Efficient Krylov subspace methods for uncertainty quantification in large Bayesian linear inverse problems

Arvind K. Saibaba, Julianne Chung, Katrina Petroske. Efficient Krylov subspace methods for uncertainty quantification in large Bayesian linear inverse problems. Numerical Lin. Alg. with Applic., 27(5), 2020. [doi]

@article{SaibabaCP20,
  title = {Efficient Krylov subspace methods for uncertainty quantification in large Bayesian linear inverse problems},
  author = {Arvind K. Saibaba and Julianne Chung and Katrina Petroske},
  year = {2020},
  doi = {10.1002/nla.2325},
  url = {https://doi.org/10.1002/nla.2325},
  researchr = {https://researchr.org/publication/SaibabaCP20},
  cites = {0},
  citedby = {0},
  journal = {Numerical Lin. Alg. with Applic.},
  volume = {27},
  number = {5},
}