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Learning Professional Python Volume 2: Advanced

Learning Professional Python Volume 2: Advanced

Volume 2 of Learning Professional Python is a resource for students who want to learn Python even if they don’t have any programming knowledge and for teachers who want a comprehensive introduction to Python to use with their students. This book helps the students achieve their dream job in the IT Industry and teaches the students in an easy understandable manner while strengthening coding skills. Learning Professional Python: Volume 2 Objectives Become familiar with the features of Python programming language Introduce the object-oriented programming concepts Discover how to write Python code by following the object-oriented programming concepts Become comfortable with concepts such as classes objects inheritance dynamic dispatch interfaces and packages Learn the Python generics and collections Develop exception handling and the multithreaded applications Design graphical user interface (GUI) applications | Learning Professional Python Volume 2: Advanced

GBP 52.99
1

Mathematical Principles of the Internet Volume 2 Mathematics

Mathematical Principles of the Internet Volume 2 Mathematics

This two-volume set on Mathematical Principles of the Internet provides a comprehensive overview of the mathematical principles of Internet engineering. The books do not aim to provide all of the mathematical foundations upon which the Internet is based. Instead they cover a partial panorama and the key principles. Volume 1 explores Internet engineering while the supporting mathematics is covered in Volume 2. The chapters on mathematics complement those on the engineering episodes and an effort has been made to make this work succinct yet self-contained. Elements of information theory algebraic coding theory cryptography Internet traffic dynamics and control of Internet congestion and queueing theory are discussed. In addition stochastic networks graph-theoretic algorithms application of game theory to the Internet Internet economics data mining and knowledge discovery and quantum computation communication and cryptography are also discussed. In order to study the structure and function of the Internet only a basic knowledge of number theory abstract algebra matrices and determinants graph theory geometry analysis optimization theory probability theory and stochastic processes is required. These mathematical disciplines are defined and developed in the books to the extent that is needed to develop and justify their application to Internet engineering. | Mathematical Principles of the Internet Volume 2 Mathematics

GBP 44.99
1

Discovering Evolution Equations with Applications Volume 2-Stochastic Equations

Discovering Evolution Equations with Applications Volume 2-Stochastic Equations

Most existing books on evolution equations tend either to cover a particular class of equations in too much depth for beginners or focus on a very specific research direction. Thus the field can be daunting for newcomers to the field who need access to preliminary material and behind-the-scenes detail. Taking an applications-oriented conversational approach Discovering Evolution Equations with Applications: Volume 2-Stochastic Equations provides an introductory understanding of stochastic evolution equations. The text begins with hands-on introductions to the essentials of real and stochastic analysis. It then develops the theory for homogenous one-dimensional stochastic ordinary differential equations (ODEs) and extends the theory to systems of homogenous linear stochastic ODEs. The next several chapters focus on abstract homogenous linear nonhomogenous linear and semi-linear stochastic evolution equations. The author also addresses the case in which the forcing term is a functional before explaining Sobolev-type stochastic evolution equations. The last chapter discusses several topics of active research. Each chapter starts with examples of various models. The author points out the similarities of the models develops the theory involved and then revisits the examples to reinforce the theoretical ideas in a concrete setting. He incorporates a substantial collection of questions and exercises throughout the text and provides two layers of hints for selected exercises at the end of each chapter. Suitable for readers unfamiliar with analysis even at the undergraduate level this book offers an engaging and accessible account of core theoretical results of stochastic evolution equations in a way that gradually builds readers’ intuition. | Discovering Evolution Equations with Applications Volume 2-Stochastic Equations

GBP 69.99
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Linear Models and the Relevant Distributions and Matrix Algebra A Unified Approach Volume 2

Linear Models and the Relevant Distributions and Matrix Algebra A Unified Approach Volume 2

Linear Models and the Relevant Distributions and Matrix Algebra: A Unified Approach Volume 2 covers several important topics that were not included in the first volume. The second volume complements the first providing detailed solutions to the exercises in both volumes thereby greatly enhancing its appeal for use in advanced statistics programs. This volume can serve as a valuable reference. It can also serve as a resource in a mathematical statistics course for use in illustrating various theoretical concepts in the context of a relatively complex setting of great practical importance. Together with the first volume this volume provides a largely self-contained treatment of an important area of statistics and should prove highly useful to graduate students and others. Key Features: Includes solutions to the exercises from both the first and second volumes Includes coverage of several topics not covered in the first volume Highly valuable as a reference book for graduate students and researchers | Linear Models and the Relevant Distributions and Matrix Algebra A Unified Approach Volume 2

