are special applications of the more general multivariate nonnormal data generation approach. Throughout the text the author employs Mathematica® in a range of procedures and offers the source code for download online. Written by a longtime researcher of the power method this book explains how to simulate nonnormal distributions via easy-to-use power method polynomials. By using the methodology and techniques developed in the text readers can evaluate different transformations in terms of comparing percentiles measures of central tendency goodness-of-fit tests and more. | Statistical Simulation Power Method Polynomials and Other Transformations

GBP 64.99
1

Thermal Radiation Heat Transfer

Thermal Radiation Heat Transfer

The seventh edition of this classic text outlines the fundamental physical principles of thermal radiation as well as analytical and numerical techniques for quantifying radiative transfer between surfaces and within participating media. The textbook includes newly expanded sections on surface properties electromagnetic theory scattering and absorption of particles and near-field radiative transfer and emphasizes the broader connections to thermodynamic principles. Sections on inverse analysis and Monte Carlo methods have been enhanced and updated to reflect current research developments along with new material on manufacturing renewable energy climate change building energy efficiency and biomedical applications. Features: Offers full treatment of radiative transfer and radiation exchange in enclosures. Covers properties of surfaces and gaseous media and radiative transfer equation development and solutions. Includes expanded coverage of inverse methods electromagnetic theory Monte Carlo methods and scattering and absorption by particles. Features expanded coverage of near-field radiative transfer theory and applications. Discusses electromagnetic wave theory and how it is applied to thermal radiation transfer. This textbook is ideal for Professors and students involved in first-year or advanced graduate courses/modules in Radiative Heat Transfer in engineering programs. In addition professional engineers scientists and researchers working in heat transfer energy engineering aerospace and nuclear technology will find this an invaluable professional resource. Over 350 surface configuration factors are available online many with online calculation capability. Online appendices provide information on related areas such as combustion radiation in porous media numerical methods and biographies of important figures in the history of the field. A Solutions Manual is available for instructors adopting the text. | Thermal Radiation Heat Transfer

GBP 125.00
1

World War II A Global History

World War II A Global History

Fully revised and restructured the sixth edition of World War II: A Global History offers students a concise and yet thorough textbook that examines history’s bloodiest conflict. The chapters alternate between chronological chapters on Europe and Asia-Pacific and thematic chapters on innovations home fronts brutal regimes and logistics. This textbook includes the following features: A lively narrative of facts events people and ideas that incorporates thoughtful analysis New material and restructured content on global factors that affected the causes conduct and consequences of World War II Balanced pace that does not bog readers down in too many details yet gives them sufficient depth and breadth for context Chapters sections and sidebars arranged in ways that can complement lectures and assignments Fifty new photographs that illustrate the human condition and weaponry during World War II. Global in focus by blending both geographic and thematic chapters to ensure readers gain a comprehensive understanding of impact of the war worldwide this is the perfect volume for all students of the biggest global conflict of the twentieth century. | World War II A Global History

GBP 115.00
1

Smart Mini-Cameras

Smart Mini-Cameras

Achieve the Best Camera Design: Up-to-Date Information on MCMsMiniature camera modules (MCMs) such as webcams have rapidly become ubiquitous in our day-to-day devices from mobile phones to interactive TV systems. MCMs—or smart cameras—can zoom adjust their frame rate automatically with illumination change focus at different distances compensate for hand shake and transform captured images. With contributions from academics and field engineers Smart Mini-Cameras discusses the structure operation principles applications and future trends of miniature mobile cameras. It compares this technology with traditional digital still cameras and explains the specific requirements of MCM components (imposed by the size or type of application) in terms of optical design image sensor and functionalities. The book describes the implementation of several active functionalities including liquid crystal auto focus (AF) and optical image stabilization (OIS). It also explores how new technologies such as the curved detector and transforming optics are stimulating novel trends including a miniature panoramic lens on mobile phones. By providing you with an understanding of the components and performance tradeoffs of MCMs this book will help you achieve the best camera design. It also answers frequently asked questions such as the importance of the number of megapixels in a mobile phone camera and the value of AF and OIS features.

GBP 44.99
1

Integrated Earthquake Simulation

Integrated Earthquake Simulation

Integrated earthquake simulation (IES) is a new method for evaluating earthquake hazards and disasters induced in cities and urban areas. It utilises a sequence of numerical simulations of such aspects as earthquake wave propagation ground motion amplification structural seismic response and mass evacuation. This book covers the basics of numerical analysis methods of solving wave equations analyzing structural responses and developing agent models for mass evaluation which are implemented in IES. IES makes use of Monte-Carlo simulation which takes account of the effects of uncertainties related to earthquake scenarios and the modeling of structures both above and below ground and facilitates a better estimate of overall earthquake and disaster hazard. It also presents the recent achievement of enhancing IES with high-performance computing capability that can make use of automated models which employ various numerical analysis methods. Detailed examples of IES for the Tokyo Metropolis Earthquake and the Nankai Trough Earthquake are given which use large scale analysis models of actual cities and urban areas.

