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Face Detection and Recognition Theory and Practice

Face Detection and Recognition Theory and Practice

Face detection and recognition are the nonintrusive biometrics of choice in many security applications. Examples of their use include border control driver’s license issuance law enforcement investigations and physical access control. Face Detection and Recognition: Theory and Practice elaborates on and explains the theory and practice of face detection and recognition systems currently in vogue. The book begins with an introduction to the state of the art offering a general review of the available methods and an indication of future research using cognitive neurophysiology. The text then:Explores subspace methods for dimensionality reduction in face image processing statistical methods applied to face detection and intelligent face detection methods dominated by the use of artificial neural networksCovers face detection with colour and infrared face images face detection in real time face detection and recognition using set estimation theory face recognition using evolutionary algorithms and face recognition in frequency domainDiscusses methods for the localization of face landmarks helpful in face recognition methods of generating synthetic face images using set estimation theory and databases of face images available for testing and training systemsFeatures pictorial descriptions of every algorithm as well as downloadable source code (in MATLAB®/PYTHON) and hardware implementation strategies with code examplesDemonstrates how frequency domain correlation techniques can be used supplying exhaustive test resultsFace Detection and Recognition: Theory and Practice provides students researchers and practitioners with a single source for cutting-edge information on the major approaches algorithms and technologies used in automated face detection and recognition. | Face Detection and Recognition Theory and Practice

GBP 59.99
1

Spatial Statistics for Data Science Theory and Practice with R

Spatial Statistics for Data Science Theory and Practice with R

Spatial data is crucial to improve decision-making in a wide range of fields including environment health ecology urban planning economy and society. Spatial Statistics for Data Science: Theory and Practice with R describes statistical methods modeling approaches and visualization techniques to analyze spatial data using R. The book provides a comprehensive overview of the varying types of spatial data and detailed explanations of the theoretical concepts of spatial statistics alongside fully reproducible examples which demonstrate how to simulate describe and analyze spatial data in various applications. Combining theory and practice the book includes real-world data science examples such as disease risk mapping air pollution prediction species distribution modeling crime mapping and real state analyses. The book utilizes publicly available data and offers clear explanations of the R code for importing manipulating analyzing and visualizing data as well as the interpretation of the results. This ensures contents are easily accessible and fully reproducible for students researchers and practitioners. Key Features: Describes R packages for retrieval manipulation and visualization of spatial data. Offers a comprehensive overview of spatial statistical methods including spatial autocorrelation clustering spatial interpolation model-based geostatistics and spatial point processes. Provides detailed explanations on how to fit and interpret Bayesian spatial models using the integrated nested Laplace approximation (INLA) and stochastic partial differential equation (SPDE) approaches. | Spatial Statistics for Data Science Theory and Practice with R

GBP 74.99
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Emerging Technologies in Computing Theory Practice and Advances

Emerging Technologies in Computing Theory Practice and Advances

Emerging Technologies in Computing: Theory Practice and Advances reviews the past current and future needs of technologies in the computer science field while it also discusses the emerging importance of appropriate practices advances and their impact. It outlines emerging technologies and their principles challenges and applications as well as issues involved in the digital age. With the rapid development of technologies it becomes increasingly important for us to remain up to date on new and emerging technologies. It draws a clear illustration for all those who have a strong interest in emerging computing technologies and their impacts on society. Features: Includes high-quality research work by academicians and industrial experts in the field of computing Offers case studies related to Artificial Intelligence Blockchain Internet of Things Multimedia Big Data Blockchain Augmented Reality Data Science Robotics Cybersecurity 3D Printing Voice Assistants and Chatbots and Future Communication Networks Serves as a valuable reference guide for anyone seeking knowledge about where future computing is heading | Emerging Technologies in Computing Theory Practice and Advances

