You’re probably reading this because, well, you feel the same way.Perhaps you’re worried about one specific scenario (the death of the banking system, hyperinflation or something else) but then again, maybe you’re not able to identify specific threats. Instead, you just feel “something” is wrong. You feel it deep down inside and it haunts you.Rightfully so, in my opinion!The Age of Anomaly is here to provide much-needed clarity. My name is Andrei Polgar but a lot of you might know me as “the One Minute Economics guy on YouTube” and I’ve never been an economist who desperately wants to sound intelligent.Instead, through my work, I’ve had one goal and one goal only: making economics easy to understand, something traditional education has failed at remarkably. As time passes, my work is featured in more and more universities all over the world. Students love it, people who already graduated feel the same way and even those who aren’t necessarily interested in economics become fascinated by this often misunderstood but amazing field.Why do people like what I do?For one simple reason: because it works.Through The Age of Anomaly, I’ve made it clear that understanding financial calamities and being prepared doesn’t have to involve rocket science. Anyone can do it and frankly, everyone should do it.I’ve provided a “from A to Z” perspective by:1) Analyzing quite a few hand-picked economic calamities of the past, from the tulip mania to the Great Depression, the Great Recession and even case studies pretty much nobody heard of such as the short domain mania of 2015-20162) Drawing parallels and finding common denominators so as to provide tips that help readers become better and better at spotting financial storms3) Explaining that becoming better at spotting financial storms is just not enough. Even I may very well end up being caught off-guard by the next crash and as such, it makes sense to dedicate just at much energy to becoming more resilient in general so as to better withstand anything life throws your wayBy becoming good at spotting financial storms as well as resilient, you’ll be multiple orders of magnitude (and I consider even this the understatement of the century) better off than the average individual, who blissfully chooses to live in a bubble of ignorance!

    

    Gardner's array of absorbing puzzles and mind-twisting paradoxes opens mathematics up to the world at large, inspiring people to see past numbers and formulas and experience the application of mathematical principles to the mysterious world around them. With articles on topics ranging from simple algebra to the twisting surfaces of Mobius strips, from an endless game of Bulgarian solitaire to the unreachable dream of time travel, this volume comprises a substantial and definitive monument to Gardner's influence on mathematics, science, and culture.In its twelve sections, The Colossal Book of Math explores a wide range of areas, each startlingly illuminated by Gardner's incisive expertise. Beginning with seemingly simple topics, Gardner expertly guides us through complicated and wondrous worlds: by way of basic algebra we contemplate the mesmerizing, often hilarious, linguistic and numerical possibilities of palindromes; using simple geometry, he dissects the principles of symmetry upon which the renowned mathematical artist M. C. Escher constructs his unique, dizzying universe. Gardner, like few thinkers today, melds a rigorous scientific skepticism with a profound artistic and imaginative impulse. His stunning exploration of "The Church of the Fourth Dimension," for example, bridges the disparate worlds of religion and science by brilliantly imagining the spatial possibility of God's presence in the world as a fourth dimension, at once "everywhere and nowhere."With boundless wisdom and his trademark wit, Gardner allows the reader to further engage challenging topics like probability and game theory which have plagued clever gamblers, and famous mathematicians, for centuries. Whether debunking Pascal's wager with basic probability, making visual music with fractals, or uncoiling a "knotted doughnut" with introductory topology, Gardner continuously displays his fierce intelligence and gentle humor. His articles confront both the comfortingly mundane—"Generalized Ticktacktoe" and "Sprouts and Brussel Sprouts"—and the quakingly abstract—"Hexaflexagons," "Nothing," and "Everything." He navigates these staggeringly obscure topics with a deft intelligence and, with addendums and suggested reading lists, he informs these classic articles with new insight.Admired by scientists and mathematicians, writers and readers alike, Gardner's vast knowledge and burning curiosity reveal themselves on every page. The culmination of a lifelong devotion to the wonders of mathematics, The Colossal Book of Mathematics is the largest and most comprehensive math book ever assembled by Gardner and remains an indispensable volume for the amateur and expert alike.

