Internet of things programming with JavaScript

This book is an in-depth exploration of ENVY/Developer, IBM's team programming environment for Smalltalk and Java. Written by well-known experts in the area, it presents both introductory and advanced topics with detailed examples. The first two parts of the book introduce the basics that a developer or development manager must know in order to use ENVY in a project setting, including the development process and the organization of applications. The third part covers advanced programming and customization, including detailed information on administering, troubleshooting, and extending the tools. This book covers VisualAge for Smalltalk, VisualWorks, and VisualAge Generator in detail. In addition, the concepts and management presented within the book apply to VisualAge for Java. Code examples, tools, and add-ons, are available on the supporting Web site.

The internet has altered how people engage with each other in myriad ways, including offering opportunities for people to act distrustfully. This fascinating set of essays explores the question of trust in computing from technical, socio-philosophical, and design perspectives. Why has the identity of the human user been taken for granted in the design of the internet? What difficulties ensue when it is understood that security systems can never be perfect? What role does trust have in society in general? How is trust to be understood when trying to describe activities as part of a user requirement program? What questions of trust arise in a time when data analytics are meant to offer new insights into user behavior and when users are confronted with different sorts of digital entities? These questions and their answers are of paramount interest to computer scientists, sociologists, philosophers and designers confronting the problem of trust.

Optimal Reliability Design, first published in 2000, provides a detailed introduction to systems reliability and reliability optimization. Techniques for maximizing system reliability are described, focusing on component reliability enhancement and redundancy arrangement. The authors present several case studies and show how optimization techniques are applied in practice. They also pay particular attention to finding methods that give the optimal trade-off between reliability and cost. The book begins with a review of key background material, and a discussion of a range of optimization models. The authors go on to cover optimization tools, such as heuristics, discrete optimization, nonlinear programming, mixed integer programming, optimal arrangement, and metaheuristic algorithms. They also describe the computational implementation of these tools. Many numerical examples are included, and the book contains over 180 homework exercises. It is suitable as a textbook for graduate-level co

Optimal Reliability Design, first published in 2000, provides a detailed introduction to systems reliability and reliability optimization. Techniques for maximizing system reliability are described, focusing on component reliability enhancement and redundancy arrangement. The authors present several case studies and show how optimization techniques are applied in practice. They also pay particular attention to finding methods that give the optimal trade-off between reliability and cost. The book begins with a review of key background material, and a discussion of a range of optimization models. The authors go on to cover optimization tools, such as heuristics, discrete optimization, nonlinear programming, mixed integer programming, optimal arrangement, and metaheuristic algorithms. They also describe the computational implementation of these tools. Many numerical examples are included, and the book contains over 180 homework exercises. It is suitable as a textbook for graduate-level co

A comprehensive, self-contained survey of the theory and applications of differential games, one of the most commonly used tools for modelling and analysing economics and management problems which are characterised by both multiperiod and strategic decision making. Although no prior knowledge of game theory is required, a basic knowledge of linear algebra, ordinary differential equations, mathematical programming and probability theory is necessary. Part One presents the theory of differential games, starting with the basic concepts of game theory and going on to cover control theoretic models, Markovian equilibria with simultaneous play, differential games with hierarchical play, trigger strategy equilibria, differential games with special structures, and stochastic differential games. Part Two offers applications to capital accumulation games, industrial organization and oligopoly games, marketing, resources and environmental economics.

Thoroughly updated with improved pedagogy, the fifth edition of this classic textbook continues to provide students with a clear and comprehensive introduction the fundamentals of the finite element method. New features include enhanced coverage of introductory topics in the context of simple 1D problems, providing students with a solid base from which to advance to 2D and 3D problems; expanded coverage of more advanced concepts, to reinforce students' understanding; over 30 additional solved problems; and downloadable MATLAB, Python, C, Javascript, Fortran and Excel VBA code packages, providing students with hands-on experience, and preparing them for commercial software. Accompanied by online solutions for instructors, this is the definitive text for senior undergraduate and graduate students studying a first course in the finite element method and finite element analysis, and for professional engineers keen to shore up their understanding of finite element fundamentals.