GBP 105.00
1

Deep Learning A Comprehensive Guide

Deep Learning A Comprehensive Guide

Deep Learning: A Comprehensive Guide provides comprehensive coverage of Deep Learning (DL) and Machine Learning (ML) concepts. DL and ML are the most sought-after domains requiring a deep understanding – and this book gives no less than that. This book enables the reader to build innovative and useful applications based on ML and DL. Starting with the basics of neural networks and continuing through the architecture of various types of CNNs RNNs LSTM and more till the end of the book each and every topic is given the utmost care and shaped professionally and comprehensively. Key Features Includes the smooth transition from ML concepts to DL concepts Line-by-line explanations have been provided for all the coding-based examples Includes a lot of real-time examples and interview questions that will prepare the reader to take up a job in ML/DL right away Even a person with a non-computer-science background can benefit from this book by following the theory examples case studies and code snippets Every chapter starts with the objective and ends with a set of quiz questions to test the reader’s understanding Includes references to the related YouTube videos that provide additional guidance AI is a domain for everyone. This book is targeted toward everyone irrespective of their field of specialization. Graduates and researchers in deep learning will find this book useful. | Deep Learning A Comprehensive Guide

GBP 130.00
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Machine Learning Theory and Practice

Machine Learning Theory and Practice

Machine Learning: Theory and Practice provides an introduction to the most popular methods in machine learning. The book covers regression including regularization tree-based methods including Random Forests and Boosted Trees Artificial Neural Networks including Convolutional Neural Networks (CNNs) reinforcement learning and unsupervised learning focused on clustering. Topics are introduced in a conceptual manner along with necessary mathematical details. The explanations are lucid illustrated with figures and examples. For each machine learning method discussed the book presents appropriate libraries in the R programming language along with programming examples. Features: Provides an easy-to-read presentation of commonly used machine learning algorithms in a manner suitable for advanced undergraduate or beginning graduate students and mathematically and/or programming-oriented individuals who want to learn machine learning on their own. Covers mathematical details of the machine learning algorithms discussed to ensure firm understanding enabling further exploration Presents worked out suitable programming examples thus ensuring conceptual theoretical and practical understanding of the machine learning methods. This book is aimed primarily at introducing essential topics in Machine Learning to advanced undergraduates and beginning graduate students. The number of topics has been kept deliberately small so that it can all be covered in a semester or a quarter. The topics are covered in depth within limits of what can be taught in a short period of time. Thus the book can provide foundations that will empower a student to read advanced books and research papers. | Machine Learning Theory and Practice

GBP 110.00
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Artificial Intelligence for Cognitive Modeling Theory and Practice

Artificial Intelligence for Cognitive Modeling Theory and Practice

This book is written in a clear and thorough way to cover both the traditional and modern uses of artificial intelligence and soft computing. It gives an in-depth look at mathematical models algorithms and real-world problems that are hard to solve in MATLAB. The book is intended to provide a broad and in-depth understanding of fuzzy logic controllers genetic algorithms neural networks and hybrid techniques such as ANFIS and the GA-ANN model. Features: A detailed description of basic intelligent techniques (fuzzy logic genetic algorithm and neural network using MATLAB) A detailed description of the hybrid intelligent technique called the adaptive fuzzy inference technique (ANFIS) Formulation of the nonlinear model like analysis of ANOVA and response surface methodology Variety of solved problems on ANOVA and RSM Case studies of above mentioned intelligent techniques on the different process control systems This book can be used as a handbook and a guide for students of all engineering disciplines operational research areas computer applications and for various professionals who work in the optimization area. | Artificial Intelligence for Cognitive Modeling Theory and Practice

GBP 120.00
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Introduction to Statistical Decision Theory Utility Theory and Causal Analysis

