Mathematics Books
Taylor & Francis Ltd Functional Data Analysis with R
Book SynopsisEmerging technologies generate data sets of increased size and complexity that require new or updated statistical inferential methods and scalable, reproducible software. These data sets often involve measurements of a continuous underlying process, and benefit from a functional data perspective. Functional Data Analysis with R presents many ideas for handling functional data including dimension reduction techniques, smoothing, functional regression, structured decompositions of curves, and clustering. The idea is for the reader to be able to immediately reproduce the results in the book, implement these methods, and potentially design new methods and software that may be inspired by these approaches.Features: Functional regression models receive a modern treatment that allows extensions to many practical scenarios and development of state-of-the-art software The connection between functional regression, penalized smoothing, and mixed effects models is used as the cornerstone for inference Multilevel, longitudinal, and structured functional data are discussed with emphasis on emerging functional data structures Methods for clustering functional data before and after smoothing are discussed Multiple new functional data sets with dense and sparse sampling designs from various application areas are presented, including the NHANES linked accelerometry and mortality data, COVID-19 mortality data, CD4 counts data and the CONTENT child growth study Step-by-step software implementations are included, along with a supplementary website (www.FunctionalDataAnalysis.com) featuring software, data, and tutorials More than 100 plots for visualization of functional data are presented Functional Data Analysis with R is primarily aimed at undergraduate, master's and PhD students, as well as data scientists and researchers working on functional data analysis. The book can be read at different levels and combines state-of-the-art software, methods, and inference. It can be used for self-learning, teaching, and research, and will particularly appeal to anyone who is interested in practical methods for hands-on, problem-forward functional data analysis. The reader should have some basic coding experience, but expertise in R is not required.
£73.14
Taylor & Francis Ltd Basics of Ramsey Theory
Book SynopsisBasics of Ramsey Theory serves as a gentle introduction to Ramsey theory for students interested in becoming familiar with a dynamic segment of contemporary mathematics that combines ideas from number theory and combinatorics. The core of the of the book consists of discussions and proofs of the results now universally known as Ramsey's theorem, van der Waerden's theorem, Schur's theorem, Rado's theorem, the HalesJewett theorem, and the Happy End Problem of Erdos and Szekeres. The aim is to present these in a manner that will be challenging but enjoyable, and broadly accessible to anyone with a genuine interest in mathematics.Features Suitable for any undergraduate student who has successfully completed the standard calculus sequence of courses and a standard first (or second) year linear algebra course Filled with visual proofs of fundamental theorems Contains numerous exercises (with their solutions) acceTable of Contents1. Introduction: Pioneers and Trailblazers. 1.1. Complete Disorder is Impossible. 1.2 Paul Erdős. 1.3. Frank Plumpton Ramsey. 1.4 Ramsey Theory. 2. Ramsey’s Theorem. 2.1. The Pigeonhole Principle. 2.2. Acquaintances and Strangers. 2.3. Ramsey’s Theorem for Graphs. 2.4. Ramsey’s Theorem: Infinite Case. 2.5. Ramsey’s Theorem: General Case. 2.6. Exercises. 3. van der Waerden’s Theorem. 3.1. Bartel van der Waerden. 3.2. van der Waerden’s Theorem: 3–Term Arithmetic Progressions. 3.3. Proof of van der Waerden’s Theorem. 3.4. van der Waerden’s Theorem: How Far and Where? 3.5. van der Waerden’s Theorem: Some Related Questions. 3.6. Exercises. 4. Schur’s Theorem and Rado’s Theorem. 4.1 Issai Schur. 4.2. Schur’s Theorem. 4.3. Richard Rado. 4.4 Rado’s Theorem. 4.5. Exercises. 5. The Hales–Jewett Theorem. 5.1. Combinatorial Lines. 5.2. Generalized Tic–Tac–Toe Game. 5.3. The Hales–Jewett Theorem. 5.4. Exercises. 6. Happy End Problem. 6.1. The Happy End Problem: Triangles, Quadrilaterals, and Pentagons. 6.2. The Happy End Problem – General Case. 6.3. Erdős–Szekeres’ Upper and Lower Bounds. 6.4. Progress on the Conjecture OF Erdős and Szekeres. 6.5. Exercises. 7. Solutions.
£87.39
Taylor & Francis Ltd Data Sketches Posters and Postcards
Book SynopsisTo celebrate Data Sketches'' 1-year anniversary, Nadieh Bremer and Shirley Wu have created an exclusive set of high-quality prints and postcards based on their bestselling dataviz book. The high-quality prints and postcards pack is also available in a discounted set including the book Data Sketches. The set ISBN is: 9781032303895.
£17.99
Taylor & Francis Ltd Mathematical Biology
Book SynopsisThis text serves as an exploration of the beautiful topic of mathematical biology through the lens of discrete and differential equations. Intended for students who have completed differential and integral calculus, Mathematical Biology: Discrete and Differential Equations allows students to explore topics such as bifurcation diagrams, nullclines, discrete dynamics, and SIR models for disease spread, which are often reserved for more advanced undergraduate or graduate courses. These exciting topics are sprinkled throughout the book alongside the more typical first- and second-order linear differential equations and systems of linear differential equations.This class-tested text is written in a conversational, welcoming voice, which should help invite students along as they discover the magic of mathematical biology and both discrete and differential equations. A focus is placed on examples with solutions written out step by step, including co
£74.99
Taylor & Francis Making Sense of Statistics
Book SynopsisMaking Sense of Statistics, Eighth Edition, is the ideal introduction to the concepts of descriptive and inferential statistics for students undertaking their first research project. It presents each statistical concept in a series of short steps, then uses worked examples and exercises to enable students to apply their own learning.It focuses on presenting the why, as well as the how of statistical concepts, rather than computations and formulas. As such, it is suitable for students from all disciplines regardless of mathematical background. Only statistical techniques that are almost universally included in introductory statistics courses, and widely reported in journals, have been included. This conceptual book is useful for all study levels, from undergraduate to doctoral level across disciplines. Once students understand and feel comfortable with the statistics presented in this book, they should find it easy to master additional statistical concepts.Table of ContentsIntroduction: What is Research?; Part A: The Research Context 1. The Empirical Approach to Knowledge 2. Types of Empirical Research 3. Scales of Measurement 4. Descriptive, Correlational, and Inferential Statistics; Part B: Sampling 5. Introduction to Sampling 6. Variations on Random Sampling 7. Sample Size 8. Standard Error of Mean and Central Limit Theorem; Part C: Descriptive Statistics 9. Frequencies, Percentages, and Proportions 10. Shapes of Distributions 11. The Mean: An Average 12. Mean, Median, and Mode 13. Range and Interquartile Range 14. Standard Deviation 15. Z Score; Part D: Correlational Statistics 16. Correlation 17. Pearson r 18. Scattergram 19. Coefficient of Determination 20. Multiple Correlation; Part E: Inferential Statistics 21. Introduction to Null Hypothesis 22. Decisions About the Null Hypothesis 23. Limits of Significance Testing and Practical Implications; Part F: Means Comparison 24. Introduction to the t Test 25. Independent Samples t Test 26. Dependent Samples t Test 27. One Sample t Test 28. Reporting the Results of t Tests: Display of Outcomes 29. One-Way ANOVA 30. Two-Way ANOVA; Part G: Predictive Significance 31. Chi-Square 32. Effect Size 33. Simple and Multiple Linear Regressions; Appendix A. Computations Appendix B. Notes on Interpreting Pearson r and Linear Regression Appendix C. Table of Random Numbers
£118.75
Taylor & Francis Ltd Finns Thermal Physics
Book SynopsisThis fully updated and expanded new edition continues to provide the most readable, concise, and easy-to-follow introduction to thermal physics.While maintaining the style of the original work, the book now covers statistical mechanics and incorporates worked examples systematically throughout the text. It also covers more problems, and incorporates some essential updates, such as discussions on superconductivity, magnetism, Bose-Einstein condensation, and climate change.Anyone who needs to acquire an intuitive understanding of thermodynamics from the first principles will find this third edition indispensable.Selling Pointsâ Provides the most concise and accessible introduction to thermodynamics starting from first principles, with many more worked examples and problems.â Incorporates statistical mechanics in two brand-new chapters.â Systematically incorporates more worked examples after introducing a new concept to show what the results mean numerically.â Continues to address the subtleties in a way unmatched by any other text, for topics such as the meaning of thermodynamic functions.â Offers a significant update on areas such as superconductivity, magnetism, Bose-Einstein condensation, climate change, and physics of information.Andrew Rex is a professor of physics at the University of Puget Sound in Tacoma, Washington. He earned a BA in physics at Illinois Wesleyan University in 1977 and a PhD in physics at the University of Virginia in 1982. At Virginia he worked under the direction of Bascom S. Deaver Jr on the development of new superconducting materials. After completing requirements for his PhD, he joined the faculty at Puget Sound. Dr Rexâs primary research interest is in the foundations of the second law of thermodynamics. He has published research articles and, jointly with Harvey Leff, two comprehensive monographs on the subject of Maxwellâs demon (1990, 2003). Dr Rex has coauthored several widely used textbooksâModern Physics for Scientists and Engineers (1993, 2000, 2006, 2013, 2021), Integrated Physics and Calculus (2000), and Essential College Physics (2010, 2021)âand the popular science book Commonly Asked Questions in Physics, also published by Taylor & Francis/CRC Press.
