A multi-fidelity polynomial chaos-greedy Kaczmarz approach for resource-efficient uncertainty quantification on limited budget. Alemazkoor, N., Louhghalam, A., & Tootkaboni, M. Computer methods in applied mechanics and engineering, 2022.
Paper bibtex @article{11,
author = {Negin Alemazkoor and Arghavan Louhghalam and Mazdak Tootkaboni},
title = {A multi-fidelity polynomial chaos-greedy Kaczmarz approach for resource-efficient uncertainty quantification on limited budget},
year = {2022},
journal = {Computer methods in applied mechanics and engineering},
url = {https://doi.org/10.1016/j.cma.2021.114290}
}
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