1. Inverse Problems of Natural Science

    Kabanikhin, S. I., 1 Jun 2020, In: Computational Mathematics and Mathematical Physics. 60, 6, p. 911-914 4 p.

    Research output: Contribution to journalArticlepeer-review

  2. Inversion in P-Computable Fields

    Alaev, P., 2024, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer, p. 100-109 10 p. 9. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14773 LNCS).

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

  3. Inversion of generalized Radon transforms acting on 3D vector and symmetric tensor fields

    Svetov, I. E. & Polyakova, A. P., Jan 2024, In: Inverse Problems. 40, 1, 015009.

    Research output: Contribution to journalArticlepeer-review

  4. Inverting Cryptographic Hash Functions via Cube-and-Conquer

    Zaikin, O., 2024, In: Journal of Artificial Intelligence Research. 81, p. 359-399 41 p., 10.

    Research output: Contribution to journalArticlepeer-review

  5. Investigation of the formation processes of CO2 hydrate films on the interface of liquid carbon dioxide with humic acids solutions

    Sagidullin, A. K., Skiba, S. S., Adamova, T. P. & Manakov, A. Y., Mar 2025, In: Chinese Journal of Chemical Engineering. 79, p. 53-61 9 p.

    Research output: Contribution to journalArticlepeer-review

  6. Laboratory information systems for research management in biology

    Mukhin, A. M., Kazantsev, F. V. & Lashin, S. A., Dec 2023, In: Vavilovskii Zhurnal Genetiki i Selektsii. 27, 7, p. 898-905 8 p.

    Research output: Contribution to journalArticlepeer-review

  7. Large deviation principle for multidimensional first compound renewal processes in the phase space

    Mogulskii, A. A. & Prokopenko, E. I., 1 Nov 2019, In: Сибирские электронные математические известия. 16, p. 1464-1477 14 p., 101.

    Research output: Contribution to journalArticlepeer-review

  8. Large deviation principle for multidimensional second compound renewal processes in the phase space

    Mogulskii, A. A. & Prokopenko, E. I., 1 Nov 2019, In: Сибирские электронные математические известия. 16, p. 1478-1492 15 p.

    Research output: Contribution to journalArticlepeer-review

  9. Large Deviation Principle for Terminating Multidimensional Compound Renewal Processes with Application to Polymer Pinning Models

    Logachov, A. V., Mogulskii, A. A. & Prokopenko, E. I., Apr 2022, In: Problems of Information Transmission. 58, 2, p. 144-159 16 p.

    Research output: Contribution to journalArticlepeer-review

  10. Large Deviation Principles for the Processes Admitting Embedded Compound Renewal Processes

    Logachov, A. V. & Mogulskii, A. A., Jan 2022, In: Siberian Mathematical Journal. 63, 1, p. 119-137 19 p.

    Research output: Contribution to journalArticlepeer-review

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