Least-Squares Space-Time Formulation for Advection-Diffusion Problem with Efficient Adaptive Solver Based on Matrix Compression

Marcin Los, Paulina Sepúlveda, Mateusz Dobija, Anna Paszynska. Least-Squares Space-Time Formulation for Advection-Diffusion Problem with Efficient Adaptive Solver Based on Matrix Compression. In Jirí Mikyska, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot, editors, Computational Science - ICCS 2023 - 23rd International Conference, Prague, Czech Republic, July 3-5, 2023, Proceedings, Part II. Volume 14074 of Lecture Notes in Computer Science, pages 547-560, Springer, 2023. [doi]

@inproceedings{LosSDP23,
  title = {Least-Squares Space-Time Formulation for Advection-Diffusion Problem with Efficient Adaptive Solver Based on Matrix Compression},
  author = {Marcin Los and Paulina Sepúlveda and Mateusz Dobija and Anna Paszynska},
  year = {2023},
  doi = {10.1007/978-3-031-36021-3_54},
  url = {https://doi.org/10.1007/978-3-031-36021-3_54},
  researchr = {https://researchr.org/publication/LosSDP23},
  cites = {0},
  citedby = {0},
  pages = {547-560},
  booktitle = {Computational Science - ICCS 2023 - 23rd International Conference, Prague, Czech Republic, July 3-5, 2023, Proceedings, Part II},
  editor = {Jirí Mikyska and Clélia de Mulatier and Maciej Paszynski and Valeria V. Krzhizhanovskaya and Jack J. Dongarra and Peter M. A. Sloot},
  volume = {14074},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-36021-3},
}