Finding Points of Importance for Radial Basis Function Approximation of Large Scattered Data

Václav Skala, Samsul Ariffin Abdul Karim, Martin Cervenka. Finding Points of Importance for Radial Basis Function Approximation of Large Scattered Data. In Valeria V. Krzhizhanovskaya, Gábor Závodszky, Michael Harold Lees, Jack J. Dongarra, Peter M. A. Sloot, Sérgio Brissos, João Teixeira, editors, Computational Science - ICCS 2020 - 20th International Conference, Amsterdam, The Netherlands, June 3-5, 2020, Proceedings, Part VI. Volume 12142 of Lecture Notes in Computer Science, pages 239-250, Springer, 2020. [doi]

@inproceedings{SkalaKC20,
  title = {Finding Points of Importance for Radial Basis Function Approximation of Large Scattered Data},
  author = {Václav Skala and Samsul Ariffin Abdul Karim and Martin Cervenka},
  year = {2020},
  doi = {10.1007/978-3-030-50433-5_19},
  url = {https://doi.org/10.1007/978-3-030-50433-5_19},
  researchr = {https://researchr.org/publication/SkalaKC20},
  cites = {0},
  citedby = {0},
  pages = {239-250},
  booktitle = {Computational Science - ICCS 2020 - 20th International Conference, Amsterdam, The Netherlands, June 3-5, 2020, Proceedings, Part VI},
  editor = {Valeria V. Krzhizhanovskaya and Gábor Závodszky and Michael Harold Lees and Jack J. Dongarra and Peter M. A. Sloot and Sérgio Brissos and João Teixeira},
  volume = {12142},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-50433-5},
}