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Journal of the Optical Society of America A

Journal of the Optical Society of America A

| OPTICS, IMAGE SCIENCE, AND VISION

  • Editor: Stephen A. Burns
  • Vol. 23, Iss. 11 — Nov. 1, 2006
  • pp: 2912–2918

Improved multicanonical algorithms

David Yevick and Tao Lu  »View Author Affiliations


JOSA A, Vol. 23, Issue 11, pp. 2912-2918 (2006)
http://dx.doi.org/10.1364/JOSAA.23.002912


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Abstract

We introduce several easily programmed techniques that enhance the accuracy of multicanonical sampling. With minor modifications to the standard technique, our methods achieve equivalent or enhanced accuracy compared with existing, often far more complex, algorithmic refinements. Despite their simple formulation, these procedures have been previously overlooked because of the low cost of additional realizations in numerical calculations. When applied in the context of our recently introduced experimental multicanonical measurements, however, significant time savings can result.

© 2006 Optical Society of America

OCIS Codes
(060.2310) Fiber optics and optical communications : Fiber optics
(060.2330) Fiber optics and optical communications : Fiber optics communications
(060.2360) Fiber optics and optical communications : Fiber optics links and subsystems
(060.2420) Fiber optics and optical communications : Fibers, polarization-maintaining
(060.4510) Fiber optics and optical communications : Optical communications

ToC Category:
Fiber Optics and Optical Communications

History
Original Manuscript: November 17, 2005
Revised Manuscript: May 1, 2006
Manuscript Accepted: June 8, 2006

Citation
David Yevick and Tao Lu, "Improved multicanonical algorithms," J. Opt. Soc. Am. A 23, 2912-2918 (2006)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-23-11-2912

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