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Author: B. Dubrulle
Publisher: Springer Science & Business Media
ISBN: 3662097990
Category : Science
Languages : en
Pages : 291
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Book Description
This book is an excellent introduction to the concept of scale invariance, which is a growing field of research with wide applications. It describes where and how symmetry under scale transformation (and its various forms of partial breakdown) can be used to analyze solutions of a problem without the need to explicitly solve it. The first part gives descriptions of tools and concepts; the second is devoted to recent attempts to go beyond the invariance or symmetry breaking, to discuss causes and consequences, and to extract useful information about the system. Examples are carefully worked out in fields as diverse as condensed matter physics, population dynamics, earthquake physics, turbulence, cosmology and finance.
Author: B. Dubrulle
Publisher: Springer Science & Business Media
ISBN: 3662097990
Category : Science
Languages : en
Pages : 291
Get Book Here
Book Description
This book is an excellent introduction to the concept of scale invariance, which is a growing field of research with wide applications. It describes where and how symmetry under scale transformation (and its various forms of partial breakdown) can be used to analyze solutions of a problem without the need to explicitly solve it. The first part gives descriptions of tools and concepts; the second is devoted to recent attempts to go beyond the invariance or symmetry breaking, to discuss causes and consequences, and to extract useful information about the system. Examples are carefully worked out in fields as diverse as condensed matter physics, population dynamics, earthquake physics, turbulence, cosmology and finance.
Author: Patrice Abry
Publisher: Iste Publishing Company
ISBN: 9781905209521
Category : Electronic books
Languages : en
Pages : 0
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Book Description
This book is organized around the notions of scaling phenomena and scale invariance. The various stochastic models commonly used to describe scaling are introduced: self-similarity, long-range dependence and multi-fractals. These models are compared and related one to the other in II-1. Second, they introduce fractional integration, a mathematical tool closely related to the notion of scale invariance. Also, they define stochastic processes with prescribed scaling properties (self similar processes (II-3, locally self-similar processes (I-3), fractionally filtered processes (I-5), Iterated function systems (I-6, II-4)). A number of applications where the scaling paradigm proved fruitful are detailed: image processing (I-6, II-5), financial and stock market fluctuations (I-7), geophysics (II-5), scale relativity and fractal time-space (II-7).
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309287812
Category : Mathematics
Languages : en
Pages : 191
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Book Description
Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data. Frontiers in Massive Data Analysis examines the frontier of analyzing massive amounts of data, whether in a static database or streaming through a system. Data at that scale-terabytes and petabytes-is increasingly common in science (e.g., particle physics, remote sensing, genomics), Internet commerce, business analytics, national security, communications, and elsewhere. The tools that work to infer knowledge from data at smaller scales do not necessarily work, or work well, at such massive scale. New tools, skills, and approaches are necessary, and this report identifies many of them, plus promising research directions to explore. Frontiers in Massive Data Analysis discusses pitfalls in trying to infer knowledge from massive data, and it characterizes seven major classes of computation that are common in the analysis of massive data. Overall, this report illustrates the cross-disciplinary knowledge-from computer science, statistics, machine learning, and application disciplines-that must be brought to bear to make useful inferences from massive data.
Author: G. I. Barenblatt
Publisher: Cambridge University Press
ISBN: 0521826578
Category : Mathematics
Languages : en
Pages : 187
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Book Description
The author describes and teaches the art of discovering scaling laws, starting from dimensional analysis and physical similarity, which are here given a modern treatment. He demonstrates the concepts of intermediate asymptotics and the renormalisation group as natural consequences of self-similarity and shows how and when these notions and tools can be used to tackle the task at hand, and when they cannot. Based on courses taught to undergraduate and graduate students, the book can also be used for self-study by biologists, chemists, astronomers, engineers and geoscientists.
Author: Larry Connors
Publisher: John Wiley & Sons
ISBN: 1118239458
Category : Business & Economics
Languages : en
Pages : 198
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Book Description
For years, traders and investors have been using unproven assumptions about popular patterns such as breakouts, momentum, new highs, new lows, market breadth, put/call ratios and more without knowing if there is a statistical edge. Common wisdom holds that the stock markets are ever changing. But, as it turns out, common wisdom can be wrong. Offering a comprehensive look back at the way the markets have acted over the last two decades, How Markets Really Work: A Quantitative Guide to Stock Market Behavior, Second Edition shows that nothing has changed, that the markets behave the same way today as they have in years past, and that understanding this puts you in a prime position to profit. Written by two top financial experts and filled with charts and graphs that illustrate the market concepts they develop, the book takes a sometimes contrarian view of everything from market edges to historical volatility, and from volume to put/call ratio, giving you all that you need to truly understand how the markets function. Fully revised and updated, How Markets Really Work, Second Edition takes a level-headed, data-driven look at the markets to show how they function and how you can apply that information intelligently when making investment decisions.
