Search dblp for Publications

export results for "Optimized Quasi-Monte Carlo Method Based on Low Discrepancy Sequences for Sensitivity Analysis in Air Pollution Modelling."

 download as .bib file

@inproceedings{DBLP:conf/fedcsis/TodorovODF20,
  author       = {Venelin Todorov and
                  Tzvetan Ostromsky and
                  Ivan Dimov and
                  Stefka Fidanova},
  editor       = {Maria Ganzha and
                  Leszek A. Maciaszek and
                  Marcin Paprzycki},
  title        = {Optimized Quasi-Monte Carlo Method Based on Low Discrepancy Sequences
                  for Sensitivity Analysis in Air Pollution Modelling},
  booktitle    = {Communication Papers of the 2020 Federated Conference on Computer
                  Science and Information Systems, FedCSIS 2020, Sofia, Bulgaria, September
                  6-9, 2020},
  series       = {Annals of Computer Science and Information Systems},
  volume       = {23},
  pages        = {25--28},
  year         = {2020},
  url          = {https://doi.org/10.15439/2020F108},
  doi          = {10.15439/2020F108},
  timestamp    = {Sat, 30 Sep 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/fedcsis/TodorovODF20.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.