GBP 89.99
1

Python for Scientific Computing and Artificial Intelligence

Python for Scientific Computing and Artificial Intelligence

Python for Scientific Computing and Artificial Intelligence is split into 3 parts: in Section 1 the reader is introduced to the Python programming language and shown how Python can aid in the understanding of advanced High School Mathematics. In Section 2 the reader is shown how Python can be used to solve real-world problems from a broad range of scientific disciplines. Finally in Section 3 the reader is introduced to neural networks and shown how TensorFlow (written in Python) can be used to solve a large array of problems in Artificial Intelligence (AI). This book was developed from a series of national and international workshops that the author has been delivering for over twenty years. The book is beginner friendly and has a strong practical emphasis on programming and computational modelling. Features: No prior experience of programming is required Online GitHub repository available with codes for readers to practice Covers applications and examples from biology chemistry computer science data science electrical and mechanical engineering economics mathematics physics statistics and binary oscillator computing Full solutions to exercises are available as Jupyter notebooks on the Web Support Material GitHub Repository of Python Files and Notebooks: https://github. com/proflynch/CRC-Press/ Solutions to All Exercises: Section 1: An Introduction to Python: https://drstephenlynch. github. io/webpages/Solutions_Section_1. html Section 2: Python for Scientific Computing: https://drstephenlynch. github. io/webpages/Solutions_Section_2. html Section 3: Artificial Intelligence: https://drstephenlynch. github. io/webpages/Solutions_Section_3. html

GBP 52.99
1

Tidy Finance with R

Tidy Finance with R

This textbook shows how to bring theoretical concepts from finance and econometrics to the data. Focusing on coding and data analysis with R we show how to conduct research in empirical finance from scratch. We start by introducing the concepts of tidy data and coding principles using the tidyverse family of R packages. Code is provided to prepare common open-source and proprietary financial data sources (CRSP Compustat Mergent FISD TRACE) and organize them in a database. We reuse these data in all the subsequent chapters which we keep as self-contained as possible. The empirical applications range from key concepts of empirical asset pricing (beta estimation portfolio sorts performance analysis Fama-French factors) to modeling and machine learning applications (fixed effects estimation clustering standard errors difference-in-difference estimators ridge regression Lasso Elastic net random forests neural networks) and portfolio optimization techniques. Highlights 1. Self-contained chapters on the most important applications and methodologies in finance which can easily be used for the reader’s research or as a reference for courses on empirical finance. 2. Each chapter is reproducible in the sense that the reader can replicate every single figure table or number by simply copying and pasting the code we provide. 3. A full-fledged introduction to machine learning with tidymodels based on tidy principles to show how factor selection and option pricing can benefit from Machine Learning methods. 4. Chapter 2 on accessing and managing financial data shows how to retrieve and prepare the most important datasets financial economics: CRSP and Compustat. The chapter also contains detailed explanations of the most relevant data characteristics. 5. Each chapter provides exercises based on established lectures and classes which are designed to help students to dig deeper. The exercises can be used for self-studying or as a source of inspiration for teaching exercises. | Tidy Finance with R

GBP 59.99
1

A Handbook of Statistical Analyses using SAS

A Handbook of Statistical Analyses using SAS

Updated to reflect SAS 9. 2 A Handbook of Statistical Analyses using SAS Third Edition continues to provide a straightforward description of how to conduct various statistical analyses using SAS. Each chapter shows how to use SAS for a particular type of analysis. The authors cover inference analysis of variance regression generalized linear models longitudinal data survival analysis principal components analysis factor analysis cluster analysis discriminant function analysis and correspondence analysis. They demonstrate the analyses through real-world examples including methadone maintenance treatment the relation of cirrhosis deaths to alcohol consumption a sociological study of children heart transplant treatment and crime rate determinants. With the data sets and SAS code available online this book remains the go-to resource for learning how to use SAS for many kinds of statistical analysis. It serves as a stepping stone to the wider resources available to SAS users.

