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Fast Sequential Monte Carlo Methods for Counting and Optimization

for estimation of rare-event probabilities, counting problems, and combinatorial optimization, Fast Sequential Monte Carlo Methods for;

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Simulation and the Monte Carlo Method

, and optimization. A second new chapter introduces the stochastic enumeration method, which is a new fast sequential Monte Carlo method for;

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Mean Field Simulation for Monte Carlo Integration

, diffusion, and resampled Monte Carlo methods; Feynman-Kac particle models; genetic and evolutionary algorithms; sequential Monte Carlo methods;

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Mean Field Simulation for Monte Carlo Integration

, diffusion, and resampled Monte Carlo methods; Feynman-Kac particle models; genetic and evolutionary algorithms; sequential Monte Carlo methods;

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Handbook of Monte Carlo Methods

optimization concepts and techniques that are relevant to Monte Carlo simulation. Handbook of Monte Carlo Methods is an excellent reference for applied;

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Monte Carlo and Quasi-Monte Carlo Sampling

sequential Monte Carlo, with a discussion of their quasi-Monte Carlo counterpart. The prerequisites for reading this book are a basic knowledge;

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Quantum Monte Carlo Methods in Physics and Chemistry

matrix is also addressed. For physical chemists and molecular physicists or any researcher interested in computer optimization or statistical;

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Handbook in Monte Carlo Simulation

and risk management to optimization. The Handbook in Monte Carlo Simulation features: * An introductory section for basic material on;

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Monte-carlo Methods and Stochastic Processes

basic tools for stochastic simulation and analysis of algorithm convergence. The second part describes Monte-Carlo methods for the simulation;

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Monte-Carlo Methods and Stochastic Processes

basic tools for stochastic simulation and analysis of algorithm convergence. The second part describes Monte-Carlo methods for the simulation;

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An Introduction to Sequential Monte Carlo

or rare-event problems), are also discussed. The book may be used either as a graduate text on Sequential Monte Carlo methods and state;

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Student Solutions Manual To Accompany Simulation And The Monte Carlo Method

-entropy method to rare events estimation and combinatorial optimization Application of Monte Carlo techniques for counting problems, with an;

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Advances In Chemical Physics

Number Generators for Parallel Applications Ashok Srinivasan, David M. Ceperley and Michael Mascagni Between Classical and Quantum Monte Carlo;

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Numerical Methods and Applications

from 61 submissions for inclusion in this book. The papers are organized in the following topical sections: numerical search and optimization;

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Quasi-Monte Carlo Methods in Finance

of the state variables and their Malliavin derivatives. In contrast to other approaches, where Monte Carlo methods are used to compute the;

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Monte Carlo and Quasi-Monte Carlo Methods

This book presents the refereed proceedings of the Twelfth International Conference on Monte Carlo and Quasi-Monte Carlo Methods;

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Numerical Methods and Applications

submissions for inclusion in this book. The papers are organized in the following topical sections: Monte Carlo and quasi-Monte Carlo methods;

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Exploring Monte Carlo Methods

, which provide useful information on probability distributions, general-purpose Monte Carlo codes for radiation transport, and other matters. The;

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Monte-Carlo and Quasi-Monte Carlo Methods 1998

This book represents the refereed proceedings of the Third International Conference on Monte Carlo and Quasi-Monte Carlo Methods;

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Quantum Monte Carlo Methods

methods for computing ground and excited states, and the variational Monte Carlo method. Also discussed are continuous-time algorithms for quantum;

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Monte Carlo Methods and Models in Finance and Insurance

Monte Carlo methods to areas of finance and insurance. This allows for the easy identification of standard Monte Carlo tools and for a detailed;

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Advanced Markov Chain Monte Carlo Methods

diverse fields such as bioinformatics, machine learning, social science, combinatorial optimization, and computational physics. Key Features;

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Monte Carlo Methods for Electromagnetics

walk Monte Carlo methods. The text then applies the Exodus method to Laplace's and Poisson's equations and presents Monte Carlo techniques for;

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Monte Carlo Methods for Electromagnetics

walk Monte Carlo methods. The text then applies the Exodus method to Laplace's and Poisson's equations and presents Monte Carlo techniques for;

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A Workout in Computational Finance

of financial models to market data, Monte Carlo and Quasi Monte Carlo techniques for simulating high dimensional systems, and local and global;

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Monte Carlo Methods

discusses the Monte Carlo methods needed for the estimation of the mean glandular dose in both digital mammography and digital breast tomosynthesis;

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Monte Carlo Techniques in Radiation Therapy

next decade. Monte Carlo Techniques in Radiation Therapy explores the use of Monte Carlo methods for modeling various features of internal and;

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