Introduction to Statistical Decision Theory Utility Theory and Causal Analysis

Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis provides the theoretical background to approach decision theory from a statistical perspective. It covers both traditional approaches in terms of value theory and expected utility theory and recent developments in terms of causal inference. The book is specifically designed to appeal to students and researchers that intend to acquire a knowledge of statistical science based on decision theory. FeaturesCovers approaches for making decisions under certainty risk and uncertaintyIllustrates expected utility theory and its extensionsDescribes approaches to elicit the utility functionReviews classical and Bayesian approaches to statistical inference based on decision theoryDiscusses the role of causal analysis in statistical decision theory | Introduction to Statistical Decision Theory Utility Theory and Causal Analysis

GBP 44.99
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Financial Mathematics A Comprehensive Treatment in Discrete Time

Financial Mathematics A Comprehensive Treatment in Discrete Time

The book has been tested and refined through years of classroom teaching experience. With an abundance of examples problems and fully worked out solutions the text introduces the financial theory and relevant mathematical methods in a mathematically rigorous yet engaging way. This textbook provides complete coverage of discrete-time financial models that form the cornerstones of financial derivative pricing theory. Unlike similar texts in the field this one presents multiple problem-solving approaches linking related comprehensive techniques for pricing different types of financial derivatives. Key features: In-depth coverage of discrete-time theory and methodology. Numerous fully worked out examples and exercises in every chapter. Mathematically rigorous and consistent yet bridging various basic and more advanced concepts. Judicious balance of financial theory mathematical and computational methods. Guide to Material. This revision contains: Almost 200 pages worth of new material in all chapters. A new chapter on elementary probability theory. An expanded the set of solved problems and additional exercises. Answers to all exercises. This book is a comprehensive self-contained and unified treatment of the main theory and application of mathematical methods behind modern-day financial mathematics. | Financial Mathematics A Comprehensive Treatment in Discrete Time

GBP 89.99
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Software Engineering Practice A Case Study Approach

Software Engineering Practice A Case Study Approach

This book is a broad discussion covering the entire software development lifecycle. It uses a comprehensive case study to address each topic and features the following: A description of the development by the fictional company Homeowner of the DigitalHome (DH) System a system with smart devices for controlling home lighting temperature humidity small appliance power and security A set of scenarios that provide a realistic framework for use of the DH System material Just-in-time training: each chapter includes mini tutorials introducing various software engineering topics that are discussed in that chapter and used in the case study A set of case study exercises that provide an opportunity to engage students in software development practice either individually or in a team environment. Offering a new approach to learning about software engineering theory and practice the text is specifically designed to: Support teaching software engineering using a comprehensive case study covering the complete software development lifecycle Offer opportunities for students to actively learn about and engage in software engineering practice Provide a realistic environment to study a wide array of software engineering topics including agile development Software Engineering Practice: A Case Study Approach supports a student-centered active learning style of teaching. The DH case study exercises provide a variety of opportunities for students to engage in realistic activities related to the theory and practice of software engineering. The text uses a fictitious team of software engineers to portray the nature of software engineering and to depict what actual engineers do when practicing software engineering. All the DH case study exercises can be used as team or group exercises in collaborative learning. Many of the exercises have specific goals related to team building and teaming skills. The text also can be used to support the professional development or certification of practicing software engineers. The case study exercises can be integrated with presentations in a workshop or short course for professionals. | Software Engineering Practice A Case Study Approach

GBP 66.99
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Understanding Risk The Theory and Practice of Financial Risk Management

Understanding Risk The Theory and Practice of Financial Risk Management

Sound risk management often involves a combination of both mathematical and practical aspects. Taking this into account Understanding Risk: The Theory and Practice of Financial Risk Management explains how to understand financial risk and how the severity and frequency of losses can be controlled. It combines a quantitative approach with a more informal style giving readers a blend of analysis and intuition. Divided into four parts the book begins by introducing the basics of risk management and the behavior of financial instruments. The next section focuses on regulatory capital standards and models addressing value-at-risk (VaR) models portfolio credit risk tranching operational risk and the Basel accords. The author then deals with asset/liability management (ALM) and liquidity management. The last part explores structured finance and a variety of new trading instruments including inflation-linked products sophisticated equity basket options and convertible bonds. With numerous exercises figures and examples throughout this book offers valuable insight on various aspects of financial risk management. | Understanding Risk The Theory and Practice of Financial Risk Management

