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

Physics And Astronomy

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

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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AB - 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.

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JO - Nuclear Physics B - Proceedings Supplements

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An improvement to the linear accept/reject algorithm

Abstract

Bibliographical note

ASJC Scopus subject areas

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