Most of the time this math works quietly behind the scenes . . . until it doesn't. All sorts of seemingly innocuous mathematical mistakes can have significant consequences.Math is easy to ignore until a misplaced decimal point upends the stock market, a unit conversion error causes a plane to crash, or someone divides by zero and stalls a battleship in the middle of the ocean.Exploring and explaining a litany of glitches, near misses, and mathematical mishaps involving the internet, big data, elections, street signs, lotteries, the Roman Empire, and an Olympic team, Matt Parker uncovers the bizarre ways math trips us up, and what this reveals about its essential place in our world. Getting it wrong has never been more fun.

    What made ancient India the Golden Bird in the first place? What did China, the Land of the Dragon, have in common with India, and when did these two ancient civilizations diverge on their paths to global success? Raina Singhwi Jain discusses the immediate need and measures for a quantum jump in our attitude towards development. While conventional wisdom suggests improvements in manufacturing, the ease of doing business and digital technology, Jain goes a step further, drawing surprising parallels between other areas that beg our attention—process engineering, communication design, journalism, and education. This is a work of reflection and a call to action, urging Indian denizens to act now for a revival of the genius that lies dormant within each one of us.

    The debate has been mostly marked by mud-slinging and name-calling and the debates that have ensued often have no basis in fact. While most people have a hazy notion of black money, only a few are able to unpack the concept to reveal its various shades.In this e-single, which is part of a larger, ongoing work, Prof. R. Vaidyanathan provides the reader with a brief overview of black money—its generation, its estimates and how and why it is spirited away to tax havens. This is a unique, timely work that packs in much information and offers a 360-degree view of the issue.Prof. R. Vaidyanathan recently retired from IIM, Bangalore as Professor of Finance. He is now Cho S Ramaswamy Visiting Professor of Public Policy at Sastra University, Thanjavur.

    We often overlook the historical link between mathematics and technological advances, says Stewart—but this connection is integral to any complete understanding of human history.Equations are modeled on the patterns we find in the world around us, says Stewart, and it is through equations that we are able to make sense of, and in turn influence, our world. Stewart locates the origins of each equation he presents—from Pythagoras's Theorem to Newton's Law of Gravity to Einstein's Theory of Relativity—within a particular historical moment, elucidating the development of mathematical and philosophical thought necessary for each equation's discovery. None of these equations emerged in a vacuum, Stewart shows; each drew, in some way, on past equations and the thinking of the day. In turn, all of these equations paved the way for major developments in mathematics, science, philosophy, and technology. Without logarithms (invented in the early 17th century by John Napier and improved by Henry Briggs), scientists would not have been able to calculate the movement of the planets, and mathematicians would not have been able to develop fractal geometry. The Wave Equation is one of the most important equations in physics, and is crucial for engineers studying the vibrations in vehicles and the response of buildings to earthquakes. And the equation at the heart of Information Theory, devised by Claude Shannon, is the basis of digital communication today.An approachable and informative guide to the equations upon which nearly every aspect of scientific and mathematical understanding depends, In Pursuit of the Unknown is also a reminder that equations have profoundly influenced our thinking and continue to make possible many of the advances that we take for granted.

    New 'Consolidation' sections and questions designed to provide a link between GCSE and A-level feature in the text.At the end of each section there are many questions - ideal for consolidation and revision - mainly from past A-level examination papers. Over 15 of these past-paper questions have been added in the Fourth Edition. Answers are included.

    To its adherents, it is an elegant statement about learning from experience. To its opponents, it is subjectivity run amok.In the first-ever account of Bayes' rule for general readers, Sharon Bertsch McGrayne explores this controversial theorem and the human obsessions surrounding it. She traces its discovery by an amateur mathematician in the 1740s through its development into roughly its modern form by French scientist Pierre Simon Laplace. She reveals why respected statisticians rendered it professionally taboo for 150 years—at the same time that practitioners relied on it to solve crises involving great uncertainty and scanty information (Alan Turing's role in breaking Germany's Enigma code during World War II), and explains how the advent of off-the-shelf computer technology in the 1980s proved to be a game-changer. Today, Bayes' rule is used everywhere from DNA de-coding to Homeland Security.Drawing on primary source material and interviews with statisticians and other scientists, The Theory That Would Not Die is the riveting account of how a seemingly simple theorem ignited one of the greatest controversies of all time.