£52.24
Taylor & Francis Ltd People Skills for Behavior Analysts
Book SynopsisPeople Skills for Behavior Analysts provides a much-needed introduction to the people skills needed to succeed as a behavior analyst.Divided into two primary parts Foundational Skills and Specialized Skills this book addresses an impressive breadth of people skills, focusing on intrapersonal and interpersonal skills, collaboration, consultation and training, leadership, and resource development. Relying on recent evidence-based practices and relevant literature tailored to meet the new BACB Task List, Professional & Ethical Compliance Code, and Supervised Independent Fieldwork requirements, the text includes contributions from leading figures from a wide variety of applied behavior analysis subfields to provide a truly balanced overview. The book delves into the literature from fields related to behavior analysis, such as counselling, psychology, graphic design, management and education, and applies these perspectives to behavioral theories and principles to provide Table of ContentsPart I: Foundational Skills Chapter 1: Intrapersonal Skills 1.1 The Importance of Intrapersonal Skills for Behavior Analysts 1.2 The Discerning ABA Practitioner 1.3 Self-Care for Behavior Analysts: A guide to eating fewer doughnuts and taking more naps Chapter 2: Interpersonal Skills 2.1 20 Key Behaviors for Rapport Building 2.2 Cultural Competence in Communication 2.3 A Critical Look at Autism 2.4 Accepting Feedback Makes the World Go ‘Round: From Student to Practitioner 2.5 How to Teach Rapport Building Skills to Behavior Analysts Chapter 3: Collaboration 3.1 No More “Train And Train More”: A Functional, Contextual Approach to Collaboration with Families 3.2 Playing Nicely in the Interdisciplinary Sandbox: A How to Guide on Effective Collaboration with Various Professionals 3.3 Whose the King of the Castle? Collaborating with Educators and Schools as a Behavior Analyst 3.4 Overcoming the Aversive: Handling Difficult Conversations with Professionalism and Compassion 3.5 Running Efficient and Effective Meetings with Collaboration and Compassion Part 2: Specialized Skills Chapter 4: Consultation & Training 4.1 Don’t Blame the Mediator: Keeping Applied Behavior Analysis Doable for Best Possible Outcomes 4.2 Beyond the PowerPoint: Becoming an Engaging Presenter 4.3 Behavior Analyst as Changemaker: Science, Advocacy and Activism in Practice 4.4 Using Movement Education, Motor Learning, and Phenomenology to Inform Teaching Strategies in Other Professional Contexts Chapter 5: Leadership 5.1 It’s Not You, It’s Us: Fostering a Behavior Analytical Supervisor/Supervisee Relationship 5.2 People Skills for Behavior Analysis: Putting the Super in Your Supervisory Relationships 5.3 Giving Performance Feedback that Makes a Difference 5.4 Interviewing Strategies: Integrating Practices from Industrial/Organizational Psychology into Behavior Analysis for Successful Hiring Chapter 6: Innovative, Creative Ways to use ABA 6.1 Making Applied Behavior Analysis Accessible to Consumers 6.2 Telehealth to Implement Applied Behavior Analysis 6.3 You’re on mute! People skills behind the screens and behind the scenes 6.4 Making a Document People will Actually Read 6.5 A Trauma-Informed Approach to Behavior Analysis 6.6 Behavior analysts' skills for co-developing virtual reality game-based technologies as applied behavior analysis programs for autistic adults
£39.99
CRC Press Introduction to Enumerative and Analytic
Book SynopsisThese award-winning textbook targets the gap between introductory texts in discrete mathematics and advanced graduate texts in enumerative combinatorics. The authorâs goal is to make combinatorics more accessible to encourage student interest and to expand the number of students studying this rapidly expanding field. The book first deals with basic counting principles, compositions and partitions, and generating functions. It then focuses on the structure of permutations, graph enumeration, and extremal combinatorics. Lastly, the text discusses supplemental topics, including error-correcting codes, properties of sequences, and magic squares.Updates to the Third Edition include: Quick Check exercises at the end of each section, which are typically easier than the regular exercises at the end of each chapter. A new section discussing the Lagrange Inversion Formula and its applications, strengthening the analytic flavor of the book. A
£80.74
CRC Press Exploring Complex Survey Data Analysis Using R
Book SynopsisSurveys are powerful tools for gathering information, uncovering insights, and facilitating decision-making. However, to ensure the accurate interpretation of results, they require specific analysis methods. In this book, readers embark on an in-depth journey into conducting complex survey analysis with the {srvyr} package and tidyverse family of functions from the R programming language. Intended for intermediate R users familiar with the basics of the tidyverse, this book gives readers a deeper understanding of applying appropriate survey analysis techniques using {srvyr}, {survey}, and other related packages. With practical walkthroughs featuring real-world datasets, such as the American National Election Studies and Residential Energy Consumption Survey, readers will develop the skills necessary to perform impactful survey analysis on survey data collected through a randomized sample design. Additionally, this book teaches readers how to interpret and communicate results of surv
£64.59
CRC Press Performance Reliability and Availability
Book SynopsisThis textbook intends to be a comprehensive and substantially self-contained two-volume book covering performance, reliability, and availability evaluation subjects. The volumes focus on computing systems, although the methods may also be applied to other systems. The first volume covers Chapter 1 to Chapter 14, whose subtitle is ``Performance Modeling and Background. The second volume encompasses Chapter 15 to Chapter 25 and has the subtitle ``Reliability and Availability Modeling, Measuring and Workload, and Lifetime Data Analysis.This text is helpful for computer performance professionals for supporting planning, design, configuring, and tuning the performance, reliability, and availability of computing systems. Such professionals may use these volumes to get acquainted with specific subjects by looking at the particular chapters. Many examples in the textbook on computing systems will help them understand the concepts covered in each chapter. The text may also be helpful for the instructor who teaches performance, reliability, and availability evaluation subjects. Many possible threads could be configured according to the interest of the audience and the duration of the course. Chapter 1 presents a good number of possible courses programs that could be organized using this text.Volume II is composed of the last two parts. Part III examines reliability and availability modeling by covering a set of fundamental notions, definitions, redundancy procedures, and modeling methods such as Reliability Block Diagrams (RBD) and Fault Trees (FT) with the respective evaluation methods, adopts Markov chains, Stochastic Petri nets and even hierarchical and heterogeneous modeling to represent more complex systems. Part IV discusses performance measurements and reliability data analysis. It first depicts some basic measuring mechanisms applied in computer systems, then discusses workload generation. After, we examine failure monitoring and fault injection, and finally, we discuss a set of techniques for reliability and maintainability data analysis.
£52.65
CRC Press Combinatorial Optimization Under Uncertainty
Book SynopsisThis book discusses the basic ideas, underlying principles, mathematical formulations, analysis and applications of the different combinatorial problems under uncertainty and attempts to provide solutions for the same. Uncertainty influences the behaviour of the market to a great extent. Global pandemics and calamities are other factors which affect and augment unpredictability in the market. The intent of this book is to develop mathematical structures for different aspects of allocation problems depicting real life scenarios. The novel methods which are incorporated in practical scenarios under uncertain circumstances include the STAR heuristic approach, Matrix geometric method, Ranking function and Pythagorean fuzzy numbers, to name a few. Distinct problems which are considered in this book under uncertainty include scheduling, cyclic bottleneck assignment problem, bilevel transportation problem, multi-index transportation problem, retrial queuing, uncertain matrix games, optimalTable of ContentsPreface. About the Editors. Chapter 1 Estimation of Uncertainties for Multiserver Queuing Systems with Bernoulli Feedback. Chapter 2 Optimality for Fuzzy Transportation Problem under Ranking Method. Chapter 3 Solution of Bilevel Linear Fractional Transportation Problem with Pythagorean Fuzzy Numbers. Chapter 4 Optimal Production Evaluation of Cotton in Different Soil and Water Conditions in Sundarban of West Bengal under Hesitant Interval Fuzzy Environment Using Projection Measures. Chapter 5 A Novel Approach for Feature Detection in Vector Graphics. Chapter 6 On Uncertain Matrix Games Involving Linguistic Pythagorean Fuzzy Sets. Chapter 7 Cyclic Surgery Scheduling using Variations of Cohort Intelligence. Chapter 8 Cone Method for Uncertain Multiobjective Optimization Problems with Minmax Robustness. Chapter 9 Solving Multi-Index Transportation Problem with Axial Constraints Having Impaired Flow. Chapter 10 STAR Heuristic Method: A Novel Approach and Its Comparative Analysis with CI Algorithm to Solve CBAP in Healthcare. Chapter 11 Development and Optimization of Quadratic Programming Problems with Intuitionistic Fuzzy Parameters. Index
£74.99
Taylor & Francis Ltd Computer Vision
Book SynopsisComputer vision has made enormous progress in recent years, and its applications are multifaceted and growing quickly, while many challenges still remain. This book brings together a range of leading researchers to examine a wide variety of research directions, challenges, and prospects for computer vision and its applications.This book highlights various core challenges as well as solutions by leading researchers in the field. It covers such important topics as data-driven AI, biometrics, digital forensics, healthcare, robotics, entertainment and XR, autonomous driving, sports analytics, and neuromorphic computing, covering both academic and industry R&D perspectives. Providing a mix of breadth and depth, this book will have an impact across the fields of computer vision, imaging, and AI.Computer Vision: Challenges, Trends, and Opportunities covers timely and important aspects of computer vision and its applications, highlighting the challenges ahead and p
£120.00
Taylor & Francis Ltd Learning Advanced Python by Studying Open Source
Book SynopsisThis book is one of its own kind. It is not an encyclopedia or a hands-on tutorial that traps readers in the tutorial hell. It is a distillation of just one common Python user's learning experience. The experience is packaged with exceptional teaching techniques, careful dependence unraveling and, most importantly, passion.Learning Advanced Python by Studying Open Source Projects helps readers overcome the difficulty in their day-to-day tasks and seek insights from solutions in famous open source projects. Different from a technical manual, this book mixes the technical knowledge, real-world applications and more theoretical content, providing readers with a practical and engaging approach to learning Python.Throughout this book, readers will learn how to write Python code that is efficient, readable and maintainable, covering key topics such as data structures, algorithms, object-oriented programming and more. The author's passion for Python shines through in tTable of ContentsIntroductionChapter 1 ◾ The Data Model of PythonChapter 2 ◾ Selected Topics of Python ClassesChapter 3 ◾ Concurrency in PythonChapter 4 ◾ Asynchronous Programming in PythonChapter 5 ◾ Power Up Your Python FunctionsChapter 6 ◾ Selected OOP Design Best PracticesChapter 7 ◾ Testing in a Pistachio Shell
£42.74
Taylor & Francis Ltd HandsOn Data Analysis in R for Finance
Book SynopsisThe subject of this textbook is to act as an introduction to data science / data analysis applied to finance, using R and its most recent and freely available extension libraries. The targeted academic level is undergrad students with a major in data science and/or finance and graduate students, and of course practitioners or professionals who need a desk reference. Assumes no prior knowledge of R The content has been tested in actual university classes Makes the reader proficient in advanced methods such as machine learning, time series analysis, principal component analysis and more Gives comprehensive and detailed explanations on how to use the most recent and free resources, such as financial and statistics libraries or open database on the internet Table of Contents1. Your Working Environment 2. Reading Data in R 3. Financial Data 4. Introduction to R 5. Functions 6. Data Transformation 7. Merging Data Sets 8. Graphing Using Ggplot 9. Returns and Returns-based Statistics 10. Portfolios 11. Modeling Returns and Simulations 12. Linear and Polynomial Regression 13. Fixed Income 14. Principal Component Analysis 15. Options 16. Value at Risk 17. Time Series Analysis 18. Machine Learning 19. Presenting the Results of Your Analyses 20. Appendix: Main Packages Seen in this Book
£73.14
Taylor & Francis Ltd Digital Image Processing with C
Book SynopsisDigital Image Processing with C++: Implementing Reference Algorithms with the CImg Library presents the theory of digital image processing and implementations of algorithms using a dedicated library. Processing a digital image means transforming its content (denoising, stylizing, etc.), or extracting information to solve a given problem (object recognition, measurement, motion estimation, etc.). This book presents the mathematical theories underlying digital image processing, as well as their practical implementation through examples of algorithms implemented in the C++ language using the free and easy-to-use CImg library.Chapters cover the field of digital image processing in a broad way and propose practical and functional implementations of each method theoretically described. The main topics covered include filtering in spatial and frequency domains, mathematical morphology, feature extraction and applications to segmentation, motion estimation, multispecTable of ContentsI INTRODUCTION TO Clmg1. Introduction. 2. Getting Started With the CImg Library. 2.1 Objective: subdivide an image into blocks. 2.2 Setup and first program. 2.3 Computing the variations. 2.4 Computing the block decomposition. 2.5 Rendering of the decomposition. 2.6 Interactive visualization. 2.7 Final source code II IMAGE PROCESSING USING CImg3. Point Processing Transformations. 3.1 Image operations. 3.2 Histogram operations. 4. Mathematical Morphology. 4.1 Binary images. 4.2 Gray-level images. 4.3 Some applications. 5. Filtering. 5.1 Spatial filtering. 5.2 Recursive filtering. 5.3 Frequency filtering. 5.4 Diffusion filtering. 6. Feature Extraction. 6.1 Points of interest. 6.2 Hough transform. 6.3 Texture features. 7. Segmentation. 7.1 Edge-based approaches. 7.2 Region-based approaches. 8. Motion Estimation. 8.1 Optical flow: dense motion estimation. 8.2 Sparse estimation. 9. Multispectral Approaches. 9.1 Dimension reduction. 9.2 Color imaging. 10. 3D Visualisation. 10.1 Structuring of 3D mesh objects. 10.2 3D plot of a function z = f (x;y). 10.3 Creating complex 3D objects. 10.4 Visualization of a cardiac segmentation in MRI. 11. And So Many Other Things. 11.1 Compression by transform (JPEG). 11.2 Tomographic reconstruction. 11.3 Stereovision. 11.4 Interactive deformation using RBF. List of CImg Codes.References.Index.