The starting point of this book is Sperner's theorem, which answers the question: What is the maximum possible size of a family of pairwise (with respect to inclusion) subsets of a finite set? This theorem stimulated the development of a fast growing theory dealing with external problems on finite sets and, more generally, on finite partially ordered sets. This book presents Sperner theory from a unified point of view, bringing combinatorial techniques together with methods from programming, linear algebra, Lie-algebra representations and eigenvalue methods, probability theory, and enumerative combinatorics. Researchers and graduate students in discrete mathematics, optimisation, algebra, probability theory, number theory, and geometry will find many powerful new methods arising from Sperner theory.

This textbook on the basics of option pricing is accessible to readers with limited mathematical training. It is for both professional traders and undergraduates studying the basics of finance. Assuming no prior knowledge of probability, Sheldon M. Ross offers clear, simple explanations of arbitrage, the Black-Scholes option pricing formula, and other topics such as utility functions, optimal portfolio selections, and the capital assets pricing model. Among the many new features of this third edition are new chapters on Brownian motion and geometric Brownian motion, stochastic order relations and stochastic dynamic programming, along with expanded sets of exercises and references for all the chapters.

Increasingly, conscientious consumers and green marketers are recognizing that material things, not firms, must be made responsible. Even so, many scholars in ethics, sustainability, and governance focus on people and organizations, ignoring the flows of things. In this book, Ryan Burg argues that material things are fundamental features of moral life, serving as both valuable instruments and guides for responsibility. Unless care is taken for these non-living entities, living things cannot be protected. Viewing the global economy as a network of material transfers, Burg argues that to facilitate object care, professionals must act as stewards. By tracing the origins and disposal of workplace objects through this material network, businesses and employees can discover the outcomes for which they are responsible, and managers can align ethics, sustainability and governance with a truly global formulation of responsibility.

Increasingly, conscientious consumers and green marketers are recognizing that material things, not firms, must be made responsible. Even so, many scholars in ethics, sustainability, and governance focus on people and organizations, ignoring the flows of things. In this book, Ryan Burg argues that material things are fundamental features of moral life, serving as both valuable instruments and guides for responsibility. Unless care is taken for these non-living entities, living things cannot be protected. Viewing the global economy as a network of material transfers, Burg argues that to facilitate object care, professionals must act as stewards. By tracing the origins and disposal of workplace objects through this material network, businesses and employees can discover the outcomes for which they are responsible, and managers can align ethics, sustainability and governance with a truly global formulation of responsibility.

A comprehensive guide to digital entrepreneurship, bridging academic research and industry practice. Morabito provides a strategic overview of the main challenges and trends related to digital entrepreneurship, structured in three parts. Part I focuses on strategy and management issues, guiding readers through the theory and practice of building, implementing and growing new digital ventures and outlining the skills that are necessary for digital entrepreneurs to succeed and lead. Part II focuses on digital business systems, describing the main technological aspects that support and comprise the core infrastructure for digital entrepreneurship, including social media and the Internet of Things. Finally, Part III provides analyses of three core industries in which digital ventures are particularly important: fintech, manufacturing and fashion. Digital Entrepreneurship will appeal to students and researchers in the areas of digital strategy/innovation and information systems management.

A comprehensive guide to digital entrepreneurship, bridging academic research and industry practice. Morabito provides a strategic overview of the main challenges and trends related to digital entrepreneurship, structured in three parts. Part I focuses on strategy and management issues, guiding readers through the theory and practice of building, implementing and growing new digital ventures and outlining the skills that are necessary for digital entrepreneurs to succeed and lead. Part II focuses on digital business systems, describing the main technological aspects that support and comprise the core infrastructure for digital entrepreneurship, including social media and the Internet of Things. Finally, Part III provides analyses of three core industries in which digital ventures are particularly important: fintech, manufacturing and fashion. Digital Entrepreneurship will appeal to students and researchers in the areas of digital strategy/innovation and information systems management.

Deep brain stimulation (DBS) is now a firmly established treatment for movement disorders, and an increasing body of evidence supports DBS in the treatment of other neurological and psychiatric disorders. This essential reference guide outlines a practical approach to the use of this paradigm-shifting therapy and covers key aspects of DBS practice. Chapters describe how to implement a DBS program and select appropriate patients, device programming to achieve optimal symptom control, and long-term management of patients. Thoroughly revised, this third edition includes additional chapters on managing patients with emerging applications of DBS. An entire chapter is dedicated to troubleshooting common problems with the therapy as many 'failures' are preventable and addressable. With contributions from experts in the field, this is a must-have reference guide for any clinician working with DBS patients.

