The Monte Carlo method as a tool for statistical characterisation of differential and additive phase shifting algorithms

Publisher： IOP Publishing

ISSN： 1742-6596

Source： Journal of Physics: Conference Series , Vol.274, Iss.1, 2011-01, pp. : 223-231

Access to resources Favorite

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

An Auxiliary Variable Method for Markov Chain Monte Carlo Algorithms in High Dimension

By Marnissi Yosra   Chouzenoux Emilie   Benazza-Benyahia Amel   Pesquet Jean-Christophe  

Entropy, Vol. 20, Iss. 2, 2018-02 ,pp. : 110-110

MDPI

Access to resources Recommend Favorite

Cluster algorithms of the Monte Carlo method, finite-size scaling, and critical exponents of complex lattice models

By Murtazaev A.   Kamilov I.   Magomedov M.  

Journal of Experimental and Theoretical Physics, Vol. 93, Iss. 6, 2001-12 ,pp. : 1330-1336

MAIK Nauka/Interperiodica

Access to resources Recommend Favorite

Calculating phase equilibrium properties of plasma pseudopotential model using hybrid Gibbs statistical ensemble Monte-Carlo technique

By  

Journal of Physics: Conference Series , Vol. 653, Iss. 1, 2015-11 ,pp. : 853-858

IOP Publishing

Access to resources Recommend Favorite

A method to reduce the statistical uncertainty caused by high-energy cutoffs in Monte Carlo treatment planning

By  

Journal of Physics: Conference Series , Vol. 102, Iss. 1, 2008-02 ,pp. : 100-104

IOP Publishing

Access to resources Recommend Favorite

A Theory on Flat Histogram Monte Carlo Algorithms

By Liang Faming  

Journal of Statistical Physics, Vol. 122, Iss. 3, 2006-02 ,pp. : 511-529

Springer Publishing Company

Access to resources Recommend Favorite