£37.99
Taylor & Francis The Psychology of Slow Living
Book SynopsisThis fascinating book explores the concept of slow living, offering a philosophical and psychological exploration of the need for a slower pace of life. It advocates for reclaiming and rediscovering more natural and human ways of being.In a digital age, which is dominated by an increasingly tyrannical trinity of speed, efficiency and productivity, the author challenges the pernicious ideal of instant gratification, perpetuated by modern consumer culture. This book examines alternative ways of being through re-examining the Wisdom Traditions of Hinduism, Buddhism, Daoism and Judaism through an ongoing and engaging dialogue with psychology and psychotherapy, including insights from environmental psychology, ecopsychology and cyberpsychology. The book argues against the trend for personal responsibility, adaptability and resilience, and the idea that stress is the new normal.' Instead, it proposes a radical shift in paradigm, promoting not for collectively rising up and ove
£35.14
Taylor & Francis Ltd Machine Learning for the Physical Sciences
Book SynopsisMachine learning is an exciting topic with a myriad of applications. However, most textbooks are targeted towards computer science students. This, however, creates a complication for scientists across the physical sciences that also want to understand the main concepts of machine learning and look ahead to applica- tions and advancements in their fields.This textbook bridges this gap, providing an introduction to the mathematical foundations for the main algorithms used in machine learning for those from the physical sciences, without a formal background in computer science. It demon- strates how machine learning can be used to solve problems in physics and engineering, targeting senior undergraduate and graduate students in physics and electrical engineering, alongside advanced researchers.All codes are available on the author''s website: CLab (nau.edu)They areTable of ContentsChapter 1: Multivariate Calculus. Chapter 2: Probability Theory. Chapter 3: Dimensionality Reduction. Chapter 4: Cluster Analysis. Chapter 5: Vector Quantization Techniques. Chapter 6: Regression Models. Chapter 7: Classification. Chapter 8: Feedforward Networks. Chapter 9: Advanced Network Architectures. Chapter 10: Value Methods. Chapter 11: Gradient Methods. Chapter 12: Population-Based Metaheuristic Methods. Chapter 13: Local Search methods. Appendix A: Sufficient Statistic. Appendix B: Graphs. Appendix C: Sequential Minimization Optimization. Appendix D: Algorithmic Differentiation. Appendix E: Batch Normalizing Transform. Appendix F: Divergence of Two Gaussian Distributions. Appendix G: Continuous-time Bellman's Equation. Appendix H: Conjugate Gradient. Appendix I: Importance Sampling. References. Index.
£63.64
Taylor & Francis Ltd Heat Exchanger Design Handbook ThreeVolume Set
a huge range and FREE tracked UK delivery on ALL orders.
£450.00
Taylor & Francis Ltd Systems Medicine
Book SynopsisWhy do we get certain diseases, whereas other diseases do not exist?In this book, Alon, one of the founders of systems biology, builds a foundation for systems medicine.Starting from basic laws, the book derives why physiological circuits are built the way they are. The circuits have fragilities that explain specific diseases and offer new strategies to treat them.By the end, the reader will be able to use simple and powerful mathematical models to describe physiological circuits. The book explores, in three parts, hormone circuits, immune circuits, and aging and age-related disease. It culminates in a periodic table of diseases.Alon writes in a style accessible to a broad range of readers - undergraduates, graduates, or researchers from computational or biological backgrounds. The level of math is friendly and the math can even be bypassed altogether. For instructors and readers who want to go deeper, the book includes dozens of exercises that have been Trade Review"Systems Medicine is a masterpiece. Written in a conversational style, it invites us to think about health and disease in a profoundly simple new way. From the secrets of aging to the enigma of autoimmune diseases, Uri Alon uses physiological circuits and the principles that underlie them to illuminate how our bodies work, why specific diseases occur, and what strategies might be used to treat them. Whether you're a curious mind, a biology enthusiast, or just someone excited to understand the magnificent orchestra of life, this book has something extraordinary to offer. To my mind, it’s nothing short of revolutionary."—Steven Strogatz, Cornell University, USA, author of Nonlinear Dynamics and Chaos"Uri Alon has once again opened our eyes to a new frontier of quantitative thinking, this time applied to medicine. Systems Medicine is a masterpiece of clear interdisciplinary exposition, suitable for interested students and researchers with minimal mathematical or physiological background. Its inspiring narrative, accompanied by engaging exercises, explains how the recent application of dynamical systems methods to diabetes, stress, ageing, and autoimmune disorders resolves long-standing puzzles in medicine. This book is destined to be as influential as his earlier Systems Biology, along with potentially important impacts on human health."—Nigel Goldenfeld, University of California San Diego, USA"This unique book will benefit an unusually broad range of students, scientists, and medical professionals. If you have a background in math, physics, or engineering, you will learn key concepts in physiology and medicine presented in the familiar language of dynamical systems. If your background is in biomedical sciences, you will learn how to build and employ powerful mathematical models to unveil hidden patterns behind disease vulnerabilities. Either way, Uri Alon will masterfully guide you to new insights into the underlying logic of physiological systems and their susceptibility to diseases."—Ruslan Medzhitov, Yale University, USA"This book will be as influential and transformative as Alon’s Systems Biology. Its quantitative approach provides new insight into the mechanisms that underline common diseases. It should be of interest to students and researchers in medicine, biology, and engineering. It will introduce quantitative analysis to medical students, interesting medical problems to engineers, and catalyze a new synthesis of “systems medicine”. Alon is a pioneer and leading expert in systems biology. He is now pioneering a new field with this book."—Liqun Luo, Stanford University, USA"This book is a paradigm-shifting journey elegantly guiding readers to perceive health and disease through a new lens. By weaving together multiple disciplines, from mathematics to biology and medicine, Alon paints a vivid picture of how our understanding of biological networks and their dynamics can revolutionize medical approaches. Using simple concepts coupled with real-world examples, the book offers a comprehensive exploration of physiological circuits and exemplifies the practical applications of Systems Medicine. With insightful clarity, Alon distills intricate scientific concepts into digestible insights, making this book accessible to both seasoned researchers and curious minds new to the field."—Galit Lahav, Harvard University, USA“Uri Alon does an excellent job of introducing physiological concepts and mathematical tools in a precise yet friendly manner. The biological examples are relevant, spanning from the dynamic modelling of insulin-glucose to ageing. Together with a captivating and never boring style, they bring to life the complex and fascinating world of Systems Medicine. The exercises at the end of the chapters are an added bonus, allowing the reader to practice and reflect on biological and mathematical problems. Overall, this book is a welcome introduction to the basic principles of Systems Medicine.”—Edoardo Saccenti, Wageningen University & Research, The NetherlandsPraise for An Introduction to Systems Biology: Design Principles of Biological Circuits"…a superb, beautifully written and organized work that takes an engineering approach to systems biology. … He does an excellent job of explaining and motivating a useful toolbox of engineering models and methods using network-based controls. … a valuable and non-overlapping addition to a systems-biology curriculum."—Eric Werner, University of Oxford, Nature, Vol. 446, No. 29, March 2007"I read Uri Alon’s elegant book almost without stopping for breath. He perceives and explains so many simple regularities, so clearly, that the novice reading this book can move on immediately to research literature, armed with a grasp of the many connections between diverse phenomena."—Philip Nelson, University of Pennsylvania, Philadelphia, USA"… Beyond simply recounting recent results, Alon boldly articulates the basic principles underlying biological circuitry at different levels and shows how powerful they can be in understanding the complexity of living cells. For anyone who wants to understand how a living cell works, but thought they never would, this book is essential."—Michael B. Elowitz, California Institute of Technology, Pasadena, USA"Uri Alon offers a highly original perspective on systems biology, emphasizing the function of certain simple networks that appear as ubiquitous building blocks of living matter. …"—Boris Shraiman, University of California, Santa Barbara, USA"Systems biology is based on the idea that engineered and evolved systems share common principles. Here, Alon (Weizmann Inst. of Science, Rehovot) elucidates three of the major principles... This book is a compendium of many different experiments. Together, they show that biological systems do obey these design principles."—P. Cull, Oregon State University, CHOICE connect (57:5, Jan 2020)"A very good book. Very well written, everything is clearly illustrated and presented. It makes a tough subject easy to follow."—Radu Angelescu, Senior Programmer at Ubisoft"Alon’s book is the ideal counterargument to the idea that organisms are inherently human-opaque: it directly demonstrates the human-understandable structures which comprise real biological systems."—LessWrong.comTable of ContentsIntroduction. Part I Hormone Circuits. Chapter 1 The Insulin-Glucose Circuit. Chapter 2 Dynamical Compensation, Mutant Resistance, and Type-2 Diabetes. Chapter 2.5 Three Laws of Physiology. Chapter 3 The Stress Hormone Axis as a Two-Gland Oscillator. Chapter 3.5 The Thyroid and Its Discontents. Part II Immune Circuits. Chapter 4 Autoimmune Diseases as a Fragility of Mutant Surveillance. Chapter 5 Inflammation and Fibrosis as a Bistable System. Chapter 6 Basic Facts of Aging. Chapter 7 Aging and Saturated Repair. Chapter 8 Age-Related Diseases. Chapter 9 Periodic Table of Diseases. EPILOGUE: SIMPLICITY IN SYSTEMS MEDICINE. ACKNOWLEDGMENTS. INDEX.
