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Review

2005

Review

2005

This chapter is aimed at describing the Monte Carlo method for the simulation of grain growth and recrystallization. It has also… Expand

Highly Cited

2004

Highly Cited

2004

We have sold 4300 copies worldwide of the first edition (1999). This new edition contains five completely new chapters covering… Expand

Highly Cited

2003

Highly Cited

2003

Foundations.- Generating Random Numbers and Random Variables.- Generating Sample Paths.- Variance Reduction Techniques.- Quasi… Expand

Highly Cited

2003

Highly Cited

2003

Marchenko, A. A., and Pastur, L. A. (1967), “Distribution of Eigenvalues for Some Sets of Random Matrices,” Mathematics of the… Expand

Highly Cited

2001

Highly Cited

2001

Monte Carlo methods are revolutionizing the on-line analysis of data in fields as diverse as financial modeling, target tracking… Expand

Highly Cited

1999

Highly Cited

1999

This book provides an introduction to Monte Carlo simulations in classical statistical physics and is aimed both at students… Expand

Highly Cited

1997

Highly Cited

1997

INTRODUCING MARKOV CHAIN MONTE CARLO Introduction The Problem Markov Chain Monte Carlo Implementation Discussion HEPATITIS B: A… Expand

Highly Cited

1993

Highly Cited

1993

This manual is a practical guide for the use of our general-purpose Monte Carlo code MCNP. The first chapter is a primer for the… Expand

Highly Cited

1992

Highly Cited

1992

Preface 1. Monte Carlo methods and Quasi-Monte Carlo methods 2. Quasi-Monte Carlo methods for numerical integration 3. Low… Expand

Highly Cited

1970

Highly Cited

1970

SUMMARY A generalization of the sampling method introduced by Metropolis et al. (1953) is presented along with an exposition of… Expand