Abstract
Monte Carlo methods are useful for getting statistical estimates on the values of the connective constant, critical exponents, and other quantities related to self-avoiding walks. Essentially, a Monte Carlo simulation is a computer experiment which observes random versions of a particular system. After we obtain enough data, we can use statistical techniques to get estimates and confidence intervals for the desired quantities.
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© 1996 Birkhäuser Boston
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Madras, N., Slade, G. (1996). Analysis of Monte Carlo methods. In: The Self-Avoiding Walk. Probability and Its Applications. Birkhäuser Boston. https://doi.org/10.1007/978-1-4612-4132-4_9
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DOI: https://doi.org/10.1007/978-1-4612-4132-4_9
Publisher Name: Birkhäuser Boston
Print ISBN: 978-0-8176-3891-7
Online ISBN: 978-1-4612-4132-4
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