GBP 105.00
1

Physics of Magnetic Thin Films Theory and Simulation

Physics of Magnetic Thin Films Theory and Simulation

This book is for graduate students and researchers who wish to understand theoretical mechanisms lying behind macroscopic properties of magnetic thin films. It provides a detailed description of basic theoretical methods and techniques of simulation to help readers in their research projects. The first part of the book contains 6 chapters. Chapters 1 to 5 focus on the fundamental theory of bulk magnetic materials. Chapter 6 is devoted to the presentation of the Monte Carlo simulation methods. Exercises and problems are provided at the end of each of these chapters for self-training. The second part contains 11 chapters devoted to the main topic of the book namely “physics of magnetic thin films: theory and simulation. ” Written as a research paper each chapter focuses on a subject and also presents the state-of-the-art literature on the subject and the motivation of the chapter. A detailed description of the techniques and the presentation of the results are then shown with discussion. | Physics of Magnetic Thin Films Theory and Simulation

GBP 116.00
1

Applied Stochastic Modelling

Applied Stochastic Modelling

Highlighting modern computational methods Applied Stochastic Modelling Second Edition provides students with the practical experience of scientific computing in applied statistics through a range of interesting real-world applications. It also successfully revises standard probability and statistical theory. Along with an updated bibliography and improved figures this edition offers numerous updates throughout. New to the Second Edition An extended discussion on Bayesian methods A large number of new exercises A new appendix on computational methods The book covers both contemporary and classical aspects of statistics including survival analysis Kernel density estimation Markov chain Monte Carlo hypothesis testing regression bootstrap and generalised linear models. Although the book can be used without reference to computational programs the author provides the option of using powerful computational tools for stochastic modelling. All of the data sets and MATLAB and R programs found in the text as well as lecture slides and other ancillary material are available for download at www. crcpress. com Continuing in the bestselling tradition of its predecessor this textbook remains an excellent resource for teaching students how to fit stochastic models to data.

GBP 175.00
1

Interaction of Radiation with Matter

Interaction of Radiation with Matter

Interaction of Radiation with Matter focuses on the physics of the interactions of ionizing radiation in living matter and the Monte Carlo simulation of radiation tracks. Clearly progressing from an elementary level to the state of the art the text explores the classical physics of track description as well as modern aspects based on condensed matter physics. The first section of the book discusses the fundamentals of the radiation field. In the second section the authors describe the cross sections for electrons and heavy ions—the most important information needed for simulating radiation track at the molecular level. The third section details the inelastic scattering and energy loss of charged particles in condensed media particularly liquid water. The final section contains a large number of questions and problems to reinforce learning. Designed for radiation interaction courses this textbook is the ideal platform for teaching students in medical/health physics and nuclear engineering. It gives students a solid grounding in the physical understanding of radiation track structure in living matter enabling them to pursue further work in radiological physics and radiation dosimetry.

GBP 46.99
1

A History of Siena From its Origins to the Present Day

A History of Siena From its Origins to the Present Day

A History of Siena provides a concise and up-to-date biography of the city from its ancient and medieval development up to the present day and makes Siena’s history culture and traditions accessible to anyone studying or visiting the city. Well informed by archival research and recent scholarship on medieval Siena and the Italian city-states this book places Siena’s development in its larger context both temporally and geographically. In the process this book offers new interpretations of Siena’s artistic political and economic development highlighting in particular the role of pilgrimage banking and class conflict. The second half of the book provides an important analysis of the historical development of Siena’s nobility its unique system of neighborhood associations (contrade) and the race of the Palio as well as an overview of the rise and fall of Siena’s troubled bank the Monte dei Paschi. This book is accessible to undergraduates and tourists while also offering plenty of new insights for graduate students and scholars of all periods of Sienese history. | A History of Siena From its Origins to the Present Day

GBP 36.99
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Contemporary Issues in Quantitative Finance

Contemporary Issues in Quantitative Finance

Contemporary quantitative finance connects the abstract theory and the practical use of financial innovations such as ultra-high-frequency trading and cryptocurrencies. It teaches students how to use cutting-edge computational techniques mathematical tools and statistical methodologies with a focus on real-life applications. The textbook opens with chapters on financial markets global finance and financial crises setting the subject in its historical and international context. It then examines key topics in modern quantitative finance including asset pricing exchange-traded funds Monte Carlo simulations options alternative investments artificial intelligence and big data analytics in finance. Complex theory is condensed to intuition with appendices presenting advanced mathematical or statistical techniques. Each chapter offers Excel-based implementations conceptual questions quantitative problems and a research project giving students ample opportunity to develop their skills. Clear chapter objectives summaries and key terms also support student learning. Digital supplements including code and PowerPoint slides are available for instructors. Assuming some prior financial education this textbook is suited to upper-level undergraduate and postgraduate courses in quantitative finance financial engineering and derivatives. | Contemporary Issues in Quantitative Finance