SAS programming is a creative and iterative process designed to empower you to make the most of your organization's data. This friendly guide provides you with a repertoire of essential SAS tools for data management, whether you are a new or an infrequent user. Most useful to students and programmers with little or no SAS experience, it takes a no-frills, hands-on tutorial approach to getting started with the software. You will find immediate guidance in navigating, exploring, visualizing, cleaning, formatting, and reporting on data using SAS and JMP. Step-by-step demonstrations, screenshots, handy tips, and practical exercises with solutions equip you to explore, interpret, process and summarize data independently, efficiently and effectively.

SAS programming is a creative and iterative process designed to empower you to make the most of your organization's data. This friendly guide provides you with a repertoire of essential SAS tools for data management, whether you are a new or an infrequent user. Most useful to students and programmers with little or no SAS experience, it takes a no-frills, hands-on tutorial approach to getting started with the software. You will find immediate guidance in navigating, exploring, visualizing, cleaning, formatting, and reporting on data using SAS and JMP. Step-by-step demonstrations, screenshots, handy tips, and practical exercises with solutions equip you to explore, interpret, process and summarize data independently, efficiently and effectively.

Around the world, adolescents use technology for education, to further their identity and socio-emotional development, to access health information, engage in civic activities, and for entertainment. For many, technological advances, especially social media, have drastically influenced how they communicate with family, friends, and romantic partners. Challenges of technology use include the digital divide, internet addiction, and exposure to cyberbullying. The diversity of adolescents' cultural context results in heterogeneous bidirectional influences of technology and teenagers with respect to education and close relationships. Researchers, parents, and policy makers must consider the role of culture in the complex interactions of teenagers with technology.

Using real-life applications, this graduate-level textbook introduces different mathematical methods of scientific computation to solve minimization problems using examples ranging from locating an aircraft, finding the best time to replace a computer, analyzing developments on the stock market, and constructing phylogenetic trees. The textbook focuses on several methods, including nonlinear least squares with confidence analysis, singular value decomposition, best basis, dynamic programming, linear programming, and various optimization procedures. Each chapter solves several realistic problems, introducing the modelling optimization techniques and simulation as required. This allows readers to see how the methods are put to use, making it easier to grasp the basic ideas. There are also worked examples, practical notes, and background materials to help the reader understand the topics covered. Interactive exercises are available at www.cambridge.org/9780521849890.

This book provides an integrated treatment of the theory of nonnegative matrices (matrices with only positive numbers or zero as entries) and some related classes of positive matrices, concentrating on connections with game theory, combinatorics, inequalities, optimisation and mathematical economics. The wide variety of applications, which include price fixing, scheduling and the fair division problem, have been carefully chosen both for their elegant mathematical content and for their accessibility to students with minimal preparation. Many results in matrix theory are also presented. The treatment is rigorous and almost all results are proved completely. These results and applications will be of great interest to researchers in linear programming, statistics and operations research. The minimal prerequisites also make the book accessible to first-year graduate students.

This book provides an integrated treatment of the theory of nonnegative matrices (matrices with only positive numbers or zero as entries) and some related classes of positive matrices, concentrating on connections with game theory, combinatorics, inequalities, optimisation and mathematical economics. The wide variety of applications, which include price fixing, scheduling and the fair division problem, have been carefully chosen both for their elegant mathematical content and for their accessibility to students with minimal preparation. Many results in matrix theory are also presented. The treatment is rigorous and almost all results are proved completely. These results and applications will be of great interest to researchers in linear programming, statistics and operations research. The minimal prerequisites also make the book accessible to first-year graduate students.

During the past few decades, the gradual merger of Discrete Geometry and the newer discipline of Computational Geometry has provided enormous impetus to mathematicians and computer scientists interested in geometric problems. This 2005 volume, which contains 32 papers on a broad range of topics of interest in the field, is an outgrowth of that synergism. It includes surveys and research articles exploring geometric arrangements, polytopes, packing, covering, discrete convexity, geometric algorithms and their complexity, and the combinatorial complexity of geometric objects, particularly in low dimension. There are points of contact with many applied areas such as mathematical programming, visibility problems, kinetic data structures, and biochemistry, as well as with algebraic topology, geometric probability, real algebraic geometry, and combinatorics.

