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#### Minimization of Computational Costs of Non-Analogue Monte Carlo Methods

World Scientific Publishing Company 1992; US$ 53.00Non-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...

#### Monte Carlo Methods, Volume 1

Wiley 2008; US$ 170.00This 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...

#### Monte Carlo and Quasi-Monte Carlo Methods 2012

Springer Berlin Heidelberg 2013; US$ 189.00This book represents the refereed proceedings of the Tenth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that was held at the University of New South Wales (Australia) in February 2012. These biennial conferences are major events for Monte Carlo and the premiere event for quasi-Monte Carlo research. The... more...

#### Monte Carlo and Quasi-Monte Carlo Sampling

Springer New York 2009; US$ 149.00Quasi?Monte Carlo methods have become an increasingly popular alternative to Monte Carlo methods over the last two decades. This book presents all of the essential tools for using quasi?Monte Carlo sampling on practical problems, especially in finance. more...

#### Sequential Monte Carlo Methods for Nonlinear Discrete-Time Filtering

Morgan & Claypool Publishers 2013; US$ 40.00In 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...

#### Simulation and the Monte Carlo Method

Wiley 2011; US$ 144.00This 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...

#### Statistical Simulation

CRC Press 2009; US$ 109.95Although 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...

#### Monte Carlo Methods for Applied Scientists

World Scientific Publishing Company 2007; US$ 109.00The 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...

#### Uniform Distribution and Quasi-Monte Carlo Methods

De Gruyter 2014; US$ 182.00The 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... more...

#### Geometrically Constructed Markov Chain Monte Carlo Study of Quantum Spin-phonon Complex Systems

Springer Japan 2013; US$ 129.00This book introduces a new Markov chain optimization method with braking the detailed balance. It develops a quantum Monte Carlo method for nonconserved particles and combines it with the excitation level analysis. more...