Phys. Rev. Lett. 63, 1195–1198 (1989)Optimized Monte Carlo data analysisReceived 17 February 1989; published in the issue dated 18 September 1989 We present a new method for optimizing the analysis of data from multiple Monte Carlo computer simulations over wide ranges of parameter values. Explicit error estimates allow objective planning of the lengths of runs and the parameter values to be simulated. The method is applicable to simulations in lattice gauge theories, chemistry, and biology, as well as statistical mechanics. © 1989 The American Physical Society URL:
http://link.aps.org/doi/10.1103/PhysRevLett.63.1195
DOI:
10.1103/PhysRevLett.63.1195
PACS:
05.50.+q, 64.60.Fr, 75.10.Hk
|
|
About | Terms and Conditions | Subscriptions | Search | Help
Use of the American Physical Society websites and journals implies that the user has read and agrees to our Terms and Conditions and any applicable Subscription Agreement. Physical Review®, Physical Review Letters®, Reviews of Modern Physics®, and Physical Review Special Topics® are trademarks of the American Physical Society.