GBP 180.00
1

A First Course in Ordinary Differential Equations

A First Course in Ordinary Differential Equations

A First course in Ordinary Differential Equations provides a detailed introduction to the subject focusing on analytical methods to solve ODEs and theoretical aspects of analyzing them when it is difficult/not possible to find their solutions explicitly. This two-fold treatment of the subject is quite handy not only for undergraduate students in mathematics but also for physicists engineers who are interested in understanding how various methods to solve ODEs work. More than 300 end-of-chapter problems with varying difficulty are provided so that the reader can self examine their understanding of the topics covered in the text. Most of the definitions and results used from subjects like real analysis linear algebra are stated clearly in the book. This enables the book to be accessible to physics and engineering students also. Moreover sufficient number of worked out examples are presented to illustrate every new technique introduced in this book. Moreover the author elucidates the importance of various hypotheses in the results by providing counter examples. Features Offers comprehensive coverage of all essential topics required for an introductory course in ODE. Emphasizes on both computation of solutions to ODEs as well as the theoretical concepts like well-posedness comparison results stability etc. Systematic presentation of insights of the nature of the solutions to linear/non-linear ODEs. Special attention on the study of asymptotic behavior of solutions to autonomous ODEs (both for scalar case and 2✕2 systems). Sufficient number of examples are provided wherever a notion is introduced. Contains a rich collection of problems. This book serves as a text book for undergraduate students and a reference book for scientists and engineers. Broad coverage and clear presentation of the material indeed appeals to the readers. Dr. Suman K. Tumuluri has been working in University of Hyderabad India for 11 years and at present he is an associate professor. His research interests include applications of partial differential equations in population dynamics and fluid dynamics.

GBP 82.99
1

Algorithm Design: A Methodological Approach - 150 problems and detailed solutions

Algorithm Design: A Methodological Approach - 150 problems and detailed solutions

A bestseller in its French edition this book is original in its construction and its success in the French market demonstrates its appeal. It is based on three principles: (1) An organization of the chapters by families of algorithms: exhaustive search divide and conquer etc. On the contrary there is no chapter devoted only to a systematic exposure of say algorithms on strings. Some of these will be found in different chapters. (2) For each family of algorithms an introduction is given to the mathematical principles and the issues of a rigorous design with one or two pedagogical examples. (3) For the most part the book details 150 problems spanning seven families of algorithms. For each problem a precise and progressive statement is given. More importantly a complete solution is detailed with respect to the design principles that have been presented; often some classical errors are pointed out. Roughly speaking two-thirds of the book is devoted to the detailed rational construction of the solutions. | Algorithm Design: A Methodological Approach - 150 problems and detailed solutions

GBP 48.99
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The Global Politics of Artificial Intelligence

The Global Politics of Artificial Intelligence

Technologies such as artificial intelligence have led to significant advances in science and medicine but have also facilitated new forms of repression policing and surveillance. AI policy has become without doubt a significant issue of global politics. The Global Politics of Artificial Intelligence tackles some of the issues linked to AI development and use contributing to a better understanding of the global politics of AI. This is an area where enormous work still needs to be done and the contributors to this volume provide significant input into this field of study to policy makers academics and society at large. Each of the chapters in this volume works as freestanding contribution and provides an accessible account of a particular issue linked to AI from a political perspective. Contributors to the volume come from many different areas of expertise and of the world and range from emergent to established authors. Chapter 2 of this book is freely available as a downloadable Open Access PDF at http://www. taylorfrancis. com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4. 0 license.

GBP 48.99
1

Theory and Applications of Higher-Dimensional Hadamard Matrices Second Edition

Theory and Applications of Higher-Dimensional Hadamard Matrices Second Edition

Drawing on the authors’ use of the Hadamard-related theory in several successful engineering projects Theory and Applications of Higher-Dimensional Hadamard Matrices Second Edition explores the applications and dimensions of Hadamard matrices. This edition contains a new section on the applications of higher-dimensional Hadamard matrices to the areas of telecommunications and information security. The first part of the book presents fast algorithms updated constructions existence results and generalized forms for Walsh and Hadamard matrices. The second section smoothly transitions from two-dimensional cases to three- four- and six-dimensional Walsh and Hadamard matrices and transforms. In the third part the authors discuss how the n-dimensional Hadamard matrices of order 2 are applied to feed-forward networking stream ciphers bent functions and error correcting codes. They also cover the Boolean approach of Hadamard matrices. The final part provides examples of applications of Hadamard-related ideas to the design and analysis of one-dimensional sequences and two-dimensional arrays. The theory and ideas of Hadamard matrices can be used in many areas of communications and information security. Through the research problems found in this book readers can further explore the fascinating issues and applications of the theory of higher-dimensional Hadamard matrices.

