This volume contains the proceedings of the Workshop on Monte Carlo
Methods held at The Fields Institute for Research in Mathematical
Sciences (Toronto, 1998). The workshop brought together researchers
in physics, statistics, and probability. The papers in this volume
- of the invited speakers and contributors to the poster session -
represent the interdisciplinary emphasis of the conference. Monte
Carlo methods have been used intensively in many branches of
scientific inquiry.Markov chain methods have been at the forefront
of much of this work, serving as the basis of many numerical
studies in statistical physics and related areas since the
Metropolis algorithm was introduced in 1953. Statisticians and
theoretical computer scientists have used these methods in recent
years, working on different fundamental research questions, yet
using similar Monte Carlo methodology. This volume focuses on Monte
Carlo methods that appear to have wide applicability and emphasizes
new methods, practical applications and theoretical analysis. It
will be of interest to researchers and graduate students who study
and/or use Monte Carlo methods in areas of probability, statistics,
theoretical physics, or computer science.
American Mathematical Society
|Country of origin:
||Fields Institute Communications
||254 x 178mm (L x W)
Science & Mathematics >
Probability & statistics
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