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University Physics Volume 1
by Samuel J. Ling Jeff Sanny William MoebsUniversity Physics is a three-volume collection that meets the scope and sequence requirements for two- and three-semester calculus-based physics courses. Volume 1 covers mechanics, sound, oscillations, and waves. Volume 2 covers thermodynamics, electricity and magnetism, and Volume 3 covers optics and modern physics. This textbook emphasizes connections between theory and application, making physics concepts interesting and accessible to students while maintaining the mathematical rigor inherent in the subject. Frequent, strong examples focus on how to approach a problem, how to work with the equations, and how to check and generalize the result.
University Physics Volume 2: Atoms First
by Samuel J. Ling Jeff Sanny William MoebbsUniversity Physics is a three-volume collection that meets the scope and sequence requirements for two- and three-semester calculus-based physics courses. Volume 1 covers mechanics, sound, oscillations, and waves. Volume 2 covers thermodynamics, electricity and magnetism, and Volume 3 covers optics and modern physics. This textbook emphasizes connections between theory and application, making physics concepts interesting and accessible to students while maintaining the mathematical rigor inherent in the subject. Frequent, strong examples focus on how to approach a problem, how to work with the equations, and how to check and generalize the result.
University Physics: Volume 3
by Roger A. Freedman A. Lewis Ford Hugh D. YoungUniversity Physics Volume 3 (Chapters 37-44 only), 13/e continues to set the benchmark for clarity and rigor combined with effective teaching and research-based innovation. University Physics is known for its uniquely broad, deep, and thoughtful set of worked examples--key tools for developing both physical understanding and problem-solving skills. The Thirteenth Edition revises all the Examples and Problem-Solving Strategies to be more concise and direct while maintaining the Twelfth Edition's consistent, structured approach and strong focus on modeling as well as math. To help students tackle challenging as well as routine problems, the Thirteenth Edition adds Bridging Problems to each chapter, which pose a difficult, multiconcept problem and provide a skeleton solution guide in the form of questions and hints. The text's rich problem sets--developed and refined over six decades--are upgraded to include larger numbers of problems that are biomedically oriented or require calculus.
University of Toronto Mathematics Competition (2001-2015)
by Edward J. BarbeauThis text records the problems given for thefirst 15 annual undergraduate mathematics competitions, held in March each yearsince 2001 at the University of Toronto. Problems cover areas ofsingle-variable differential and integral calculus, linear algebra, advancedalgebra, analytic geometry, combinatorics, basic group theory, and numbertheory. The problems of the competitions are given in chronological order aspresented to the students. The solutions appear in subsequent chaptersaccording to subject matter. Appendices recall some background material andlist the names of students who did well. The University of TorontoUndergraduate Competition was founded to provide additional competition experience forundergraduates preparing for the Putnamcompetition, and is particularly useful for the freshman or sophomore undergraduate. Lecturers, instructors,and coaches for mathematics competitions will find this presentation useful. Many of the problems are of intermediatedifficulty and relate to the first two years of the undergraduatecurriculum. The problems presented may beparticularly useful for regular class assignments. Moreover, this text contains problems that lie outside the regular syllabus and may interest studentswho are eager to learn beyond the classroom.
Unlimited Players: The Intersections of Writing Center and Game Studies
by Holly Ryan Stephanie VieUnlimited Players provides writing center scholars with new approaches to engaging with multimodality in the writing center through the lenses of games, play, and digital literacies. Considering how game scholarship can productively deepen existing writing center conversations regarding the role of creativity, play, and engagement, this book helps practitioners approach a variety of practices, such as starting new writing centers, engaging tutors and writers, developing tutor education programs, developing new ways to approach multimodal and digital compositions brought to the writing center, and engaging with ongoing scholarly conversations in the field. The collection opens with theoretically driven chapters that approach writing center work through the lens of games and play. These chapters cover a range of topics, including considerations of identity, empathy, and power; productive language play during tutoring sessions; and writing center heuristics. The last section of the book includes games, written in the form of tabletop game directions, that directors can use for staff development or tutors can play with writers to help them develop their skills and practices. No other text offers a theoretical and practical approach to theorizing and using games in the writing center. Unlimited Players provides a new perspective on the long-standing challenges facing writing center scholars and offers insight into the complex questions raised in issues of multimodality, emerging technologies, tutor education, identity construction, and many more. It will be significant to writing center directors and administrators and those who teach tutor training courses.
