Abstract
A simple algorithm for generating random U(1) variables with Boltzmann distribution is presented. The rejection method and a transformation of variables are combined to obtain high acceptance rate and high speed for all range of temperatures of coupling parameters. Results of computer runs are presented to illustrate the efficiency. A method to find such algorithms is also presented, which may be applicable to other distributions of interest in Monte Carlo simulations.
| Original language | English |
|---|---|
| Pages (from-to) | 635-637 |
| Number of pages | 3 |
| Journal | Nuclear Physics B (Proceedings Supplements) |
| Volume | 26 |
| Issue number | C |
| DOIs | |
| Publication status | Published - 1992 |
| Externally published | Yes |
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ASJC Scopus subject areas
- Nuclear and High Energy Physics
Cite this
Improvement of efficiency in generating random U(1) variables with Boltzmann distribution in Monte Carlo calculations. / Hattori, Tetsuya; Nakajima, Hideo.
In: Nuclear Physics B (Proceedings Supplements), Vol. 26, No. C, 1992, p. 635-637.Research output: Contribution to journal › Article
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TY - JOUR
T1 - Improvement of efficiency in generating random U(1) variables with Boltzmann distribution in Monte Carlo calculations
AU - Hattori, Tetsuya
AU - Nakajima, Hideo
PY - 1992
Y1 - 1992
N2 - A simple algorithm for generating random U(1) variables with Boltzmann distribution is presented. The rejection method and a transformation of variables are combined to obtain high acceptance rate and high speed for all range of temperatures of coupling parameters. Results of computer runs are presented to illustrate the efficiency. A method to find such algorithms is also presented, which may be applicable to other distributions of interest in Monte Carlo simulations.
AB - A simple algorithm for generating random U(1) variables with Boltzmann distribution is presented. The rejection method and a transformation of variables are combined to obtain high acceptance rate and high speed for all range of temperatures of coupling parameters. Results of computer runs are presented to illustrate the efficiency. A method to find such algorithms is also presented, which may be applicable to other distributions of interest in Monte Carlo simulations.
UR - http://www.scopus.com/inward/record.url?scp=10044260739&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=10044260739&partnerID=8YFLogxK
U2 - 10.1016/0920-5632(92)90356-W
DO - 10.1016/0920-5632(92)90356-W
M3 - Article
AN - SCOPUS:10044260739
VL - 26
SP - 635
EP - 637
JO - Nuclear and Particle Physics Proceedings
JF - Nuclear and Particle Physics Proceedings
SN - 2405-6014
IS - C
ER -