GBP 59.99
1

Multiplicative Differential Equations Two Volume Set

Multiplicative Differential Equations Two Volume Set

Multiplicative Differential Equations: Volume I is the first part of a comprehensive approach to the subject. It continues a series of books written by the authors on multiplicative geometric approaches to key mathematical topics. This volume begins with a basic introduction to multiplicative differential equations and then moves on to first and second order equations as well as the question of existence and unique of solutions. Each chapter ends with a section of practical problems. The book is accessible to graduate students and researchers in mathematics physics engineering and biology. Multiplicative Differential Equations: Volume 2 is the second part of a comprehensive approach to the subject. It continues a series of books written by the authors on multiplicative geometric approaches to key mathematical topics. This volume is devoted to the theory of multiplicative differential systems. The asymptotic behavior of the solutions of such systems is studied. Stability theory for multiplicative linear and nonlinear systems is introduced and boundary value problems for second order multiplicative linear and nonlinear equations are explored. The authors also present first order multiplicative partial differential equations. Each chapter ends with a section of practical problems. The book is accessible to graduate students and researchers in mathematics physics engineering and biology. | Multiplicative Differential Equations Two Volume Set

GBP 170.00
1

Advances in Complex Decision Making Using Machine Learning and Tools for Service-Oriented Computing

Advances in Complex Decision Making Using Machine Learning and Tools for Service-Oriented Computing

The rapidly evolving business and technology landscape demands sophisticated decision-making tools to stay ahead of the curve. Advances in Complex Decision Making: Using Machine Learning and Tools for Service-Oriented Computing is a cutting-edge technical guide exploring the latest decision-making technology advancements. This book provides a comprehensive overview of machine learning algorithms and examines their applications in complex decision-making systems in a service-oriented framework. The authors also delve into service-oriented computing and how it can be used to build complex systems that support decision making. Many real-world examples are discussed in this book to provide a practical insight into how discussed techniques can be applied in various domains including distributed computing cloud computing IoT and other online platforms. For researchers students data scientists and technical practitioners this book offers a deep dive into the current developments of machine learning algorithms and their applications in service-oriented computing. This book discusses various topics including Fuzzy Decisions ELICIT OWA aggregation Directed Acyclic Graph RNN LSTM GRU Type-2 Fuzzy Decision Evidential Reasoning algorithm and robust optimisation algorithms. This book is essential for anyone interested in the intersection of machine learning and service computing in complex decision-making systems. | Advances in Complex Decision Making Using Machine Learning and Tools for Service-Oriented Computing

GBP 44.99
1

Python for Beginners

Python for Beginners

Python is an amazing programming language. It can be applied to almost any programming task. It allows for rapid development and debugging. Getting started with Python is like learning any new skill: it’s important to find a resource you connect with to guide your learning. Luckily there’s no shortage of excellent books that can help you learn both the basic concepts of programming and the specifics of programming in Python. With the abundance of resources it can be difficult to identify which book would be best for your situation. Python for Beginners is a concise single point of reference for all material on python. Provides concise need-to-know information on Python types and statements special method names built-in functions and exceptions commonly used standard library modules and other prominent Python tools Offers practical advice for each major area of development with both Python 3. x and Python 2. x Based on the latest research in cognitive science and learning theory Helps the reader learn how to write effective idiomatic Python code by leveraging its best—and possibly most neglected—features This book focuses on enthusiastic research aspirants who work on scripting languages for automating the modules and tools development of web applications handling big data complex calculations workflow creation rapid prototyping and other software development purposes. It also targets graduates postgraduates in computer science information technology academicians practitioners and research scholars.

