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Omar Ghattas

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Noemi Petra

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Publications

2023
[j43]
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  - journals/toms/KimVPMGP23
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Ki-Tae Kim, Umberto Villa, Matthew D. Parno, Youssef M. Marzouk, Omar Ghattas, Noemi Petra:
hIPPYlib-MUQ: A Bayesian Inference Software Framework for Integration of Data with Complex Predictive Models under Uncertainty. ACM Trans. Math. Softw. 49(2): 17:1-17:31 (2023)
[i28]
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  - journals/corr/abs-2307-03349
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Nick Alger, Tucker Hartland, Noemi Petra, Omar Ghattas:
Point spread function approximation of high rank Hessians with locally supported non-negative integral kernels. CoRR abs/2307.03349 (2023)
2021
[j35]
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  - journals/toms/VillaPG21
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Umberto Villa, Noemi Petra, Omar Ghattas:
hIPPYlib: An Extensible Software Framework for Large-Scale Inverse Problems Governed by PDEs: Part I: Deterministic Inversion and Linearized Bayesian Inference. ACM Trans. Math. Softw. 47(2): 16:1-16:34 (2021)
[i19]
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  - journals/corr/abs-2112-00713
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Ki-Tae Kim, Umberto Villa, Matthew D. Parno, Youssef M. Marzouk, Omar Ghattas, Noemi Petra:
hIPPYlib-MUQ: A Bayesian Inference Software Framework for Integration of Data with Complex Predictive Models under Uncertainty. CoRR abs/2112.00713 (2021)
2019
[i6]
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  - journals/corr/abs-1909-03948
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Umberto Villa, Noemi Petra, Omar Ghattas:
hIPPYlib: An Extensible Software Framework for Large-Scale Inverse Problems Governed by PDEs; Part I: Deterministic Inversion and Linearized Bayesian Inference. CoRR abs/1909.03948 (2019)
2018
[j30]
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  - journals/jossw/VillaPG18
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Umberto Villa, Noemi Petra, Omar Ghattas:
hIPPYlib: An Extensible Software Framework for Large-Scale Inverse Problems. J. Open Source Softw. 3(30): 940 (2018)
2017
[j28]
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  - journals/juq/AlexanderianPSG17
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Alen Alexanderian, Noemi Petra, Georg Stadler, Omar Ghattas:
Mean-Variance Risk-Averse Optimal Control of Systems Governed by PDEs with Random Parameter Fields Using Quadratic Approximations. SIAM/ASA J. Uncertain. Quantification 5(1): 1166-1192 (2017)
2016
[j25]
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Alen Alexanderian, Noemi Petra, Georg Stadler, Omar Ghattas:
A Fast and Scalable Method for A-Optimal Design of Experiments for Infinite-dimensional Bayesian Nonlinear Inverse Problems. SIAM J. Sci. Comput. 38(1) (2016)
[c25]
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  - conf/vecpar/GhattasIPS16
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Omar Ghattas, Tobin Isaac, Noémi Petra, Georg Stadler:
Scalable Algorithms for Bayesian Inference of Large-Scale Models from Large-Scale Data. VECPAR 2016: 3-6
2015
[j24]
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  - journals/jcphy/IsaacPSG15
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Tobin Isaac, Noemi Petra, Georg Stadler, Omar Ghattas:
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 Antarctic ice sheet. J. Comput. Phys. 296: 348-368 (2015)
2014
[j19]
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  - journals/siamsc/PetraMSG14
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Noemi Petra, James Martin, Georg Stadler, Omar Ghattas:
A Computational Framework for Infinite-Dimensional Bayesian Inverse Problems, Part II: Stochastic Newton MCMC with Application to Ice Sheet Flow Inverse Problems. SIAM J. Sci. Comput. 36(4) (2014)
[j18]
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  - journals/siamsc/AlexanderianPSG14
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Alen Alexanderian, Noemi Petra, Georg Stadler, Omar Ghattas:
A-Optimal Design of Experiments for Infinite-Dimensional Bayesian Linear Inverse Problems with Regularized ℓ₀-Sparsification. SIAM J. Sci. Comput. 36(5) (2014)

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