GBP 175.00
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Cyber-Physical Systems A Comprehensive Guide

Cyber-Physical Systems A Comprehensive Guide

Cyber-Physical Systems: A Comprehensive Guide explores the complete sys-tem perspective underlying theories modelling and the applications of Cyber Physical Systems (CPS). It aims to cover all topics ranging from discussion of ru-diments of the system efficient management to recent research challenges and issues. Editors aim to present the book in a self-sufficient manner and to achieve this the book has been edited to include all the aspects of CPS. The book fo-cuses on the concept map of CPS including latest technological interventions; issues challenges and the integration of CPS with IoT & Big Data Analytics. This aims to bring together unique contributions on cyber-physical systems research and education with applications in industrial agriculture and medical domains. The main aim of the book is to provide a roadmap to the latest advancements to provide optimal solutions in the field of CPS. Features • Coverage of rudiments of the subject• Discussion of recent advancements in the associated field• Considers an audience of diverse domains• Suitable for students (both UG and PG level) and researchers in the field of CPS This book aims to present the emergence of Cyber Physical Systems in response to revolutionary advancements in IoT. While discussing the associated challenges it also endeavors to devise efficient models which are competent to address these challenges. This book aims to cater to researchers and academicians working in the related field of CPS. | Cyber-Physical Systems A Comprehensive Guide

GBP 145.00
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Differential Equations Theory Technique and Practice

Differential Equations Theory Technique and Practice

Differential equations is one of the oldest subjects in modern mathematics. It was not long after Newton and Leibniz invented the calculus that Bernoulli and Euler and others began to consider the heat equation and the wave equation of mathematical physics. Newton himself solved differential equations both in the study of planetary motion and also in his consideration of optics. Today differential equations is the centerpiece of much of engineering of physics of significant parts of the life sciences and in many areas of mathematical modeling. This text describes classical ideas and provides an entree to the newer ones. The author pays careful attention to advanced topics like the Laplace transform Sturm–Liouville theory and boundary value problems (on the traditional side) but also pays due homage to nonlinear theory to modeling and to computing (on the modern side). This book began as a modernization of George Simmons’ classic Differential Equations with Applications and Historical Notes. Prof. Simmons invited the author to update his book. Now in the third edition this text has become the author’s own and a unique blend of the traditional and the modern. The text describes classical ideas and provides an entree to newer ones. Modeling brings the subject to life and makes the ideas real. Differential equations can model real life questions and computer calculations and graphics can then provide real life answers. The symbiosis of the synthetic and the calculational provides a rich experience for students and prepares them for more concrete applied work in future courses. Additional Features Anatomy of an Application sections. Historical notes continue to be a unique feature of this text. Math Nuggets are brief perspectives on mathematical lives or other features of the discipline that will enhance the reading experience. Problems for Review and Discovery give students some open-ended material for exploration and further learning. They are an important means of extending the reach of the text and for anticipating future work. This new edition is re-organized to make it more useful and more accessible. The most frequently taught topics are now up front. And the major applications are isolated in their own chapters. This makes this edition the most useable and flexible of any previous editions. | Differential Equations Theory Technique and Practice

GBP 82.99
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Financial Mathematics A Comprehensive Treatment in Continuous Time Volume II