Author: Greg Schnell
Publisher: John Wiley & Sons
ISBN: 1119434394
Category : Business & Economics
Languages : en
Pages : 360
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Book Description
The easy way to get started in stock charts Many trading and technical analysis books focus on how to use charts to make stock trading decisions, but what about how to actually build a chart? Stock Charts For Dummies reveals the important stories charts tell, and how different parameters can impact what you see on the screen. This book will explain some of the most powerful display settings that help traders understand the information in a chart to find outperformance as its beginning. Stock Charts for Dummies will teach you how to build a visually appealing chart and add tools based on the type of trading or investing decision you're trying to make. It will also introduce you to the pros, cons, and best practices of using three key types of charts: Candlesticks, Bar Charts, and Line Charts. Build and use technical chart patterns Increase profits and minimize risk Track and identify specific trends within charts A unique guide for beginning traders and investors, Stock Charts for Dummies will help you make sense of stock charts.
Author: Armin Bunde
Publisher: Springer Science & Business Media
ISBN: 3642562574
Category : Science
Languages : en
Pages : 472
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Book Description
This book tackles these questions by applying advanced methods from statistical physics and related fields to all types of non-linear dynamics prone to disaster. It gives readers an insight into the problems of catastrophes and is one of the first books on the theories of disaster. Based on physical and mathematical theories, the general principles of disaster appearance are explained.
Author: Misako Takayasu
Publisher: Springer Science & Business Media
ISBN: 4431538534
Category : Science
Languages : en
Pages : 320
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Book Description
In recent years, as part of the increasing “informationization” of industry and the economy, enterprises have been accumulating vast amounts of detailed data such as high-frequency transaction data in nancial markets and point-of-sale information onindividualitems in theretail sector. Similarly,vast amountsof data arenow ava- able on business networks based on inter rm transactions and shareholdings. In the past, these types of information were studied only by economists and management scholars. More recently, however, researchers from other elds, such as physics, mathematics, and information sciences, have become interested in this kind of data and, based on novel empirical approaches to searching for regularities and “laws” akin to those in the natural sciences, have produced intriguing results. This book is the proceedings of the international conference THICCAPFA7 that was titled “New Approaches to the Analysis of Large-Scale Business and E- nomic Data,” held in Tokyo, March 1–5, 2009. The letters THIC denote the Tokyo Tech (Tokyo Institute of Technology)–Hitotsubashi Interdisciplinary Conference. The conference series, titled APFA (Applications of Physics in Financial Analysis), focuses on the analysis of large-scale economic data. It has traditionally brought physicists and economists together to exchange viewpoints and experience (APFA1 in Dublin 1999, APFA2 in Liege ` 2000, APFA3 in London 2001, APFA4 in Warsaw 2003, APFA5 in Torino 2006, and APFA6 in Lisbon 2007). The aim of the conf- ence is to establish fundamental analytical techniques and data collection methods, taking into account the results from a variety of academic disciplines.
Author: Lokesh Badolia
Publisher: Educreation Publishing
ISBN:
Category : Self-Help
Languages : en
Pages : 63
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Book Description
This book is well-researched by the author, in which he has shared the experience and knowledge of some very much experienced and renowned entities from stock market. We want that everybody should have the knowledge regarding the different aspects of stock market, which would encourage people to invest and earn without any fear. This book is just a step forward toward the knowledge of market.
Author: William J. O'Neil
Publisher: McGraw Hill Professional
ISBN: 007139480X
Category : Business & Economics
Languages : en
Pages : 282
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Book Description
William J. O'Neil's proven investment advice has earned him millions of loyal followers. And his signature bestseller, How to Make Money in Stocks, contains all the guidance readers need on the entire investment processfrom picking a broker to diversifying a portfolio to making a million in mutual funds. For self-directed investors of all ages and expertise, William J. O'Neil's proven CAN SLIM investment strategy is helping those who follow O'Neil to select winning stocks and create a more powerful portfolio. Based on a 40-year study of the most successful stocks of all time, CAN SLIM is an easy-to-use tool for picking the winners and reducing risk in today's volatile economic environment.
