Artigos com autorizações de acesso público - Alen AlexanderianSaiba mais
2 artigos não disponíveis publicamente
Investigation of Biotransport in a Tumor With Uncertain Material Properties Using a Nonintrusive Spectral Uncertainty Quantification Method
A Alexanderian, L Zhu, M Salloum, R Ma, M Yu
Journal of Biomechanical Engineering 139 (9), 091006, 2017
Autorizações: National Natural Science Foundation of China
Modeling frequency dependent ultrasound attenuation in cortical bone: Solving direct and inverse problems
RD White, O Yousefian, A Alexanderian, M Muller
2020 IEEE International Ultrasonics Symposium (IUS), 1-3, 2020
Autorizações: US National Science Foundation, US National Institutes of Health
34 artigos disponíveis publicamente
On Bayesian A-and D-optimal experimental designs in infinite dimensions
A Alexanderian, PJ Gloor, O Ghattas
Bayesian Analysis, 2016
Autorizações: US National Science Foundation, US Department of Energy
Mean-variance risk-averse optimal control of systems governed by PDEs with random parameter fields using quadratic approximations
A Alexanderian, N Petra, G Stadler, O Ghattas
SIAM/ASA Journal on Uncertainty Quantification 5 (1), 1166-1192, 2017
Autorizações: US National Science Foundation, US Department of Energy
Optimal experimental design for infinite-dimensional Bayesian inverse problems governed by PDEs: A review
A Alexanderian
Inverse Problems, 2021
Autorizações: US National Science Foundation
Randomized Matrix-free Trace and Log-Determinant Estimators
AK Saibaba, A Alexanderian, ICF Ipsen
Numerische Mathematik, 2017
Autorizações: US Department of Defense
Goal-oriented optimal design of experiments for large-scale Bayesian linear inverse problems
A Attia, A Alexanderian, AK Saibaba
Inverse Problems 34 (9), 095009, 2018
Autorizações: US National Science Foundation, US Department of Energy
Variance-based sensitivity analysis for time-dependent processes
A Alexanderian, PA Gremaud, RC Smith
Reliability Engineering & System Safety, 2020
Autorizações: US National Science Foundation, US Department of Defense
Efficient D-optimal design of experiments for infinite-dimensional Bayesian linear inverse problems
A Alexanderian, AK Saibaba
SIAM Journal on Scientific Computing 40 (5), A2956-A2985, 2018
Autorizações: US National Science Foundation
Efficient computation of Sobol'indices for stochastic models
JL Hart, A Alexanderian, PA Gremaud
SIAM Journal on Scientific Computing., 2017
Autorizações: US National Science Foundation
A-optimal encoding weights for nonlinear inverse problems, with applications to the Helmholtz inverse problem
B Crestel, A Alexanderian, G Stadler, O Ghattas
Inverse Problems, 2017
Autorizações: US National Science Foundation, US Department of Energy
Optimal experimental design under irreducible uncertainty for linear inverse problems governed by PDEs
K Koval, A Alexanderian, G Stadler
Inverse Problems 36 (7), 075007, 2020
Autorizações: US National Science Foundation
Optimal design of large-scale Bayesian linear inverse problems under reducible model uncertainty: Good to know what you don't know
A Alexanderian, N Petra, G Stadler, I Sunseri
SIAM/ASA Journal on Uncertainty Quantification 9 (1), 163-184, 2021
Autorizações: US National Science Foundation
Hyper-differential sensitivity analysis for inverse problems constrained by partial differential equations
I Sunseri, J Hart, B van Bloemen Waanders, A Alexanderian
Inverse Problems 36 (12), 125001, 2020
Autorizações: US National Science Foundation, US Department of Energy
Active subspace-based dimension reduction for chemical kinetics applications with epistemic uncertainty
M Vohra, A Alexanderian, H Guy, S Mahadevan
Combustion and Flame 204, 152-161, 2019
Autorizações: US National Science Foundation, US Department of Energy
Efficient marginalization-based MCMC methods for hierarchical Bayesian inverse problems
AK Saibaba, J Bardsley, DA Brown, A Alexanderian
SIAM/ASA Journal on Uncertainty Quantification 7 (3), 1105-1131, 2019
Autorizações: US National Science Foundation
Randomization and Reweighted -Minimization for A-Optimal Design of Linear Inverse Problems
E Herman, A Alexanderian, AK Saibaba
SIAM Journal on Scientific Computing 42 (3), A1714-A1740, 2020
Autorizações: US National Science Foundation
Derivative-based global sensitivity analysis for models with high-dimensional inputs and functional outputs
HL Cleaves, A Alexanderian, H Guy, RC Smith, M Yu
SIAM Journal on Scientific Computing 41 (6), A3524-A3551, 2019
Autorizações: US National Science Foundation, US Department of Defense
Stability of Nonlinear Convection–Diffusion–Reaction Systems in Discontinuous Galerkin Methods
C Michoski, A Alexanderian, C Paillet, EJ Kubatko, C Dawson
Journal of Scientific Computing, 1-35, 2017
Autorizações: US National Science Foundation
Optimal design of large-scale nonlinear Bayesian inverse problems under model uncertainty
A Alexanderian, R Nicholson, N Petra
Inverse Problems, 2024
Autorizações: US National Science Foundation
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