A Fast and Scalable Method for A-Optimal Design of Experiments for Infinite-dimensional Bayesian Nonlinear Inverse Problems

Alen Alexanderian, Noemi Petra, Georg Stadler, Omar Ghattas. A Fast and Scalable Method for A-Optimal Design of Experiments for Infinite-dimensional Bayesian Nonlinear Inverse Problems. SIAM J. Scientific Computing, 38(1), 2016. [doi]

@article{AlexanderianPSG16,
  title = {A Fast and Scalable Method for A-Optimal Design of Experiments for Infinite-dimensional Bayesian Nonlinear Inverse Problems},
  author = {Alen Alexanderian and Noemi Petra and Georg Stadler and Omar Ghattas},
  year = {2016},
  doi = {10.1137/140992564},
  url = {http://dx.doi.org/10.1137/140992564},
  researchr = {https://researchr.org/publication/AlexanderianPSG16},
  cites = {0},
  citedby = {0},
  journal = {SIAM J. Scientific Computing},
  volume = {38},
  number = {1},
}