Using Renormalization-Group Ideas in Monte Carlo Sampling

K. E. Schmidt
Phys. Rev. Lett. 51, 2175 – Published 12 December 1983
PDFExport Citation

Abstract

Renormalization-group methods are used to produce a novel Monte Carlo sampling algorithm which alleviates the problem of critical slowing down. The method is applied by means of a Kadanoff block-spin transformation to the one- and two-dimensional Ising models.

  • Received 6 September 1983

DOI:https://doi.org/10.1103/PhysRevLett.51.2175

©1983 American Physical Society

Authors & Affiliations

K. E. Schmidt

  • Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545

Comments & Replies

Comment on "Using Renormalization-Group Ideas in Monte Carlo Sampling"

Hagai Meirovitch
Phys. Rev. Lett. 53, 952 (1984)

References (Subscription Required)

Click to Expand
Issue

Vol. 51, Iss. 24 — 12 December 1983

Reuse & Permissions
Access Options
Author publication services for translation and copyediting assistance advertisement

Authorization Required


×
×

Images

×

Sign up to receive regular email alerts from Physical Review Letters

Log In

Cancel
×

Search


Article Lookup

Paste a citation or DOI

Enter a citation
×