Alen Alexanderian
Orcid: 0000-0002-6371-6618
According to our database1,
Alen Alexanderian
authored at least 30 papers
between 2009 and 2024.
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Bibliography
2024
2023
Appl. Math. Lett., June, 2023
Sensitivity Analysis of the Information Gain in Infinite-Dimensional Bayesian Linear Inverse Problems.
CoRR, 2023
2022
Optimal design of large-scale nonlinear Bayesian inverse problems under model uncertainty.
CoRR, 2022
CoRR, 2022
2021
Multiscale Model. Simul., 2021
Optimal Design of Large-scale Bayesian Linear Inverse Problems Under Reducible Model Uncertainty: Good to Know What You Don't Know.
SIAM/ASA J. Uncertain. Quantification, 2021
2020
Randomization and Reweighted ℓ<sub>1</sub>-Minimization for A-Optimal Design of Linear Inverse Problems.
SIAM J. Sci. Comput., 2020
Reliab. Eng. Syst. Saf., 2020
A Distributed Active Subspace Method for Scalable Surrogate Modeling of Function Valued Outputs.
J. Sci. Comput., 2020
Structure exploiting methods for fast uncertainty quantification in multiphase flow through heterogeneous media.
CoRR, 2020
Monte Carlo Estimators for the Schatten p-norm of Symmetric Positive Semidefinite Matrices.
CoRR, 2020
2019
Derivative-Based Global Sensitivity Analysis for Models with High-Dimensional Inputs and Functional Outputs.
SIAM J. Sci. Comput., 2019
Efficient Marginalization-Based MCMC Methods for Hierarchical Bayesian Inverse Problems.
SIAM/ASA J. Uncertain. Quantification, 2019
J. Sci. Comput., 2019
Optimal experimental design under irreducible uncertainty for inverse problems governed by PDEs.
CoRR, 2019
Randomization and reweighted 𝓁<sup>1</sup>-minimization for A-optimal design of linear inverse problems.
CoRR, 2019
2018
Efficient D-Optimal Design of Experiments for Infinite-Dimensional Bayesian Linear Inverse Problems.
SIAM J. Sci. Comput., 2018
Goal-Oriented Optimal Design of Experiments for Large-Scale Bayesian Linear Inverse Problems.
CoRR, 2018
2017
SIAM J. Sci. Comput., 2017
Numerische Mathematik, 2017
Mean-Variance Risk-Averse Optimal Control of Systems Governed by PDEs with Random Parameter Fields Using Quadratic Approximations.
SIAM/ASA J. Uncertain. Quantification, 2017
Stability of Nonlinear Convection-Diffusion-Reaction Systems in Discontinuous Galerkin Methods.
J. Sci. Comput., 2017
2016
A Fast and Scalable Method for A-Optimal Design of Experiments for Infinite-dimensional Bayesian Nonlinear Inverse Problems.
SIAM J. Sci. Comput., 2016
2014
A-Optimal Design of Experiments for Infinite-Dimensional Bayesian Linear Inverse Problems with Regularized ℓ<sub>0</sub>-Sparsification.
SIAM J. Sci. Comput., 2014
J. Sci. Comput., 2014
2012
J. Sci. Comput., 2012
2009
Comput. Sci. Eng., 2009