An abundance of applications to current economic analysis, illustrative diagrams, thought-provoking exercises, careful proofs, and a flexible organization-these are the advantages that Mathematics for Economists brings to today’s classroom.

    KEY TOPICS: This classic book enables readers to make connections between classical and modern physics - an indispensable part of a physicist's education. In this new edition, Beams Medal winner Charles Poole and John Safko have updated the book to include the latest topics, applications, and notation, to reflect today's physics curriculum. They introduce readers to the increasingly important role that nonlinearities play in contemporary applications of classical mechanics. New numerical exercises help readers to develop skills in how to use computer techniques to solve problems in physics. Mathematical techniques are presented in detail so that the book remains fully accessible to readers who have not had an intermediate course in classical mechanics. MARKET: For college instructors and students.

    It includes discussions of topics that have become vital to a modern treatment of GFT, such as critical phenomena, lattice gauge theory, supersymmetry, quantum gravity, supergravity, and superstrings.

    But, Alex Bellos says, "math can be inspiring and brilliantly creative. Mathematical thought is one of the great achievements of the human race, and arguably the foundation of all human progress. The world of mathematics is a remarkable place."Bellos has traveled all around the globe and has plunged into history to uncover fascinating stories of mathematical achievement, from the breakthroughs of Euclid, the greatest mathematician of all time, to the creations of the Zen master of origami, one of the hottest areas of mathematical work today. Taking us into the wilds of the Amazon, he tells the story of a tribe there who can count only to five and reports on the latest findings about the math instinct--including the revelation that ants can actually count how many steps they've taken. Journeying to the Bay of Bengal, he interviews a Hindu sage about the brilliant mathematical insights of the Buddha, while in Japan he visits the godfather of Sudoku and introduces the brainteasing delights of mathematical games.Exploring the mysteries of randomness, he explains why it is impossible for our iPods to truly randomly select songs. In probing the many intrigues of that most beloved of numbers, pi, he visits with two brothers so obsessed with the elusive number that they built a supercomputer in their Manhattan apartment to study it. Throughout, the journey is enhanced with a wealth of intriguing illustrations, such as of the clever puzzles known as tangrams and the crochet creation of an American math professor who suddenly realized one day that she could knit a representation of higher dimensional space that no one had been able to visualize. Whether writing about how algebra solved Swedish traffic problems, visiting the Mental Calculation World Cup to disclose the secrets of lightning calculation, or exploring the links between pineapples and beautiful teeth, Bellos is a wonderfully engaging guide who never fails to delight even as he edifies. "Here's Looking at Euclid "is a rare gem that brings the beauty of math to life.

    The first chapter describes basic features of the program and shows how to use it in simple arithmetic operations with scalars. The next two chapters focus on the topic of arrays (the basis of MATLAB), while the remaining text covers a wide range of other applications. Computer screens, tutorials, samples, and homework questions in math, science, and engineering, provide the student with the practical hands-on experience needed for total proficiency.

    The 4th Edition of this AJN Book-of-the-Year award winner has been thoroughly updated to deliver even more resources and tools, plus new DSM-5 content. "Psych Notes is packed with all of the essential content necessary to REVIEW (you should also have expanded knowledge of this content) and pass the ANCC PMHNP certification exam. You will be astonished with the depth and breadth of information contained in this easy to read and use (spiral bound) book. Be sure to access the online information that accompanies this book, too as it contains a grid comparing the changes from DSM-IV and DSM-5!" --Sandra Hannon-Engel, Ph.D., RN, CNS, PMHNP, Assistant Professor, William F. Connell School of Nursing, Boston College, Boston, MA. "It's a pretty good book for both nursing students and practicing RN's. No matter what specialty you're in you'll come across patients that are psychologically unstable and this book gives you a quick and easy reference to your needs. Everything is laid out in simple form and focuses on the most pertinent topics in psych." - Jim Astapan, Amazon.com "Very good source for fast references." - Ileana, Amazon.com "An amazingly complete collection of all that pertains to psych/mental health care. An easy to use resource and a wonderful review." - Camille Grosso, Ph.D., R.N.

    Readers are provided once again with an instructive mix of mathematics, physics, statistics, and information theory.All the essential topics in information theory are covered in detail, including entropy, data compression, channel capacity, rate distortion, network information theory, and hypothesis testing. The authors provide readers with a solid understanding of the underlying theory and applications. Problem sets and a telegraphic summary at the end of each chapter further assist readers. The historical notes that follow each chapter recap the main points.The Second Edition features: * Chapters reorganized to improve teaching * 200 new problems * New material on source coding, portfolio theory, and feedback capacity * Updated referencesNow current and enhanced, the Second Edition of Elements of Information Theory remains the ideal textbook for upper-level undergraduate and graduate courses in electrical engineering, statistics, and telecommunications.

    Inside, you will find over 200 facts about the Titanic. There are facts about: • Building the Titanic • Crew of the Titanic • Passengers of the Titanic • Interior of the Titanic • Maiden voyage of the Titanic • Sinking of the Titanic • Survivors of the Titanic • Museums of the Titanic • Movies about the Titanic • Titanic’s legacy Ready? Let’s go back to Titanic…

    Reflecting the need for even minor programming in today's model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work.The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation.By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling.Web ResourceThe book is accompanied by an R package (rethinking) that is available on the author's website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.

    This second edition is appropriate as a supplementary (companion) text for any college-level course covering digital signal processing.

    In a self-contained manner it proceeds from mathematical and theoretical considerations to actual practical computer routines. With over 100 new routines bringing the total to well over 300, plus upgraded versions of the original routines, the new edition remains the most practical, comprehensive handbook of scientific computing available today.

     Approaching or beginning retirement is a milestone event. For most of our lives retirement feels like it’s on the distant horizon, something to think about tomorrow rather than today. When the day finally does arrive, for many it can feel a little daunting and overwhelming – how should one spend all this new found free time? Olivia Greenwell has the answers, with friendly advice on: How to navigate your way through the questions you may have New opportunities that could present themselves in retirement How to find further information on the exciting opportunities presented As you experience the wonderful peace and contentment of retirement, this book will help you discover what makes you happy, and how to enjoy your life to the fullest. What are you waiting for? Start living the retirement you always dreamt of, by uncovering all the tools you need today!

    Python is easy to learn, and it's perfect for exploring topics like statistics, geometry, probability, and calculus. You’ll learn to write programs to find derivatives, solve equations graphically, manipulate algebraic expressions, even examine projectile motion.Rather than crank through tedious calculations by hand, you'll learn how to use Python functions and modules to handle the number crunching while you focus on the principles behind the math. Exercises throughout teach fundamental programming concepts, like using functions, handling user input, and reading and manipulating data. As you learn to think computationally, you'll discover new ways to explore and think about math, and gain valuable programming skills that you can use to continue your study of math and computer science.If you’re interested in math but have yet to dip into programming, you’ll find that Python makes it easy to go deeper into the subject—let Python handle the tedious work while you spend more time on the math.

    This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way. You’ll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

    These intriguing problems, collected from Gardner's Scientific American columns, involve knots, interlocking rings, rotations and reflections, logical paradox, two-dimensional universes, chess strategies, and gambling odds."Gardner conjures problems that are both profound and silly; exquisite truths and outrageous absurdities; paradoxes, anagrams, palindromes and party tricks. . . . He knows, better than most, how many amazing true things there are in the world."—Newsweek