Unlocking Financial Data: A Practical Guide to Technology for Equity and Fixed Income Analysts
by Justin PauleyInvestors recognize that technology is a powerful tool for obtaining and interpreting financial data that could give them the one thing everyone on Wall Street wants: an edge. Yet, many don’t realize that you don’t need to be a programmer to access behind-the-scenes financial information from Bloomberg, IHS Markit, or other systems found at most banks and investment firms.This practical guide teaches analysts a useful subset of Excel skills that will enable them to access and interpret financial information—without any prior programming experience. This book will show analysts, step-by-step, how to quickly produce professional reports that combine their views with Bloomberg or Markit data including historical financials, comparative analysis, and relative value. For portfolio managers, this book demonstrates how to create professional summary reports that contain a high-level view of a portfolio’s performance, growth, risk-adjusted return, and composition. If you are a programmer, this book also contains a parallel path that covers the same topics using C#.Topics include:Access additional data that isn’t visible on Bloomberg screensCreate tables containing corporate data that makes it possible to compare multiple companies, bonds, or loans side-by- sideBuild one-page analytic (“Tear Sheet”) reports for individual companies that incorporates important financials, custom notes, relative value comparison of the company to its peers, and price trends with research analyst targetsBuild two-page portfolio summary report that contains a high-level view of the portfolio’s performance, growth, risk-adjusted return, and compositionExplore daily prices and facility information for most of the tradable corporate bond and loan marketDetermine the relationship between two securities (or index) using correlation and regressionCompare each security’s performance to a cohort made of up of securities with similar risk and return characteristicsMeasure portfolio risk-adjusted return by calculating variance, standard deviation, and Sharpe ratioUse Markit data to identify meaningful trends in prices, new issue spreads, and refinancings
Unlocking Mathematics Teaching
by Valsa Koshy Jean MurrayNow in a fully updated second edition, Unlocking Mathematics Teaching is a comprehensive guide to teaching mathematics in the primary school. Combining theory and practice, selected experts outline the current context of mathematics education. They suggest strategies, activities and examples to help develop readers understanding and confidence in delivering the curriculum. The book combines an accessible blend of subject knowledge and pedagogy, and its key features include: Advice on teaching mathematics to high and low attainers; Guidance on teaching mental maths; Ideas for incorporating ICT; Guidance on assessment in mathematics education; Teaching problem solving; Numerical and non-numerical examples; Updated references, taking into account the Williams Report. This book will be of interest to all primary education students and practising teachers looking to increase their confidence and effectiveness in delivering the mathematics curriculum.
Unlocking dbt: Design and Deploy Transformations in Your Cloud Data Warehouse
by Dustin Dorsey Cameron CyrThis book shows how dbt is used to build data transformation pipelines that enable dependency management and allow for version control and automated testing. It explains how dbt is revolutionizing data transformation and the advantages that a command-line tool like dbt provides over and above the use of database stored procedures and other ETL and ELT tools that handle data transformations. You’ll see how to create custom-written transformations through simple SQL SELECT statements, eliminating the need for boilerplate code and making it easy to incorporate dbt as the transformation layer in your data warehouse pipelines. Additionally, you will learn how dbt enables data teams to incorporate software engineering best practices such as code reusability, version control, and automated testing into the data transformation process. Unlocking dbt walks you through using dbt to establish a project, build and modularize SQL models, and execute jobs in a way that is easy to maintain and scale as your data ecosystem matures. You’ll begin by establishing and configuring a project, a process covered using both dbt Cloud and dbt Core, so that you can confidently stand up a project using either platform. From there, you’ll move into building transformations with peace of mind that your project will scale appropriately as you continue to develop it. After learning the basics needed to get started, you’ll continue to build on that foundation by looking at the unique ways in which dbt combines SQL with Jinja to take your code beyond what is capable in normal SQL. You will learn about advanced materializations, building lineage in your data flows, the unlimited potential of macros, and so much more. This book also explores supported file types and the building of Python models. Rounding things out, you will learn features of dbt that will assist you in making your transformation layer production ready. These include how to implement automated testing, using dbt to generate documentation, and running CI/CD pipelines. What You Will Learn Understand what dbt is and how it is used in the modern data stackSet up a project using both dbt Cloud and dbt CoreConnect a dbt project to a cloud data warehouseBuild SQL and Python models that are scalable and maintainableConfigure development, testing, and production environmentsCapture reusable logic in the form of Jinja macrosIncorporate version control with your data transformation code Who This Book Is For Current and aspiring data professionals, including architects, developers, analysts, engineers, data scientists, and consultants who are beginning the journey of using dbt as part of their data pipeline’s transformation layer. Readers should have a foundational knowledge of writing basic SQL statements, development best practices, and working with data in an analytical context such as a data warehouse.
