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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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Mean Field Simulation for Monte Carlo Integration

. Mean Field Simulation for Monte Carlo Integration presents the first comprehensive and modern mathematical treatment of mean field particle;

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Mean Field Simulation for Monte Carlo Integration

. Mean Field Simulation for Monte Carlo Integration presents the first comprehensive and modern mathematical treatment of mean field particle;

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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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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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Advances In Chemical Physics

In Monte Carlo Methods in Chemical Physics: An Introduction to the Monte Carlo Method for Particle Simulations J. Ilja Siepmann Random;

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Monte Carlo Calculations in Nuclear Medicine

Carlo methods and software packages can be applied to evaluate scatter in SPECT and PET imaging, collimation, and image deterioration. A guide;

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Monte Carlo Methods for Particle Transport

Fully updated with the latest developments in the eigenvalue Monte Carlo calculations and automatic variance reduction techniques and;

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Monte Carlo Methods for Particle Transport

Fully updated with the latest developments in the eigenvalue Monte Carlo calculations and automatic variance reduction techniques and;

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Monte Carlo Methods For Applied Scientists

main focus being on parallel algorithms development often to applied industrial problems.A selection of algorithms developed both for serial;

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Monte Carlo Methods

This book is intended for undergraduate students of Mathematics, Statistics, and Physics who know nothing about Monte Carlo Methods but;

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Monte Carlo and Quasi-Monte Carlo Methods

in Scientific Computing that was held at Stanford University (California) in August 2016. These biennial conferences are major events for Monte Carlo;

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A First Course in Bayesian Statistical Methods

Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods.;

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A First Course in Bayesian Statistical Methods

Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods.;

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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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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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Solid Angle Computation with Monte Carlo Methods

of solid angles and gives the salient features of solid angles along with the necessary mathematical development for computation. Why Monte Carlo;

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Monte Carlo Methods for Electromagnetics

Until now, novices had to painstakingly dig through the literature to discover how to use Monte Carlo techniques for solving;

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Monte Carlo Methods for Electromagnetics

Until now, novices had to painstakingly dig through the literature to discover how to use Monte Carlo techniques for solving;

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Monte Carlo Methods

In this compilation, the authors first consider applying the Monte Carlo method to the general form of the heat equation that is used for;

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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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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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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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