Olivier P. Le Maître
Orcid: 0000-0002-3811-7787Affiliations:
- Duke University, Durham, USA
According to our database1,
Olivier P. Le Maître
authored at least 40 papers
between 2004 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Change of Measure for Bayesian Field Inversion with Hierarchical Hyperparameters Sampling.
CoRR, 2024
Preconditioners based on Voronoi quantizers of random variable coefficients for stochastic elliptic partial differential equations.
CoRR, 2024
2022
Risk-Averse Stochastic Programming vs. Adaptive Robust Optimization: A Virtual Power Plant Application.
INFORMS J. Comput., 2022
2021
Sample average approximation for risk-averse problems: A virtual power plant scheduling application.
EURO J. Comput. Optim., 2021
A second-order accurate numerical scheme for a time-fractional Fokker-Planck equation.
CoRR, 2021
2020
Second order linear differential equations with analytic uncertainties: Stochastic analysis via the computation of the probability density function.
J. Comput. Appl. Math., 2020
A surrogate-based optimal likelihood function for the Bayesian calibration of catalytic recombination in atmospheric entry protection materials.
CoRR, 2020
2019
J. Sci. Comput., 2019
2018
Parallel Domain Decomposition Strategies for Stochastic Elliptic Equations Part B: Accelerated Monte Carlo Sampling with Local PC Expansions.
SIAM J. Sci. Comput., 2018
Parallel Domain Decomposition Strategies for Stochastic Elliptic Equations. Part A: Local Karhunen-Loève Representations.
SIAM J. Sci. Comput., 2018
Exploring the interplay of resilience and energy consumption for a task-based partial differential equations preconditioner.
Parallel Comput., 2018
Int. J. High Perform. Comput. Appl., 2018
Comput. Stat. Data Anal., 2018
2017
Discrete A Priori Bounds for the Detection of Corrupted PDE Solutions in Exascale Computations.
SIAM J. Sci. Comput., 2017
Nonintrusive Polynomial Chaos Expansions for Sensitivity Analysis in Stochastic Differential Equations.
SIAM/ASA J. Uncertain. Quantification, 2017
A resilient domain decomposition polynomial chaos solver for uncertain elliptic PDEs.
Comput. Phys. Commun., 2017
2016
SIAM Rev., 2016
Sparse Pseudo Spectral Projection Methods with Directional Adaptation for Uncertainty Quantification.
J. Sci. Comput., 2016
Scalability of Partial Differential Equations Preconditioner Resilient to Soft and Hard Faults.
Proceedings of the High Performance Computing - 31st International Conference, 2016
Performance Scaling Variability and Energy Analysis for a Resilient ULFM-based PDE Solver.
Proceedings of the 7th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, 2016
ULFM-MPI Implementation of a Resilient Task-Based Partial Differential Equations Preconditioner.
Proceedings of the ACM Workshop on Fault-Tolerance for HPC at Extreme Scale, 2016
2015
SIAM J. Sci. Comput., 2015
Reliab. Eng. Syst. Saf., 2015
2014
Model Reduction Based on Proper Generalized Decomposition for the Stochastic Steady Incompressible Navier-Stokes Equations.
SIAM J. Sci. Comput., 2014
J. Sci. Comput., 2014
Proceedings of the 2014 Spring Simulation Multiconference, 2014
2013
Proceedings of the International Conference on Computational Science, 2013
2012
Adaptive Anisotropic Spectral Stochastic Methods for Uncertain Scalar Conservation Laws.
SIAM J. Sci. Comput., 2012
J. Sci. Comput., 2012
2010
Spectral Representation and Reduced Order Modeling of the Dynamics of Stochastic Reaction Networks via Adaptive Data Partitioning.
SIAM J. Sci. Comput., 2010
Intrusive Galerkin methods with upwinding for uncertain nonlinear hyperbolic systems.
J. Comput. Phys., 2010
J. Comput. Phys., 2010
J. Comput. Appl. Math., 2010
2009
J. Comput. Phys., 2009
2007
SIAM J. Sci. Comput., 2007
J. Comput. Phys., 2007
2004
SIAM J. Sci. Comput., 2004
Numerical Challenges in the Use of Polynomial Chaos Representations for Stochastic Processes.
SIAM J. Sci. Comput., 2004