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  1. 2020

  2. 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 journal › Article › peer-review

  3. 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.). SPIE, 115607I. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11560).

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

  4. 2019

  5. 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.). SPIE, 6 p. 112085B. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11208).

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

  6. Numerical analysis of an inverse coefficient problem for a chemical transformation model

    Penenko, A. V., Mukatova, Z. S. & Salimova, A. B., 10 Dec 2019, In: IOP Conference Series: Earth and Environmental Science. 386, 1, 012041.

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

  7. Numerical Solution of the Coefficient Inverse Problem for a Production-Destruction Model with Various Adjoint Ensemble Designs

    Penenko, A., Mukatova, Z. & Salimova, A., Aug 2019, 2019 15th International Asian School-Seminar Optimization Problems of Complex Systems, OPCS 2019. Institute of Electrical and Electronics Engineers Inc., p. 135-139 5 p. 8880222. (2019 15th International Asian School-Seminar Optimization Problems of Complex Systems, OPCS 2019).

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

  8. Scenario Approach for the Optimization of Regularization Parameters in the Direct Variational Data Assimilation Algorithm

    Penenko, A., Mukatova, Z. & Konopleva, V., Aug 2019, 2019 15th International Asian School-Seminar Optimization Problems of Complex Systems, OPCS 2019. Institute of Electrical and Electronics Engineers Inc., p. 131-134 4 p. 8880181. (2019 15th International Asian School-Seminar Optimization Problems of Complex Systems, OPCS 2019).

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

  9. Methods for Studying the Sensitivity of Air Quality Models and Inverse Problems of Geophysical Hydrothermodynamics

    Penenko, V. V., Penenko, A. V., Tsvetova, E. A. & Gochakov, A. V., 1 Mar 2019, In: Journal of Applied Mechanics and Technical Physics. 60, 2, p. 392-399 8 p.

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

  10. Numerical algorithm for morphogen synthesis region identification with indirect image-type measurement data

    Penenko, A., Zubairova, U., Mukatova, Z. & Nikolaev, S., 1 Feb 2019, In: Journal of Bioinformatics and Computational Biology. 17, 1, p. 1940002 18 p., 1940002.

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

  11. 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

  12. Consistent Discrete-Analytical Schemes for the Solution of the Inverse Source Problems for Atmospheric Chemistry Models with Image-Type Measurement Data

    Penenko, A., Penenko, V., Tsvetova, E. & Mukatova, Z., 1 Jan 2019, Finite Difference Methods. Theory and Applications - 7th International Conference, FDM 2018, Revised Selected Papers. Faragó, I., Dimov, I. & Vulkov, L. (eds.). Springer-Verlag GmbH and Co. KG, p. 378-386 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11386 LNCS).

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

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