Fast Algorithms for Bayesian Uncertainty Quantification in Large-Scale Linear Inverse Problems Based on Low-Rank Partial Hessian Approximations

H. P. Flath, Lucas C. Wilcox, Volkan Akcelik, Judith Hill, Bart G. van Bloemen Waanders, Omar Ghattas. Fast Algorithms for Bayesian Uncertainty Quantification in Large-Scale Linear Inverse Problems Based on Low-Rank Partial Hessian Approximations. SIAM J. Scientific Computing, 33(1):407-432, 2011. [doi]

@article{FlathWAHWG11,
  title = {Fast Algorithms for Bayesian Uncertainty Quantification in Large-Scale Linear Inverse Problems Based on Low-Rank Partial Hessian Approximations},
  author = {H. P. Flath and Lucas C. Wilcox and Volkan Akcelik and Judith Hill and Bart G. van Bloemen Waanders and Omar Ghattas},
  year = {2011},
  doi = {10.1137/090780717},
  url = {http://dx.doi.org/10.1137/090780717},
  tags = {C++},
  researchr = {https://researchr.org/publication/FlathWAHWG11},
  cites = {0},
  citedby = {0},
  journal = {SIAM J. Scientific Computing},
  volume = {33},
  number = {1},
  pages = {407-432},
}