✦ LIBER ✦

Statistical error of diffusion Monte Carlo

✍ Scribed by Stuart M Rothstein; Jan Vrbik

Book ID: 107788899
Publisher: Elsevier Science
Year: 1988
Tongue: English
Weight: 779 KB
Volume: 74
Category: Article
ISSN: 0021-9991
DOI: 10.1016/0021-9991(88)90073-3

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Statistical errors in Monte Carlo estima

Statistical errors in Monte Carlo estimates of systematic errors

✍ Byron P. Roe 📂 Article 📅 2007 🏛 Elsevier Science 🌐 English ⚖ 164 KB

For estimating the effects of a number of systematic errors on a data sample, one can generate Monte Carlo (MC) runs with systematic parameters varied and examine the change in the desired observed result. Two methods are often used. In the unisim method, 1 the systematic parameters are varied one a

Statistical and systematic errors in Mon

Statistical and systematic errors in Monte Carlo sampling

✍ Alan M. Ferrenberg; D. P. Landau; K. Binder 📂 Article 📅 1991 🏛 Springer 🌐 English ⚖ 745 KB

Statistical Error Analysis for the Direc

Statistical Error Analysis for the Direct Simulation Monte Carlo Technique

✍ Gang Chen; Iain D. Boyd 📂 Article 📅 1996 🏛 Elsevier Science 🌐 English ⚖ 420 KB

The statistical error associated with the direct simulation Monte Carlo technique is studied when it is applied to nonequilibrium cle method and a continuum approach. It is well known hypersonic and nozzle flows. A root mean square (rms) error is that the Monte Carlo method is physically accurate bu

Monte Carlo errors with less errors

✍ Ulli Wolff 📂 Article 📅 2004 🏛 Elsevier Science 🌐 English ⚖ 352 KB

Estimation of the statistical error of t

Estimation of the statistical error of the direct simulation Monte Carlo method

✍ M. Yu. Plotnikov; E. V. Shkarupa 📂 Article 📅 2010 🏛 SP MAIK Nauka/Interperiodica 🌐 English ⚖ 260 KB

Time step error in diffusion Monte Carlo

Time step error in diffusion Monte Carlo simulations: An empirical study

✍ Stuart M. Rothstein; Narayan Patil; Jan Vrbik 📂 Article 📅 1987 🏛 John Wiley and Sons 🌐 English ⚖ 584 KB

Diffusion Monte Carlo (DMC) is a random walk computational method for solving the ground-state Schrodinger equation for atoms or molecules. One obtains a biased simulated energy which is used to estimate the exact energy, where the bias increases with the time step used in the simulation. We present