GBP 120.00
1

Introduction to Functional Data Analysis

Introduction to Functional Data Analysis

Introduction to Functional Data Analysis provides a concise textbook introduction to the field. It explains how to analyze functional data both at exploratory and inferential levels. It also provides a systematic and accessible exposition of the methodology and the required mathematical framework. The book can be used as textbook for a semester-long course on FDA for advanced undergraduate or MS statistics majors as well as for MS and PhD students in other disciplines including applied mathematics environmental science public health medical research geophysical sciences and economics. It can also be used for self-study and as a reference for researchers in those fields who wish to acquire solid understanding of FDA methodology and practical guidance for its implementation. Each chapter contains plentiful examples of relevant R code and theoretical and data analytic problems. The material of the book can be roughly divided into four parts of approximately equal length: 1) basic concepts and techniques of FDA 2) functional regression models 3) sparse and dependent functional data and 4) introduction to the Hilbert space framework of FDA. The book assumes advanced undergraduate background in calculus linear algebra distributional probability theory foundations of statistical inference and some familiarity with R programming. Other required statistics background is provided in scalar settings before the related functional concepts are developed. Most chapters end with references to more advanced research for those who wish to gain a more in-depth understanding of a specific topic.

GBP 44.99
1

Statistical Design Monitoring and Analysis of Clinical Trials Principles and Methods

Statistical Design Monitoring and Analysis of Clinical Trials Principles and Methods

Statistical Design Monitoring and Analysis of Clinical Trials Second Edition concentrates on the biostatistics component of clinical trials. This new edition is updated throughout and includes five new chapters. Developed from the authors’ courses taught to public health and medical students residents and fellows during the past 20 years the text shows how biostatistics in clinical trials is an integration of many fundamental scientific principles and statistical methods. The book begins with ethical and safety principles core trial design concepts the principles and methods of sample size and power calculation and analysis of covariance and stratified analysis. It then focuses on sequential designs and methods for two-stage Phase II cancer trials to Phase III group sequential trials covering monitoring safety futility and efficacy. The authors also discuss the development of sample size reestimation and adaptive group sequential procedures phase 2/3 seamless design and trials with predictive biomarkers exploit multiple testing procedures and explain the concept of estimand intercurrent events and different missing data processes and describe how to analyze incomplete data by proper multiple imputations. This text reflects the academic research commercial development and public health aspects of clinical trials. It gives students and practitioners a multidisciplinary understanding of the concepts and techniques involved in designing monitoring and analyzing various types of trials. The book’s balanced set of homework assignments and in-class exercises are appropriate for students and researchers in (bio)statistics epidemiology medicine pharmacy and public health. | Statistical Design Monitoring and Analysis of Clinical Trials Principles and Methods

GBP 82.99
1

Combinatorial Nullstellensatz With Applications to Graph Colouring

Combinatorial Nullstellensatz With Applications to Graph Colouring

Combinatorial Nullstellensatz is a novel theorem in algebra introduced by Noga Alon to tackle combinatorial problems in diverse areas of mathematics. This book focuses on the applications of this theorem to graph colouring. A key step in the applications of Combinatorial Nullstellensatz is to show that the coefficient of a certain monomial in the expansion of a polynomial is nonzero. The major part of the book concentrates on three methods for calculating the coefficients: Alon-Tarsi orientation: The task is to show that a graph has an orientation with given maximum out-degree and for which the number of even Eulerian sub-digraphs is different from the number of odd Eulerian sub-digraphs. In particular this method is used to show that a graph whose edge set decomposes into a Hamilton cycle and vertex-disjoint triangles is 3-choosable and that every planar graph has a matching whose deletion results in a 4-choosable graph. Interpolation formula for the coefficient: This method is in particular used to show that toroidal grids of even order are 3-choosable r-edge colourable r-regular planar graphs are r-edge choosable and complete graphs of order p+1 where p is a prime are p-edge choosable. Coefficients as the permanents of matrices: This method is in particular used in the study of the list version of vertex-edge weighting and to show that every graph is (2 3)-choosable. It is suited as a reference book for a graduate course in mathematics. | Combinatorial Nullstellensatz With Applications to Graph Colouring