Financial Mathematics A Comprehensive Treatment in Continuous Time Volume II

The book has been tested and refined through years of classroom teaching experience. With an abundance of examples problems and fully worked out solutions the text introduces the financial theory and relevant mathematical methods in a mathematically rigorous yet engaging way. This textbook provides complete coverage of continuous-time financial models that form the cornerstones of financial derivative pricing theory. Unlike similar texts in the field this one presents multiple problem-solving approaches linking related comprehensive techniques for pricing different types of financial derivatives. Key features: In-depth coverage of continuous-time theory and methodology Numerous fully worked out examples and exercises in every chapter Mathematically rigorous and consistent yet bridging various basic and more advanced concepts Judicious balance of financial theory and mathematical methods Guide to Material This revision contains: Almost 150 pages worth of new material in all chapters A appendix on probability theory An expanded set of solved problems and additional exercises Answers to all exercises This book is a comprehensive self-contained and unified treatment of the main theory and application of mathematical methods behind modern-day financial mathematics. The text complements Financial Mathematics: A Comprehensive Treatment in Discrete Time by the same authors also published by CRC Press. | Financial Mathematics A Comprehensive Treatment in Continuous Time Volume II

GBP 84.99
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Computer Graphics Through OpenGL From Theory to Experiments

Computer Graphics Through OpenGL From Theory to Experiments

COMPREHENSIVE COVERAGE OF SHADERS THE PROGRAMMABLE PIPELINE AND WEBGL From geometric primitives to animation to 3D modeling to lighting shading and texturing Computer Graphics Through OpenGL®: From Theory to Experiments is a comprehensive introduction to computer graphics which uses an active learning style to teach key concepts. Equally emphasizing theory and practice the book provides an understanding not only of the principles of 3D computer graphics but also the use of the OpenGL® Application Programming Interface (API) to code 3D scenes and animation including games and movies. The undergraduate core of the book takes the student from zero knowledge of computer graphics to a mastery of the fundamental concepts with the ability to code applications using fourth-generation OpenGL® as well as using WebGL® in order to publish to the web. The remaining chapters explore more advanced topics including the structure of curves and surfaces applications of projective spaces and transformations and the implementation of graphics pipelines. This book can be used for introductory undergraduate computer graphics courses over one to two semesters. The careful exposition style attempting to explain each concept in the simplest terms possible should appeal to the self-study student as well. Features Covers the foundations of 3D computer graphics including animation visual techniques and 3D modeling Comprehensive coverage of OpenGL® 4. x including the GLSL and vertex fragment tessellation and geometry shaders Comprehensive coverage of WebGL® 2. 0. Includes 440 programs and experiments Contains 700 exercises 100 worked examples and 650 four-color illustrations Requires no previous knowledge of computer graphics Balances theory with programming practice using a hands-on interactive approach to explain the underlying concepts | Computer Graphics Through OpenGL® From Theory to Experiments

GBP 110.00
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Multiple Imputation of Missing Data in Practice Basic Theory and Analysis Strategies

Multiple Imputation of Missing Data in Practice Basic Theory and Analysis Strategies

Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies provides a comprehensive introduction to the multiple imputation approach to missing data problems that are often encountered in data analysis. Over the past 40 years or so multiple imputation has gone through rapid development in both theories and applications. It is nowadays the most versatile popular and effective missing-data strategy that is used by researchers and practitioners across different fields. There is a strong need to better understand and learn about multiple imputation in the research and practical community. Accessible to a broad audience this book explains statistical concepts of missing data problems and the associated terminology. It focuses on how to address missing data problems using multiple imputation. It describes the basic theory behind multiple imputation and many commonly-used models and methods. These ideas are illustrated by examples from a wide variety of missing data problems. Real data from studies with different designs and features (e. g. cross-sectional data longitudinal data complex surveys survival data studies subject to measurement error etc. ) are used to demonstrate the methods. In order for readers not only to know how to use the methods but understand why multiple imputation works and how to choose appropriate methods simulation studies are used to assess the performance of the multiple imputation methods. Example datasets and sample programming code are either included in the book or available at a github site (https://github. com/he-zhang-hsu/multiple_imputation_book). Key Features Provides an overview of statistical concepts that are useful for better understanding missing data problems and multiple imputation analysis Provides a detailed discussion on multiple imputation models and methods targeted to different types of missing data problems (e. g. univariate and multivariate missing data problems missing data in survival analysis longitudinal data complex surveys etc. ) Explores measurement error problems with multiple imputation Discusses analysis strategies for multiple imputation diagnostics Discusses data production issues when the goal of multiple imputation is to release datasets for public use as done by organizations that process and manage large-scale surveys with nonresponse problems For some examples illustrative datasets and sample programming code from popular statistical packages (e. g. SAS R WinBUGS) are included in the book. For others they are available at a github site (https://github. com/he-zhang-hsu/multiple_imputation_book) | Multiple Imputation of Missing Data in Practice Basic Theory and Analysis Strategies

