1. 2019
  2. Numerical study of an algorithm for air pollution sources identification with in situ and remote sensing measurement data

    Penenko, A. V., Gochakov, A. V. & Antokhin, P. N., 18 Dec 2019, 25th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. Matvienko, G. G. & Romanovskii, O. A. (eds.). The International Society for Optical Engineering, 6 p. 112085B. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11208).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  3. 2020
  4. Numerical study of emission sources identification algorithm with joint use of in situ and remote sensing measurement data

    Penenko, A. V., Gochakov, A. V. & Antokhin, P. N., 2020, 26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics. Matvienko, G. G. & Romanovskii, O. A. (eds.). The International Society for Optical Engineering, 115607I. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11560).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  5. Source Identification for the Smoluchowski Equation Using an Ensemble of Adjoint Equation Solutions

    Penenko, A. V. & Salimova, A. B., 1 Jun 2020, In: Numerical Analysis and Applications. 13, 2, p. 152-164 13 p.

    Research output: Contribution to journalArticlepeer-review

  6. 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 journalConference articlepeer-review

  7. 2021
  8. Numerical Comparison of the Adjoint Problem-based and Derivative-free Algorithms on the Coefficient Identification Problem for a Production-Loss Model

    Penenko, A., Konopleva, V. & Bobrovskikh, A., 2021, Proceedings - 2021 17th International Asian School-Seminar "Optimization Problems of Complex Systems", OPCS 2021. Institute of Electrical and Electronics Engineers Inc., p. 78-83 6 p. (Proceedings - 2021 17th International Asian School-Seminar "Optimization Problems of Complex Systems", OPCS 2021).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  9. Uncertainty-function-based continuation framework in data assimilation algorithms for atmospheric chemistry models

    Penenko, A. V., Konopleva, V. S., Golenko, P. M. & Penenko, V. V., 2021, 27th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics. Matvienko, G. G. & Romanovskii, O. A. (eds.). The International Society for Optical Engineering, 119168O. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11916).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  10. International conference «Marchuk scientific readings 2020» (MSR-2020), dedicated to the 95th anniversary of the birthday of Academician Guri I. Marchuk

    Mikhailov, G. A., Kabanikhin, S. I., Laevskii, Y. M., Penenko, V. V., Glinsky, B. M. & Penenko, A. V., 4 Jan 2021, In: Journal of Physics: Conference Series. 1715, 1, 011001.

    Research output: Contribution to journalEditorialpeer-review

  11. Parallel speedup analysis of an adjoint ensemble-based source identification algorithm

    Penenko, A. & Gochakov, A., 4 Jan 2021, In: Journal of Physics: Conference Series. 1715, 1, 012072.

    Research output: Contribution to journalConference articlepeer-review

  12. Numerical study of the coefficient identification algorithm based on ensembles of adjoint problem solutions for a production-destruction model

    Penenko, A. V., Mukatova, Z. S. & Salimova, A. B., 1 Aug 2021, In: International Journal of Nonlinear Sciences and Numerical Simulation. 22, 5, p. 581-592 12 p.

    Research output: Contribution to journalArticlepeer-review

  13. Sensitivity operator framework for analyzing heterogeneous air quality monitoring systems

    Penenko, A., Penenko, V., Tsvetova, E., Gochakov, A., Pyanova, E. & Konopleva, V., Dec 2021, In: Atmosphere. 12, 12, 1697.

    Research output: Contribution to journalArticlepeer-review

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