GBP 52.99
1

Component-Based Software Engineering Methods and Metrics

Component-Based Software Engineering Methods and Metrics

This book focuses on a specialized branch of the vast domain of software engineering: component-based software engineering (CBSE). Component-Based Software Engineering: Methods and Metrics enhances the basic understanding of components by defining categories characteristics repository interaction complexity and composition. It divides the research domain of CBSE into three major sub-domains: (1) reusability issues (2) interaction and integration issues and (3) testing and reliability issues. This book covers the state-of-the-art literature survey of at least 20 years in the domain of reusability interaction and integration complexities and testing and reliability issues of component-based software engineering. The aim of this book is not only to review and analyze the previous works conducted by eminent researchers academicians and organizations in the context of CBSE but also suggests innovative efficient and better solutions. A rigorous and critical survey of traditional and advanced paradigms of software engineering is provided in the book. Features: In-interactions and Out-Interactions both are covered to assess the complexity. In the context of CBSE both white-box and black-box testing methods and their metrics are described. This work covers reliability estimation using reusability which is an innovative method. Case studies and real-life software examples are used to explore the problems and their solutions. Students research scholars software developers and software designers or individuals interested in software engineering especially in component-based software engineering can refer to this book to understand the concepts from scratch. These measures and metrics can be used to estimate the software before the actual coding commences. | Component-Based Software Engineering Methods and Metrics

GBP 105.00
1

The Sharpe Ratio Statistics and Applications

The Sharpe Ratio Statistics and Applications

The Sharpe ratio is the most widely used metric for comparing theperformance of financial assets. The Markowitz portfolio is the portfolio withthe highest Sharpe ratio. The Sharpe Ratio: Statistics and Applications examines the statistical propertiesof the Sharpe ratio and Markowitz portfolio both under the simplifying assumption of Gaussian returns and asymptotically. Connections are drawn between the financial measures and classical statistics includingStudent's t Hotelling's T^2 and the Hotelling-Lawley trace. The robustness of these statistics to heteroskedasticity autocorrelation fat tails and skew of returns are considered. The construction of portfolios to maximizethe Sharpe is expanded from the usual static unconditional model to include subspace constraints heding out assets and the use of conditioning information on both expected returns and risk. {book title} is the most comprehensivetreatment of the statistical properties of the Sharpe ratio and Markowitzportfolio ever published. Features: * Material on single asset problems market timing unconditional and conditional portfolio problems hedged portfolios. * Inference via both Frequentist and Bayesian paradigms. *A comprehensive treatment of overoptimism and overfitting of trading strategies. *Advice on backtesting strategies. *Dozens of examples and hundreds of exercises for self study. This book is an essential reference for the practicing quant strategist and the researcher alike and an invaluable textbook for the student. Steven E. Pav holds a PhD in mathematics from Carnegie Mellon University and degrees in mathematics and ceramic engineering sciencefrom Indiana University Bloomington and Alfred University. He was formerly a quantitative strategist at Convexus Advisors and CerebellumCapital and a quantitative analyst at Bank of America. He is the author of a dozen R packages including those for analyzing the significance of the Sharpe ratio and Markowitz portfolio. He writes about the Sharpe ratio at https://protect-us. mimecast. com/s/BUveCPNMYvt0vnwX8Cj689u?domain=sharperat. io . | The Sharpe Ratio Statistics and Applications

GBP 44.99
1

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
1

Stochastic Modelling for Systems Biology Third Edition

Stochastic Modelling for Systems Biology Third Edition

Since the first edition of Stochastic Modelling for Systems Biology there have been many interesting developments in the use of likelihood-free methods of Bayesian inference for complex stochastic models. Having been thoroughly updated to reflect this this third edition covers everything necessary for a good appreciation of stochastic kinetic modelling of biological networks in the systems biology context. New methods and applications are included in the book and the use of R for practical illustration of the algorithms has been greatly extended. There is a brand new chapter on spatially extended systems and the statistical inference chapter has also been extended with new methods including approximate Bayesian computation (ABC). Stochastic Modelling for Systems Biology Third Edition is now supplemented by an additional software library written in Scala described in a new appendix to the book. New in the Third EditionNew chapter on spatially extended systems covering the spatial Gillespie algorithm for reaction diffusion master equation models in 1- and 2-d along with fast approximations based on the spatial chemical Langevin equationSignificantly expanded chapter on inference for stochastic kinetic models from data covering ABC including ABC-SMCUpdated R package including code relating to all of the new materialNew R package for parsing SBML models into simulatable stochastic Petri net modelsNew open-source software library written in Scala replicating most of the functionality of the R packages in a fast compiled strongly typed functional languageKeeping with the spirit of earlier editions all of the new theory is presented in a very informal and intuitive manner keeping the text as accessible as possible to the widest possible readership. An effective introduction to the area of stochastic modelling in computational systems biology this new edition adds additional detail and computational methods that will provide a stronger foundation for the development of more advanced courses in stochastic biological modelling.

