arXiv:1404.4328
Comput.Phys.Commun. 186 (2015) 1-10
by: Kroeninger, Kevin (Gottingen U., II. Phys. Inst.) et al.
Abstract:
A new Monte Carlo algorithm for phase-space sampling, named (MC)**3, is presented. It is based on Markov Chain Monte Carlo techniques but at the same time incorporates prior knowledge about the target distribution in the form of suitable phase-space mappings from a corresponding Multi-Channel importance sampling Monte Carlo. The combined approach inherits the benefits of both techniques while typical drawbacks of either solution get ameliorated.
Comput.Phys.Commun. 186 (2015) 1-10
by: Kroeninger, Kevin (Gottingen U., II. Phys. Inst.) et al.
Abstract:
A new Monte Carlo algorithm for phase-space sampling, named (MC)**3, is presented. It is based on Markov Chain Monte Carlo techniques but at the same time incorporates prior knowledge about the target distribution in the form of suitable phase-space mappings from a corresponding Multi-Channel importance sampling Monte Carlo. The combined approach inherits the benefits of both techniques while typical drawbacks of either solution get ameliorated.
Link:
http://inspirehep.net/record/1291057
Publ date:
Thursday, April 17, 2014 - 04:27