£52.24
Taylor & Francis Ltd R for Quantitative Chemistry
Book SynopsisR for Quantitative Chemistry is an exploration of how the R language can be applied to a wide variety of problems in what is typically termed "Quantitative Chemistry" or sometimes "Analytical Chemistry". This book will be based upon, in large part, actual experimental data.Table of Contents1. Intro to R 2. Data and Statistics 3. Beer’s Law and Linear Regression 4. Solving Equilibrium 5. Titrations 6. Binding Curves 7. Electrochemistry 8. Fourier Transform and Spectroscopy 9. R Kinetic Analysis 10. Reports in R Markdown
£51.29
Taylor & Francis Ltd Expanding Mathematical Toolbox Interweaving
Book SynopsisExpanding Mathematical Toolbox: Interweaving Topics, Problems, and Solutions offers several topics from different mathematical disciplines and shows how closely they are related. The purpose of this book is to direct the attention of readers who have an interest in and talent for mathematics to engaging and thought-provoking problems that should help them change their ways of thinking, entice further exploration and possibly lead to independent research and projects in mathematics. In spite of the many challenging problems, most solutions require no more than a basic knowledge covered in a high-school math curriculum.To shed new light on a deeper appreciation for mathematical relationships, the problems are selected to demonstrate techniques involving a variety of mathematical ideas. Included are some interesting applications of trigonometry, vector algebra and Cartesian coordinate system techniques, and geometrical constructions and inversion in solving mechanical engineering problems and in studying models explaining non-Euclidean geometries.This book is primarily directed at secondary school teachers and college professors. It will be useful in teaching mathematical reasoning because it emphasizes how to teach students to think creatively and strategically and how to make connections between math disciplines. The text also can be used as a resource for preparing for mathematics Olympiads. In addition, it is aimed at all readers who want to study mathematics, gain deeper understanding and enhance their problem-solving abilities. Readers will find fresh ideas and topics offering unexpected insights, new skills to expand their horizons and an appreciation for the beauty of mathematics.Trade ReviewThis is a collection of mathematical theory and exercises organized in chapters, each one devoted to a different topic (geometrical constructions, Euclidean vectors, inequalities, trigonometry, etc.). The format of each chapter is a general introduction about the topic including some theory followed by a, usually short, problem formulation, and an extensive discussion of the solution which may include more theory and proofs, triggering new exercises etc. Emphasis is on the interaction of topics that are usually treated separately in classical text books. The assumed mathematical knowledge of the reader is at the level of secondary schools or beginning university.The problems can look astonishingly difficult at first sight, baffling the reader. Applying straightforward methods, is usually not the way to solve them. The proposed solution may illustrate some clever trick that makes the problem easy to solve. So the problem formulation is supposed to trigger curiosity and stimulate to look for the appropriate key to crack it. The diversity of the topics and the kind of problems, gives it the allure of a puzzle book. Thinking outside the box and recognizing patterns is often more important than the mathematical prerequisites. The latter are provided anyway, including proofs, either in the solution or in the appendix. There are also excursions beyond the exercises, like for example a short introduction to non-Euclidean geometry.So this is an unusual mixture of theory and exercises. The latter are certainly not of the drilling type, some even reach the level of mathematical Olympiads. Most problems have some geometrical aspect, even the algebraic ones, because these problems are easier to understand by a general public. This implies that calculus and analysis are more in the background. It is an excellent book to prepare for mathematics Olympiads, and teachers may find here inspiration for their lessons.Reviewer: Adhemar Bultheel (Leuven)MSC:00A09Popularization of mathematics51-01Introductory exposition (textbooks, tutorial papers, etc.) pertaining to geometryKeywords:geometry; algebraic geometry; trigonometry; Euclidean vector space; puzzles; math Olympiad; inequalitiesThis is a collection of mathematical theory and exercises organized in chapters, each one devoted to a different topic (geometrical constructions, Euclidean vectors, inequalities, trigonometry, etc.). The format of each chapter is a general introduction about the topic including some theory followed by a, usually short, problem formulation, and an extensive discussion of the solution which may include more theory and proofs, triggering new exercises etc. Emphasis is on the interaction of topics that are usually treated separately in classical text books. The assumed mathematical knowledge of the reader is at the level of secondary schools or beginning university.The problems can look astonishingly difficult at first sight, baffling the reader. Applying straightforward methods, is usually not the way to solve them. The proposed solution may illustrate some clever trick that makes the problem easy to solve. So the problem formulation is supposed to trigger curiosity and stimulate to look for the appropriate key to crack it. The diversity of the topics and the kind of problems, gives it the allure of a puzzle book. Thinking outside the box and recognizing patterns is often more important than the mathematical prerequisites. The latter are provided anyway, including proofs, either in the solution or in the appendix. There are also excursions beyond the exercises, like for example a short introduction to non-Euclidean geometry.So this is an unusual mixture of theory and exercises. The latter are certainly not of the drilling type, some even reach the level of mathematical Olympiads. Most problems have some geometrical aspect, even the algebraic ones, because these problems are easier to understand by a general public. This implies that calculus and analysis are more in the background. It is an excellent book to prepare for mathematics Olympiads, and teachers may find here inspiration for their lessons.Reviewer: Adhemar Bultheel (Leuven)MSC:00A09Popularization of mathematics51-01Introductory exposition (textbooks, tutorial papers, etc.) pertaining to geometryKeywords:geometry; algebraic geometry; trigonometry; Euclidean vector space; puzzles; math Olympiad; inequalitiesTable of Contents1. Beauty in Mathematics. 2. Euclidean Constructions. 3. Inversion and its properties. 4. Using Geometry for Algebra. Classic Mean Averages’ geometrical interpretations. 5. Using Algebra for Geometry. 6. Trigonometrical explorations. 7. Euclidean Vectors. 8. Cartesian coordinates in problem solving. 9. Inequalities Wonderland. 10. Guess and Check game.
£45.99
Taylor & Francis Ltd Spreadsheet Problem Solving and Programming for
Book SynopsisSpreadsheet Problem Solving and Programming for Engineers and Scientists provides a comprehensive resource essential to a full understanding of modern spreadsheet skills needed for engineering and scientific computations.Beginning with the basics of spreadsheets and programming, this book builds on the authors' decades of experience teaching spreadsheets and programming to both university students and professional engineers and scientists. Following on from this, it covers engineering economics, key numerical methods, and applied statistics. Finally, this book details the Visual Basic for Applications (VBA) programming system that accompanies Excel.With each chapter including examples and a set of exercises, this book is an ideal companion for all engineering courses and also for self-study. Based on the latest version of Excel (Microsoft Excel for Microsoft 365), it is also compatible with earlier versions of Excel dating back to Version 2013. Including numerTable of ContentsChapter 1 Spreadsheet Basics Chapter 2 Charts and GraphsChapter 3 Engineering and Scientific FormulasChapter 4 Table-based CalculationsChapter 5 Case Studies and TargetingChapter 6 Financial CalculationsChapter 7 Numerical MethodsChapter 8 Applied StatisticsChapter 9 Introduction to VBA and MacrosChapter 10 User-defined FunctionsChapter 11 VBA ProgrammingChapter 12 User InterfacesAppendix A: Matrix Algebra ReviewAppendix B: Shortcut Keys and Key Combinations
£87.39
Taylor & Francis Ltd Control Basics for Mechatronics
Book SynopsisMechatronics is a mongrel, a crossbreed of classic mechanical engineering, the relatively young pup of computer science, the energetic electrical engineering, the pedigree mathematics and the bloodhound of Control Theory.All too many courses in control theory consist of a diet of Everything you could ever need to know about the Laplace Transform' rather than answering What happens when your servomotor saturates?' Topics in this book have been selected to answer the questions that the mechatronics student is most likely to raise.That does not mean that the mathematical aspects have been left out, far from it. The diet here includes matrices, transforms, eigenvectors, differential equations and even the dreaded z transform. But every effort has been made to relate them to practical experience, to make them digestible. They are there for what they can do, not to support pages of mathematical rigour that defines their origins.The theme running throughout the Table of Contents1. Why Do You Need Control Theory? 2. Modelling Time .3. A Simulation Environment 4. Step Length Considerations. 5. Modelling a Second-Order System .6. The Complication of Motor Drive Limits. 7. Practical Controller Design 8. Adding Dynamics to the Controller 9. Sensors and Actuators. 10. Analogue Simulation. 11. Matrix State Equations. 12. Putting It into Practice. 13. Observers 14. More about the Mathematics 15. Transfer Functions 16. Solving the State Equations 17. Discrete Time and the z Operator. 18. Root locus. 19. More about the Phase Plane. 20. Optimisation and an Experiment. 21. Problem Systems. 22. Final Comments.
£76.49
Taylor & Francis The Handbook of Communication Skills
The Handbook of Communication Skills is recognised as one of the core texts in the field of communication, offering a state-of-the-art overview of this rapidly evolving field of study.The fifth edition of this bestselling book situates communication in a range of different contexts, from interacting in groups to the counselling interview. It covers topics such as non-verbal behaviour, listening, negotiation, interacting in groups, and mentoring. This new edition has been fully revised and updated, and includes a brand new chapter on digitally mediated communications in social and working environments, as well as newly written chapters on humour and laughter in communication, and persuasion. Based on the core tenet that interpersonal communication can be conceptualised as a form of skilled activity, the book looks at core communication skills and how these can be applied in specific contexts, expertly combining theory with practice.This handbook provides a rich m
£56.99
Taylor & Francis Ltd Machine Learning Toolbox for Social Scientists
Book SynopsisMachine Learning Toolbox for Social Scientists covers predictive methods with complementary statistical tools that make it mostly self-contained. The inferential statistics is the traditional framework for most data analytics courses in social science and business fields, especially in Economics and Finance. The new organization that this book offers goes beyond standard machine learning code applications, providing intuitive backgrounds for new predictive methods that social science and business students can follow. The book also adds many other modern statistical tools complementary to predictive methods that cannot be easily found in econometrics textbooks: nonparametric methods, data exploration with predictive models, penalized regressions, model selection with sparsity, dimension reduction methods, nonparametric time-series predictions, graphical network analysis, algorithmic optimization methods, classification with imbalanced data, and many others. This book is targTable of Contents1. How We Define Machine Learning 2. Preliminaries Part 1. Formal Look at Prediction 3. Bias-Variance Tradeoff 4. Overfitting Part 2. Nonparametric Estimations 5. Parametric Estimations 6. Nonparametric Estimations - Basics 7. Smoothing 8. Nonparametric Classifier - kNN Part 3. Self-learning 9. Hyperparameter Tuning 10. Tuning in Classification 11. Classification Example Part 4. Tree-based Models 12. CART 13. Ensemble Learning 14. Ensemble Applications Part 5. SVM & Neural Networks 15. Support Vector Machines 16. Artificial Neural Networks Part 6. Penalized Regressions 17. Ridge 18. Lasso 19. Adaptive Lasso 20. Sparsity Part 7. Time Series Forecasting 21. ARIMA models 22. Grid Search for Arima 23. Time Series Embedding 24. Random Forest with Times Series 25. Recurrent Neural Networks Part 8. Dimension Reduction Methods 26. Eigenvectors and eigenvalues 27. Singular Value Decomposition 28. Rank r approximations 29. Moore-Penrose Inverse 30. Principle Component Analysis 31. Factor Analysis Part 9. Network Analysis 32. Fundamentals 33. Regularized Covariance Matrix Part 10. R Labs 34. R Lab 1 Basics 35. R Lab 2 Basics II 36. Simulations in R 37. Algorithmic Optimization 38. Imbalanced Data
£69.29
Taylor & Francis Ltd Partial Differential Equations
