Literature DB >> 16383885

Monte carlo estimates of domain-deformation sensitivities.

Maxime Roger1, Stephane Blanco, Mouna El Hafi, Richard Fournier.   

Abstract

It is shown that, when a Monte Carlo algorithm is used for estimation of any physical quantity A, a simple and fast additional procedure can be implemented that simultaneously estimates the sensitivity of A to any problem parameter. The proposed approach is general and systematic in the sense that: (i) it includes domain-deformation sensitivities, i.e., cases where a change in the parameter modifies the domain over which the sampled random variables are defined and (ii) a simple generic procedure is presented to address all remaining free choices in terms of variance minimization.

Year:  2005        PMID: 16383885     DOI: 10.1103/PhysRevLett.95.180601

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  1 in total

1.  Addressing nonlinearities in Monte Carlo.

Authors:  Jérémi Dauchet; Jean-Jacques Bezian; Stéphane Blanco; Cyril Caliot; Julien Charon; Christophe Coustet; Mouna El Hafi; Vincent Eymet; Olivier Farges; Vincent Forest; Richard Fournier; Mathieu Galtier; Jacques Gautrais; Anaïs Khuong; Lionel Pelissier; Benjamin Piaud; Maxime Roger; Guillaume Terrée; Sebastian Weitz
Journal:  Sci Rep       Date:  2018-09-05       Impact factor: 4.379

  1 in total

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