Therefore, this book provides the fundamental concepts and techniques of real analysis for readers in all of these areas. It helps one develop the ability to think deductively, analyze mathematical situations and extend ideas to a new context. Like the first two editions, this edition maintains the same spirit and user-friendly approach with some streamlined arguments, a few new examples, rearranged topics, and a new chapter on the Generalized Riemann Integral.

    Offering time-tested problems, conceptual and visual pedagogy, and a state-of-the-art media package, this 11th edition looks to the future of university physics, in terms of both content and approach.

    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

    That’s a mistake, Tim Harford says in The Data Detective. We shouldn’t be suspicious of statistics—we need to understand what they mean and how they can improve our lives: they are, at heart, human behavior seen through the prism of numbers and are often “the only way of grasping much of what is going on around us.” If we can toss aside our fears and learn to approach them clearly—understanding how our own preconceptions lead us astray—statistics can point to ways we can live better and work smarter.As “perhaps the best popular economics writer in the world” (New Statesman), Tim Harford is an expert at taking complicated ideas and untangling them for millions of readers. In The Data Detective, he uses new research in science and psychology to set out ten strategies for using statistics to erase our biases and replace them with new ideas that use virtues like patience, curiosity, and good sense to better understand ourselves and the world. As a result, The Data Detective is a big-idea book about statistics and human behavior that is fresh, unexpected, and insightful.

    We all sense that, but Mervyn King knows it firsthand; his ten years at the helm of the Bank of England, including at the height of the financial crisis, revealed profound truths about the mechanisms of our capitalist society. In The End of Alchemy he offers us an essential work about the history and future of money and banking, the keys to modern finance.The Industrial Revolution built the foundation of our modern capitalist age. Yet the flowering of technological innovations during that dynamic period relied on the widespread adoption of two much older ideas: the creation of paper money and the invention of banks that issued credit. We take these systems for granted today, yet at their core both ideas were revolutionary and almost magical. Common paper became as precious as gold, and risky long-term loans were transformed into safe short-term bank deposits. As King argues, this is financial alchemy—the creation of extraordinary financial powers that defy reality and common sense. Faith in these powers has led to huge benefits; the liquidity they create has fueled economic growth for two centuries now. However, they have also produced an unending string of economic disasters, from hyperinflations to banking collapses to the recent global recession and current stagnation.How do we reconcile the potent strengths of these ideas with their inherent weaknesses? King draws on his unique experience to present fresh interpretations of these economic forces and to point the way forward for the global economy. His bold solutions cut through current overstuffed and needlessly complex legislation to provide a clear path to durable prosperity and the end of overreliance on the alchemy of our financial ancestors.

    In fact it was a dramatic caesura of global significance that spiraled around the world, from the financial markets of the UK and Europe to the factories and dockyards of Asia, the Middle East, and Latin America, forcing a rearrangement of global governance. In the United States and Europe, it caused a fundamental reconsideration of capitalist democracy, eventually leading to the war in the Ukraine, the chaos of Greece, Brexit, and Trump.It was the greatest crisis to have struck Western societies since the end of the Cold War, but was it inevitable? And is it over? Crashed is a dramatic new narrative resting on original themes: the haphazard nature of economic development and the erratic path of debt around the world; the unseen way individual countries and regions are linked together in deeply unequal relationships through financial interdependence, investment, politics, and force; the ways the financial crisis interacted with the spectacular rise of social media, the crisis of middle-class America, the rise of China, and global struggles over fossil fuels.Finally, Tooze asks, given this history, what now are the prospects for a liberal, stable, and coherent world order?

    A comprehensive introduction to the subject, this book shows in detail how such problems can be solved numerically with great efficiency. The focus is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. The text contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance, and economics.

    It is the technology behind photo tagging systems at Facebook and Google, self-driving cars, speech recognition systems on your smartphone, and much more.In particular, Deep learning excels at solving machine perception problems: understanding the content of image data, video data, or sound data. Here's a simple example: say you have a large collection of images, and that you want tags associated with each image, for example, "dog," "cat," etc. Deep learning can allow you to create a system that understands how to map such tags to images, learning only from examples. This system can then be applied to new images, automating the task of photo tagging. A deep learning model only has to be fed examples of a task to start generating useful results on new data.

    Over the past two centuries or so, capitalism has undergone continual change - economic cycles that lurch from boom to bust - and has always emerged transformed and strengthened. Surveying this turbulent history, Paul Mason wonders whether today we are on the brink of a change so big, so profound, that this time capitalism itself, the immensely complex system by which entire societies function, has reached its limits and is changing into something wholly new.At the heart of this change is information technology: a revolution that, as Mason shows, has the potential to reshape utterly our familiar notions of work, production and value; and to destroy an economy based on markets and private ownership - in fact, he contends, it is already doing so. Almost unnoticed, in the niches and hollows of the market system, whole swathes of economic life are changing.. Goods and services that no longer respond to the dictates of neoliberalism are appearing, from parallel currencies and time banks, to cooperatives and self-managed online spaces. Vast numbers of people are changing their behaviour, discovering new forms of ownership, lending and doing business that are distinct from, and contrary to, the current system of state-backed corporate capitalism.In this groundbreaking book Mason shows how, from the ashes of the recent financial crisis, we have the chance to create a more socially just and sustainable global economy. Moving beyond capitalism, he shows, is no longer a utopian dream. This is the first time in human history in which, equipped with an understanding of what is happening around us, we can predict and shape, rather than simply react to, seismic change.