Unmatched: 50 Years of Supercomputing (Chapman & Hall/CRC Computational Science)
by David BarkaiUnmatched: 50 Years of Supercomputing: A Personal Journey Accompanying the Evolution of a Powerful ToolThe rapid and extraordinary progress of supercomputing over the past half-century is a powerful demonstration of our relentless drive to understand and shape the world around us. In this book, David Barkai offers a unique and compelling account of this remarkable technological journey, drawing from his own rich experiences working at the forefront of high-performance computing (HPC).This book is a journey delineated as five decade-long ‘epochs’ defined by the systems’ architectural themes: vector processors, multi-processors, microprocessors, clusters, and accelerators and cloud computing. The final part examines key issues of HPC and discusses where it might be headed.A central goal of this book is to show how computing power has been applied, and, more importantly, how it has impacted and benefitted society. To this end, the use of HPC is illustrated in a range of industries and applications, from weather and climate modeling to engineering and life sciences. As such, this book appeals to both students and general readers with an interest in HPC, as well as industry professionals looking to revolutionize their practice.From the Foreword:“David Barkai's career has spanned five decades, during which he has had the rare opportunity to be part of some of the most significant developments in the field of supercomputing. His personal and professional insights, combined with his deep knowledge and passion for the subject matter, make this book an invaluable resource for anyone interested in the evolution of HPC and its impact on our lives.”-Horst Simon, Director, Abu Dhabi Investment Authority (ADIA) Lab
Unnatural Deaths in the U.S.S.R.
by Iosif G. DyadkinThis astonishing and sobering account of government- and war-induced civilian deaths in the Soviet Union calculates that Soviet loss of life between 1928 and 1954 was far higher than Western ex-perts have ever believed. Applying mathematical techniques to Soviet demographic statistics, Dyadkin shows that Stalinist repres-sion and World War II must have taken the lives of between 43 and 52 million Soviet citizens.In the first period, 1929-36, one of collectivization, Stalin control-led and eliminated classes; during the Great Purge of 1937-38, mil-lions of Communist party members and bureaucrats were executed, and then the purge extended into the Red Army. Dyadkin shows that World War II took close to 30 million lives and that during 1950-53 another 450,000 died in prison camps.
Uno, Dos, Tres: One, Two, Three
by Pat Mora Barbara LavalleePictures depict two sisters going from shop to shop buying birthday presents for their mother. Rhyming text presents numbers from one to ten in English and Spanish. GLOSSARY.
Unobserved Variables
by David J. BartholomewThe classical statistical problem typically involves a probability distribution which depends on a number of unknown parameters. The form of the distribution may be known, partially or completely, and inferences have to be made on the basis of a sample of observations drawn from the distribution; often, but not necessarily, a random sample. This brief deals with problems where some of the sample members are either unobserved or hypothetical, the latter category being introduced as a means of better explaining the data. Sometimes we are interested in these kinds of variable themselves and sometimes in the parameters of the distribution. Many problems that can be cast into this form are treated. These include: missing data, mixtures, latent variables, time series and social measurement problems. Although all can be accommodated within a Bayesian framework, most are best treated from first principles.
