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Contributions to the Theory of Monte Carlo and Quasi-Monte Carlo Methods

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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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Monte Carlo and Quasi-Monte Carlo Sampling

Quasi-Monte Carlo methods have become an increasingly popular alternative to Monte Carlo methods over the last two decades. Their;

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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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Quasi-Monte Carlo Methods in Finance

is organized as follows. In the first chapter we provide some general introduction to Quasi-Monte Carlo methods and show at hand of a simple example;

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Handbook of Monte Carlo Methods

and their continuing development makes it important for researchers to have a comprehensive understanding of the Monte Carlo approach;

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Fast Sequential Monte Carlo Methods for Counting and Optimization

A comprehensive account of the theory and application of Monte Carlo methods Based on years of research in efficient Monte Carlo methods;

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Advances In Chemical Physics

Approaches to the Protein Folding Problem Jeffrey Skolnick and Andrzej Kolinski Entropy Sampling Monte Carlo for Polypeptides and Proteins Harold A;

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Exploring Monte Carlo Methods

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;

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Quantum Monte Carlo Methods

provide a pedagogical overview of the field and its applications. The book provides a comprehensive introduction to the Monte Carlo method, its;

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Monte Carlo Methods and Models in Finance and Insurance

application background of finance and insurance with the theory and applications of Monte Carlo methods. It presents recent methods and algorithms;

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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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Quantum Monte Carlo Methods in Physics and Chemistry

discussed interlacing together theory and applications. A new Quantum Monte Carlo scheme adept of a direct stochastic sampling of the density;

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Digital Nets and Sequences

nets and sequences, and discrepancy theory starts from scratch with detailed explanations of the basic concepts and then advances to current;

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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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Monte Carlo Calculations in Nuclear Medicine

. Like the first edition, this book explains the Monte Carlo method and the principles behind SPECT and PET imaging, introduces the reader to;

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Monte Carlo Techniques in Radiation Therapy

Modern cancer treatment relies on Monte Carlo simulations to help radiotherapists and clinical physicists better understand and compute;

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Monte Carlo Techniques in Radiation Therapy

Modern cancer treatment relies on Monte Carlo simulations to help radiotherapists and clinical physicists better understand and compute;

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Monte Carlo Methods

probabilistic interpretation of the energy equation to obtain the temperature profile. Following this, Monte Carlo Methods: History and Applications;

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Monte Carlo Methods

three referenced books, this is the only book that teaches how basic Monte Carlo methods work. This book is much more explicit and easier to;

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Quantum Monte Carlo Approaches for Correlated Systems

Over the past several decades, computational approaches to studying strongly-interacting systems have become increasingly varied and;

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Monte-carlo Methods and Stochastic Processes

Developed from the author's course at the Ecole Polytechnique, Monte-Carlo Methods and Stochastic Processes: From Linear to Non-Linear;

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Monte-Carlo Methods and Stochastic Processes

Developed from the author's course at the Ecole Polytechnique, Monte-Carlo Methods and Stochastic Processes: From Linear to Non-Linear;

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An Introduction to Quantum Monte Carlo Methods

tutorial to learn the discussion and path-integral Monte Carlo or a recipe for developing new research in the reader's own area. Two complete Java;

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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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