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.
A multi-fidelity polynomial chaos-greedy Kaczmarz approach for resource-efficient uncertainty quantification on limited budget [link]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}
}

Downloads: 0