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This classic textbook, thoroughly revised and updated for its third edition, introduces the basic methods of computational physics. Clear, concise and practical, the new edition includes an additional chapter on machine learning and is supported with sample programs in Python. First, readers are presented with the numerical techniques that every computational scientist should have in their toolbox, including approximation of functions, numerical calculus, differential and partial differential equations, spectral analysis, linear algebra and matrix operations. The author then provides self-contained introductions to the research areas of molecular dynamics, fluid dynamics, Monte Carlo simulations, genetic algorithms and machine learning. Important concepts are illustrated with relevant examples, and each chapter concludes with a selection of exercises. Suitable for upper-division undergraduate to graduate courses on computational physics and scientific computing, this book is also a useful resource for anyone interested in using computation to solve scientific problems.
This textbook offers a foundational overview of cognitive psychology, balancing accessible writing, practical applications, and research. By incorporating biological perspectives throughout, the authors provide a concise introduction to human cognition and its evolution over time as a means of adapting to our environment. Chapters cover key topics including cognitive neuroscience, attention and consciousness, perception, memory, knowledge representation, language, problem-solving and creativity, decision-making and reasoning, cognitive development, and intelligence. This seventh edition also introduces new content on human intelligence, consolidated into a final chapter. With its 'from lab to life' approach, the authors provide thorough coverage of theory, lab, and field research, while continually highlighting real-world applications to everyday life.
Building on its critical and optimistic approach, the fully revised second edition of this textbook utilizes international relations theory and coverage of key historical events to give students a comprehensive, unbiased understanding of international politics backed by up-to-date research. Broad in scope, the book covers topics ranging from leadership and warfare to terrorism and global environmental threats. New to this edition is in-depth coverage of the Russo-Ukraine War and the Israel, Palestine, and Middle East Wars, and up-to-date context is added throughout with the inclusion of issues such as the Covid-19 pandemic and Brexit. The text is enhanced by box features and 'Close Up' sections providing further information, and 'Critical Case Studies' highlighting complex historical and current affairs. Through the evaluation of past and contemporary real-world issues and institutions, this textbook provides students of political science and international relations with the tools they need to think critically about global politics.
With contributions from a team of renowned scholars, this two-volume Handbook is a comprehensive guide to the Distributed Morphology (DM) framework, providing an overview of all major theoretical issues in morphology. This volume, the second, looks at morphology post-syntax within the Distributed Morphology (DM) framework, exploring its phonological and semantic aspects. It is divided into three parts; Parts I and II focus on morphology post-syntax, exploring its phonological and semantic aspects. Part III broadens the discussion to interfaces between morphology and other areas of linguistics and cognitive science, extending DM's reach well beyond core language components. Each chapter focuses on different theoretical issues, as well as empirical phenomena across a variety of languages. Filling a crucial gap in the domain of morphology, this volume is an essential resource for anyone who wants to understand the depth and scope of Distributed Morphology research.
With contributions from a team of renowned scholars, this two-volume Handbook is a comprehensive guide to the Distributed Morphology (DM) framework, providing an overview of all major theoretical issues in morphology. This volume, the first, covers the core components of DM, its historical context, and its foundational principles. It is divided into three parts; Part I introduces the basics of DM and compares it with alternative models, Part II delves into the core components of DM, and Part III addresses key issues for the syntax-morphology interface. Each chapter focuses on different theoretical issues, as well as empirical phenomena across a variety of languages. Filling a crucial gap in the domain of morphology, this volume is an essential resource for anyone who wants to understand the depth and scope of Distributed Morphology research.
American and British English in the twenty-first century are still divided by a common language. Now in its second edition, this highly readable guide provides an authoritative reference to English usage, covering the differences, and some emerging similarities, between British, American and international English. It has been thoroughly updated and expanded to document hundreds of variable points of usage for the benefit of British and American readers, and for those seeking international forms of English for written communication, as first- or second-language users. It discusses the current status of each usage item with quantitative evidence from the NOW (News on the Web) corpus and contemporary research. Lively examples of usage are provided to capture aspects of twenty-first century culture world-wide. It also discusses issues in the use of personal names and ethnic naming practices, as well as sexist and homophobic words, and person-centred words for those living with a disability.
Research in computing requires more than just understanding methodology, it demands practical skills in formulating questions, designing studies, analyzing data, and communicating findings. This book guides you through the complete research process using scaffolded, AI-assisted activities that have been classroom-tested with over 100 research students. Each chapter addresses a core competency: discovering your research interests, developing rigorous research questions, designing robust studies, conducting data analysis, practicing peer review, and mastering technical communication. You will learn to leverage AI as a tool throughout the research process while developing the critical thinking essential to quality scholarship. The pedagogical approach emphasizes active learning through structured activities with step-by-step guidance, making the book an indispensable resource for undergraduate and graduate research methods courses, as well as for independent study by computing professionals entering research.
Perceptual Dialectology (PD) is the study of non-linguists' beliefs about language variation and its spatial distribution. This book provides a concise introduction to PD, covering the foundational assumptions and scholarly theories that inform it, such as sociolinguistics, human geography, and social psychology. It addresses the key strategies and best practices for the design, collection, analysis, and interpretation of PD research, such as the effects of bias, macro/micro social categories, use of interviews, and data analysis. It approaches the analysis of metalinguistic commentary through an exploration of the frameworks that assign meaning to language objects, and also includes a summary of the history and roots of PD, allowing readers to understand how PD intersects with both 'old' and 'new' ways of exploring sociolinguistic questions. Providing the tools to carry out their own research, it is ideal for researchers and students looking for a one-stop overview of this growing field.