GBP 49.99
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Striking Images Iconoclasms Past and Present

Striking Images Iconoclasms Past and Present

All cultures make and break images. Striking Images Iconoclasms Past and Present explores how and why people have made and modified images and other cultural material from pre-history into the 21st century. With its impressive chronological sweep and disciplinary breadth this is the first book about iconoclasm (the breaking of images) and the transformation of broader sets of signs that includes contributions from archaeologists curators and museum conservators as well as historians of art literature and religious studies. The chapters examine themes critical to the study of iconoclasm: violence punishment memory intentionality ruins and relics and their survival. The conclusion shows how cross-disciplinary debate amongst the contributors informed Tate Britain’s 'Art under Attack' exhibition (2013) and addresses the challenges iconoclasm presents to the modern museum. By juxtaposing objects and places usually considered in isolation Striking Images raises provocative questions about our understandings of cross-cultural differences and the value of representational objects from the broken swords of pre-historical bog graves to the Bamiyan Buddhas and contemporary art. Are any such objects ever ’finished’ or are they simply subject to constant transformation? In dialogue with each other the essays consider this question and expand the field of iconoclasm - and cultural - studies.

GBP 42.99
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Analysis of Incomplete Multivariate Data

Analysis of Incomplete Multivariate Data

The last two decades have seen enormous developments in statistical methods for incomplete data. The EM algorithm and its extensions multiple imputation and Markov Chain Monte Carlo provide a set of flexible and reliable tools from inference in large classes of missing-data problems. Yet in practical terms those developments have had surprisingly little impact on the way most data analysts handle missing values on a routine basis. Analysis of Incomplete Multivariate Data helps bridge the gap between theory and practice making these missing-data tools accessible to a broad audience. It presents a unified Bayesian approach to the analysis of incomplete multivariate data covering datasets in which the variables are continuous categorical or both. The focus is applied where necessary to help readers thoroughly understand the statistical properties of those methods and the behavior of the accompanying algorithms. All techniques are illustrated with real data examples with extended discussion and practical advice. All of the algorithms described in this book have been implemented by the author for general use in the statistical languages S and S Plus. The software is available free of charge on the Internet.

GBP 42.99
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Reliability of Structures

Reliability of Structures

Reliability of Structures enables both students and practising engineers to appreciate how to value and handle reliability as an important dimension of structural design. It discusses the concepts of limit states and limit state functions and presents methodologies for calculating reliability indices and calibrating partial safety factors. It also supplies information on the probability distributions and parameters used to characterize both applied loads and member resistances. This revised and extended second edition contains more discussions of US and international codes and the issues underlying their development. There is significant revision and expansion of the discussion on Monte Carlo simulation along with more examples. The book serves as a textbook for a one-semester course for advanced undergraduates or graduate students or as a reference and guide to consulting structural engineers. Its emphasis is on the practical applications of structural reliability theory rather than the theory itself. Consequently probability theory is treated as a tool and enough is given to show the novice reader how to calculate reliability. Some background in structural engineering and structural mechanics is assumed. A solutions manual is available upon qualifying course adoption.

GBP 44.99
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Foundations of Nanotechnology Volume Three Mechanics of Carbon Nanotubes

Foundations of Nanotechnology Volume Three Mechanics of Carbon Nanotubes

In this research notes book the modelling of mechanical properties of CNT/polymer nanocomposites is presented. The book begins with the structural and intrinsic mechanical properties of CNTs and then introduces computational methods that have been applied to polymer nanocomposites covering from molecular scale (molecular dynamics Monte Carlo) microscale (Brownian dynamics dissipative particle dynamics lattice Boltzmann time-dependent Ginzburg–Landau method dynamic density functional theory method) to mesoscale and macroscale (micromechanics equivalent-continuum and self-similar approaches finite element method). Knowledge of the nature and mechanics of the length and orientation of nanotubes and load transfer between nanotubes and polymers is critical for the manufacturing of enhanced carbon nanotube polymer composites. It also enables the tailoring of the interface for specific applications or superior mechanical properties. This book discusses the state of these parameters in mechanics of carbon nanotube polymer composites and presents some directions for future research in this field. The book’s aim is to enhance current knowledge in this area to support researchers in carbon nanotubes and help them choose the appropriate modelling tool for accomplishing their research. | Foundations of Nanotechnology Volume Three Mechanics of Carbon Nanotubes

GBP 82.99
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