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Akwum Onwunta
Akwum Onwunta
Dept. of Industrial and Systems Engineering, Lehigh University
Verified email at lehigh.edu - Homepage
Title
Cited by
Cited by
Year
Low-rank solvers for unsteady Stokes–Brinkman optimal control problem with random data
P Benner, S Dolgov, A Onwunta, M Stoll
Computer Methods in Applied Mechanics and Engineering 304, 26-54, 2016
642016
Block-diagonal preconditioning for optimal control problems constrained by PDEs with uncertain inputs
P Benner, A Onwunta, M Stoll
SIAM Journal on Matrix Analysis and Applications 37 (2), 491-518, 2016
502016
Low-rank solution of unsteady diffusion equations with stochastic coefficients
P Benner, A Onwunta, M Stoll
SIAM/ASA Journal on Uncertainty Quantification 3 (1), 622-649, 2015
442015
Validating structural credit portfolio models
M Kalkbrener, A Onwunta
Model risk—identification, measurement and management. Risk Books, London†…, 2010
212010
Novel deep neural networks for solving bayesian statistical inverse
H Antil, HC Elman, A Onwunta, D Verma
arXiv preprint arXiv:2102.03974, 2021
202021
Low‐rank solution of an optimal control problem constrained by random Navier‐Stokes equations
P Benner, S Dolgov, A Onwunta, M Stoll
International Journal for Numerical Methods in Fluids 92 (11), 1653-1678, 2020
132020
A low-rank inexact Newton–Krylov method for stochastic eigenvalue problems
P Benner, A Onwunta, M Stoll
Computational Methods in Applied Mathematics 19 (1), 5-22, 2019
132019
Solving optimal control problems governed by random Navier-Stokes equations using low-rank methods
P Benner, S Dolgov, A Onwunta, M Stoll
arXiv preprint arXiv:1703.06097, 2017
112017
TTRISK: Tensor train decomposition algorithm for risk averse optimization
H Antil, S Dolgov, A Onwunta
Numerical Linear Algebra with Applications 30 (3), e2481, 2023
72023
Optimal control, numerics, and applications of fractional PDEs
H Antil, T Brown, R Khatri, A Onwunta, D Verma, M Warma
Handbook of Numerical Analysis 23, 87-114, 2022
72022
A deep neural network approach for parameterized PDEs and Bayesian inverse problems
H Antil, HC Elman, A Onwunta, D Verma
Machine Learning: Science and Technology 4 (3), 035015, 2023
62023
On the existence and uniqueness of the solution of a parabolic optimal control problem with uncertain inputs
P Benner, A Onwunta, M Stoll
arXiv preprint arXiv:1809.10645, 2018
52018
Threshold accepting for credit risk assessment and validation
M Lyra, A Onwunta, P Winker
Journal of Banking Regulation 16, 130-145, 2015
52015
State-constrained optimization problems under uncertainty: A tensor train approach
H Antil, S Dolgov, A Onwunta
arXiv preprint arXiv:2301.08684, 2023
32023
Reduced-order modeling for nonlinear Bayesian statistical inverse problems
HC Elman, A Onwunta
arXiv preprint arXiv:1909.02539, 2019
22019
Low-Rank Iterative Solvers for Large-Scale Stochastic Galerkin Linear Systems
A Onwunta
Otto-von-Guericke Universitšt Magdeburg, 2016
12016
COMISEF WORKING PAPERS SERIES
M Lyra, A Onwunta, P Winker
12010
On the regularity of refinable functions
AA Onwunta
Stellenbosch: University of Stellenbosch, 2006
12006
Deep Nonnegative Matrix Factorization with Beta Divergences
V Leplat, LTK Hien, A Onwunta, N Gillis
arXiv preprint arXiv:2309.08249, 2023
2023
Complexity analysis of regularization methods for implicitly constrained least squares
A Onwunta, CW Royer
arXiv preprint arXiv:2309.07086, 2023
2023
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