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  1. A numerical evaluation of the source identification algorithm for atmospheric chemistry model with the concentrations time series data

    Penenko, A. V. & Mukatova, Z. S., 1 Jan 2018, 24th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. Romanovskii, O. A. & Matvienko, G. G. (eds.). The International Society for Optical Engineering, Vol. 10833. p. 330 5 p. 108338R. (Proceedings of SPIE; vol. 10833).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  2. A Newton–Kantorovich Method in Inverse Source Problems for Production-Destruction Models with Time Series-Type Measurement Data

    Penenko, A. V., 1 Jan 2019, In: Numerical Analysis and Applications. 12, 1, p. 51-69 19 p.

    Research output: Contribution to journal › Article › peer-review

  3. Algorithms for the inverse modelling of transport and transformation of atmospheric pollutants

    Penenko, A. V., 17 Dec 2018, In: IOP Conference Series: Earth and Environmental Science. 211, 1, 012052.

    Research output: Contribution to journal › Conference article › peer-review

  4. Algorithms based on sensitivity operators for analyzing and solving inverse modeling problems of transport and transformation of atmospheric pollutants

    Penenko, A., Gochakov, A. & Penenko, V., 22 Dec 2020, In: IOP Conference Series: Earth and Environmental Science. 611, 1, 012032.

    Research output: Contribution to journal › Conference article › peer-review

  5. Air pollution modelling in urban environment based on a priori and reconstructed data

    Gochakov, A. V., Penenko, A. V., Antokhin, P. N. & Kolker, A. B., 17 Dec 2018, In: IOP Conference Series: Earth and Environmental Science. 211, 1, 012050.

    Research output: Contribution to journal › Conference article › peer-review

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