Artikler med mandater om offentlig tilgang - Noemi PetraLes mer
Tilgjengelige et eller annet sted: 24
Scalable and efficient algorithms for the propagation of uncertainty from data through inference to prediction for large-scale problems, with application to flow of the …
T Isaac, N Petra, G Stadler, O Ghattas
Journal of Computational Physics 296, 348-368, 2015
Mandater: US Department of Energy
hIPPYlib: An extensible software framework for large-scale inverse problems governed by PDEs: Part I: Deterministic inversion and linearized Bayesian inference
U Villa, N Petra, O Ghattas
ACM Transactions on Mathematical Software (TOMS) 47 (2), 1-34, 2021
Mandater: US National Science Foundation, US Department of Defense
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
Mandater: US National Science Foundation, US Department of Energy
A Bayesian approach for parameter estimation with uncertainty for dynamic power systems
N Petra, CG Petra, Z Zhang, EM Constantinescu, M Anitescu
IEEE Transactions on Power Systems 32 (4), 2735-2743, 2016
Mandater: US National Science Foundation, US Department of Energy
hIPPYlib: An extensible software framework for large-scale inverse problems
U Villa, N Petra, O Ghattas
Journal of Open Source Software 3 (30), 2018
Mandater: US National Science Foundation, US Department of Defense
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
Mandater: US National Science Foundation
Inferring the basal sliding coefficient field for the Stokes ice sheet model under rheological uncertainty
O Babaniyi, R Nicholson, U Villa, N Petra
The Cryosphere 15 (4), 1731-1750, 2021
Mandater: US National Science Foundation
Estimation of the Robin coefficient field in a Poisson problem with uncertain conductivity field
R Nicholson, N Petra, JP Kaipio
Inverse Problems 34 (11), 115005, 2018
Mandater: US National Science Foundation
hIPPYlib-MUQ: A Bayesian inference software framework for integration of data with complex predictive models under uncertainty
KT Kim, U Villa, M Parno, Y Marzouk, O Ghattas, N Petra
ACM Transactions on Mathematical Software 49 (2), 1-31, 2023
Mandater: US National Science Foundation, US Department of Energy, US Department of …
Inversion of geothermal heat flux in a thermomechanically coupled nonlinear Stokes ice sheet model
H Zhu, N Petra, G Stadler, T Isaac, TJR Hughes, O Ghattas
The Cryosphere 10 (4), 1477-1494, 2016
Mandater: US National Science Foundation, US Department of Energy, US National …
On the derivation of quasi-Newton formulas for optimization in function spaces
RG Vuchkov, CG Petra, N Petra
Numerical Functional Analysis and Optimization 41 (13), 1564-1587, 2020
Mandater: US National Science Foundation, US Department of Energy
Hierarchical off-diagonal low-rank approximation of Hessians in inverse problems, with application to ice sheet model initialization
T Hartland, G Stadler, M Perego, K Liegeois, N Petra
Inverse Problems 39 (8), 085006, 2023
Mandater: US National Science Foundation, US Department of Energy
On global normal linear approximations for nonlinear Bayesian inverse problems
R Nicholson, N Petra, U Villa, JP Kaipio
Inverse Problems 39 (5), 054001, 2023
Mandater: US National Science Foundation
Linearized Bayesian inference for Young’s modulus parameter field in an elastic model of slender structures
S Fatehiboroujeni, N Petra, S Goyal
Proceedings of the Royal Society A 476 (2238), 20190476, 2020
Mandater: US National Science Foundation
Statistical treatment of inverse problems constrained by differential equations-based models with stochastic terms
EM Constantinescu, N Petra, J Bessac, CG Petra
SIAM/ASA Journal on Uncertainty Quantification 8 (1), 170-197, 2020
Mandater: US National Science Foundation, US Department of Energy
Second order adjoints in optimization
N Petra, EW Sachs
Numerical Analysis and Optimization: NAO-V, Muscat, Oman, January 2020 V …, 2021
Mandater: US National Science Foundation, US Department of Energy
On the implementation of a quasi-Newton interior-point method for PDE-constrained optimization using finite element discretizations
CG Petra, M Salazar De Troya, N Petra, Y Choi, GM Oxberry, D Tortorelli
Optimization Methods and Software 38 (1), 59-90, 2023
Mandater: US National Science Foundation, US Department of Energy
Democratizing uncertainty quantification
L Seelinger, A Reinarz, MB Lykkegaard, R Akers, AMA Alghamdi, ...
Journal of Computational Physics 521, 113542, 2025
Mandater: UK Engineering and Physical Sciences Research Council
A quasi-Newton interior-point method for optimization in Hilbert spaces
CG Petra, M Salazar De Troya, N Petra, Y Choi, GM Oxberry, D Tortorelli
Proposed Journal Article, unpublished 2019 (LLNL-JRNL-764097), 2019
Mandater: US National Science Foundation, US Department of Energy
Bound Constrained Partial DifferentialEquation Inverse Problem Solution by theSemi-Smooth Newton Method
T Hartland, CG Petra, N Petra, J Wang
Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2021
Mandater: US Department of Energy
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