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Numerical Methods in Finance has emerged as a discipline at the intersection of probability theory, finance and numerical analysis. This;
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Driven by concrete computational problems in quantitative finance, this book provides aspiring quant developers with the numerical;
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. * Generating interoperability with Excel add-ins, C#, and C++/CLI. * Using random number generation in C++11 and Monte Carlo simulation. Full source;
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engineers not familiar with finance New coverage of advanced optimization methods and applications later in the text Numerical Methods in Finance;
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an overview of the major new advances in the numerical treatment of instruments with American exercises. Naturally it covers the most recent;
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Numerical Methods in Finance has emerged as a discipline at the intersection of probability theory, finance and numerical analysis. This;
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This book deals with the numerical analysis and efficient numerical treatment of high-dimensional integrals using sparse grids and other;
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best numerical algorithms and discusses them in depth, from their mathematical analysis up to their implementation in C++ with efficient;
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In financial and actuarial modeling and other areas of application, stochastic differential equations with jumps have been employed to;
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This book constitutes thoroughly revised selected papers of the 6th International Conference on Numerical Analysis and Its Applications;
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Driven by concrete computational problems in quantitative finance, this book provides aspiring quant developers with the numerical;
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Driven by concrete computational problems in quantitative finance, this book provides aspiring quant developers with the numerical;
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. Numerical Methods and Optimization in Finance presents such computational techniques, with an emphasis on simulation and optimization, particularly;
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and practical techniques simultaneously. Mathematical Modelling and Numerical Methods in Finance addresses the three most important aspects;
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the numerical traps that practitioners frequently fall into. Each method is referenced with practical, real-world examples in the areas;
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apply the abstract theory to the real financial data they encounter. Introducing finance theory alongside numerical applications makes it easier;
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apply the abstract theory to the real financial data they encounter. Introducing finance theory alongside numerical applications makes it easier;
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This book puts numerical methods in action for the purpose of solving practical problems in quantitative finance. The first part develops a;
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A visual, interdisciplinary approach to solving problems in numerical methods Computing for Numerical Methods Using Visual C++ fills the;
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Featuring international contributors from both industry and academia, Numerical Methods for Finance explores new and relevant numerical;
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In addition to being an introduction to C++, this text also provides clear explanations of the basics of numerical methods, and is unique;
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-independent numerical programming using Python and CC++, and appeals to advanced undergraduate and graduate students in natural sciences and;
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Makes Numerical Programming More Accessible to a Wider Audience Bearing in mind the evolution of modern programming, most specifically;
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, novices and expert users. Part A Mathematical Foundation for One-Factor Problems Chapters 1 to 7 introduce the mathematical and numerical;
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This book provides a first, basic introduction into the valuation of financial options via the numerical solution of partial differential;
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Designed for the many applied mathematicians and engineers who wish to explore computerized numerical methods, this text communicates an;
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Muhle-Karbe); and numerical methods for solving stochastic equations (by Dan Crisan, K. Manolarakis and C. Nee).The Paris-Princeton Lecture;
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