Book SynopsisPartial Differential Equations: Analytical Methods and Applications covers all the basic topics of a Partial Differential Equations (PDE) course for undergraduate students or a beginners' course for graduate students. It provides qualitative physical explanation of mathematical results while maintaining the expected level of it rigor. This text introduces and promotes practice of necessary problem-solving skills. The presentation is concise and friendly to the reader. The teaching-by-examples approach provides numerous carefully chosen examples that guide step-by-step learning of concepts and techniques. Fourier series, Sturm-Liouville problem, Fourier transform, and Laplace transform are included. The book's level of presentation and structure is well suited for use in engineering, physics and applied mathematics courses. Highlights: Table of Contents Introduction Basic definitions Examples First-order equations Linear first-order equations General solution Initial condition Quasilinear first-order equations Characteristic curves Examples Second-order equations Classification of second-order equations Canonical forms Hyperbolic equations Elliptic equations Parabolic equations The Sturm-Liouville Problem General consideration Examples of Sturm-Liouville Problems One-Dimensional Hyperbolic Equations Wave Equation Boundary and Initial Conditions Longitudinal Vibrations of a Rod and Electrical Oscillations Rod oscillations: Equations and boundary conditions Electrical Oscillations in a Circuit Traveling Waves: D'Alembert Method Cauchy problem for nonhomogeneous wave equation D'Alembert's formula The Green's function Well-posedness of the Cauchy problem Finite intervals: The Fourier Method for Homogeneous Equations The Fourier Method for Nonhomogeneous Equations The Laplace Transform Method: simple cases Equations with Nonhomogeneous Boundary Conditions The Consistency Conditions and Generalized Solutions Energy in the Harmonics Dispersion of waves Cauchy problem in an infinite region Propagation of a wave train One-Dimensional Parabolic Equations Heat Conduction and Diffusion: Boundary Value Problems Heat conduction Diffusion equation One-dimensional parabolic equations and initial and boundary conditions The Fourier Method for Homogeneous Equations Nonhomogeneous Equations The Green's function and Duhamel's principle The Fourier Method for Nonhomogeneous Equations with Nonhomogeneous Boundary Conditions Large time behavior of solutions Maximum principle The heat equation in an infinite region Elliptic equations Elliptic differential equations and related physical problems Harmonic functions Boundary conditions Example of an ill-posed problem Well-posed boundary value problems Maximum principle and its consequences Laplace equation in polar coordinates Laplace equation and interior BVP for circular domain Laplace equation and exterior BVP for circular domain Poisson equation: general notes and a simple case Poisson Integral Application of Bessel functions for the solution of Poisson equations in a circle Three-dimensional Laplace equation for a cylinder Three-dimensional Laplace equation for a ball Axisymmetric case Non-axisymmetric case BVP for Laplace Equation in a Rectangular Domain The Poisson Equation with Homogeneous Boundary Conditions Green's function for Poisson equations Homogeneous boundary conditions Nonhomogeneous boundary conditions Some other important equations Helmholtz equation Schrӧdinger equation Two Dimensional Hyperbolic Equations Derivation of the Equations of Motion Boundary and Initial Conditions Oscillations of a Rectangular Membrane The Fourier Method for Homogeneous Equations with Homogeneous Boundary Conditions The Fourier Method for Nonhomogeneous Equations with Homogeneous Boundary Conditions The Fourier Method for Nonhomogeneous Equations with Nonhomogeneous Boundary Conditions Small Transverse Oscillations of a Circular Membrane The Fourier Method for Homogeneous Equations with Homogeneous Boundary Conditions Axisymmetric Oscillations of a Membrane The Fourier Method for Nonhomogeneous Equations with Homogeneous Boundary Conditions Forced Axisymmetric Oscillations The Fourier Method for Equations with Nonhomogeneous Boundary Conditions Two-Dimensional Parabolic Equations Heat Conduction within a Finite Rectangular Domain The Fourier Method for the Homogeneous Heat Equation (Free Heat Exchange) The Fourier Method for Nonhomogeneous Heat Equation with Homogeneous Boundary conditions Heat Conduction within a Circular Domain The Fourier Method for the Homogeneous Heat Equation The Fourier Method for the Nonhomogeneous Heat Equation Heat conduction in an Infinite Medium Heat Conduction in a Semi-Infinite Medium Nonlinear equations Burgers equation Kink solution Symmetries of the Burgers equation General solution of the Cauchy problem. Interaction of kinks Korteweg-de Vries equation Symmetry properties of the KdV equation Cnoidal waves Solitons Bilinear formulation of the KdV equation Hirota's method Multisoliton solutions Nonlinear Schrӧdinger equation Symmetry properties of NSE Solitary waves Appendix A. Fourier Series, Fourier and Laplace Transforms Appendix B. Bessel and Legendre Functions Appendix C. Sturm-Liouville problem and auxiliary functions for one and two dimensions Appendix D. D1. The Sturm-Liouville problem for a circle D2. The Sturm-Liouville problem for the rectangle Appendix E. E1. The Laplace and Poisson equations for a rectangular domain with nonhomogeneous boundary conditions. E2. The heat conduction equations with nonhomogeneous boundary conditions.
£43.99
Taylor & Francis Ltd Lessons in Play
Book SynopsisThis second edition of Lessons in Play reorganizes the presentation of the popular original text in combinatorial game theory to make it even more widely accessible. Starting with a focus on the essential concepts and applications, it then moves on to more technical material. Still written in a textbook style with supporting evidence and proofs, the authors add many more exercises and examples and implement a two-step approach for some aspects of the material involving an initial introduction, examples, and basic results to be followed later by more detail and abstract results.Features Employs a widely accessible style to the explanation of combinatorial game theory Contains multiple case studies Expands further directions and applications of the field IncluTrade Review"The wisdom and joy outshining from this 2nd edition, beat even the original. The helpful preludes for student and instructor, prefacing each chapter, have elevated subtly in additional reader-friendliness; new subsections and a new case study were added. An interesting new Chapter 10 trades complex yet complete computation of a game’s strategy, with a simplified slightly approximate winning strategy. The last chapter, which awards the reader with a flavor of cutting edge research, was updated with a section on scoring games. The book is a must for novice and expert alike." —Aviezri Fraenkel, Weizmann Institute of Science, Israel "In this second edition of Lessons in Play, the authors have corrected errors, updated the bibliography, and added a new chapter on trimming game trees. Like the first edition, this new edition is beautifully typeset and illustrated." —Brian Borchers, Editor, MAA Reviews In this second edition of Lessons in Play: An Introduction to Combinatorial Game Theory, authors Albert , Nowakowski, and White provide a reorganized text presenting a variety of two-player finite games, discussed in theory as well as application. The theoretical material is presented in a clear and concise theorem/proof format and includes problems and exercises to aid readers’ understanding. Solutions are provided at the end of the book. Multiple examples from actual games are provided throughout, including Boxcars, Clobber, Cutthroat, Dots and Boxes, Hackenbush, and Toppling Dominoes. Throughout the text, the authors also provide in-depth case studies on specific games. A unique feature of this book is that each chapter begins by presenting a series of “prep problems” with notes to the instructor so students can preview the material prior to reading the chapter. Overall, this book is an excellent beginning read for anyone interested in learning about combinatorial games, assuming at least some background in abstract algebra. —S. L. Sullivan, Catawba College Praise for the previous edition This is an excellent introductory book to beginning game theory, written in an easily understandable manner yet advanced enough not to be considered trivial.—Books Online, July 2007 The first book to present combinatorial game theory in the form of a textbook suitable for students at the advanced undergraduate level … The authors state and prove theorems in a rigorous fashion [and] the presentation is enlivened with many concrete examples … an outstanding textbook … It will also be of interest to more advanced readers who want an introduction to combinatorial game theory.—Brian Borchers, June 2007 The theory is accessible to any student who has a smattering of general algebra and discrete math. Generally, a third year college student, but any good high school student should be able to follow the development with a little help.—Sir Read a Lot, May 2007 Lessons in Play is an enticing introduction to the wonderful world of combinatorial games. Using a rich collection of cleverly captivating examples and problems, the authors lead the reader through the basic concepts and on to several innovative extensions. I highly recommend this book.—Elwyn R. Berlekamp A neat machine, converting novices into enthusiastic experts in modern combinatorial game theory.—Aviezri Fraenkel Combinatorial games are intriguing, challenging, and often counter-intuitive, and are rapidly being recognized as an important mathematical discipline. Now that we have the attractive and friendly text Lessons in Play in hand, we can look forward to the appearance of many popular upper-division undergraduate courses, which encourage instructors to learn alongside their students.—Richard K. Guy … If you have Winning Ways, you must have this book.—Andy Liu "The wisdom and joy outshining from this 2nd edition, beat even the original. The helpful preludes for student and instructor, prefacing each chapter, have elevated subtly in additional reader-friendliness; new subsections and a new case study were added. An interesting new Chapter 10 trades complex yet complete computation of a game’s strategy, with a simplified slightly approximate winning strategy. The last chapter, which awards the reader with a flavor of cutting edge research, was updated with a section on scoring games. The book is a must for novice and expert alike." —Aviezri Fraenkel, Weizmann Institute of Science, Israel "In this second edition of Lessons in Play, the authors have corrected errors, updated the bibliography, and added a new chapter on trimming game trees. Like the first edition, this new edition is beautifully typeset and illustrated." —Brian Borchers, Editor, MAA Reviews In this second edition of Lessons in Play: An Introduction to Combinatorial Game Theory, authors Albert , Nowakowski, and White provide a reorganized text presenting a variety of two-player finite games, discussed in theory as well as application. The theoretical material is presented in a clear and concise theorem/proof format and includes problems and exercises to aid readers’ understanding. Solutions are provided at the end of the book. Multiple examples from actual games are provided throughout, including Boxcars, Clobber, Cutthroat, Dots and Boxes, Hackenbush, and Toppling Dominoes. Throughout the text, the authors also provide in-depth case studies on specific games. A unique feature of this book is that each chapter begins by presenting a series of “prep problems” with notes to the instructor so students can preview the material prior to reading the chapter. Overall, this book is an excellent beginning read for anyone interested in learning about combinatorial games, assuming at least some background in abstract algebra. —S. L. Sullivan, Catawba College Praise for the previous edition This is an excellent introductory book to beginning game theory, written in an easily understandable manner yet advanced enough not to be considered trivial.—Books Online, July 2007 The first book to present combinatorial game theory in the form of a textbook suitable for students at the advanced undergraduate level … The authors state and prove theorems in a rigorous fashion [and] the presentation is enlivened with many concrete examples … an outstanding textbook … It will also be of interest to more advanced readers who want an introduction to combinatorial game theory.—Brian Borchers, June 2007 The theory is accessible to any student who has a smattering of general algebra and discrete math. Generally, a third year college student, but any good high school student should be able to follow the development with a little help.—Sir Read a Lot, May 2007 Lessons in Play is an enticing introduction to the wonderful world of combinatorial games. Using a rich collection of cleverly captivating examples and problems, the authors lead the reader through the basic concepts and on to several innovative extensions. I highly recommend this book.—Elwyn R. Berlekamp A neat machine, converting novices into enthusiastic experts in modern combinatorial game theory.—Aviezri Fraenkel Combinatorial games are intriguing, challenging, and often counter-intuitive, and are rapidly being recognized as an important mathematical discipline. Now that we have the attractive and friendly text Lessons in Play in hand, we can look forward to the appearance of many popular upper-division undergraduate courses, which encourage instructors to learn alongside their students.—Richard K. Guy … If you have Winning Ways, you must have this book.—Andy Liu Table of ContentsCombinatorial Games 0.1 Basic Terminology Problems 1 Basic Techniques 1.1 Greedy 1.2 Symmetry 1.3 Parity 1.4 Give Them Enough Rope! 1.5 Strategy Stealing 1.6 Change the Game! 1.7 Case Study: Long Chains in Dots & Boxes Problems 2 Outcome Classes 2.1 Outcome Functions 2.2 Game Positions and Options 2.3 Impartial Games: Minding Your Ps and Ns 2.4 Case Study: Roll The Lawn 2.5 Case Study: Timber 2.6 Case Study: Partizan Endnim Problems 3 Motivational Interlude: Sums of Games 3.1 Sums 3.2 Comparisons 3.3 Equality and Identity 3.4 Case Study: Domineering Rectangles Problems 4 The Algebra of Games 4.1 The Fundamental Definitions 4.2 Games Form a Group with a Partial Order 4.3 Canonical Form 4.4 Case Study: Cricket Pitch 4.5 Incentives Problems 5 Values of Games 5.1 Numbers 5.2 Case Study: Shove 5.3 Stops 5.4 A Few All-Smalls: Up, Down, and Stars 5.5 Switches 5.6 Case Study: Elephants & Rhinos 5.7 Tiny and Miny 5.8 Toppling Dominoes 5.9 Proofs of Equivalence of Games and Numbers Problems 6 Structure 6.1 Games Born by Day 2 6.2 Extremal Games Born By Day n 6.3 More About Numbers 6.4 The Distributive Lattice of Games Born by Day n 6.5 Group Structure Problems 7 Impartial Games 7.1 A Star-Studded Game 7.2 The Analysis of Nim 7.3 Adding Stars 7.4 A More Succinct Notation 7.5 Taking-and-Breaking Games 7.6 Subtraction Games 7.7 Keypad Games Problems 8 Hot Games 8.1 Comparing Games and Numbers 8.2 Coping with Confusion 8.3 Cooling Things Down 8.4 Strategies for Playing Hot Games 8.5 Norton Products Problems 9 All-Small Games 9.1 Cast of Characters 9.2 Motivation: The Scale of Ups 9.3 Equivalence Under 9.4 Atomic Weight 9.5 All-Small Shove 9.6 More Toppling Dominoes 9.7 Clobber Problems 10 Trimming Game Trees 10.1 Introduction 10.2 Reduced Canonical Form 10.3 Hereditary-Transitive Games 10.4 Ordinal Sum 10.5 Stirling-Shave 10.6 Even More Toppling Dominoes Problems Further Directions 1 Transfinite Games 2 Algorithms and Complexity 3 Loopy Games 4 Kos: Repeated Local Positions 5 Top-Down Thermography 6 Enriched Environments 7 Idempotents 8 Mis`ere Play 9 Scoring Games A Top-Down Induction A.1 Top-Down Induction A.2 Examples
£43.99
CRC Press Cryptography
Book SynopsisThrough three editions, Cryptography: Theory and Practice, has been embraced by instructors and students alike. It offers a comprehensive primer for the subjectâs fundamentals while presenting the most current advances in cryptography.The authors offer comprehensive, in-depth treatment of the methods and protocols that are vital to safeguarding the seemingly infinite and increasing amount of information circulating around the world.Key Features of the Fourth Edition: New chapter on the exciting, emerging new area of post-quantum cryptography (Chapter 9). New high-level, nontechnical overview of the goals and tools of cryptography (Chapter 1). New mathematical appendix that summarizes definitions and main results on number theory and algebra (Appendix A). An expanded treatment of stream ciphers, incluTable of ContentsIntroduction to Cryptography. Classical Cryptography. Shannon's Theory, Perfect Secrecy and the One-Time Pad. Block Ciphers and Stream Ciphers. Hash Functions and Message Authentication. The RSA Cryptosystem and Factoring Integers. Public-Key Cryptography and Discrete Logarithms. Post-quantum Cryptography. Identification Schemes and Entity Authentication. Key Distribution. Key Agreement Schemes. Miscellaneous Topics. Appendix A: Number Theory and Algebraic Concepts for Cryptography, Appendix B: Pseudorandom Bit Generation for Cryptography.
