[PDF] Top 20 A new Implicit Monte-Carlo scheme for photonics (without teleportation error and without tilts)

... present a new implicit Monte-Carlo scheme for ...The new solver combines the benefits of both the IMC solver of Fleck & Cummings and the SMC solver of Ahrens ... Voir le document complet

... models for photonics and solve them with a Monte-Carlo (MC) ...conditions a reduced model (gPC based or not) is ...models for uncertainty quantification and the ... Voir le document complet

... like for finite differences schemes for ...with Monte Carlo simulations; the use of empirical regression methods and machine learning techniques is developed in [ 20 , 33 ] (also called ... Voir le document complet

... the new MC scheme we suggested in the previous ...the new approach. We then consider three spatially dependent problems for which analytical solutions are not anymore available (to our ... Voir le document complet

... presented a new Monte Carlo method that solves neutron noise equations in the frequency ...remove implicit capture at low and high frequencies) and it is based on a real total ... Voir le document complet

... propose a new Asymptotic Preserving Monte Carlo method which solves the Boltzmann equation of gas ...The scheme proposed here is inspired by some recent papers on the same subject [24, ... Voir le document complet

... presented a new Monte Carlo method that solves neutron noise ...This new method does not use any weight cancellation techniques, is faster than the method developed in [ 7 ] and is more ... Voir le document complet

... Then, a benchmark between HORUS3D/N and TRIPOLI-4® in its new depletion mode was ...of a 3D full core depletion computation with TRIPOLI-4® and compare it to the performances of our deterministic ... Voir le document complet

... have a water- mark detector. These devices refuse to record a watermarked content since it is copyrighted ...that a user shot during his holidays could be rejected by his storage ...implies a ... Voir le document complet

... as a random ...inference for strongly non-linear models such as particle filters [4] and Markov Chain Monte Carlo (MCMC) [5], it is now possible to solve com- plex state space models ... Voir le document complet

... is a multi-disciplinary open access archive for the deposit and dissemination of sci- entific research documents, whether they are pub- lished or ... Voir le document complet

... priors. For this reason, many Bayesian estimators are computed using sam- ples generated according to the posterior using Markov chain Monte Carlo (MCMC) sampling techniques ...distributions, ... Voir le document complet

... of a hidden object of interest x ∈ R d based on (noisy) observations y ∈ R n ...stand for parameters of a given model in machine learning [1] or may represent a signal or image to be recovered ... Voir le document complet

... is a variance reduction technique that successfully increases the accuracy of Monte Carlo methods in rare event probability estimation [ Garvels 2000 , Glasserman 1996 , L’Ecuyer 2007a , ... Voir le document complet

... The simulation of the Gamma process is based on an importance sampling scheme, using a hidden Markov representation of the ion channel model.. We study through this model the degeneracy [r] ... Voir le document complet

... stand for parameters of a given model in machine learning [1] or may represent a signal or image to be recovered within an inverse ...[2]. A widely used optimization-based approach is the ... Voir le document complet

... Nested Monte-Carlo Search, searches at the highest level are repeatedly performed until the thinking time is ...Nested Monte-Carlo search has been successful in establishing world records in ... Voir le document complet

... clock Monte Carlo technique for sampling each successive chain step in constant ...on a recently proposed factorized transition filter and its core features include its O(1) computational ... Voir le document complet

... l’agent a 3 : r 1 7→ 2, r 2 7→ 3, r 3 7→ ...soit A(a 1 ) = {r 2 }, A(a 2 ) = {r 3 } et A(a 3 ) = {r 1 }, ce qui donne un vecteur h2, 2, ... Voir le document complet

... cette for- mule telle qu’elle est explicitée est presque inexploitable et est vraiment non ...de Monte-carlo qui sera quasiment toujours utilisé pour évaluer des espérances non ... Voir le document complet