Search Results - "Le Maıˆtre, Olivier P."

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  1. 1

    A surrogate-based optimal likelihood function for the Bayesian calibration of catalytic recombination in atmospheric entry protection materials by del Val, Anabel, Le Maître, Olivier P., Magin, Thierry E., Chazot, Olivier, Congedo, Pietro M.

    Published in Applied Mathematical Modelling (01-01-2022)
    “…•Contribution to the surface heat flux of exothermic recombination reactions remains highly uncertain.•Solving an auxiliary maximum likelihood problem reduces…”
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  2. 2

    Quantifying initial and wind forcing uncertainties in the Gulf of Mexico by Li, Guotu, Iskandarani, Mohamed, Hénaff, Matthieu Le, Winokur, Justin, Le Maître, Olivier P., Knio, Omar M.

    Published in Computational geosciences (01-10-2016)
    “…This study aims at analyzing the combined impact of uncertainties in initial conditions and wind forcing fields in ocean general circulation models (OGCM)…”
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  3. 3

    Generalized spectral decomposition for stochastic nonlinear problems by Nouy, Anthony, Le Maıˆtre, Olivier P.

    Published in Journal of computational physics (10-01-2009)
    “…We present an extension of the generalized spectral decomposition method for the resolution of nonlinear stochastic problems. The method consists in the…”
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  4. 4

    Path planning in uncertain flow fields using ensemble method by Wang, Tong, Le Maître, Olivier P., Hoteit, Ibrahim, Knio, Omar M.

    Published in Ocean dynamics (01-10-2016)
    “…An ensemble-based approach is developed to conduct optimal path planning in unsteady ocean currents under uncertainty. We focus our attention on…”
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  5. 5

    Simultaneous identification of elastic properties, thickness, and diameter of arteries excited with ultrasound radiation force by Dutta, Parikshit, Urban, Matthew W, Le Maître, Olivier P, Greenleaf, James F, Aquino, Wilkins

    Published in Physics in medicine & biology (07-07-2015)
    “…The elastic and geometric properties of arteries have been long recognized as important predictors of cardiovascular disease. This work presents a robust…”
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  6. 6

    A tangent linear approximation of the ignition delay time. I: Sensitivity to rate parameters by Almohammadi, Saja, Hantouche, Mireille, Le Maître, Olivier P., Knio, Omar M.

    Published in Combustion and flame (01-08-2021)
    “…A tangent linear approximation is developed to estimate the sensitivity of the ignition delay time with respect to individual rate parameters in a detailed…”
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  7. 7

    A second-order accurate numerical scheme for a time-fractional Fokker–Planck equation by Mustapha, Kassem, Knio, Omar M, Le Maître, Olivier P

    Published in IMA journal of numerical analysis (03-08-2023)
    “…Abstract A second-order accurate time-stepping scheme for solving a time-fractional Fokker–Planck equation of order $\alpha \in (0, 1)$, with a general driving…”
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  8. 8

    A tangent linear approximation of the ignition delay time. II: Sensitivity to thermochemical parameters by Hantouche, Mireille, Almohammadi, Saja, Le Maître, Olivier P., Knio, Omar M.

    Published in Combustion and flame (01-01-2022)
    “…The tangent linear approximation (TLA) developed in Almohammadi et al. (Combust. Flame 230, 111426) is extended to estimate the sensitivity of the ignition…”
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  9. 9

    Uncertainty quantification in a chemical system using error estimate-based mesh adaption by Mathelin, Lionel, Le Maître, Olivier P.

    “…This paper describes a rigorous a posteriori error analysis for the stochastic solution of non-linear uncertain chemical models. The dual-based a posteriori…”
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  10. 10

    Stochastic preconditioning of domain decomposition methods for elliptic equations with random coefficients by Reis, João F., Le Maître, Olivier P., Congedo, Pietro M., Mycek, Paul

    “…This paper aims at developing an efficient preconditioned iterative domain decomposition (DD) method for the sampling of linear stochastic elliptic equations…”
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  11. 11

    Surrogate-based parameter inference in debris flow model by Navarro, Maria, Le Maître, Olivier P., Hoteit, Ibrahim, George, David L., Mandli, Kyle T., Knio, Omar M.

