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A large number of scientists and engineers use Monte Carlo simulation as an essential tool in their work. This paperback edition (a reprint of the 2001 Springer edition) provides an uptodate and selfcontained summary of recent research results. Given the interdisciplinary nature of the topics and a moderate prerequisite for the reader, this book should be of interest to a broad audience of quantitative researchers such as computational biologists, computer scientists, econometricians, engineers, probabilists, and statisticians. It can also be used as a textbook for a graduatelevel course on Monte Carlo methods. Many problems discussed in the later chapters can be potential thesis topics for masters or Ph.D. students in statistics or computer science departments.
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