Efficient gradient estimation using finite differencing and likelihood ratios for kinetic Monte Carlo simulations

Jacob A. McGill, Babatunde A. Ogunnaike, Dionisios G. Vlachos. Efficient gradient estimation using finite differencing and likelihood ratios for kinetic Monte Carlo simulations. J. Comput. Physics, 231(21):7170-7186, 2012. [doi]

@article{McGillOV12,
  title = {Efficient gradient estimation using finite differencing and likelihood ratios for kinetic Monte Carlo simulations},
  author = {Jacob A. McGill and Babatunde A. Ogunnaike and Dionisios G. Vlachos},
  year = {2012},
  doi = {10.1016/j.jcp.2012.06.037},
  url = {http://dx.doi.org/10.1016/j.jcp.2012.06.037},
  researchr = {https://researchr.org/publication/McGillOV12},
  cites = {0},
  citedby = {0},
  journal = {J. Comput. Physics},
  volume = {231},
  number = {21},
  pages = {7170-7186},
}