GBP 82.99
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Introduction to Information Theory and Data Compression

Introduction to Information Theory and Data Compression

An effective blend of carefully explained theory and practical applications this text imparts the fundamentals of both information theory and data compression. Although the two topics are related this unique text allows either topic to be presented independently and it was specifically designed so that the data compression section requires no prior knowledge of information theory. The treatment of information theory while theoretical and abstract is quite elementary making this text less daunting than many others. After presenting the fundamental definitions and results of the theory the authors then apply the theory to memoryless discrete channels with zeroth-order one-state sources. The chapters on data compression acquaint students with a myriad of lossless compression methods and then introduce two lossy compression methods. Students emerge from this study competent in a wide range of techniques. The authors' presentation is highly practical but includes some important proofs either in the text or in the exercises so instructors can if they choose place more emphasis on the mathematics. Introduction to Information Theory and Data Compression Second Edition is ideally suited for an upper-level or graduate course for students in mathematics engineering and computer science. Features:Expanded discussion of the historical and theoretical basis of information theory that builds a firm intuitive grasp of the subjectReorganization of theoretical results along with new exercises ranging from the routine to the more difficult that reinforce students' ability to apply the definitions and results in specific situations. Simplified treatment of the algorithm(s) of Gallager and KnuthDiscussion of the information rate of a code and the trade-off between error correction and information rateTreatment of probabilistic finite state source automata including basic resul

GBP 59.99
1

Multifractals Theory and Applications

Multifractals Theory and Applications

Although multifractals are rooted in probability much of the related literature comes from the physics and mathematics arena. Multifractals: Theory and Applications pulls together ideas from both these areas using a language that makes them accessible and useful to statistical scientists. It provides a framework in particular for the evaluation of statistical properties of estimates of the Renyi fractal dimensions. The first section provides introductory material and different definitions of a multifractal measure. The author then examines some of the various constructions for describing multifractal measures. Building from the theory of large deviations he focuses on constructions based on lattice coverings covering by point-centered spheres and cascades processes. The final section presents estimators of Renyi dimensions of integer order two and greater and discusses their properties. It also explores various applications of dimension estimation and provides a detailed case study of spatial point patterns of earthquake locations. Estimating fractal dimensions holds particular value in studies of nonlinear dynamical systems time series and spatial point patterns. With its careful yet practical blend of multifractals estimation methods and case studies Multifractals: Theory and Applications provides a unique opportunity to explore the estimation methods from a statistical perspective. | Multifractals Theory and Applications

