An improvement to the linear accept/reject algorithm

L. Lin; K. F. Liu; J. Sloan

doi:10.1016/S0920-5632(99)85220-7

An improvement to the linear accept/reject algorithm

L. Lin, K. F. Liu, J. Sloan

Research output: Contribution to journal › Article › peer-review

Abstract

We study the improvement of Kennedy-Kuti's linear accept/reject algorithm with different ordering criterion and modified Bhanot-Kennedy estimator of e^ΔH to reduce probability-bound violation. A new stochastic Monte Carlo algorithm to accommodate the probability-bound violation is proposed.

Original language	English
Pages (from-to)	843-846
Number of pages	4
Journal	Nuclear Physics B - Proceedings Supplements
Volume	73
Issue number	1-3
DOIs	https://doi.org/10.1016/S0920-5632(99)85220-7
State	Published - Mar 1999

Bibliographical note

Funding Information:
The authors would like to thank A. Kennedy for stimulating discussions and for helping clarify the Metropolis steps. This work is partially support by the U.S. DOE grant DE-FG05-84ER40154. Lee Lin wishes to thank NSC of the

Funding

The authors would like to thank A. Kennedy for stimulating discussions and for helping clarify the Metropolis steps. This work is partially support by the U.S. DOE grant DE-FG05-84ER40154. Lee Lin wishes to thank NSC of the

Funders	Funder number
Michigan State University-U.S. Department of Energy (MSU-DOE) Plant Research Laboratory	DE-FG05-84ER40154

ASJC Scopus subject areas

Atomic and Molecular Physics, and Optics
Nuclear and High Energy Physics

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10.1016/S0920-5632(99)85220-7

Cite this

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title = "An improvement to the linear accept/reject algorithm",

abstract = "We study the improvement of Kennedy-Kuti's linear accept/reject algorithm with different ordering criterion and modified Bhanot-Kennedy estimator of eΔH to reduce probability-bound violation. A new stochastic Monte Carlo algorithm to accommodate the probability-bound violation is proposed.",

author = "L. Lin and Liu, {K. F.} and J. Sloan",

note = "Funding Information: The authors would like to thank A. Kennedy for stimulating discussions and for helping clarify the Metropolis steps. This work is partially support by the U.S. DOE grant DE-FG05-84ER40154. Lee Lin wishes to thank NSC of the",

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An improvement to the linear accept/reject algorithm

Abstract

Bibliographical note

Funding

ASJC Scopus subject areas

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