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Arielle Carr

Arielle K. Carr

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2020 – today

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2024
[j2]
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  - journals/siamsc/ThomasCRCS24
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Stephen J. Thomas, Erin C. Carson, Miroslav Rozlozník, Arielle Carr, Katarzyna Swirydowicz:
Iterated Gauss-Seidel GMRES. SIAM J. Sci. Comput. 46(2): S254-S279 (2024)
[i7]
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  - journals/corr/abs-2402-15941
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Ainara Garcia, Sihong Xie, Arielle Carr:
Implementing Recycling Methods for Linear Systems in Python with an Application to Multiple Objective Optimization. CoRR abs/2402.15941 (2024)
[i6]
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  - journals/corr/abs-2406-17656
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Rishad Islam, Arielle Carr, Colin Jacobs:
Optimization of Approximate Maps for Linear Systems Arising in Discretized PDEs. CoRR abs/2406.17656 (2024)
2023
[c4]
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  - conf/icmla/GarciaXC23
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Ainara Garcia, Sihong Xie, Arielle Carr:
Implementing Recycling Methods for Linear Systems in Python with an Application to Multiple Objective Optimization. ICMLA 2023: 1759-1764
2022
[c3]
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  - conf/bdc/WangCX22
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Sean Wang, Arielle Carr, Sihong Xie:
A Predictor-Corrector Method for Multi-objective Optimization in Fair Machine Learning. BDCAT 2022: 242-247
[c2]
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  - conf/bigdataconf/EnouenMWCX22
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Eric Enouen, Katja Mathesius, Sean Wang, Arielle Carr, Sihong Xie:
Efficient Multiple Objective Optimization for Fair Misinformation Detection. IEEE Big Data 2022: 16-25
[c1]
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  - conf/ieeesec/Mohammadisiahroudi22
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Mohammadhossein Mohammadisiahroudi, Zeguan Wu, Brandon Augustino, Tamás Terlaky, Arielle Carr:
Quantum-enhanced Regression Analysis Using State-of-the-art QLSAs and QIPMs. SEC 2022: 375-380
[i5]
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  - journals/corr/abs-2205-07805
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Stephen J. Thomas, Erin C. Carson, Miro Rozlozník, Arielle Carr, Kasia Swirydowicz:
Post-Modern GMRES. CoRR abs/2205.07805 (2022)
[i4]
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  - journals/corr/abs-2209-07245
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Eric Enouen, Katja Mathesius, Sean Wang, Arielle Carr, Sihong Xie:
Efficient first-order predictor-corrector multiple objective optimization for fair misinformation detection. CoRR abs/2209.07245 (2022)
[i3]
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  - journals/corr/abs-2210-12053
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Arielle K. Carr, Eric de Sturler, Mark Embree:
Analysis of GMRES for Low-Rank and Small-Norm Perturbations of the Identity Matrix. CoRR abs/2210.12053 (2022)
2021
[j1]
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  - journals/siamsc/CarrSG21
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Arielle Carr, Eric de Sturler, Serkan Gugercin:
Preconditioning Parametrized Linear Systems. SIAM J. Sci. Comput. 43(3): A2242-A2267 (2021)
[i2]
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  - journals/corr/abs-2111-09512
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Stephen J. Thomas, Arielle Carr, Kasia Swirydowicz, Marc Day:
ILUT Smoothers for Hybrid C-AMG with Scaled Triangular Factors. CoRR abs/2111.09512 (2021)
[i1]
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  - journals/corr/abs-2112-14681
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Stephen J. Thomas, Arielle Carr, Paul Mullowney, Ruipeng Li, Kasia Swirydowicz:
Neumann Series in GMRES and Algebraic Multigrid Smoothers. CoRR abs/2112.14681 (2021)

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