GBP 59.99
1

Generative Adversarial Networks in Practice

Generative Adversarial Networks in Practice

This book is an all-inclusive resource that provides a solid foundation on Generative Adversarial Networks (GAN) methodologies their application to real-world projects and their underlying mathematical and theoretical concepts. Key Features: Guides you through the complex world of GANs demystifying their intricacies Accompanies your learning journey with real-world examples and practical applications Navigates the theory behind GANs presenting it in an accessible and comprehensive way Simplifies the implementation of GANs using popular deep learning platforms Introduces various GAN architectures giving readers a broad view of their applications Nurture your knowledge of AI with our comprehensive yet accessible content Practice your skills with numerous case studies and coding examples Reviews advanced GANs such as DCGAN cGAN and CycleGAN with clear explanations and practical examples Adapts to both beginners and experienced practitioners with content organized to cater to varying levels of familiarity with GANs Connects the dots between GAN theory and practice providing a well-rounded understanding of the subject Takes you through GAN applications across different data types highlighting their versatility Inspires the reader to explore beyond this book fostering an environment conducive to independent learning and research Closes the gap between complex GAN methodologies and their practical implementation allowing readers to directly apply their knowledge Empowers you with the skills and knowledge needed to confidently use GANs in your projects Prepare to deep dive into the captivating realm of GANs and experience the power of AI like never before with Generative Adversarial Networks (GANs) in Practice. This book brings together the theory and practical aspects of GANs in a cohesive and accessible manner making it an essential resource for both beginners and experienced practitioners. | Generative Adversarial Networks in Practice

GBP 74.99
1

Beyond First Order Model Theory Volume I and II

Beyond First Order Model Theory Volume I and II

Model theory is the meta-mathematical study of the concept of mathematical truth. After Afred Tarski coined the term Theory of Models in the early 1950’s it rapidly became one of the central most active branches of mathematical logic. In the last few decades ideas that originated within model theory have provided powerful tools to solve problems in a variety of areas of classical mathematics including algebra combinatorics geometry number theory and Banach space theory and operator theory. The two volumes of Beyond First Order Model Theory present the reader with a fairly comprehensive vista rich in width and depth of some of the most active areas of contemporary research in model theory beyond the realm of the classical first-order viewpoint. Each chapter is intended to serve both as an introduction to a current direction in model theory and as a presentation of results that are not available elsewhere. All the articles are written so that they can be studied independently of one another. The first volume is an introduction to current trends in model theory and contains a collection of articles authored by top researchers in the field. It is intended as a reference for students as well as senior researchers. This second volume contains introductions to real-valued logic and applications abstract elementary classes and applications interconnections between model theory and function spaces nonstucture theory and model theory of second-order logic. Features A coherent introduction to current trends in model theory. Contains articles by some of the most influential logicians of the last hundred years. No other publication brings these distinguished authors together. Suitable as a reference for advanced undergraduate postgraduates and researchers. Material presented in the book (e. g abstract elementary classes first-order logics with dependent sorts and applications of infinitary logics in set theory) is not easily accessible in the current literature. The various chapters in the book can be studied independently. | Beyond First Order Model Theory Volume I and II

GBP 230.00
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Bioinformatics A Practical Guide to NCBI Databases and Sequence Alignments

Bioinformatics A Practical Guide to NCBI Databases and Sequence Alignments

Bioinformatics: A Practical Guide to NCBI Databases and Sequence Alignments provides the basics of bioinformatics and in-depth coverage of NCBI databases sequence alignment and NCBI Sequence Local Alignment Search Tool (BLAST). As bioinformatics has become essential for life sciences the book has been written specifically to address the need of a large audience including undergraduates graduates researchers healthcare professionals and bioinformatics professors who need to use the NCBI databases retrieve data from them and use BLAST to find evolutionarily related sequences sequence annotation construction of phylogenetic tree and the conservative domain of a protein to name just a few. Technical details of alignment algorithms are explained with a minimum use of mathematical formulas and with graphical illustrations. Key Features Provides readers with the most-used bioinformatics knowledge of bioinformatics databases and alignments including both theory and application via illustrations and worked examples. Discusses the use of Windows Command Prompt Linux shell R and Python for both Entrez databases and BLAST. The companion website (http://www. hamiddi. com/instructors/) contains tutorials R and Python codes instructor materials including slides exercises and problems for students. This is the ideal textbook for bioinformatics courses taken by students of life sciences and for researchers wishing to develop their knowledge of bioinformatics to facilitate their own research. | Bioinformatics A Practical Guide to NCBI Databases and Sequence Alignments

GBP 82.99
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Introduction to Number Theory