GBP 46.99
1

Student Solutions Manual for Gallian's Contemporary Abstract Algebra

Student Solutions Manual for Gallian's Contemporary Abstract Algebra

Whereas many partial solutions and sketches for the odd-numbered exercises appear in the book the Student Solutions Manual written by the author has comprehensive solutions for all odd-numbered exercises and large number of even-numbered exercises. This Manual also offers many alternative solutions to those appearing in the text. These will provide the student with a better understanding of the material. This is the only available student solutions manual prepared by the author of Contemporary Abstract Algebra Tenth Edition and is designed to supplement that text. Table of Contents Integers and Equivalence Relations0. Preliminaries Groups1. Introduction to Groups 2. Groups 3. Finite Groups; Subgroups 4. Cyclic Groups 5. Permutation Groups 6. Isomorphisms 7. Cosets and Lagrange's Theorem 8. External Direct Products 9. Normal Subgroups and Factor Groups 10. Group Homomorphisms 11. Fundamental Theorem of Finite Abelian Groups Rings12. Introduction to Rings 13. Integral Domains14. Ideals and Factor Rings 15. Ring Homomorphisms 16. Polynomial Rings 17. Factorization of Polynomials 18. Divisibility in Integral Domains FieldsFields19. Extension Fields 20. Algebraic Extensions21. Finite Fields 22. Geometric Constructions Special Topics23. Sylow Theorems 24. Finite Simple Groups 25. Generators and Relations 26. Symmetry Groups 27. Symmetry and Counting 28. Cayley Digraphs of Groups 29. Introduction to Algebraic Coding Theory 30. An Introduction to Galois Theory 31. Cyclotomic Extensions Biography Joseph A. Gallian earned his PhD from Notre Dame. In addition to receiving numerous national awards for his teaching and exposition he has served terms as the Second Vice President and the President of the MAA. He has served on 40 national committees chairing ten of them. He has published over 100 articles and authored six books. Numerous articles about his work have appeared in the national news outlets including the New York Times the Washington Post the Boston Globe and Newsweek among many others. | Student Solutions Manual for Gallian's Contemporary Abstract Algebra

GBP 44.99
1

Handbook of Approximation Algorithms and Metaheuristics Methologies and Traditional Applications Volume 1

Handbook of Approximation Algorithms and Metaheuristics Methologies and Traditional Applications Volume 1

Handbook of Approximation Algorithms and Metaheuristics Second Edition reflects the tremendous growth in the field over the past two decades. Through contributions from leading experts this handbook provides a comprehensive introduction to the underlying theory and methodologies as well as the various applications of approximation algorithms and metaheuristics. Volume 1 of this two-volume set deals primarily with methodologies and traditional applications. It includes restriction relaxation local ratio approximation schemes randomization tabu search evolutionary computation local search neural networks and other metaheuristics. It also explores multi-objective optimization reoptimization sensitivity analysis and stability. Traditional applications covered include: bin packing multi-dimensional packing Steiner trees traveling salesperson scheduling and related problems. Volume 2 focuses on the contemporary and emerging applications of methodologies to problems in combinatorial optimization computational geometry and graphs problems as well as in large-scale and emerging application areas. It includes approximation algorithms and heuristics for clustering networks (sensor and wireless) communication bioinformatics search streams virtual communities and more. About the EditorTeofilo F. Gonzalez is a professor emeritus of computer science at the University of California Santa Barbara. He completed his Ph. D. in 1975 from the University of Minnesota. He taught at the University of Oklahoma the Pennsylvania State University and the University of Texas at Dallas before joining the UCSB computer science faculty in 1984. He spent sabbatical leaves at the Monterrey Institute of Technology and Higher Education and Utrecht University. He is known for his highly cited pioneering research in the hardness of approximation; for his sublinear and best possible approximation algorithm for k-tMM clustering; for introducing the open-shop scheduling problem as well as algorithms for its solution that have found applications in numerous research areas; as well as for his research on problems in the areas of job scheduling graph algorithms computational geometry message communication wire routing etc. | Handbook of Approximation Algorithms and Metaheuristics Methologies and Traditional Applications Volume 1