During the past few decades, the gradual merger of Discrete Geometry and the newer discipline of Computational Geometry has provided enormous impetus to mathematicians and computer scientists interested in geometric problems. This 2005 volume, which contains 32 papers on a broad range of topics of interest in the field, is an outgrowth of that synergism. It includes surveys and research articles exploring geometric arrangements, polytopes, packing, covering, discrete convexity, geometric algorithms and their complexity, and the combinatorial complexity of geometric objects, particularly in low dimension. There are points of contact with many applied areas such as mathematical programming, visibility problems, kinetic data structures, and biochemistry, as well as with algebraic topology, geometric probability, real algebraic geometry, and combinatorics.

Term rewriting systems developed out of mathematical logic and are an important part of theoretical computer science. They consist of sequences of discrete transformation steps where one term is replaced with another and have applications in many areas, from functional programming to automatic theorem proving and computer algebra. This 2003 book starts at an elementary level with the earlier chapters providing a foundation for the rest of the work. Much of the advanced material appeared here for the first time in book form. Subjects treated include orthogonality, termination, completion, lambda calculus, higher-order rewriting, infinitary rewriting and term graph rewriting. Many exercises are included with selected solutions provided on the web. A comprehensive bibliography makes this book ideal both for teaching and research. A chapter is included presenting applications of term rewriting systems, with many pointers to actual implementations.

How Australia Compares is a handy reference that compares Australia with seventeen other developed countries across a wide range of social, economic and political dimensions. Whenever possible, it gives not only snapshot comparisons from the present, but charts trends over recent decades or even longer. Encyclopaedic in scope, it provides statistics for a huge range of human activity, from taxation to traffic accidents, homicide rates to health expenditure, interest rates to internet usage. This new edition is fully revised and updated, and features two new chapters: The Howard Impact and The Search for Scoreboards. New sections include obesity, advertising, broadband internet access, childcare and corruption. Information is highly accessible with double-page spreads for each topic. Tables and graphs are presented on one page, and clear explanation and analysis on the facing page. In each discussion the focus is to put the Australian experience into international perspective, drawing o

Will brain scientists ever be able to read our minds? Why are some things harder to remember than others? Based on recent brain research and neural network modelling, The Brain-Shaped Mind addresses these, and other, questions, and provides a clear account of how the structure of the brain influences the workings of the mind. Neuroscientists are now learning about our minds by examining how the neurones in the brain are connected with one another and the surrounding environment. This book explores how neural networks enable us to recognise objects and learn new things, and what happens when things go wrong. The reader is taken on a fascinating journey into what is arguably one of the most complicated and remarkable aspects of our lives.

Will brain scientists ever be able to read our minds? Why are some things harder to remember than others? Based on recent brain research and neural network modelling, The Brain-Shaped Mind addresses these, and other, questions, and provides a clear account of how the structure of the brain influences the workings of the mind. Neuroscientists are now learning about our minds by examining how the neurones in the brain are connected with one another and the surrounding environment. This book explores how neural networks enable us to recognise objects and learn new things, and what happens when things go wrong. The reader is taken on a fascinating journey into what is arguably one of the most complicated and remarkable aspects of our lives.

The majority of empirical research in economics ignores the potential benefits of nonparametric methods, while the majority of advances in nonparametric theory ignore the problems faced in applied econometrics. This book helps bridge this gap between applied economists and theoretical nonparametric econometricians. It discusses in depth, and in terms that someone with only one year of graduate econometrics can understand, basic to advanced nonparametric methods. The analysis starts with density estimation and motivates the procedures through methods that should be familiar to the reader. It then moves on to kernel regression, estimation with discrete data, and advanced methods such as estimation with panel data and instrumental variables models. The book pays close attention to the issues that arise with programming, computing speed, and application. In each chapter, the methods discussed are applied to actual data, paying attention to presentation of results and potential pitfalls.

The majority of empirical research in economics ignores the potential benefits of nonparametric methods, while the majority of advances in nonparametric theory ignore the problems faced in applied econometrics. This book helps bridge this gap between applied economists and theoretical nonparametric econometricians. It discusses in depth, and in terms that someone with only one year of graduate econometrics can understand, basic to advanced nonparametric methods. The analysis starts with density estimation and motivates the procedures through methods that should be familiar to the reader. It then moves on to kernel regression, estimation with discrete data, and advanced methods such as estimation with panel data and instrumental variables models. The book pays close attention to the issues that arise with programming, computing speed, and application. In each chapter, the methods discussed are applied to actual data, paying attention to presentation of results and potential pitfalls.