Introduction to Number Theory

Introduction to Number Theory covers the essential content of an introductory number theory course including divisibility and prime factorization congruences and quadratic reciprocity. The instructor may also choose from a collection of additional topics. Aligning with the trend toward smaller essential texts in mathematics the author strives for clarity of exposition. Proof techniques and proofs are presented slowly and clearly. The book employs a versatile approach to the use of algebraic ideas. Instructors who wish to put this material into a broader context may do so though the author introduces these concepts in a non-essential way. A final chapter discusses algebraic systems (like the Gaussian integers) presuming no previous exposure to abstract algebra. Studying general systems helps students to realize unique factorization into primes is a more subtle idea than may at first appear; students will find this chapter interesting fun and quite accessible. Applications of number theory include several sections on cryptography and other applications to further interest instructors and students alike.

GBP 38.99
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Exercises and Solutions in Biostatistical Theory

Exercises and Solutions in Biostatistical Theory

Drawn from nearly four decades of Lawrence L. Kupper‘s teaching experiences as a distinguished professor in the Department of Biostatistics at the University of North Carolina Exercises and Solutions in Biostatistical Theory presents theoretical statistical concepts numerous exercises and detailed solutions that span topics from basic probability to statistical inference. The text links theoretical biostatistical principles to real-world situations including some of the authors own biostatistical work that has addressed complicated design and analysis issues in the health sciences. This classroom-tested material is arranged sequentially starting with a chapter on basic probability theory followed by chapters on univariate distribution theory and multivariate distribution theory. The last two chapters on statistical inference cover estimation theory and hypothesis testing theory. Each chapter begins with an in-depth introduction that summarizes the biostatistical principles needed to help solve the exercises. Exercises range in level of difficulty from fairly basic to more challenging (identified with asterisks). By working through the exercises and detailed solutions in this book students will develop a deep understanding of the principles of biostatistical theory. The text shows how the biostatistical theory is effectively used to address important biostatistical issues in a variety of real-world settings. Mastering the theoretical biostatistical principles described in the book will prepare students for successful study of higher-level statistical theory and will help them become better biostatisticians.

GBP 175.00
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A First Course in Ergodic Theory

A First Course in Ergodic Theory

A First Course in Ergodic Theory provides readers with an introductory course in Ergodic Theory. This textbook has been developed from the authors’ own notes on the subject which they have been teaching since the 1990s. Over the years they have added topics theorems examples and explanations from various sources. The result is a book that is easy to teach from and easy to learn from — designed to require only minimal prerequisites. Features Suitable for readers with only a basic knowledge of measure theory some topology and a very basic knowledge of functional analysis Perfect as the primary textbook for a course in Ergodic Theory Examples are described and are studied in detail when new properties are presented.

GBP 44.99
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Algebraic Number Theory A Brief Introduction

Algebraic Number Theory A Brief Introduction

This book offers the basics of algebraic number theory for students and others who need an introduction and do not have the time to wade through the voluminous textbooks available. It is suitable for an independent study or as a textbook for a first course on the topic. The author presents the topic here by first offering a brief introduction to number theory and a review of the prerequisite material then presents the basic theory of algebraic numbers. The treatment of the subject is classical but the newer approach discussed at the end provides a broader theory to include the arithmetic of algebraic curves over finite fields and even suggests a theory for studying higher dimensional varieties over finite fields. It leads naturally to the Weil conjecture and some delicate questions in algebraic geometry. About the Author Dr. J. S. Chahal is a professor of mathematics at Brigham Young University. He received his Ph. D. from Johns Hopkins University and after spending a couple of years at the University of Wisconsin as a post doc he joined Brigham Young University as an assistant professor and has been there ever since. He specializes and has published several papers in number theory. For hobbies he likes to travel and hike. His book Fundamentals of Linear Algebra is also published by CRC Press. | Algebraic Number Theory A Brief Introduction

GBP 52.99
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