Unpapered: Writers Consider Native American Identity and Cultural Belonging
by Diane Glancy Linda RodriguezUnpapered is a collection of personal narratives by Indigenous writers exploring the meaning and limits of Native American identity beyond its legal margins. Native heritage is neither simple nor always clearly documented, and citizenship is a legal and political matter of sovereign nations determined by such criteria as blood quantum, tribal rolls, or community involvement. Those who claim a Native cultural identity often have family stories of tenuous ties dating back several generations. Given that tribal enrollment was part of a string of government programs and agreements calculated to quantify and dismiss Native populations, many writers who identify culturally and are recognized as Native Americans do not hold tribal citizenship. With essays by Trevino Brings Plenty, Deborah Miranda, Steve Russell, and Kimberly Wieser, among others, Unpapered charts how current exclusionary tactics began as a response to &“pretendians&”—non-indigenous people assuming a Native identity for job benefits—and have expanded to an intense patrolling of identity that divides Native communities and has resulted in attacks on peoples&’ professional, spiritual, emotional, and physical states. An essential addition to Native discourse, Unpapered shows how social and political ideologies have created barriers for Native people truthfully claiming identities while simultaneously upholding stereotypes.
Unraveling New Frontiers and Advances in Bioinformatics
by Akarsh Verma Sushanta K. Sethi Amit ChaudharyThis book describes the bioinformatics research field, from its historical roots to the cutting-edge technologies. Many readers can discover the power of next-generation sequencing and genomic data analysis, uncover the secrets of single-cell genomics and transcriptomics, explore the metagenomics and microbiome analysis, and predict the protein structures using structural bioinformatics. Several case studies witnessing the fusion of bioinformatics and artificial intelligence, driving insights from vast biological datasets have also been explored. Other important aspects listed in the book are integrating the omics data for a holistic view of biological systems; experiencing the future of medicine with precision healthcare and personalized treatments; accelerating drug discovery and repurposing through computational approaches; agricultural genomics; and exploring the role of immunoinformatics in designing effective vaccines against infectious diseases.
Unravelling the Credit Crunch (Chapman and Hall/CRC Financial Mathematics Series)
by David MurphyFascinating Insight into How the Financial System Works and How the Credit Crisis AroseClearly supplies details vital to understanding the crisis Unravelling the Credit Crunch provides a clearly written, comprehensive account of the current credit crisis that is easily understandable to non-specialists. It explains how the financial system was draw
Unsettled Futures: Carceral Circuits and Old Age in Japan
by Jason DanelyThere are two prevailing myths about Japanese society: first, that it has a successful elderly welfare system and second, that it has a successful criminal justice system. Both of these myths reinforce a social imaginary where cultural values of family and community harmony make extensive state intervention unnecessary. Yet not only are both of these myths and their arguments deeply flawed, but they also obscure the more troubling reality that institutions of welfare and punishment in Japan are co-extensive, both keeping Japan&’s growing population of &“excess&” older people contained and controlled rather than providing ways for them to integrate and flourish. Elderly ex-offenders are some of the most vulnerable and marginalized groups in Japan today, with high levels of poverty and homelessness, disability, mental health problems, and social isolation. Those with a history of incarceration and, by extension, their family, face stigma and discrimination that further erodes their ability to reintegrate and puts them at greater risk of reoffending. Unlike in any other country in the world, older people in Japan have a higher rate of reoffending than other age groups. In Unsettled Futures, author Jason Danely argues that we cannot dismiss these individuals merely as deviants; rather, their circumstances reveal deep contradictions in the overlapping terrain of welfare and punishment, and the precarity that forecloses on possibilities for older people to build a good life.
Unsicherheiten, aber sicher!: Vom kompetenten Umgang mit ungenauen Daten
by Burkhard PriemerDieses Sachbuch gibt eine allgemeinverständliche Einführung in den Umgang mit Unsicherheiten von Daten und sensibilisiert dafür, Daten nicht unreflektiert als richtig hinzunehmen. Es macht die Leser darauf aufmerksam, wie Unsicherheiten in Daten in vielen Alltagssituationen auftreten und höchst relevant sein können, z.B. um persönliche Entscheidungen zu treffen, an politischen Wahlen teilzunehmen und wissenschaftliche Studien einzuschätzen.Gespickt mit zahlreichen Beispielen aus Naturwissenschaft, Gesellschaft und Alltag vermittelt das Buch ohne viel Formeln und mathematische Kenntnisse das dafür notwendige Grundwissen. Es versetzt die Leser in die Lage, im Alltag nach Unsicherheiten zu suchen, diese zu erkennen, zu hinterfragen und zu bewerten.