    People of all ages and from all walks of life now spend thousands of hours—and dollars—partaking in this popular new brand of escapism. But the line between fantasy and reality is starting to blur. Players have created virtual societies with governments and economies of their own whose currencies now trade against the dollar on eBay at rates higher than the yen. And the players who inhabit these synthetic worlds are starting to spend more time online than at their day jobs. In Synthetic Worlds, Edward Castronova offers the first comprehensive look at the online game industry, exploring its implications for business and culture alike. He starts with the players, giving us a revealing look into the everyday lives of the gamers—outlining what they do in their synthetic worlds and why. He then describes the economies inside these worlds to show how they might dramatically affect real world financial systems, from potential disruptions of markets to new business horizons. Ultimately, he explores the long-term social consequences of online games: If players can inhabit worlds that are more alluring and gratifying than reality, then how can the real world ever compete? Will a day ever come when we spend more time in these synthetic worlds than in our own? Or even more startling, will a day ever come when such questions no longer sound alarmist but instead seem obsolete? With more than ten million active players worldwide—and with Microsoft and Sony pouring hundreds of millions of dollars into video game development—online games have become too big to ignore. Synthetic Worlds spearheads our efforts to come to terms with this virtual reality and its concrete effects. “Illuminating. . . . Castronova’s analysis of the economics of fun is intriguing. Virtual-world economies are designed to make the resulting game interesting and enjoyable for their inhabitants. Many games follow a rags-to-riches storyline, for example. But how can all the players end up in the top 10%? Simple: the upwardly mobile human players need only be a subset of the world's population. An underclass of computer-controlled 'bot' citizens, meanwhile, stays poor forever. Mr. Castronova explains all this with clarity, wit, and a merciful lack of academic jargon.”—The Economist “Synthetic Worlds is a surprisingly profound book about the social, political, and economic issues arising from the emergence of vast multiplayer games on the Internet. What Castronova has realized is that these games, where players contribute considerable labor in exchange for things they value, are not merely like real economies, they are real economies, displaying inflation, fraud, Chinese sweatshops, and some surprising in-game innovations.”—Tim Harford, Chronicle of Higher Education

    The discussion of problem solving strategies is extensive. It is written for trainers and participants of contests of all levels up to the highest level: IMO, Tournament of the Towns, and the noncalculus parts of the Putnam Competition. It will appeal to high school teachers conducting a mathematics club who need a range of simple to complex problems and to those instructors wishing to pose a "problem of the week", "problem of the month", and "research problem of the year" to their students, thus bringing a creative atmosphere into their classrooms with continuous discussions of mathematical problems. This volume is a must-have for instructors wishing to enrich their teaching with some interesting non-routine problems and for individuals who are just interested in solving difficult and challenging problems. Each chapter starts with typical examples illustrating the central concepts and is followed by a number of carefully selected problems and their solutions. Most of the solutions are complete, but some merely point to the road leading to the final solution. Very few problems have no solutions. Readers interested in increasing the effectiveness of the book can do so by working on the examples in addition to the problems thereby increasing the number of problems to over 1300. In addition to being a valuable resource of mathematical problems and solution strategies, this volume is the most complete training book on the market.

    The rise of the Internet and the wide availability of inexpensive computers have made it possible to gather and analyze network data on a large scale, and the development of a variety of new theoretical tools has allowed us to extract new knowledge from many different kinds of networks.The study of networks is broadly interdisciplinary and important developments have occurred in many fields, including mathematics, physics, computer and information sciences, biology, and the social sciences. This book brings together for the first time the most important breakthroughs in each of these fields and presents them in a coherent fashion, highlighting the strong interconnections between work in different areas.Subjects covered include the measurement and structure of networks in many branches of science, methods for analyzing network data, including methods developed in physics, statistics, and sociology, the fundamentals of graph theory, computer algorithms, and spectral methods, mathematical models of networks, including random graph models and generative models, and theories of dynamical processes taking place on networks.

    Those happen to be the very same traits that define the successful trader. The skills you learn in pursuing your dream—through trading—might just remove money from the list of reasons you think that you can’t fulfill it.This book is about more than trading and personal finance strategies—we propose an entirely new way to evaluate risk, in life as well as in finances. By taking the right risks and ignoring the imagined ones, you’ll be paid with the one priceless commodity that is truly limited in your life—time.

