Want to learn how to program and think like a computer scientist? This practical guide gets you started on your programming journey with the help of Perl 6, the younger sister of the popular Perl programming language. Ideal for beginners, this hands-on book includes over 100 exercises with multiple solutions, and more than 1,000 code examples so you can quickly practice what you learn. Experienced programmers—especially those who know Perl 5—will also benefit. Divided into two parts, Think Perl 6 starts with basic concepts that every programmer needs to know, and then focuses on different programming paradigms and some more advanced programming techniques. With two semesters’ worth of lessons, this book is the perfect teaching tool for computer science beginners in colleges and universities. Learn basic concepts including variables, expressions, statements, functions, conditionals, recursion, and loops Understand commonly used basic data structures and the most useful algorithms Dive into object-oriented programming, and learn how to construct your own types and methods to extend the language Use grammars and regular expressions to analyze textual content Explore how functional programming can help you make your code simpler and more expressive
This book constitutes the refereed proceedings of the Third International Colloquium on Grammatical Inference, ICGI-96, held in Montpellier, France, in September 1996. The 25 revised full papers contained in the book together with two invited key papers by Magerman and Knuutila were carefully selected for presentation at the conference. The papers are organized in sections on algebraic methods and algorithms, natural language and pattern recognition, inference and stochastic models, incremental methods and inductive logic programming, and operational issues.
This textbook provides a concise overview of malignant haematology, including reviews of cell and molecular biology, and implications for new trends in treatment.
A complete guide to the theory and practice of volatility models in financial engineering Volatility has become a hot topic in this era of instant communications, spawning a great deal of research in empirical finance and time series econometrics. Providing an overview of the most recent advances, Handbook of Volatility Models and Their Applications explores key concepts and topics essential for modeling the volatility of financial time series, both univariate and multivariate, parametric and non-parametric, high-frequency and low-frequency. Featuring contributions from international experts in the field, the book features numerous examples and applications from real-world projects and cutting-edge research, showing step by step how to use various methods accurately and efficiently when assessing volatility rates. Following a comprehensive introduction to the topic, readers are provided with three distinct sections that unify the statistical and practical aspects of volatility: Autoregressive Conditional Heteroskedasticity and Stochastic Volatility presents ARCH and stochastic volatility models, with a focus on recent research topics including mean, volatility, and skewness spillovers in equity markets Other Models and Methods presents alternative approaches, such as multiplicative error models, nonparametric and semi-parametric models, and copula-based models of (co)volatilities Realized Volatility explores issues of the measurement of volatility by realized variances and covariances, guiding readers on how to successfully model and forecast these measures Handbook of Volatility Models and Their Applications is an essential reference for academics and practitioners in finance, business, and econometrics who work with volatility models in their everyday work. The book also serves as a supplement for courses on risk management and volatility at the upper-undergraduate and graduate levels.
This book analyzes in depth all major derivatives debacles of the last half century including the multi-billion losses and/or bankruptcy of Metallgesellschaft (1994), Barings Bank (1995), Long Term Capital Management (1998), Amaranth (2006), Société Générale (2008) , AIG (2008) and JP Morgan-Chase (2012). It unlocks the secrets of derivatives by telling the stories of institutions which played in the derivative market and lost big. For some of these unfortunate organizations it was daring but flawed financial engineering which brought them havoc. For others it was unbridled speculation perpetrated by rogue traders whose unchecked fraud brought their house down.Should derivatives be feared 'as financial weapons of mass destruction' or hailed as financial innovations which through efficient risk transfer are truly adding to the Wealth of Nations? By presenting a factual analysis of how the malpractice of derivatives played havoc with derivative end-user and dealer institutions, a case is made for vigilance not only to market and counter-party risk but also operational risk in their use for risk management and proprietary trading. Clear and recurring lessons across the different stories in this volume call not only for a tighter but also 'smarter' control system of derivatives trading and should be of immediate interest to financial managers, bankers, traders, auditors and regulators who are directly or indirectly exposed to financial derivatives.The book groups cases by derivative category, starting with the simplest and building up to the most complex — namely, Forwards, Futures, Options and Swaps in that order, with applications in commodities, foreign exchange, stock indices and interest rates. Each chapter deals with one derivative debacle, providing a rigorous and comprehensive but non-technical elucidation of what happened.What is new in the second edition? A new chapter on JP Morgan-Chase's London Whale, an in-depth discussion of credit-default swaps, and an update of the revamped regulatory framework with Basel 2.5 and Basel III against the backdrop of the Euro crisis, along with a revised and expanded discussion of the AIG debacle.
