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Most popular at the top
- Wiley 2008; US$ 170.00
This introduction to Monte Carlo Methods seeks to identify and study the unifying elements that underlie their effective application. It focuses on two basic themes. The first is the importance of random walks as they occur both in natural stochastic systems and in their relationship to integral and differential equations. The second theme is that... more...
- Taylor and Francis 2009; US$ 104.95
Although power method polynomials based on the standard normal distributions have been used in many different contexts for the past 30 years, it was not until recently that the probability density function (pdf) and cumulative distribution function (cdf) were derived and made available. Focusing on both univariate and multivariate nonnormal data generation,... more...
- Morgan & Claypool Publishers 2013; US$ 40.00
In these notes, we introduce particle filtering as a recursive importance sampling method that approximates the minimum-mean-square-error (MMSE) estimate of a sequence of hidden state vectors in scenarios where the joint probability distribution of the states and the observations is non-Gaussian and, therefore, closed-form analytical expressions for... more...
- World Scientific Publishing Company 1992; US$ 92.00
Non-analogue Monte Carlo methods are useful when the direct simulation techniques are insufficient. To use the additional discretization, Monte Carlo estimates are biased and it is desirable to optimize the connection between discretization parameters and the sample size. In this connection, the book investigates variances of non-analogue Monte Carlo... more...
- Oxford University Press 2013; US$ 97.99
The description of emerging collective phenomena and self-organization in systems composed of large numbers of individuals has gained increasing interest from various research communities in biology, ecology, robotics and control theory, as well as sociology and economics.Applied mathematics is concerned with the construction, analysis and interpretation... more...
- Elsevier Science 2011; US$ 124.00
Exploring Monte Carlo Methods is a basic text that describes the numerical methods that have come to be known as "Monte Carlo." The book treats the subject generically through the first eight chapters and, thus, should be of use to anyone who wants to learn to use Monte Carlo. The next two chapters focus on applications in nuclear engineering, which... more...
- Wiley 2011; US$ 139.00
This accessible new edition explores the major topics in Monte Carlo simulation Simulation and the Monte Carlo Method , Second Edition reflects the latest developments in the field and presents a fully updated and comprehensive account of the major topics that have emerged in Monte Carlo simulation since the publication of the classic First Edition... more...
- Springer 2008; US$ 29.95
Ce livre est une introduction aux techniques de simulation. Après un bref rappel des techniques fondamentales du calcul des probabilités, il expose divers procédés pour générer en grande quantités des nombres aléatoires. Les transformations de variables utilisées pour simuler des échantillons fictifs d?une variable aléatoire et les tests d?hypothèses... more...
- De Gruyter 2014; US$ 182.00
The survey articles in this book focus on number theoretic point constructions, uniform distribution theory, and quasi-Monte Carlo methods. As deterministic versions of the Monte Carlo method, quasi-Monte Carlo rules enjoy increasing popularity, with many fruitful applications in mathematical practice, as for example in finance, computer graphics,... more...
- World Scientific Publishing Company 2007; US$ 189.00
The Monte Carlo method is inherently parallel and the extensive and rapid development in parallel computers, computational clusters and grids has resulted in renewed and increasing interest in this method. At the same time there has been an expansion in the application areas and the method is now widely used in many important areas of science including... more...