    Published in Computational geosciences (01-12-2018)
    “…This work tackles the problem of calibrating the unknown parameters of a debris flow model with the drawback that the information regarding the experimental…”
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  12. 12

    Bayesian inference of earthquake parameters from buoy data using a polynomial chaos-based surrogate by Giraldi, Loïc, Le Maître, Olivier P., Mandli, Kyle T., Dawson, Clint N., Hoteit, Ibrahim, Knio, Omar M.

    Published in Computational geosciences (01-08-2017)
    “…This work addresses the estimation of the parameters of an earthquake model by the consequent tsunami, with an application to the Chile 2010 event. We are…”
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  13. 13

    A stochastic particle-mesh scheme for uncertainty propagation in vortical flows by Le Maıˆtre, Olivier P., Knio, Omar M.

    Published in Journal of computational physics (10-09-2007)
    “…A new mesh-particle scheme is constructed for uncertainty propagation in vortical flow. The scheme is based on the incorporation of polynomial chaos (PC)…”
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  14. 14

    Multi-model polynomial chaos surrogate dictionary for Bayesian inference in elasticity problems by Contreras, Andres A., Le Maître, Olivier P., Aquino, Wilkins, Knio, Omar M.

    Published in Probabilistic engineering mechanics (01-10-2016)
    “…A method is presented for inferring the presence of an inclusion inside a domain; the proposed approach is suitable to be used in a diagnostic device with low…”
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  15. 15

    Bayesian calibration of order and diffusivity parameters in a fractional diffusion equation by Alzahrani, Hasnaa H, Lucchesi, Marco, Mustapha, Kassem, Le Maître, Olivier P, Knio, Omar M

    Published in Journal of physics communications (01-08-2021)
    “…Abstract This work focuses on parameter calibration of a variable-diffusivity fractional diffusion model. A random, spatially-varying diffusivity field with…”
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  16. 16

    Simplified CSP analysis of a stiff stochastic ODE system by Salloum, Maher, Alexanderian, Alen, Le Maître, Olivier P., Najm, Habib N., Knio, Omar M.

    “…We develop a simplified computational singular perturbation (CSP) analysis of a stochastic dynamical system. We focus on the case of parametric uncertainty,…”
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  17. 17

    Preconditioned Bayesian Regression for Stochastic Chemical Kinetics by Alexanderian, Alen, Rizzi, Francesco, Rathinam, Muruhan, Le Maître, Olivier P., Knio, Omar M.

    Published in Journal of scientific computing (01-03-2014)
    “…We develop a preconditioned Bayesian regression method that enables sparse polynomial chaos representations of noisy outputs for stochastic chemical systems…”
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  18. 18

    Coordinate transformation and Polynomial Chaos for the Bayesian inference of a Gaussian process with parametrized prior covariance function by Sraj, Ihab, Le Maître, Olivier P., Knio, Omar M., Hoteit, Ibrahim

    “…This paper addresses model dimensionality reduction for Bayesian inference based on prior Gaussian fields with uncertainty in the covariance function…”
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  19. 19

    Stochastic calibration of a carbon nitridation model from plasma wind tunnel experiments using a Bayesian formulation by del Val, Anabel, Le Maître, Olivier P., Congedo, Pietro M., Magin, Thierry E.

    Published in Carbon (New York) (05-11-2022)
    “…In this work, we calibrate a carbon nitridation model for a broad span of surface temperatures from existing plasma wind tunnel measurements by accounting for…”
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  20. 20

    Optimal projection of observations in a Bayesian setting by Giraldi, Loïc, Le Maître, Olivier P., Hoteit, Ibrahim, Knio, Omar M.

    Published in Computational statistics & data analysis (01-08-2018)
    “…Optimal dimensionality reduction methods are proposed for the Bayesian inference of a Gaussian linear model with additive noise in presence of overabundant…”
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