£999.99
Taylor & Francis Ltd An Introduction to Number Theory with
Book SynopsisBuilding on the success of the first edition, An Introduction to Number Theory with Cryptography, Second Edition, increases coverage of the popular and important topic of cryptography, integrating it with traditional topics in number theory. The authors have written the text in an engaging style to reflect number theory''s increasing popularity. The book is designed to be used by sophomore, junior, and senior undergraduates, but it is also accessible to advanced high school students and is appropriate for independent study. It includes a few more advanced topics for students who wish to explore beyond the traditional curriculum.Features of the second edition include Over 800 exercises, projects, and computer explorations Increased coverage of cryptography, including Vigenere, Stream, Transposition,and BlockTrade Review"… provides a fine history of number theory and surveys its applications. College-level undergrads will appreciate the number theory topics, arranged in a format suitable for any standard course in the topic, and will also appreciate the inclusion of many exercises and projects to support all the theory provided. In providing a foundation text with step-by-step analysis, examples, and exercises, this is a top teaching tool recommended for any cryptography student or instructor."—California Bookwatch Table of Contents20 1. Introduction; 2 Divisibility; 3. Linear Diophantine Equations; 4. Unique Factorization; 5. Applications of Unique Factorization; 6. Conguences; 7. Classsical Cryposystems; 8. Fermat, Euler, Wilson; 9. RSA; 10. Polynomial Congruences; 11. Order and Primitive Roots; 12. More Cryptographic Applications; 13. Quadratic Reciprocity; 14. Primality and Factorization; 15. Geometry of Numbers; 16. Arithmetic Functions; 17. Continued Fractions; 18. Gaussian Integers; 19. Algebraic Integers; 20. Analytic Methods, 21. Epilogue: Fermat's Last Theorem; Appendices; Answers and Hints for Odd-Numbered Exercises; Index
£43.99
Taylor & Francis Ltd Sports Math
Book SynopsisCan you really keep your eye on the ball? How is massive data collection changing sports?Sports science courses are growing in popularity. The author's course at Roanoke College is a mix of physics, physiology, mathematics, and statistics. Many students of both genders find it exciting to think about sports. Sports problems are easy to create and state, even for students who do not live sports 24/7. Sports are part of their culture and knowledge base, and the opportunity to be an expert on some area of sports is invigorating. This should be the primary reason for the growth of mathematics of sports courses: the topic provides intrinsic motivation for students to do their best work.From the Author:The topics covered in Sports Science and Sports Analytics courses vary widely. To use a golfing analogy, writing a book like this is like hitting a drive at a driving range; there are many Trade ReviewThe book is written at a level that is accessible to a large audience. It contains a small number of applications that make use of calculus; otherwise, only a high school level mathematics background is required. Furthermore, one can easily skip over those sections that require calculus and still have plenty of accessible material to read.Sports Math is well written and easy to read. The book should appeal to anyone interested in the quantitative aspects of athletics. Each chapter of the books ends with a fairly large number of exercises and also pointers to further reading. Thus, the book could be used not only as a textbook for a course but also as a nice resource for student projects.~Mathematical Reviews, 2017Minton presents a textbook based on the current status of a sport science course that has evolved since he began teaching it in 1988. He offers a sample of topics that he knows something about and finds interesting, and hopes that instructors and students will find the book useful. His topics are projectile motion, rotational motion, sports illusions, collisions, ratings systems, voting systems, saber- and other metrics, randomness in sports, sports strategies, and big data and beyond.~ProtoView, 2017 This work discusses how mathematics is used to analyze popular American sports like football, baseball, and basketball. Minton (mathematics, Roanoke College) has based this book on several of his undergraduate courses. The book covers two major aspects: the physics involved in sports (e.g., the motion of a ball) and the statistics used to make probabilistic ratings of performance and success. The beginning chapters consider topics from mechanics, such as “Projectile Motion,” “Rotational Motion,” and “Collisions.” The rest of the text is devoted to statistics used in sports ratings and analysis, with many examples from specific games played in the big leagues or by major colleges. The material covered is selective and quirky; the level of analytical mathematics and statistics ranges from simple to advanced, including calculus, matrixes, and game theory. Each chapter has solved examples and end-of-chapter questions, problems, and suggestions for projects. There are pictures and graphs interspersed throughout the text. The book is not suitable as a standard text in any conventional course—it will best serve as a supplement.--N. Sadanand, Central Connecticut State University 2018The book is written at a level that is accessible to a large audience. It contains a small number of applications that make use of calculus; otherwise, only a high school level mathematics background is required. Furthermore, one can easily skip over those sections that require calculus and still have plenty of accessible material to read.Sports Math is well written and easy to read. The book should appeal to anyone interested in the quantitative aspects of athletics. Each chapter of the books ends with a fairly large number of exercises and also pointers to further reading. Thus, the book could be used not only as a textbook for a course but also as a nice resource for student projects.~Mathematical Reviews, 2017Minton presents a textbook based on the current status of a sport science course that has evolved since he began teaching it in 1988. He offers a sample of topics that he knows something about and finds interesting, and hopes that instructors and students will find the book useful. His topics are projectile motion, rotational motion, sports illusions, collisions, ratings systems, voting systems, saber- and other metrics, randomness in sports, sports strategies, and big data and beyond.~ProtoView, 2017This work discusses how mathematics is used to analyze popular American sports like football, baseball, and basketball. Minton (mathematics, Roanoke College) has based this book on several of his undergraduate courses. The book covers two major aspects: the physics involved in sports (e.g., the motion of a ball) and the statistics used to make probabilistic ratings of performance and success. The beginning chapters consider topics from mechanics, such as “Projectile Motion,” “Rotational Motion,” and “Collisions.” The rest of the text is devoted to statistics used in sports ratings and analysis, with many examples from specific games played in the big leagues or by major colleges. The material covered is selective and quirky; the level of analytical mathematics and statistics ranges from simple to advanced, including calculus, matrixes, and game theory. Each chapter has solved examples and end-of-chapter questions, problems, and suggestions for projects. There are pictures and graphs interspersed throughout the text. The book is not suitable as a standard text in any conventional course—it will best serve as a supplement.--N. Sadanand, Central Connecticut State University 2018Table of ContentsProjectile Motion. Rotational Motion. Sports Illusions. Collisions. Rating Systems. Voting Systems. Saber- and Other Metrics. Randomness in Sports. In-Game Strategies. Predictive Analytics.
