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STOCHASTIC PARTICLE METHOD

Rate of convergence of a stochastic particle method for the Kolmogorov equation with variable coefficients

Rate of convergence of a stochastic particle method for the Kolmogorov equation with variable coefficients

... L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignemen[r] ...

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A Stochastic Particle Method with Random Weights for the Computation of Statistical Solutions of McKean-Vlasov Equations. Part I: Foundation of the Method and Empirical Evidence

A Stochastic Particle Method with Random Weights for the Computation of Statistical Solutions of McKean-Vlasov Equations. Part I: Foundation of the Method and Empirical Evidence

... Unité de recherche INRIA Sophia Antipolis 2004, route des Lucioles - BP 93 - 06902 Sophia Antipolis Cedex France Unité de recherche INRIA Lorraine : LORIA, Technopôle de Nancy-Brabois - [r] ...

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Optimal Rate of Convergence of a Stochastic Particle Method to Solutions of 1D Viscous Scalar Conservation Law Equations

Optimal Rate of Convergence of a Stochastic Particle Method to Solutions of 1D Viscous Scalar Conservation Law Equations

... Unité de recherche INRIA Sophia Antipolis 2004, route des Lucioles - BP 93 - 06902 Sophia Antipolis Cedex France Unité de recherche INRIA Lorraine : LORIA, Technopôle de Nancy-Brabois - [r] ...

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A Stochastic Particle Method with Random Weights for the Computation of Statistical Solutions of McKean-Vlasov Equations. Part II: Convergence Rate of The Method

A Stochastic Particle Method with Random Weights for the Computation of Statistical Solutions of McKean-Vlasov Equations. Part II: Convergence Rate of The Method

... Unité de recherche INRIA Sophia Antipolis 2004, route des Lucioles - BP 93 - 06902 Sophia Antipolis Cedex France Unité de recherche INRIA Lorraine : LORIA, Technopôle de Nancy-Brabois - [r] ...

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CONVERGENCE OF A LINEARLY TRANSFORMED PARTICLE METHOD FOR AGGREGATION EQUATIONS

CONVERGENCE OF A LINEARLY TRANSFORMED PARTICLE METHOD FOR AGGREGATION EQUATIONS

... SP method versus the LTP method for the potential (a, b) = (4, ...SP method showing the good performance of the LTP method in this case and its good properties at ...fixed particle size ...

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The measurement problem on classical diffusion process: inverse method on stochastic processes

The measurement problem on classical diffusion process: inverse method on stochastic processes

... when stochastic simulations such as the Monte-Carlo method are used, entropy can not only be defined by Boltzmann definition but is related to its statistical ...

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Precipitated sdLDL: An easy method to estimate LDL particle size

Precipitated sdLDL: An easy method to estimate LDL particle size

... associations. The strong positive association between sdLDL-C and LDL-P proves that the cholesterol isolated by the precipitation method represents a great part of the cholesterol contained in sdLDL particles as ...

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Splitting up method for the 2D stochastic Navier-Stokes equations

Splitting up method for the 2D stochastic Navier-Stokes equations

... the stochastic integral or ...the stochastic 2D Navier-Stokes Equations, but also by various hydrodynamical models, such as the Boussinesq, magneto-hydrodynamical and B´enard models; the framework also ...

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Perturbation Method for Particle-like Solutions of the Einstein-Dirac Equations

Perturbation Method for Particle-like Solutions of the Einstein-Dirac Equations

... In this paper, we will prove the existence of solutions of (1.1-1.2) in the form (1.10) by a perturbation method. In particular, we follow the idea described by Ounaies in [6] (see also [9] for a rigorous ...

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A rapid method for evaluating particle sedimentation in aqueous suspensions

A rapid method for evaluating particle sedimentation in aqueous suspensions

... Pour communiquer directement avec un auteur, consultez la première page de la revue dans laquelle son article a été publié afin de trouver ses coordonnées.. Si vous n’arrivez pas à les[r] ...

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Variance reduction method for particle transport equation in spherical geometry

Variance reduction method for particle transport equation in spherical geometry

... 3 Computation of the importance function As it was stated in the previous section, computing the solution to the adjoint equation allows to have an importance function such that the result of importance sampling ...

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State estimation and fault detection using box particle filtering with stochastic measurements

State estimation and fault detection using box particle filtering with stochastic measurements

... Box particle algorithm has been proposed for estimation and fault detection in the case of nonlinear systems with stochatic and bounded ...this method in the case of a target tracking sensor networks ...

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An improved image processing method for particle characterization by shadowgraphy

An improved image processing method for particle characterization by shadowgraphy

... processing method for particle shadowgraphy, aiming to process imperfect particle shadow ...proposed method first detects qualified particles from particle shadow images, and then ...

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A combined statistical bias correction and stochastic downscaling method for precipitation

A combined statistical bias correction and stochastic downscaling method for precipitation

... Although our bias correction (first step) improved simu- lated precipitation for many locations in both seasons, wet biases may remain even after bias correction, particularly for continental winter. In agreement with ...

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Stochastic multiscale method applied to thermo-elasticity of polycrystalline micro-structures

Stochastic multiscale method applied to thermo-elasticity of polycrystalline micro-structures

... with stochastic (macro-scale) finite elements – Use of the meso-scale random field Monte-Carlo simulations at the macro-scale – BUT we do not want to evaluate the random field from the stochastic ...

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An adaptive sparse grid method for elliptic PDEs with stochastic coefficients

An adaptive sparse grid method for elliptic PDEs with stochastic coefficients

... In this work, we discuss the anisotropic sparse grid method with adaptive approach inspired from the works [3, 16, 8]. In [8], we have introduced the Kahrunen-Loève expansion of the inverse of the diffusion ...

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Development of a Hybrid Deterministic-Stochastic Method for Full Core Neutronics

Development of a Hybrid Deterministic-Stochastic Method for Full Core Neutronics

... hybrid method and to investigate its accuracy. Here, full core MC simulations are performed with the minimum number of neutron histories and tallies while keeping high confidence in the solution obtained. As in ...

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A stochastic method to propagate uncertainties along large cores deterministic calculations

A stochastic method to propagate uncertainties along large cores deterministic calculations

... sampling method The values of our input nuclear data are assumed to be described by a Gaussian distribution with the standard deviation given by the covariance ...

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Stochastic modelling of three-dimensional particle rebound from isotropic rough wall surface

Stochastic modelling of three-dimensional particle rebound from isotropic rough wall surface

... incident particle angles less than 7 ...correct particle rebound would be calculated if a virtual wall was introduced for all particle incident ...

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An Evolutionary Framework Using Particle Swarm Optimization for Classification Method PROAFTN

An Evolutionary Framework Using Particle Swarm Optimization for Classification Method PROAFTN

... b Department of Mechanical Engineering, University of New Brunswick, Fredericton, NB, Canada c Department of Computer Science, University of New Brunswick, Saint John, NB, Canada Abstract The aim of this paper is to ...

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