Inside PFTB (Proofs from The Book) is indeed a glimpse of mathematical heaven, where clever insights and beautiful ideas combine in astonishing and glorious ways. There is vast wealth within its pages, one gem after another. Some of the proofs are classics, but many are new and brilliant proofs of classical results. ...Aigner and Ziegler... write: ..". all we offer is the examples that we have selected, hoping that our readers will share our enthusiasm about brilliant ideas, clever insights and wonderful observations." I do. ... " Notices of the AMS, August 1999..". the style is clear and entertaining, the level is close to elementary ... and the proofs are brilliant. ..." LMS Newsletter, January 1999This third edition offers two new chapters, on partition identities, and on card shuffling. Three proofs of Euler's most famous infinite series appear in a separate chapter. There is also a number of other improvements, such as an exciting new way to "enumerate the rationals."

    Numerous examples are provided to reinforce the concepts and relevant case studies illustrate the concepts and mechanisms described.

    For the core Auditing course for accounting majors, this text contains topics that appear as they would during the audit planning and execution stage rather than as isolated pieces of information.

    The 9th edition continues to examine the strategic choices in managing total compensation. The total compensation model introduced in chapter one serves as an integrating framework throughout the book. The authors discuss major compensation issues in the context of current theory, research, and real-business practices. Milkovich and Newman strive to differentiate beliefs and opinions from facts and scholarly research. They illustrate new developments in compensation practices as well as established approaches to compensation decisions.

    Now that machine learning is thriving, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn how to use a range of techniques, starting with simple Linear Regression and progressing to Deep Neural Networks. If you have some programming experience and you’re ready to code a machine learning project, this guide is for you.This hands-on book shows you how to use:Scikit-Learn, an accessible framework that implements many algorithms efficiently and serves as a great machine learning entry pointTensorFlow, a more complex library for distributed numerical computation, ideal for training and running very large neural networksPractical code examples that you can apply without learning excessive machine learning theory or algorithm details

    This book will offer students a broad outline of essential mathematics and will help to fill in the gaps in their knowledge. The author explains the basic points and a few key results of all the most important undergraduate topics in mathematics, emphasizing the intuitions behind the subject. The topics include linear algebra, vector calculus, differential and analytical geometry, real analysis, point-set topology, probability, complex analysis, set theory, algorithms, and more. An annotated bibliography offers a guide to further reading and to more rigorous foundations.

    The text offers a flexible organization, enabling instructors to adapt the book to their particular courses. The book is both complete and careful, and it continues to maintain its emphasis on algorithms and applications. Excellent exercise sets allow students to perfect skills as they practice. This new edition continues to feature numerous computer science applications-making this the ideal text for preparing students for advanced study.

    The most thorough and well-written text in the field, Family Therapy: History, Theory, and Practice, now in its fourth edition, is a comprehensive and developmental textbook that covers all aspects of working with families. The author begins by helping students understand the differences between functional and dysfunctional families, then goes onto explain the basic processes involved in treating couples and families before it delves into a dozen theoretical ways of treating families. Readers will also learn about the history of family therapy, multicultural aspects of family therapy, ways of working with various types of families, ethical and legal issues involved in family therapy, and ways of assessing families. 250 new sources; a new chapter on how to work with couples and marriages in enriching and therapeutic ways; more on diversity issues including working with different forms of European American families, and expanded coverage of working with African-American, Native American Indian, Hispanic/Latino, and Asian-American families; an added section on dealing with infidelity in the addiction/abuse chapter; coverage of transition issues including working with military deployment or extended work assignments; and more information on managed care issues.

    What began more than sixty years ago as a modest proposal that a mathematician and an economist write a short paper together blossomed, in 1944, when Princeton University Press published Theory of Games and Economic Behavior. In it, John von Neumann and Oskar Morgenstern conceived a groundbreaking mathematical theory of economic and social organization, based on a theory of games of strategy. Not only would this revolutionize economics, but the entirely new field of scientific inquiry it yielded--game theory--has since been widely used to analyze a host of real-world phenomena from arms races to optimal policy choices of presidential candidates, from vaccination policy to major league baseball salary negotiations. And it is today established throughout both the social sciences and a wide range of other sciences.This sixtieth anniversary edition includes not only the original text but also an introduction by Harold Kuhn, an afterword by Ariel Rubinstein, and reviews and articles on the book that appeared at the time of its original publication in the New York Times, tthe American Economic Review, and a variety of other publications. Together, these writings provide readers a matchless opportunity to more fully appreciate a work whose influence will yet resound for generations to come.

    Since the publication of the First Edition over thirty years ago, Div, Grad, Curl, and All That has been widely renowned for its clear and concise coverage of vector calculus, helping science and engineering students gain a thorough understanding of gradient, curl, and Laplacian operators without required knowledge of advanced mathematics.

    Steven M. Cahn brings together a rich, balanced, and wide-ranging collection of forty classic and contemporary readings. Most importantly, he has carefully edited the articles so that they will be exceptionally clear and understandable to undergraduate students. The selections are organized into three parts, providing instructors with flexibility in designing and teaching a variety of ethics courses. The first part, Challenges to Morality, considers the overly simple assumptions that beginning students may bring to moral issues. The second part, Moral Theories, provides selections from the most influential ethical theories of the past along with commentary by contemporary thinkers. The third part, Moral Problems, offers opposing perspectives on nine controversial issues: abortion, euthanasia, world hunger, terrorism, pornography, affirmative action, animal rights, the environment, and capital punishment. Exploring Ethics features selections from Plato, Aristotle, Hobbes, Kant, Mill, Nietzsche, Thomas Nagel, James Rachels, John Rawls, Tom Regan, Peter Singer, Susan Wolf, and many others. Each reading is preceded by a detailed introduction and followed by study questions that encourage students to think philosophically. Ideal for courses in introduction to ethics or contemporary moral problems, this unique anthology can be used independently or as a companion to a single-authored text. An Instructor's Manual and Companion Website accompany the text. The instructor's materials include a testbank, key terms with definitions, reading summaries, and PowerPoint lectur

    Each case includes an extended discussion, definition of terms, clinical pearls, and USMLE format review questions. This interactive learning system is proven to improve shelf-exam scores and helps students to learn in the context of real patients insted of simply memorizing.

    Inside: Logic Resource CD-ROM

    Psychology of Learning for Instruction, Third Edition, focuses on the applications and implications of the learning theories. Using excellent examples ranging from primary school instruction to corporate training, this text combines the latest thinking and research to give readers the opportunity to explore the individual theories as viewed by the experts. Readers are encouraged to apply "reflective practice," which is designed to foster a critical and reflective mode of thinking when considering any particular approach to learning and instruction. Provides readers with the practical knowledge needed to apply learning theories to instruction. KEY TOPICS: This text addresses learning as it relates to behavior, cognition, development, biology, motivation and instruction. MARKET: Pre-service and in-service teachers, and educational psychologists.

    Provides a review of introductory noncalculus-based physics for those who do not have a strong background in mathematics.