1. Quantity of the inverse problem data for the system of conservation laws

    Klyuchinskiy, D. V., Novikov, N. S. & Shishlenin, M. A., 20 Dec 2021, In: Journal of Physics: Conference Series. 2092, 1, 012020.

    Research output: Contribution to journalConference articlepeer-review

  2. Recovering a Time-Dependent Diffusion Coefficient from Nonlocal Data

    Kabanikhin, S. I. & Shishlenin, M. A., 1 Jan 2018, In: Numerical Analysis and Applications. 11, 1, p. 38-44 7 p.

    Research output: Contribution to journalArticlepeer-review

  3. Regularization of backward parabolic equations in Banach spaces by generalized Sobolev equations

    Duc, N. V., Hào, D. N. & Shishlenin, M., 1 Feb 2024, In: Journal of Inverse and Ill-Posed Problems. 32, 1, p. 9-20 12 p.

    Research output: Contribution to journalArticlepeer-review

  4. Scale dependency of pore space topology and transport properties of sandstone CT-scans

    Bazaikin, Y., Gurevich, B., Khachkova, T., Kolyukhin, D., Lebedev, M., Lisitsa, V., Reshetova, G. & Tcheverda, V., Oct 2016, In: SEG Technical Program Expanded Abstracts. 35, p. 3148-3153 6 p.

    Research output: Contribution to journalConference articlepeer-review

  5. Seismic attenuation mechanisms in fractured fluid saturated media - Numerical and field examples

    Caspari, E., Barbosa, N. D., Novikov, M., Lisitsa, V., Hunziker, J., Quintal, B., Rubino, G. & Holliger, K., 3 Jun 2019, 81st EAGE Conference and Exhibition 2019 Workshop Programme. EAGE Publishing BV, Vol. 2019. p. 1-5 5 p. (81st EAGE Conference and Exhibition 2019 Workshop Programme).

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

  6. Sensitivity analysis and practical identifiability of the mathematical model for partial differential equations

    Krivorotko, O. & Andornaya, D., 20 Dec 2021, In: Journal of Physics: Conference Series. 2092, 1, 012012.

    Research output: Contribution to journalConference articlepeer-review

  7. Sensitivity of the Arctic Ocean gas hydrate to climate changes in the period of 1948-2015

    Malakhova, V. V., Golubeva, E. N. & Iakshina, DI. F., 1 Jan 2017, 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. Matvienko, GG. & Romanovskii, OA. (eds.). The International Society for Optical Engineering, Vol. 10466. 10 p. 1046656. (Proceedings of SPIE; vol. 10466).

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

  8. Sensitivity Operator-Based Approach to the Interpretation of Heterogeneous Air Quality Monitoring Data

    Penenko, A., Penenko, V., Tsvetova, E., Gochakov, A., Pyanova, E. & Konopleva, V., 2022, Large-Scale Scientific Computing - 13th International Conference, LSSC 2021, Revised Selected Papers. Lirkov, I. & Margenov, S. (eds.). 1 ed. Springer, p. 164-171 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13127 LNCS).

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

  9. 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

  10. Sequential variational data assimilation algorithms at the splitting stages of a numerical atmospheric chemistry model

    Penenko, A., Penenko, V., Tsvetova, E., Grishina, A. & Antokhin, P., 1 Jan 2018, Large-Scale Scientific Computing - 11th International Conference, LSSC 2017, Revised Selected Papers. Lirkov & Margenov, S. (eds.). Springer, p. 536-543 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10665 LNCS).

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

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