Unsolved Problems in Mathematical Systems and Control Theory
by Vincent D. Blondel & Alexandre MegretskiThis book provides clear presentations of more than sixty important unsolved problems in mathematical systems and control theory. Each of the problems included here is proposed by a leading expert and set forth in an accessible manner. Covering a wide range of areas, the book will be an ideal reference for anyone interested in the latest developments in the field, including specialists in applied mathematics, engineering, and computer science. The book consists of ten parts representing various problem areas, and each chapter sets forth a different problem presented by a researcher in the particular area and in the same way: description of the problem, motivation and history, available results, and bibliography. It aims not only to encourage work on the included problems but also to suggest new ones and generate fresh research. The reader will be able to submit solutions for possible inclusion on an online version of the book to be updated quarterly on the Princeton University Press website, and thus also be able to access solutions, updated information, and partial solutions as they are developed.
Unstable Systems (Mathematical Physics Studies)
by Lawrence Horwitz Yosef StraussThis book focuses on unstable systems both from the classical and the quantum mechanical points of view and studies the relations between them. The first part deals with quantum systems. Here the main generally used methods today, such as the Gamow approach, and the Wigner-Weisskopf method, are critically discussed. The quantum mechanical Lax-Phillips theory developed by the authors, based on the dilation theory of Nagy and Foias and its more general extension to approximate semigroup evolution is explained.The second part provides a description of approaches to classical stability analysis and introduces geometrical methods recently developed by the authors, which are shown to be highly effective in diagnosing instability and, in many cases, chaotic behavior. It is then shown that, in the framework of the theory of symplectic manifolds, there is a systematic algorithm for the construction of a canonical transformation of any standard potential model Hamiltonian to geometric form, making accessible powerful geometric methods for stability analysis in a wide range of applications.
Unsteady Supersonic Combustion
by Mingbo Sun Hongbo Wang Zun Cai Jiajian ZhuThis book describes the unsteady phenomena needed to understand supersonic combustion. Following an initial chapter that introduces readers to the basic concepts in and classical studies on unsteady supersonic combustion, the book highlights recent studies on unsteady phenomena, which offer insights on e.g. interactions between acoustic waves and flames, flow dominating instability, ignition instability, flame flashback, and near-blowout-limit combustion. In turn, the book discusses in detail the fundamental mechanisms of these phenomena, and puts forward practical suggestions for future scramjet design.
Unsupervised Domain Adaptation: Recent Advances and Future Perspectives (Machine Learning: Foundations, Methodologies, and Applications)
by Lei Zhu Jingjing Li Zhekai DuUnsupervised domain adaptation (UDA) is a challenging problem in machine learning where the model is trained on a source domain with labeled data and tested on a target domain with unlabeled data. In recent years, UDA has received significant attention from the research community due to its applicability in various real-world scenarios. This book provides a comprehensive review of state-of-the-art UDA methods and explores new variants of UDA that have the potential to advance the field. The book begins with a clear introduction to the UDA problem and is mainly organized into four technical sections, each focused on a specific piece of UDA research. The first section covers criterion optimization-based UDA, which aims to learn domain-invariant representations by minimizing the discrepancy between source and target domains. The second section discusses bi-classifier adversarial learning-based UDA, which creatively leverages adversarial learning by conducting a minimax game between the feature extractor and two task classifiers. The third section introduces source-free UDA, a novel UDA setting that does not require any raw data from the source domain. The fourth section presents active learning for UDA, which combines domain adaptation and active learning to reduce the amount of labeled data needed for adaptation. This book is suitable for researchers, graduate students, and practitioners who are interested in UDA and its applications in various fields, primarily in computer vision. The chapters are authored by leading experts in the field and provide a comprehensive and in-depth analysis of the current UDA methods and new directions for future research. With its broad coverage and cutting-edge research, this book is a valuable resource for anyone looking to advance their knowledge of UDA.
