Abstract
Path Integral Monte Carlo (PIMC) is one way of exploiting the connection between the diffusion equation and the Schrödinger equation for numerical computation based on sampling for quantum statistical mechanics. Starting from the introduction of the Wiener integral, that is the mathematical foundation supporting the numerical work, a number of methodological aspects of the implementation of PIMC are discussed, including suitable approximations to treat hard core particles, schemes for the calculation of free energy differences and of time dependent properties, and the problem of correlation and variance in the mean of estimators in Monte Carlo chains.
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© 1984 D. Reidel Publishing Company, Dordrecht, Holland
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Jacucci, G. (1984). Path Integral Monte Carlo. In: Kalos, M.H. (eds) Monte Carlo Methods in Quantum Problems. NATO ASI Series, vol 125. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-6384-9_10
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DOI: https://doi.org/10.1007/978-94-009-6384-9_10
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