    He believes that we should investigate what makes some countries more capable than others. Complex products—from films to robots, apps to automobiles—are a physical distillation of an economy’s knowledge, a measurable embodiment of its education, infrastructure, and capability. Economic wealth accrues when applications of this knowledge turn ideas into tangible products; the more complex its products, the more economic growth a country will experience.A radical new interpretation of global economics, Why Information Grows overturns traditional assumptions about the development of economies and the origins of wealth and takes a crucial step toward making economics less the dismal science and more the insightful one.

    Publilius Syrus, Moral Sayings We've been very fortunate to receive fantastic feedback from our readers during the last four years, since the first edition of How to Solve It: Modern Heuristics was published in 1999. It's heartening to know that so many people appreciated the book and, even more importantly, were using the book to help them solve their problems. One professor, who published a review of the book, said that his students had given the best course reviews he'd seen in 15 years when using our text. There can be hardly any better praise, except to add that one of the book reviews published in a SIAM journal received the best review award as well. We greatly appreciate your kind words and personal comments that you sent, including the few cases where you found some typographical or other errors. Thank you all for this wonderful support.

    In writing the book James Stewart asked himself: What is essential for a three-semester calculus course for scientists and engineers? Stewart's ESSENTIAL CALCULUS offers a concise approach to teaching calculus that focuses on major concepts and supports those concepts with precise definitions, patient explanations, and carefully graded problems. Essential Calculus is only 850 pages-two-thirds the size of Stewart's other calculus texts (CALCULUS, Fifth Edition and CALCULUS, EARLY TRANSCENDENTALS, Fifth Edition)-and yet it contains almost all of the same topics. The author achieved this relative brevity mainly by condensing the exposition and by putting some of the features on the website, www.StewartCalculus.com. Despite the reduced size of the book, there is still a modern flavor: Conceptual understanding and technology are not neglected, though they are not as prominent as in Stewart's other books. ESSENTIAL CALCULUS has been written with the same attention to detail, eye for innovation, and meticulous accuracy that have made Stewart's textbooks the best-selling calculus texts in the world.

    Now the fifth edition of this classic updates the application of the Graham and Dodd valuation approach for today's greatly changed investment environment.

    You'll find out how to unknot your DNA, how to count like a supercomputer and how to become famous for solving mathematics' most challenging problem.

    Its world-class authors provide guidance on all aspects of Bayesian data analysis and include examples of real statistical analyses, based on their own research, that demonstrate how to solve complicated problems. Changes in the new edition include:Stronger focus on MCMC Revision of the computational advice in Part III New chapters on nonlinear models and decision analysis Several additional applied examples from the authors' recent research Additional chapters on current models for Bayesian data analysis such as nonlinear models, generalized linear mixed models, and more Reorganization of chapters 6 and 7 on model checking and data collectionBayesian computation is currently at a stage where there are many reasonable ways to compute any given posterior distribution. However, the best approach is not always clear ahead of time. Reflecting this, the new edition offers a more pluralistic presentation, giving advice on performing computations from many perspectives while making clear the importance of being aware that there are different ways to implement any given iterative simulation computation. The new approach, additional examples, and updated information make Bayesian Data Analysis an excellent introductory text and a reference that working scientists will use throughout their professional life.

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    In this new treatment of the subject, Hopkins focuses on the many debates surrounding these movements: the Marquis de Sade's Surrealist deification, issues of quality (How good is Dali?), the idea of the 'readymade', attitudes towards the city, the impact of Freud, attitudes to women, fetishism, and primitivism. The international nature of these movements is examined, covering the cities of Zurich, New York, Berlin, Cologne, Barcelona, Paris, London, and recently discovered examples in Eastern Europe. Hopkins explores the huge range of media employed by both Dada and Surrealism (collage, painting, found objects, performance art, photography, film), whilst at the same time establishing the aesthetic differences between the movements. He also examines the Dadaist obsession with the body-as-mechanism in relation to the Surrealists' return to the fetishized/eroticized body.