     In MATH WITH BAD DRAWINGS, Ben Orlin answers math's three big questions: Why do I need to learn this? When am I ever going to use it? Why is it so hard? The answers come in various forms-cartoons, drawings, jokes, and the stories and insights of an empathetic teacher who believes that math should belong to everyone.Eschewing the tired old curriculum that begins in the wading pool of addition and subtraction and progresses to the shark infested waters of calculus (AKA the Great Weed Out Course), Orlin instead shows us how to think like a mathematician by teaching us a new game of Tic-Tac-Toe, how to understand an economic crisis by rolling a pair of dice, and the mathematical reason why you should never buy a second lottery ticket. Every example in the book is illustrated with his trademark "bad drawings," which convey both his humor and his message with perfect pitch and clarity. Organized by unconventional but compelling topics such as "Statistics: The Fine Art of Honest Lying," "Design: The Geometry of Stuff That Works," and "Probability: The Mathematics of Maybe," MATH WITH BAD DRAWINGS is a perfect read for fans of illustrated popular science.

    As of January 14, 2016, this is an unverified document. NOTE: this document has been reformatted for the Kindle. It can be searched, bookmarked, annotated, etc. It is not a dump of the PDF.

    This book is written in a simple manner for readers to understand the various terminologies and working process of the financial markets. If you are looking to understand and enter the stock markets but don't know from where to start, then this book is for you. The basic concepts are same for Indian and overseas markets so it will help you understanding both. It will help you as a reference guide for investing in stock markets. Specifically it will help you in:- 1. Know basic terms and conditions of the stock market. 2. Know products and services associated with the stock market. 3. Know how to kick start in stock markets. 4. know Do's and Don'ts in Stock Markets. 5. Selecting a broker. 6. How to make your first trade. 7. Additional mental mastering technique that will help you to achieve more on markets as well in life. 8. Insight of a trader/investor who has more than 10+ years of experience in stock markets. 9. Illustrated examples for more clarity on topics.

    This supplement will cater to the requirements of students by covering all important topics of Laplace transformation, Matrices, Numerical Methods. Further enhanced is its usability by inclusion of chapter end questions in sync with student needs. Table of contents: 1. Basic Concepts 2. An Introduction to Modeling and Qualitative Methods 3. Classification of First-Order Differential Equations 4. Separable First-Order Differential Equations 5. Exact First-order Differential Equations 6. Linear First-Order Differential Equations 7. Applications of First-Order Differential Equations 8. Linear Differential Equations: Theory of Solutions 9. Second-Order Linear Homogeneous Differential Equations with Constant Coefficients 10. nth-Order Linear Homogeneous Differential Equations with Constant Coefficients 11. The Method of Undetermined Coefficients 12. Variation of Parameters 13. Initial-Value Problems for Linear Differential Equations 14. Applications of Second-Order Linear Differential Equations 15. Matrices 16. eAt 17. Reduction of Linear Differential Equations to a System of First-Order Equations 18. Existence and Uniqueness of Solutions 19. Graphical and Numerical Methods for Solving First-Order Differential Equations 20. Further Numerical Methods for Solving First-Order Differential Equations 21. Numerical Methods for Solving Second-Order Differential Equations Via Systems 22. The Laplace Transform 23. Inverse Laplace Transforms 24. Convolutions and the Unit Step Function 25. Solutions of Linear Differential Equations with Constant Coefficients by Laplace Transforms 26. Solutions of Linear?Systems by Laplace Transforms 27. Solutions of Linear Differential Equations with Constant Coefficients by Matrix Methods 28. Power Series Solutions of Linear Differential Equations with Variable Coefficients 29. Special Functions 30. Series Solutions N

