Alignment methods for biased multicanonical sampling.

نویسندگان

  • Michael Reimer
  • Ahmed Awadalla
  • David Yevick
  • Tao Lu
چکیده

The efficiency of the multicanonical procedure can be significantly improved by applying an additional bias to the numerically generated sample space. However, results obtained by biasing in different sampling regions cannot in general be accurately combined, since their relative normalization coefficient is not known precisely. We demonstrate that for overlapping biasing regions a simple iterative procedure can be employed to determine the required coefficients.

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عنوان ژورنال:
  • Journal of the Optical Society of America. A, Optics, image science, and vision

دوره 24 8  شماره 

صفحات  -

تاریخ انتشار 2007