Monte Carlo without chains Metadata

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Title

  • Main Title Monte Carlo without chains

Creator

  • Author: Chorin, Alexandre J.
    Creator Type: Personal

Contributor

  • Sponsor: Lawrence Berkeley National Laboratory. Computational Research Division.
    Contributor Type: Organization

Publisher

  • Name: Lawrence Berkeley National Laboratory
    Place of Publication: Berkeley, California
    Additional Info: Ernest Orlando Lawrence Berkeley National Laboratory, Berkeley, CA (United States)

Date

  • Creation: 2007-12-12

Language

  • English

Description

  • Content Description: A sampling method for spin systems is presented. The spin lattice is written as the union of a nested sequence of sublattices, all but the last with conditionally independent spins, which are sampled in succession using their marginals. The marginals are computed concurrently by a fast algorithm; errors in the evaluation of the marginals are offset by weights. There are no Markov chains and each sample is independent of the previous ones; the cost of a sample is proportional to the number of spins (but the number of samples needed for good statistics may grow with array size). The examples include the Edwards-Anderson spin glass in three dimensions.

Subject

  • Keyword: Statistics
  • Keyword: Dimensions
  • Keyword: Sampling
  • Keyword: Spin
  • Keyword: Glass
  • Keyword: Evaluation
  • STI Subject Categories: 97

Source

  • Journal Name: Communications in Applied Mathematics and Computational Science

Collection

  • Name: Office of Scientific & Technical Information Technical Reports
    Code: OSTI

Institution

  • Name: UNT Libraries Government Documents Department
    Code: UNTGD

Resource Type

  • Article

Format

  • Text

Identifier

  • Report No.: LBNL-1314E
  • Grant Number: DE-AC02-05CH11231
  • Office of Scientific & Technical Information Report Number: 945047
  • Archival Resource Key: ark:/67531/metadc897366