Cryptography plays a crucial role in many aspects of today's world, from internet banking and ecommerce to email and web-based business processes. Understanding the principles on which it is based is an important topic that requires a knowledge of both computational complexity and a range of topics in pure mathematics. This book provides that knowledge, combining an informal style with rigorous proofs of the key results to give an accessible introduction. It comes with plenty of examples and exercises (many with hints and solutions), and is based on a highly successful course developed and taught over many years to undergraduate and graduate students in mathematics and computer science.

This is an up-to-date and integrated introduction to model theory, designed to be used for graduate courses (for students who are familiar with first-order logic), and as a reference for more experienced logicians and mathematicians. Model theory is concerned with the notions of definition, interpretation and structure in a very general setting, and is applied to a wide variety of other areas such as set theory, geometry, algebra (in particular group theory), and computer science (e.g. logic programming and specification). Professor Hodges emphasises definability and methods of construction, and introduces the reader to advanced topics such as stability. He also provides the reader with much historical information and a full bibliography, enhancing the book's use as a reference.

This is an up-to-date and integrated introduction to model theory, designed to be used for graduate courses (for students who are familiar with first-order logic), and as a reference for more experienced logicians and mathematicians. Model theory is concerned with the notions of definition, interpretation and structure in a very general setting, and is applied to a wide variety of other areas such as set theory, geometry, algebra (in particular group theory), and computer science (e.g. logic programming and specification). Professor Hodges emphasises definability and methods of construction, and introduces the reader to advanced topics such as stability. He also provides the reader with much historical information and a full bibliography, enhancing the book's use as a reference.

The European Molecular Biology Open Software Suite (EMBOSS) is a high quality, well documented package of open source software tools for molecular biology. EMBOSS includes extensive and extensible C programming libraries, providing a powerful and robust toolkit for developing new bioinformatics tools from scratch. The EMBOSS Developer's Guide is the official and definitive guide to developing software under EMBOSS. It includes comprehensive reference information and guidelines, including step-by-step instructions and real-world code examples: • Learn how to write fully-featured tools guided by the people who developed EMBOSS • Step-by-step guide to writing EMBOSS applications, illustrated with functional, deployed code • ACD file development - learn how to customise existing tools without coding, or design and write entirely new application interfaces • EMBOSS API programming guidelines - quickly master application development • Wrapping and porting applications under EMBOSS - learn ho

This is a textbook on graph theory, especially suitable for computer scientists but also suitable for mathematicians with an interest in computational complexity. Although it introduces most of the classical concepts of pure and applied graph theory (spanning trees, connectivity, genus, colourability, flows in networks, matchings and traversals) and covers many of the major classical theorems, the emphasis is on algorithms and thier complexity: which graph problems have known efficient solutions and which are intractable. For the intractable problems a number of efficient approximation algorithms are included with known performance bounds. Informal use is made of a PASCAL-like programming language to describe the algorithms. A number of exercises and outlines of solutions are included to extend and motivate the material of the text.

Students of evolutionary and behavioural ecology are often unfamiliar with mathematical techniques, though much of biology relies on mathematics. Evolutionary ideas are often complex, meaning that the logic of hypotheses proposed should not only be tested empirically but also mathematically. There are numerous different modelling tools used by ecologists, ranging from population genetic 'bookkeeping', to game theory and individual-based computer simulations. Due to the many different modelling options available, it is often difficult to know where to start. Hanna Kokko has designed this 2007 book to help with these decisions. Each method described is illustrated with one or two biologically interesting examples that have been chosen to help overcome fears of many biologists when faced with mathematical work, whilst also providing the programming code (Matlab) for each problem. Aimed primarily at students of evolutionary and behavioural ecology, this book will be of interest to any biol

Students of evolutionary and behavioural ecology are often unfamiliar with mathematical techniques, though much of biology relies on mathematics. Evolutionary ideas are often complex, meaning that the logic of hypotheses proposed should not only be tested empirically but also mathematically. There are numerous different modelling tools used by ecologists, ranging from population genetic 'bookkeeping', to game theory and individual-based computer simulations. Due to the many different modelling options available, it is often difficult to know where to start. Hanna Kokko has designed this 2007 book to help with these decisions. Each method described is illustrated with one or two biologically interesting examples that have been chosen to help overcome fears of many biologists when faced with mathematical work, whilst also providing the programming code (Matlab) for each problem. Aimed primarily at students of evolutionary and behavioural ecology, this book will be of interest to any biol