Unsupervised Feature Extraction Applied to Bioinformatics: A PCA Based and TD Based Approach (Unsupervised and Semi-Supervised Learning)
by Y-h. TaguchiThis updated book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection. The author posits that although supervised methods including deep learning have become popular, unsupervised methods have their own advantages. He argues that this is the case because unsupervised methods are easy to learn since tensor decomposition is a conventional linear methodology. This book starts from very basic linear algebra and reaches the cutting edge methodologies applied to difficult situations when there are many features (variables) while only small number of samples are available. The author includes advanced descriptions about tensor decomposition including Tucker decomposition using high order singular value decomposition as well as higher order orthogonal iteration, and train tensor decomposition. The author concludes by showing unsupervised methods and their application to a wide range of topics.
Unsupervised Learning Algorithms
by M. Emre Celebi Kemal AydinThis book summarizes the state-of-the-art in unsupervised learning. The contributors discuss how with the proliferation of massive amounts of unlabeled data, unsupervised learning algorithms, which can automatically discover interesting and useful patterns in such data, have gained popularity among researchers and practitioners. The authors outline how these algorithms have found numerous applications including pattern recognition, market basket analysis, web mining, social network analysis, information retrieval, recommender systems, market research, intrusion detection, and fraud detection. They present how the difficulty of developing theoretically sound approaches that are amenable to objective evaluation have resulted in the proposal of numerous unsupervised learning algorithms over the past half-century. The intended audience includes researchers and practitioners who are increasingly using unsupervised learning algorithms to analyze their data. Topics of interest include anomaly detection, clustering, feature extraction, and applications of unsupervised learning. Each chapter is contributed by a leading expert in the field.
Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization
by B.K. Tripathy Anveshrithaa Sundareswaran Shrusti GhelaUnsupervised Learning Approaches for Dimensionality Reduction and Data Visualization describes such algorithms as Locally Linear Embedding (LLE), Laplacian Eigenmaps, Isomap, Semidefinite Embedding, and t-SNE to resolve the problem of dimensionality reduction in the case of non-linear relationships within the data. Underlying mathematical concepts, derivations, and proofs with logical explanations for these algorithms are discussed, including strengths and limitations. The book highlights important use cases of these algorithms and provides examples along with visualizations. Comparative study of the algorithms is presented to give a clear idea on selecting the best suitable algorithm for a given dataset for efficient dimensionality reduction and data visualization. FEATURES Demonstrates how unsupervised learning approaches can be used for dimensionality reduction Neatly explains algorithms with a focus on the fundamentals and underlying mathematical concepts Describes the comparative study of the algorithms and discusses when and where each algorithm is best suitable for use Provides use cases, illustrative examples, and visualizations of each algorithm Helps visualize and create compact representations of high dimensional and intricate data for various real-world applications and data analysis This book is aimed at professionals, graduate students, and researchers in Computer Science and Engineering, Data Science, Machine Learning, Computer Vision, Data Mining, Deep Learning, Sensor Data Filtering, Feature Extraction for Control Systems, and Medical Instruments Input Extraction.
Unsupervised Learning in Space and Time: A Modern Approach for Computer Vision using Graph-based Techniques and Deep Neural Networks (Advances in Computer Vision and Pattern Recognition)
by Marius LeordeanuThis book addresses one of the most important unsolved problems in artificial intelligence: the task of learning, in an unsupervised manner, from massive quantities of spatiotemporal visual data that are available at low cost. The book covers important scientific discoveries and findings, with a focus on the latest advances in the field. Presenting a coherent structure, the book logically connects novel mathematical formulations and efficient computational solutions for a range of unsupervised learning tasks, including visual feature matching, learning and classification, object discovery, and semantic segmentation in video. The final part of the book proposes a general strategy for visual learning over several generations of student-teacher neural networks, along with a unique view on the future of unsupervised learning in real-world contexts. Offering a fresh approach to this difficult problem, several efficient, state-of-the-art unsupervised learning algorithms are reviewed in detail, complete with an analysis of their performance on various tasks, datasets, and experimental setups. By highlighting the interconnections between these methods, many seemingly diverse problems are elegantly brought together in a unified way. Serving as an invaluable guide to the computational tools and algorithms required to tackle the exciting challenges in the field, this book is a must-read for graduate students seeking a greater understanding of unsupervised learning, as well as researchers in computer vision, machine learning, robotics, and related disciplines.