Improving Random Number Generators in the Monte Carlo simulations via twisting and combining

Lih Yuan Deng, Rui Guo, Dennis K.J. Lin, Fengshan Bai

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

Problems for various random number generators accompanying the Wolff algorithm [U. Wolff, Phys. Rev. Lett. 62 (1989) 361; U. Wolff, Phys. Lett. B 228 (1989) 379] are discussed, including the hidden errors first reported in [A.M. Ferrenberg, D.P. Landau, Y.J. Wong, Phys. Rev. Lett. 69 (1992) 3382]. A general (though simple) method of twisting and combining for improving the performance of these generators is proposed. Some recent generators motivated by such a twisting and combining method with extremely long period are discussed. The proposed method provides a novel and simple way to improve RNGs in its performance.

Original languageEnglish (US)
Pages (from-to)401-408
Number of pages8
JournalComputer Physics Communications
Volume178
Issue number6
DOIs
StatePublished - Mar 15 2008

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Physics and Astronomy(all)

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