    Crease tells the stories behind ten of the greatest equations in human history. Was Nobel laureate Richard Feynman really joking when he called Maxwell's electromagnetic equations the most significant event of the nineteenth century? How did Newton's law of gravitation influence young revolutionaries? Why has Euler's formula been called "God's equation," and why did a mysterious ecoterrorist make it his calling card? What role do betrayal, insanity, and suicide play in the second law of thermodynamics?The Great Equations tells the stories of how these equations were discovered, revealing the personal struggles of their ingenious originators. From "1 + 1 = 2" to Heisenberg's uncertainty principle, Crease locates these equations in the panoramic sweep of Western history, showing how they are as integral to their time and place of creation as are great works of art.

    Now, at a moment when mathematicians are finally moving in on a proof, Dartmouth professor Dan Rockmore tells the riveting history of the hunt for a solution.In 1859 German professor Bernhard Riemann postulated a law capable of describing with an amazing degree of accuracy the occurrence of the prime numbers. Rockmore takes us all the way from Euclid to the mysteries of quantum chaos to show how the Riemann hypothesis lies at the very heart of some of the most cutting-edge research going on today in physics and mathematics.

    Rocketed to popularity by the 2003 bestseller Moneyball and the film of the same name, the use of sabermetrics to analyze player performance has appeared to be a David to the Goliath of systemically advantaged richer teams that could be toppled only by creative statistical analysis. The story has been so compelling that, over the past decade, team after team has integrated statistical analysis into its front office. But how accurately can crunching numbers quantify a player's ability? Do sabermetrics truly level the playing field for financially disadvantaged teams? How much of the baseball analytic trend is fad and how much fact?The Sabermetric Revolution sets the record straight on the role of analytics in baseball. Former Mets sabermetrician Benjamin Baumer and leading sports economist Andrew Zimbalist correct common misinterpretations and develop new methods to assess the effectiveness of sabermetrics on team performance. Tracing the growth of front office dependence on sabermetrics and the breadth of its use today, they explore how Major League Baseball and the field of sports analytics have changed since the 2002 season. Their conclusion is optimistic, but the authors also caution that sabermetric insights will be more difficult to come by in the future. The Sabermetric Revolution offers more than a fascinating case study of the use of statistics by general managers and front office executives: for fans and fantasy leagues, this book will provide an accessible primer on the real math behind moneyball as well as new insight into the changing business of baseball.

    First, it is ridiculed. Second, it is violently opposed. Third, it is accepted as self-evident." --Arthur SchopenhauerThe Ponzi Factor is the most comprehensive research ever compiled on the negative-sum nature of capital gains (non-dividend stocks). The book shows why, as a whole, ALL investors will lose money from buying and selling stocks.Most people don’t realize that profits from buying and selling stocks come from other investors who are also buying and selling stocks. When one investor buys low and sells high, another investor is also buying high and needs to sell for even higher. Companies like Google, Telsa, Facebook never pay their investors. Their investors’ profits are dependent on the inflow of money from new investors, which by definition, is how a Ponzi scheme works.This book is not for everyone. If you are a finance junkie who wants to rationalize why companies don’t have to pay their investors and believe a system that shuffles money between investor can magically create more money than people contribute, then this book is not for you. On the other hand, if you understand why we can’t create money by shuffling it with imaginary paper, and that investors invest because they want money, not value, then you will learn something you will never forget: The mechanics of how the stock market works and what really makes a stock price move.A stock without dividends is a Ponzi asset. It’s not how equity instruments were designed to work historically and not how ownership instruments are supposed to work logically. The Ponzi Factor is not a perspective or an opinion. It is a proof that is based on definition, logic, and it is supported by observable facts and history. This is not a story that will disappear after another market crash. It is an idea that will remain relevant for as long as the stock market exists.Lastly, to critics, the naysayer, and the finance junkies who think the imaginary value = cash. The author will award $20,000 to anyone who can show why non-dividend stocks DO NOT meet the definition of a Ponzi scheme. That’s $20,000 in cash, not value. (Details on this book's website. The Ponzi Factor. Proof by Definition.)

    Economics, finance, business & management