£43.99
CRC Press Joint Models for Longitudinal and TimetoEvent
Book SynopsisIn longitudinal studies it is often of interest to investigate how a marker that is repeatedly measured in time is associated with a time to an event of interest, e.g., prostate cancer studies where longitudinal PSA level measurements are collected in conjunction with the time-to-recurrence. Joint Models for Longitudinal and Time-to-Event Data: With Applications in R provides a full treatment of random effects joint models for longitudinal and time-to-event outcomes that can be utilized to analyze such data. The content is primarily explanatory, focusing on applications of joint modeling, but sufficient mathematical details are provided to facilitate understanding of the key features of these models. All illustrations put forward can be implemented in the R programming language via the freely available package JM written by the author.All the R code used in the book is available at:http://jmr.r-forgeTrade Review"Overall, the book provides a nice introduction to joint models and the R package "JM". It is well written, readable, and comprehensive. With the availability of the R package for joint models, it is expected that joint models will become increasingly popular in practice, especially in medical research. In summary, the book makes an important contribution to the research and application of joint models."—Lang Wu, Department of Statistics, The University of British Columbia, Vancouver, Canada, in the Journal of Biopharmaceutical Statistics "The book is well written in a matter-of-fact style that makes even unfamiliar readers understand the concept of joint models and furthermore provides them with a guide for getting started with their own analysis. The more joint model-savvy reader will, on the other hand, find inspiration for further foraging into the subject of model extensions, diagnostics, prediction, and accuracy. … a handy guide for anyone with a need to analyze survival data in the presence of a time-dependent covariate that is measured several times. As the author incorporates a longitudinal model for such a covariate into the relative risk regression modeling framework, we observe the advantage of being able to account for measurement errors within our covariate; a fortification of our research outcomes. All in all a satisfying book on joint models with a solid payout for fellow researchers."—Maral Saadati, Biometrical Journal, 55, 2013 "This new addition to the genre is based on the JM package written by the author and has been done well. … I particularly liked the sections on numerical methods, which manage to give a useful overview of what the package is actually doing but without scaring off the mathematically reluctant. The dreaded problem of non-convergence is met head-on, with an illustration and discussion of how a little knowledge of the fitting algorithms can help to overcome such problems. This alone is worth the price of the book! … To summarize, this is a very well-crafted introduction to an active research area that I would recommend to anyone interested in getting into this field or in learning to analyze such data."—Geoff Jones, Australian & New Zealand Journal of Statistics, 2013 "The book is well written in a matter-of-fact style that makes even unfamiliar readers understand the concept of joint models and furthermore provides them with a guide for getting started with their own analysis. The more joint model-savvy reader will, on the other hand, find inspiration for further foraging into the subject of model extensions, diagnostics, prediction, and accuracy. … a handy guide for anyone with a need to analyze survival data in the presence of a time-dependent covariate that is measured several times. As the author incorporates a longitudinal model for such a covariate into the relative risk regression modeling framework, we observe the advantage of being able to account for measurement errors within our covariate; a fortification of our research outcomes. All in all a satisfying book on joint models with a solid payout for fellow researchers."—Maral Saadati, Biometrical Journal, 55, 2013 "This new addition to the genre is based on the JM package written by the author and has been done well. … I particularly liked the sections on numerical methods, which manage to give a useful overview of what the package is actually doing but without scaring off the mathematically reluctant. The dreaded problem of non-convergence is met head-on, with an illustration and discussion of how a little knowledge of the fitting algorithms can help to overcome such problems. This alone is worth the price of the book! … To summarize, this is a very well-crafted introduction to an active research area that I would recommend to anyone interested in getting into this field or in learning to analyze such data."—Geoff Jones, Australian & New Zealand Journal of Statistics, 2013 Table of ContentsIntroduction. Analysis of Longitudinal Data. Analysis of Time-to-Event Data. Joint Models for Longitudinal and Time-to-Event Data. Extensions of the Standard Joint Model. Diagnostics. Survival Probabilities and Prospective Accuracy Measures.
£999.99
Taylor & Francis Ltd Polya Urn Models
Book SynopsisIncorporating a collection of recent results, Pólya Urn Models deals with discrete probability through the modern and evolving urn theory and its numerous applications. The book first substantiates the realization of distributions with urn arguments and introduces several modern tools, including exchangeability and stochastic processes via urns. It reviews classical probability problems and presents dichromatic Pólya urns as a basic discrete structure growing in discrete time. The author then embeds the discrete Pólya urn scheme in Poisson processes to achieve an equivalent view in continuous time, provides heuristical arguments to connect the Pólya process to the discrete urn scheme, and explores extensions and generalizations. He also discusses how functional equations for moment generating functions can be obtained and solved. The final chapters cover applications of urns to computer science and bioscience. Examining how urns can help conceptualize discrete probability Trade Review"Pólya Urn Models describes the established theory and details numerous new developments since the seminal 1977 text Urn Models and Their Application: An Approach to Modern Discrete Probability Theory by Johnson and Kotz. … the second half of Mahmoud’s book largely covers new advances since Johnson and Kotz’s book … This latter material makes the current text unique. … The end-of-chapter exercises (of greatly varying difficulty) have excellent in-depth solutions at the end of the text. … The book is exceptionally well written, concise, and compelling. The author obviously commands this material, and his enthusiasm is unmistakable."—Matthew Bognar, Journal of the American Statistical Association, September 2014, Vol. 109Table of ContentsUrn Models and Rudiments of Discrete Probability. Some Classical Urn Problems.Pólya Urn Models.Poissonization. The Depoissonization Heuristic. Urn Schemes with Random Replacement.Analytic Urns.Applications of Pólya Urns in Informatics.Urn Schemes in Bioscience.Urns Evolving by Multiple Drawing. Answers to Exercises. Notation. Bibliographic Notes. Bibliography. Index.
£43.99
Taylor & Francis Ltd Statistical Inference Based on the likelihood
Book SynopsisThe Likelihood plays a key role in both introducing general notions of statistical theory, and in developing specific methods. This book introduces likelihood-based statistical theory and related methods from a classical viewpoint, and demonstrates how the main body of currently used statistical techniques can be generated from a few key concepts, in particular the likelihood.Focusing on those methods, which have both a solid theoretical background and practical relevance, the author gives formal justification of the methods used and provides numerical examples with real data.Trade Review"...this book reads well, and it is a welcome addition to the literature. I recommend its use as a text for an introductory graduate level course."-JASA"...provides numerical answers with real data."-L'Enseignment Mathematique"From the preface: 'the aim is to show how the main body of currently used statistical techniques can be generated from a few key concepts, in particular the likelihood'. The author achieves this aim extremely well."-Publication of the International Statistical InstituteTable of ContentsStatistical Inference Based on the likelihood
£43.99
Taylor & Francis Ltd The Polls Werent Wrong
Book SynopsisInterpreting poll data as a prediction of election outcomes is a practice as old as the field, rooted in a fundamental misunderstanding of what poll data means.By first understanding how polls work at a fundamental level, this book gives readers the ability to discern flaws in the current methods. Then, through specific political examples from both the United States and the United Kingdom, it is shown how polls famously derided as wrong were, in fact, accurate. While polls are not always accurate, the reasons we can and can't (rightly) call them wrong are explained in this book.This book will equip readers with the tools to navigate the mismatch of expectations. It is not intended to replace more technical applications of statistics but is accessible to anyone interested in learning more about how poll data should be understood, compared to how it's currently misunderstood.
£36.99
Taylor & Francis Ltd Guide to Modern Physics
Book SynopsisThis is a how to guide for making beginning calculations in modern physics. The academic level is second year college physical science and engineering students. The calculations are performed in Mathematica, and stress graphical visualization, units, and numerical answers. The techniques show the student how to learn the physics without being hung up on the math. There is a continuing movement to introduce more advanced computational methods into lower-level physics courses. Mathematica is a unique tool in that code is written as human readable much like one writes a traditional equation on the board.Key Features:Concise summary of the physics concepts.Over 300 worked examples in Mathematica.Tutorial to allow a beginner to produce fast results.The companion code for this book can be found here:Table of Contents1. Basis of Modern Physics 2. Thermal Radiation 3. Key Processes 4. Special Relativity 5. Bohr Model 6. Particle in a Box 7. Quantum Harmonic Oscillator 8. Hydrogen Atom 9. Statistical Physics 10. Astrophysics Appendix A: Mathematica Starter Appendix B: Physical Constants
£43.99
CRC Press Teaching and Learning Mathematics Online
Book SynopsisTeaching and Learning Mathematics Online, Second Edition continues to present meaningful and practical solutions for teaching mathematics and statistics online. It focuses on the problems observed by mathematics instructors currently working in the field who strive to hone their craft and share best practices with the community. The book provides a set of standard practices, improving the quality of online teaching and the learning of mathematics. Instructors will benefit from learning new techniques and approaches to delivering content. New to the Second Edition Nine brand new chapters Reflections on the lessons of COVID-19 Explorations of new technological opportunities.
£51.29
Taylor & Francis Ltd Applied Machine Learning Using mlr3 in R
Book Synopsismlr3 is an award-winning ecosystem of R packages that have been developed to enable state-of-the-art machine learning capabilities in R. Applied Machine Learning Using mlr3 in R gives an overview of flexible and robust machine learning methods, with an emphasis on how to implement them using mlr3 in R. It covers various key topics, including basic machine learning tasks, such as building and evaluating a predictive model; hyperparameter tuning of machine learning approaches to obtain peak performance; building machine learning pipelines that perform complex operations such as pre-processing followed by modelling followed by aggregation of predictions; and extending the mlr3 ecosystem with custom learners, measures, or pipeline components.Features: In-depth coverage of the mlr3 ecosystem for users and developers Explanation and illustration of basic and advanced machine learning concepts Ready to use code samples that can be adapted by the useTable of Contents1. Introduction and Overview. 2. Data and Basic Modeling. 3. Evaluation and Benchmarking. 4. Hyperparameter Optimization. 5. Advanced Tuning Methods and Black Box Optimization. 6. Feature Selection. 7. Sequential Pipelines. 8. Non-sequential Pipelines and Tuning. 9. Preprocessing. 10. Advanced Technical Aspects of mlr3 .11. Model Interpretation and Explanation. 12. Model Interpretation. 13. Beyond Regression and Classification. 14. Algorithmic Fairness.