Since I first published Management of Foreign Exchange Risk (Lexington Books, 1978), financial innovation-spurred, in part, by exploding volatility in currency prices-has revolutionized the theory and praxis of foreign exchange risk management. Old-fashioned forward contracts have surrendered market share to currency swaps and options as well as to their perpetually multiplying derivatives. Interestingly, forex derivatives now provide a low cost and highly efficient method of transferring risk from the firms that are exposed to risk but which would rather not be (i. e. , risk-hedgers) to those which are not exposed but which-in exchange for a fee-would assume some exposure to risk (i. e. , risk bearers). Perhaps more importantly, foreign exchange risk management, which was once a fairly mechanical task confmed to the international treasury function, is now permeating global strategic management. Indeed, since the demise of the Bretton Woods system of pegged exchange rates, the cost of forex hedging instruments has fallen so dramatically that firms can readily avail themselves of hedging products which can reduce unwanted risk, thereby potentially gaining a competitive advantage over rivals that do not. Management and Control of Foreign Exchange Risk has grown out of a fundamental revision of my earlier work published almost 20 years ago. In the process, my thinking about risk and its mathematics has greatly benefitted from my association with John Cozzolino and Charles Tapiero.
Cuts and metrics are well-known objects that arise - independently, but with many deep and fascinating connections - in diverse fields: in graph theory, combinatorial optimization, geometry of numbers, combinatorial matrix theory, statistical physics, VLSI design etc. This book presents a wealth of results, from different mathematical disciplines, in a unified comprehensive manner, and establishes new and old links, which cannot be found elsewhere. It provides a unique and invaluable source for researchers and graduate students. From the Reviews: "This book is definitely a milestone in the literature of integer programming and combinatorial optimization. It draws from the Interdisciplinarity of these fields [...]. With knowledge about the relevant terms, one can enjoy special subsections without being entirely familiar with the rest of the chapter. This makes it not only an interesting research book but even a dictionary. [...] The longer one works with it, the more beautiful it becomes." Optima 56, 1997.
This collection of 13 essays offers insights into Gilles Deleuze's philosophy of law which experiments with new forms of politics, economics and society.
Diapycnal mixing in the ocean interior is driven by a wide range of processes, each with distinct governing physics and unique global geography. Here we review the primary processes responsible for turbulent mixing in the ocean interior, with an emphasis on active work from the past decade. We conclude with a discussion of global patterns of mixing and their importance for regional and large-scale modeling accuracy.
Reviews the emerging field of geodesic methods and features the following: explanations of the mathematical foundations underlying these methods; discussion on the state of the art algorithms to compute shortest paths; review of several fields of application, including medical imaging segmentation, 3-D surface sampling and shape retrieval
Calvet and Fisher present a powerful, new technique for volatility forecasting that draws on insights from the use of multifractals in the natural sciences and mathematics and provides a unified treatment of the use of multifractal techniques in finance. A large existing literature (e.g., Engle, 1982; Rossi, 1995) models volatility as an average of past shocks, possibly with a noise component. This approach often has difficulty capturing sharp discontinuities and large changes in financial volatility. Their research has shown the advantages of modelling volatility as subject to abrupt regime changes of heterogeneous durations. Using the intuition that some economic phenomena are long-lasting while others are more transient, they permit regimes to have varying degrees of persistence. By drawing on insights from the use of multifractals in the natural sciences and mathematics, they show how to construct high-dimensional regime-switching models that are easy to estimate, and substantially outperform some of the best traditional forecasting models such as GARCH. The goal of Multifractal Volatility is to popularize the approach by presenting these exciting new developments to a wider audience. They emphasize both theoretical and empirical applications, beginning with a style that is easily accessible and intuitive in early chapters, and extending to the most rigorous continuous-time and equilibrium pricing formulations in final chapters. - Presents a powerful new technique for forecasting volatility - Leads the reader intuitively from existing volatility techniques to the frontier of research in this field by top scholars at major universities - The first comprehensive book on multifractal techniques in finance, a cutting-edge field of research
Want to learn how to program and think like a computer scientist? This practical guide gets you started on your programming journey with the help of Perl 6, the younger sister of the popular Perl programming language. Ideal for beginners, this hands-on book includes over 100 exercises with multiple solutions, and more than 1,000 code examples so you can quickly practice what you learn. Experienced programmers—especially those who know Perl 5—will also benefit. Divided into two parts, Think Perl 6 starts with basic concepts that every programmer needs to know, and then focuses on different programming paradigms and some more advanced programming techniques. With two semesters’ worth of lessons, this book is the perfect teaching tool for computer science beginners in colleges and universities. Learn basic concepts including variables, expressions, statements, functions, conditionals, recursion, and loops Understand commonly used basic data structures and the most useful algorithms Dive into object-oriented programming, and learn how to construct your own types and methods to extend the language Use grammars and regular expressions to analyze textual content Explore how functional programming can help you make your code simpler and more expressive
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