GBP 44.99
1

Bayesian Applications in Pharmaceutical Development

Bayesian Applications in Pharmaceutical Development

The cost for bringing new medicine from discovery to market has nearly doubled in the last decade and has now reached $2. 6 billion. There is an urgent need to make drug development less time-consuming and less costly. Innovative trial designs/ analyses such as the Bayesian approach are essential to meet this need. This book will be the first to provide comprehensive coverage of Bayesian applications across the span of drug development from discovery to clinical trial to manufacturing with practical examples. This book will have a wide appeal to statisticians scientists and physicians working in drug development who are motivated to accelerate and streamline the drug development process as well as students who aspire to work in this field. The advantages of this book are: Provides motivating worked practical case examples with easy to grasp models technical details and computational codes to run the analyses Balances practical examples with best practices on trial simulation and reporting as well as regulatory perspectives Chapters written by authors who are individual contributors in their respective topics Dr. Mani Lakshminarayanan is a researcher and statistical consultant with more than 30 years of experience in the pharmaceutical industry. He has published over 50 articles technical reports and book chapters besides serving as a referee for several journals. He has a PhD in Statistics from Southern Methodist University Dallas Texas and is a Fellow of the American Statistical Association. Dr. Fanni Natanegara has over 15 years of pharmaceutical experience and is currently Principal Research Scientist and Group Leader for the Early Phase Neuroscience Statistics team at Eli Lilly and Company. She played a key role in the Advanced Analytics team to provide Bayesian education and statistical consultation at Eli Lilly. Dr. Natanegara is the chair of the cross industry-regulatory-academic DIA BSWG to ensure that Bayesian methods are appropriately utilized for design and analysis throughout the drug-development process. | Bayesian Applications in Pharmaceutical Development

GBP 44.99
1

Fundamentals of Ramsey Theory

Fundamentals of Ramsey Theory

Ramsey theory is a fascinating topic. The author shares his view of the topic in this contemporary overview of Ramsey theory. He presents from several points of view adding intuition and detailed proofs in an accessible manner unique among most books on the topic. This book covers all of the main results in Ramsey theory along with results that have not appeared in a book before. The presentation is comprehensive and reader friendly. The book covers integer graph and Euclidean Ramsey theory with many proofs being combinatorial in nature. The author motivates topics and discussion rather than just a list of theorems and proofs. In order to engage the reader each chapter has a section of exercises. This up-to-date book introduces the field of Ramsey theory from several different viewpoints so that the reader can decide which flavor of Ramsey theory best suits them. Additionally the book offers: A chapter providing different approaches to Ramsey theory e. g. using topological dynamics ergodic systems and algebra in the Stone-Čech compactification of the integers. A chapter on the probabilistic method since it is quite central to Ramsey-type numbers. A unique chapter presenting some applications of Ramsey theory. Exercises in every chapter The intended audience consists of students and mathematicians desiring to learn about Ramsey theory. An undergraduate degree in mathematics (or its equivalent for advanced undergraduates) and a combinatorics course is assumed. TABLE OF CONENTS Preface List of Figures List of Tables Symbols 1. Introduction 2. Integer Ramsey Theory 3. Graph Ramsey Theory 4. Euclidean Ramsey Theory 5. Other Approaches to Ramsey Theory 6. The Probabilistic Method 7. Applications Bibliography Index Biography Aaron Robertson received his Ph. D. in mathematics from Temple University under the guidance of his advisor Doron Zeilberger. Upon finishing his Ph. D. he started at Colgate University in upstate New York where he is currently Professor of Mathematics. He also serves as Associate Managing editor of the journal Integers. After a brief detour into the world of permutation patterns he has focused most of his research on Ramsey theory. | Fundamentals of Ramsey Theory

GBP 82.99
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