    Deciding whether to build another power generation plant in the next five years requires forecasts of future demand. Scheduling staff in a call centre next week requires forecasts of call volumes. Stocking an inventory requires forecasts of stock requirements. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly. Examples use R with many data sets taken from the authors' own consulting experience.

    Financial Modeling bridgesthis gap between theory and practice by providing a nuts-and-bolts guide to solvingcommon financial models with spreadsheets. Simon Benninga takes the reader step bystep through each model, showing how it can be solved using Microsoft Excel. Thelong-awaited third edition of this standard text maintains the "cookbook"features and Excel dependence that have made the first and second editions sopopular. It also offers significant new material, with new chapters covering suchtopics as bank valuation, the Black-Litterman approach to portfolio optimization, Monte Carlo methods and their applications to option pricing, and using arrayfunctions and formulas. Other chapters, including those on basic financialcalculations, portfolio models, calculating the variance-covariance matrix, andgenerating random numbers, have been revised, with many offering substantially newand improved material. Other areas covered include financial statement modeling, leasing, standard portfolio problems, value at risk (VaR), real options, durationand immunization, and term structure modeling. Technical chapters treat such topicsas data tables, matrices, the Gauss-Sidel method, and tips for using Excel. The lastsection of the text covers the Visual Basic for Applications (VBA) techniques neededfor the book. The accompanying CD contains Excel worksheets and solutions toend-of-chapter exercises.Simon Benninga is Dean of the Facultyand Professor of Finance at Tel Aviv University and Visiting Professor of Finance atthe Wharton School at the University of Pennsylvania.

    The economic narratives that underpinned these eras—the gold standard, the Bretton Woods regime, the "Washington Consensus"—brought great success and great failure. In this eloquent challenge to the reigning wisdom on globalization, Dani Rodrik offers a new narrative, one that embraces an ineluctable tension: we cannot simultaneously pursue democracy, national self-determination, and economic globalization. When the social arrangements of democracies inevitably clash with the international demands of globalization, national priorities should take precedence. Combining history with insight, humor with good-natured critique, Rodrik's case for a customizable globalization supported by a light frame of international rules shows the way to a balanced prosperity as we confront today's global challenges in trade, finance, and labor markets.

    Since its introduction in 1978, this book has charted and followed this volatile world of financial markets. Charles Kindleberger's brilliant, panoramic history revealed how financial crises follow a nature-like rhythm: they peak and purge, swell and storm. Now this newly revised and expanded Fourth Edition probes the most recent "natural disasters" of the markets--from the difficulties in East Asia and the repercussions of the Mexican crisis to the 1992 Sterling crisis. His sharply drawn history confronts a host of key questions. Charles P. Kindleberger (Boston, MA) was the Ford Professor of Economics at MIT for thirty-three years. He is a financial historian and prolific writer who has published over twenty-four books.

    In contrast, they have advanced a policy of draconian budget cuts--austerity--to solve the financial crisis. We are told that we have all lived beyond our means and now need to tighten our belts. This view conveniently forgets where all that debt came from. Not from an orgy of government spending, but as the direct result of bailing out, recapitalizing, and adding liquidity to the broken banking system. Through these actions private debt was rechristened as government debt while those responsible for generating it walked away scot free, placing the blame on the state, and the burden on the taxpayer. That burden now takes the form of a global turn to austerity, the policy of reducing domestic wages and prices to restore competitiveness and balance the budget. The problem, according to political economist Mark Blyth, is that austerity is a very dangerous idea. First of all, it doesn't work. As the past four years and countless historical examples from the last 100 years show, while it makes sense for any one state to try and cut its way to growth, it simply cannot work when all states try it simultaneously: all we do is shrink the economy. In the worst case, austerity policies worsened the Great Depression and created the conditions for seizures of power by the forces responsible for the Second World War: the Nazis and the Japanese military establishment. As Blyth amply demonstrates, the arguments for austerity are tenuous and the evidence thin. Rather than expanding growth and opportunity, the repeated revival of this dead economic idea has almost always led to low growth along with increases in wealth and income inequality. Austerity demolishes the conventional wisdom, marshaling an army of facts to demand that we austerity for what it is, and what it costs us.

    But in the advanced economies there is mounting evidence that ever-increasing consumption adds little to human happiness and may even impede it. More urgently, it is now clear that the ecosystems that sustain our economies are collapsing under the impacts of rising consumption. Unless we can radically lower the environmental impact of economic activity - and there is no evidence to suggest that we can - we will have to devise a path to prosperity that does not rely on continued growth.Economic heresy? Or an opportunity to improve the sources of well-being, creativity and lasting prosperity that lie outside the realm of the market? Tim Jackson provides a credible vision of how human society can flourish �1/2 within the ecological limits of a finite planet. Fulfilling this vision is simply the most urgent task of our times.This book is a substantially revised and updated version of Jackson's controversial study for the Sustainable Development Commission, an advisory body to the UK Government. The study rapidly became the most downloaded report in the Commission's nine year history when it was launched earlier this year.