Sensitivity Studies of an Air Pollution Model by Using Efficient Stochastic Algorithms for Multidimensional Numerical Integration

Tzvetan Ostromsky, Venelin Todorov, Ivan Dimov, Zahari Zlatev. Sensitivity Studies of an Air Pollution Model by Using Efficient Stochastic Algorithms for Multidimensional Numerical Integration. In Ivan Dimov, Stefka Fidanova, editors, Advances in High Performance Computing - Results of the International Conference on "High Performance Computing", HPC 2019, Borovets, Bulgaria, September 2-6, 2019. Volume 902 of Studies in Computational Intelligence, pages 184-195, Springer, 2019. [doi]

@inproceedings{OstromskyTDZ19-0,
  title = {Sensitivity Studies of an Air Pollution Model by Using Efficient Stochastic Algorithms for Multidimensional Numerical Integration},
  author = {Tzvetan Ostromsky and Venelin Todorov and Ivan Dimov and Zahari Zlatev},
  year = {2019},
  doi = {10.1007/978-3-030-55347-0_16},
  url = {https://doi.org/10.1007/978-3-030-55347-0_16},
  researchr = {https://researchr.org/publication/OstromskyTDZ19-0},
  cites = {0},
  citedby = {0},
  pages = {184-195},
  booktitle = {Advances in High Performance Computing - Results of the International Conference on "High Performance Computing", HPC 2019, Borovets, Bulgaria, September 2-6, 2019},
  editor = {Ivan Dimov and Stefka Fidanova},
  volume = {902},
  series = {Studies in Computational Intelligence},
  publisher = {Springer},
  isbn = {978-3-030-55347-0},
}