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Dieses essential gibt eine kompakte Einführung in die Ergodentheorie, die Dynamische Systeme mit Methoden der Maßtheorie untersucht. Lesende lernen wundervolle Resultate von herausragenden Mathematikern des 20. Jahrhunderts kennen. Eine Fülle von Beispielen Dynamischer Systeme mit invarianten und ergodischen Maßen werden beschrieben. Zusätzlich finden sich großartige Anwendungen der Ergodentheorie in der Zahlentheorie. Der Autor Jörg Neunhäuserer hat an der FU Berlin in Mathematik promoviert, zahlreiche Artikel in Fachzeitschriften und drei Bücher bei Springer Spektrum veröffentlicht. Daneben hat er Mathematik-Vorlesungen in verschiedenen Bachelor- und Masterstudiengängen an Universitäten in Berlin, Clausthal, Dresden, Hannover und Lüneburg gehalten. .

Difference equations. --- Functional equations.

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Financial engineering. --- Differential equations, Partial.

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A comprehensive introduction to the core issues of stochastic differential equations and their effective application Introduction to Stochastic Differential Equations with Applications to Modelling in Biology and Finance offers a comprehensive examination to the most important issues of stochastic differential equations and their applications. The author — a noted expert in the field — includes myriad illustrative examples in modelling dynamical phenomena subject to randomness, mainly in biology, bioeconomics and finance, that clearly demonstrate the usefulness of stochastic differential equations in these and many other areas of science and technology. The text also features real-life situations with experimental data, thus covering topics such as Monte Carlo simulation and statistical issues of estimation, model choice and prediction. The book includes the basic theory of option pricing and its effective application using real-life. The important issue of which stochastic calculus, Itô or Stratonovich, should be used in applications is dealt with and the associated controversy resolved. Written to be accessible for both mathematically advanced readers and those with a basic understanding, the text offers a wealth of exercises and examples of application. This important volume: Contains a complete introduction to the basic issues of stochastic differential equations and their effective application Includes many examples in modelling, mainly from the biology and finance fields Shows how to: Translate the physical dynamical phenomenon to mathematical models and back, apply with real data, use the models to study different scenarios and understand the effect of human interventions Conveys the intuition behind the theoretical concepts Presents exercises that are designed to enhance understanding Offers a supporting website that features solutions to exercises and R code for algorithm implementation Written for use by graduate students, from the areas of application or from mathematics and statistics, as well as academics and professionals wishing to study or to apply these models, Introduction to Stochastic Differential Equations with Applications to Modelling in Biology and Finance is the authoritative guide to understanding the issues of stochastic differential equations and their application.

Stochastic differential equations. --- Biology --- Finance --- Mathematical models.

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Neural networks (Computer science) --- Nonlinear difference equations.

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This book provides a first, basic introduction into the valuation of financial options via the numerical solution of partial differential equations (PDEs). It provides readers with an easily accessible text explaining main concepts, models, methods and results that arise in this approach. In keeping with the series style, emphasis is placed on intuition as opposed to full rigor, and a relatively basic understanding of mathematics is sufficient. The book provides a wealth of examples, and ample numerical experiments are givento illustrate the theory. The main focus is on one-dimensional financial PDEs, notably the Black-Scholes equation. The book concludes with a detailed discussion of the important step towards two-dimensional PDEs in finance.

Finance. --- Financial engineering. --- Financial Engineering. --- Business mathematics. --- Differential equations, Partial. --- Partial differential equations --- Arithmetic, Commercial --- Business --- Business arithmetic --- Business math --- Commercial arithmetic --- Finance --- Mathematics --- Computational finance --- Engineering, Financial