£58.89
Taylor & Francis Ltd A Journey into the World of Exponential Functions
Book SynopsisThe number e, the function ex, the logarithmic function in (x) and different hyperbolic functions like cosh (x), sinh (x) make frequent appearances in science and engineering textbooks. Students often fail to appreciate the significance of these mathematical symbols. This book clearly illustrates why such abstract mathematical entities are needed to represent some aspects of physical reality. It provides an overview of different types of numbers and functions along with their historical background and applications. It contains four chapters covering number system, exponential function, logarithmic functions and hyperbolic functions along with the concept of complex angle.Print edition not for sale in South Asia (India, Sri Lanka, Nepal, Bangladesh, Pakistan or Bhutan)Table of Contents1. On Different Types of Numbers 1.1 The beginning of the journey 1.2 Extension of Number Field 1.2.1 Negative Number 1.2.2 Fraction and Rational Number 1.2.3 Irrational Number 1.2.4 Imaginary (or Quadrature Number) 1.2.5 Quaternion 1.2.6 Infinitesimal and Hyper-real Numbers; Bibliography2. On e & ex 2.1 Introduction 2.2 Backdrop in which e emerged as the outcome of continuous compounding 2.3 Outcome of decrease through continuous compounding 2.4 e as an infinite series 2.5 Proof of convergence of two sequences of e 2.6 Proof of Irrationality of e 2.7 Function ex 2.8 Interesting features of exponential functions ex and emx 2.9 Story of snails or an informal explanation of e1 vis-à-vis ei 2.9.1 e as a distance travelled along a road 2.9.2 ei as a distance travelled in a field 2.10 General function eiθ = limn→∞(1 + iθ/n )n 2.11 Infinite series representation of cos θ and sin θ 2.12 Raising the power of e by complex angle (α + iθ) 2.13 Rotating vector and concept of complex frequency 2.14 cos θ and sin θ in terms of exponential functions 2.15 Ellipse from two rotating planar vectors 2.16 Problems related to division of a number 2.16.1 Maximisation of the function x x 2.16.2 Dividing a number into several equal parts such that their product is maximum 2.17 Minimisation of the function xx 2.18 Computation of ii 2.19 Examples of 1st order differential equation 2.20 Example of 2nd order differential equation 2.21 Miscellaneous examples 2.21.1 Radioactive Disintegration 2.21.2 Advance of Chemical Reaction 2.21.3 Logistic growth 2.22 Matrix Exponential eA 2.23 Chronology of development of concepts related to e ; Bibliography 3. Logarithm 3.1 Introduction 3.2 Logarithm as artificial numbers facilitating computation 3.3 Logarithmic Function as an integral 3.4 A story of the historical development of logarithm as an area 3.5 Reverse Problem 3.6 Some useful properties of logarithmic functions 3.7 Expressing logarithm as a series 3.7.1 Alternate Method of Derivation of Logarithmic Series 3.7.2 Searching for a method with a higher rate of convergence 3.7.3 Further improvement of the method described in section 3.7.2 3.8 Logarithmic curves 3.8.1 Observations on the curve for the function y = ln x 3.8.2 Curve for the function y = ln(–x ) and y = ln |x | 3.9 Leibnitz-Gregory Series for π 3.10 Schellbach’s modified series for π 3.11 Logarithm as a limit of a product 3.12 Torricelli’s Trumpet 3.13 Logarithm of a complex number 3.14 Resolving an apparent contradiction 3.15 Applications 3.15.1 Inductance of a two wire line3.15.2 Capacitance of a two wire line 3.15.3 Loudness of sound 3.15.4 Magnitude of earthquake 3.15.5 Acidity of a substance 3.16 Chronology of development of the concepts related to logarithm; Bibliography 4. Concept of Complex Angle and Hyperbolic Functions 4.1 Introduction 4.2 Angle in terms of the area swept over during rotation 4.3 Vector viewpoint and the concept of imaginary angle 4.4 Angle due to stretching or shrinking and the concept of real angle 4.5 Complex Angle 4.6 Hyperbolic angle and Hyperbolic Functions for a hyperbola 4.7 Area swept by a straight line moving over a hyperbola 4.8 From the hyperbola x 2 – y 2 = 1 to the hyperbola u.v = 1126 4.9 Calculation of hyperbolic angle from the curve v = 1/u 4.10 The tip of a straight line moving over the curve v = 1/u 129 4.11 Trigonometric functions of imaginary variable and Hyperbolic functions 4.12 Trigonometric and Hyperbolic functions of complex angle α + iβ 4.13 Applications 4.13.1 A DC Voltage Source (V) is switched on to an LC circuit 4.13.2 A DC Voltage Source is switched on to a RLC circuit 4.13.3 Catenary 4.13.4 A Leaky Direct Current Line 4.13.5 Dynamics of moving bodies 4.14 Graphs of different hyperbolic functions 4.15 Are the hyperbolic functions periodic? 4.16 Expressions for inverse hyperbolic functions 4.17 Infinite series representation of cosh x and sinh x 4.18 Historical Development of the concept of hyperbolic functions ; Bibliography
£76.49
Taylor & Francis An Introduction to Applied Statistics
Book SynopsisAn Introduction to Applied Statistics offers a comprehensive and accessible foundation in applied statistics, empowering students with the essential concepts and practical skills necessary for data-driven decision-making in today's world. Thoroughly covering key topicsâincluding data management, probability fundamentals, data screening, descriptive statistics, and a broad spectrum of inferential analysis techniquesâthis indispensable guide demystifies statistical concepts and equips students to confidently apply statistical analysis in real-world contexts.With a systematic, beginner-friendly approach, the author assumes no prior knowledge, making complex statistical foundations accessible to students from a variety of disciplines. Concise, digestible chapters build statistical competencies within a practical, evidence-based framework, minimizing technical jargon to facilitate comprehension. Now in its latest edition, the book is fully updated with SPSS v29.0 instructio
£70.29
Taylor & Francis Ltd Statistical Inference
Book SynopsisThis classic textbook builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and natural extensions, and consequences, of previous concepts. It covers all topics from a standard inference course including: distributions, random variables, data reduction, point estimation, hypothesis testing, and interval estimation.Features The classic graduate-level textbook on statistical inference Develops elements of statistical theory from first principles of probability Written in a lucid style accessible to anyone with some background in calculus Covers all key topics of a standard course in inference Hundreds of examples throughout to aid understanding Each chapter includes an extensive set of graduated exercises
£68.39
CRC Press The Four Corners of Mathematics
Book SynopsisThe Four Corners of Mathematics: A Brief History, from Pythagoras to Perelman describes the historical development of the âbig ideasâ in mathematics in an accessible and intuitive manner. In delivering this bird's-eye view of the history of mathematics, the author uses engaging diagrams and images to communicate complex concepts while also exploring the details of the main results and methods of high-level mathematics. As such, this book involves some equations and terminology, but the only assumption on the readersâ knowledge is A-level or high school mathematics.Features Divided into four parts, covering Geometry, Algebra, Calculus and Topology Presents high-level mathematics in a visual and accessible way with numerous examples and over 250 illustrations Includes several novel and intuitive proofs of big theorems, so even the nonexpert reader can appreciate them Sketches of the lives of important contributors, wi
£19.99
Taylor & Francis Ltd Taking the Oof Out of Proofs
Book SynopsisThis book introduces readers to the art of doing mathematical proofs. Proofs are the glue that holds mathematics together. They make connections between math concepts and show why things work the way they do. This book teaches the art of proofs using familiar high-school concepts, such as numbers, polynomials, functions, and trigonometry. It retells math as a story, where the next chapter follows from the previous one.Readers will see how various mathematical concepts are tied and will see that mathematics is not a pile of formulas and facts; rather, it has an orderly and beautiful edifice.The author begins with basic rules of logic and then progresses through the topics already familiar to the students: numbers, inequalities, functions, polynomials, exponents, and trigonometric functions. There are also beautiful proofs for conic sections, sequences, and Fibonacci numbers. Each chapter has exercises for the reader.Reviewer Comments:I find the
£45.99
Taylor & Francis Ltd Graphs Digraphs
Book SynopsisGraphs & Digraphs, Seventh Edition masterfully employs student-friendly exposition, clear proofs, abundant examples, and numerous exercises to provide an essential understanding of the concepts, theorems, history, and applications of graph theory. This classic text, widely popular among students and instructors alike for decades, is thoroughly streamlined in this new, seventh edition, to present a text consistent with contemporary expectations.Changes and updates to this edition include: A rewrite of four chapters from the ground up Streamlining by over a third for efficient, comprehensive coverage of graph theory Flexible structure with foundational Chapters 16 and customizable topics in Chapters 711 Incorporation of the latest developments in fundamental graph theory Statements of recent groundbreaking discoveries, even if proofs are beyond scope Completely reorganized chapters on traversability, connectiviTable of Contents1 Graphs 1.1 Fundamentals 1.2 Isomorphism 1.3 Families of graphs 1.4 Operations on graphs 1.5 Degree sequences 1.6 Path and cycles 1.7 Connected graphs and distance 1.8 Trees and forests 1.9 Multigraphs and pseudographs 2 Digraphs 2.1 Fundamentals 2.2 Strongly connected digraphs 2.3 Tournaments 2.4 Score sequences 3 Traversability 3.1 Eulerian graphs and digraphs 3.2 Hamiltonian graphs 3.3 Hamiltonian digraphs 3.4 Highly hamiltonian graphs 3.5 Graph powers 4 Connectivity 4.1 Cut-vertices, bridges, and blocks 4.2 Vertex connectivity 4.3 Edge-connectivity 4.4 Menger's theorem 5 Planarity 5.1 Euler's formula 5.2 Characterizations of planarity 5.3 Hamiltonian planar graphs 5.4 The crossing number of a graph 6 Coloring 6.1 Vertex coloring 6.2 Edge coloring 6.3 Critical and perfect graphs 6.4 Maps and planar graphs 7 Flows 7.1 Networks 7.2 Max-flow min-cut theorem 7.3 Menger's theorems for digraphs 7.4 A connection to coloring 8 Factors and covers 8.1 Matchings and 1-factors 8.2 Independence and covers 8.3 Domination 8.4 Factorizations and decompositions 8.5 Labelings of graphs 9 Extremal graph theory 9.1 Avoiding a complete graph 9.2 Containing cycles and trees 9.3 Ramsey theory 9.4 Cages and Moore graphs 10 Embeddings 10.1 The genus of a graph 10.2 2-Cell embeddings of graphs 10.3 The maximum genus of a graph 10.4 The graph minor theorem 11 Graphs and algebra 11.1 Graphs and matrices 11.2 The automorphism group 11.3 Cayley color graphs 11.4 The reconstruction problem
£52.24
CRC Press Quantitative Social Science Research in Practice
Book SynopsisQuantitative Social Science Research in Practice: Generating Novel and Parsimonious Explanatory Models for Social Sciences examines quantitative Behavioral Science Research (BSR) by focusing on four key areas:Developing Novel, Parsimonious, and Actionable Causal Models: Researchers often face challenges in creating new, parsimonious causal models supported by empirical evaluation. A promising approach involves using meta-analytic reviews and more recent studies to identify relevant constructs and hypotheses that would constitutethe new causal model.Exploring the Scope of Context for a Novel Causal Model: The relevance of causal models may vary based on context, such as national or organizational culture, economic and political situations, and feasibility constraints. Behavioural science researchers have struggled to balance rigor and relevance, as theories effective in one context may not be valid in another. This book presents an approa
£58.89
CRC Press Playing with Infinity
Book SynopsisThis is a book about infinity â specifically the infinity of numbers, and how one kind of infinity is greater than all the rest. Along the way the author will demonstrate how infinity can be made to create beautiful âartâ, and how this process can help us to understand the fundamental nature of numbers. This book will provide a fascinating read for anyone interested in number theory, infinity, math art, and/or generative art, and could be used a valuable supplement to any course on these topics.Features Beautiful examples of generative art. Accessible to anyone with a reasonable high school level of mathematics. Full of challenges and puzzles to engage readers.
£30.39
CRC Press Statistical Inference via Data Science
Book SynopsisStatistical Inference via Data Science: A ModernDive into R and the Tidyverse, Second Edition offers a comprehensive guide to learning statistical inference with data science tools widely used in industry, academia, and government. The first part of this book introduces the tidyverse suite of R packages, including ggplot2 for data visualization and dplyr for data wrangling. The second part introduces data modeling via simple and multiple linear regression. The third part presents statistical inference using simulation-based methods within a general framework implemented in R via the infer package, a suitable complement to the tidyverse. By working with these methods, readers can implement effective exploratory data analyses, conduct statistical modeling with data, and carry out statistical inference via confidence intervals and hypothesis testing. All these tasks are performed strongly emphasizing data visualization.Key Features in
£61.74
CRC Press Financial Data Analytics with R
Book SynopsisFinancial Data Analysis with R: Monte-Carlo Validation is a comprehensive exploration of statistical methodologies and their applications in finance. Readers are taken on a journey in each chapter through practical explanations and examples, enabling them to develop a solid foundation of these methods in R and their applications in finance.This book serves as an indispensable resource for finance professionals, analysts, and enthusiasts seeking to harness the power of data-driven decision-making.The book goes beyond just teaching statistical methods in R and incorporates a unique section of informative Monte-Carlo simulations. These Monte-Carlo simulations are uniquely designed to showcase the reader the potential consequences and misleading conclusions that can arise when fundamental model assumptions are violated. Through step-by-step tutorials and realworld cases, readers will learn how and why model assumptions are important to follow.With a focus on
£58.89
Taylor & Francis Ltd Puzzle and Proof
Book SynopsisPuzzle and Proof: A Decade of Problems from the Utah Math Olympiad is a compilation of the problems and solutions for the first 10 years of the Utah Math Olympiad. The problems are challenging but should be understandable at a high school level. Besides putting all problems in one place (70 in total), which have not previously appeared in print, the book provides additional inspiration for many of the problems and will contain the first published solutions for 10 problems that were originally published on the contest flyer. The book will be a fantastic resource for anyone who enjoys mathematical and/or logic puzzles or is interested in studying for mathematics competitions.Features 70 carefully designed, high-quality high-school level math proof problems, with full solutions Detailed pictures and diagrams throughout to aid understanding Suitable for anyone with high school-level mathematics skills with an interest in furth
£29.99