Model Predictive Control (MPC), the dominant advanced control approach in industry over the past twenty-five years, is presented comprehensively in this unique book. With a simple, unified approach, and with attention to real-time implementation, it covers predictive control theory including the stability, feasibility, and robustness of MPC controllers. The theory of explicit MPC, where the nonlinear optimal feedback controller can be calculated efficiently, is presented in the context of linear systems with linear constraints, switched linear systems, and, more generally, linear hybrid systems. Drawing upon years of practical experience and using numerous examples and illustrative applications, the authors discuss the techniques required to design predictive control laws, including algorithms for polyhedral manipulations, mathematical and multiparametric programming and how to validate the theoretical properties and to implement predictive control policies. The most important algorith

Model Predictive Control (MPC), the dominant advanced control approach in industry over the past twenty-five years, is presented comprehensively in this unique book. With a simple, unified approach, and with attention to real-time implementation, it covers predictive control theory including the stability, feasibility, and robustness of MPC controllers. The theory of explicit MPC, where the nonlinear optimal feedback controller can be calculated efficiently, is presented in the context of linear systems with linear constraints, switched linear systems, and, more generally, linear hybrid systems. Drawing upon years of practical experience and using numerous examples and illustrative applications, the authors discuss the techniques required to design predictive control laws, including algorithms for polyhedral manipulations, mathematical and multiparametric programming and how to validate the theoretical properties and to implement predictive control policies. The most important algorith

This volume explores how societies are addressing challenging questions about the relationship between expression, traditional and societal values, and the transformations introduced by new information communications technologies. It seeks to identify alternative approaches to the role of speech and expression in the organization of societies as well as efforts to shape the broader global information society. How have different societies or communities drawn on the ideas of philosophers, religious leaders or politicians, both historical and contemporary, that addressed questions of speech, government, order or freedoms and applied them, with particular attention to applications in the digital age? The essays include a wide variety of cultural and geographic contexts to identify different modes of thinking. The goal is to both unpack the 'normative' internet and free expression debate and to deepen understanding about why certain internet policies and models are being pursued in very di

This volume explores how societies are addressing challenging questions about the relationship between expression, traditional and societal values, and the transformations introduced by new information communications technologies. It seeks to identify alternative approaches to the role of speech and expression in the organization of societies as well as efforts to shape the broader global information society. How have different societies or communities drawn on the ideas of philosophers, religious leaders or politicians, both historical and contemporary, that addressed questions of speech, government, order or freedoms and applied them, with particular attention to applications in the digital age? The essays include a wide variety of cultural and geographic contexts to identify different modes of thinking. The goal is to both unpack the 'normative' internet and free expression debate and to deepen understanding about why certain internet policies and models are being pursued in very di

The interaction between computer and mathematics is becoming more and more important at all levels as computers become more sophisticated. This book shows how simple programs can be used to do significant mathematics. The purpose of this book is to give those with some mathematical background a wealth of material with which to appreciate both the power of the microcomputer and its relevance to the study of mathematics. The authors cover topics such as number theory, approximate solutions, differential equations and iterative processes, with each chapter self-contained. Many exercises and projects are included giving ready made material for demonstrating mathematical ideas. Only a fundamental knowledge of mathematics is assumed and programming is restricted to 'basic BASIC' which will be understood by any microcomputer. The book may be used as a textbook for algorithmic mathematics at several levels, with all the topics covered appearing in any undergraduate mathematics course.

Focusing on what actuaries need in practice, this introductory account provides readers with essential tools for handling complex problems and explains how simulation models can be created, used and re-used (with modifications) in related situations. The book begins by outlining the basic tools of modelling and simulation, including a discussion of the Monte Carlo method and its use. Part II deals with general insurance and Part III with life insurance and financial risk. Algorithms that can be implemented on any programming platform are spread throughout and a program library written in R is included. Numerous figures and experiments with R-code illustrate the text. The author's non-technical approach is ideal for graduate students, the only prerequisites being introductory courses in calculus and linear algebra, probability and statistics. The book will also be of value to actuaries and other analysts in the industry looking to update their skills.