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  1. Variable Neighborhood Search for the Resource Constrained Project Scheduling Problem

    Goncharov, E. N., 1 Jan 2019, Mathematical Optimization Theory and Operations Research - 18th International Conference, MOTOR 2019, Revised Selected Papers. Bykadorov, I., Strusevich, V. & Tchemisova, T. (eds.). Springer Gabler, p. 39-50 12 p. (Communications in Computer and Information Science; vol. 1090 CCIS).

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

  2. Variable neighborhood search variants for Min-power symmetric connectivity problem

    Erzin, A. I., Mladenovic, N. & Plotnikov, R. V., 1 Feb 2017, In: Computers and Operations Research. 78, p. 557-563 7 p.

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

  3. Variable slab-mantle interaction in a nascent Neoproterozoic arc-back-arc system generating boninitic-tholeiitic lavas and magnesian andesites

    Chen, M., Sun, M., Buslov, M. M., Cai, K., Jiang, Y., Kulikova, A. V., Zheng, J. & Xia, X., Sept 2018, In: Bulletin of the Geological Society of America. 130, 9-10, p. 1562-1582 21 p.

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

  4. Variable termination sites of DNA polymerases encountering a DNA–protein cross-link

    Yudkina, A. V., Dvornikova, A. P. & Zharkov, D. O., 1 Jun 2018, In: PLoS ONE. 13, 6, p. e0198480 17 p., 0198480.

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

  5. Variational approach to modeling soft and stiff interfaces in the Kirchhoff-Love theory of plates

    Furtsev, A. & Rudoy, E., 1 Oct 2020, In: International Journal of Solids and Structures. 202, p. 562-574 13 p.

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

  6. Variational data assimilation of airborne sensing profiles to the transport and transformation model of atmospheric chemistry

    Penenko, A., Antokhin, P. & Grishina, A., 1 Jan 2017, 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. Matvienko, GG. & Romanovskii, OA. (eds.). SPIE, Vol. 10466. 5 p. 1046674. (Proceedings of SPIE; vol. 10466).

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

  7. Variational field theory from the point of view of direct methods

    Sychev, M. A., 1 Sept 2017, In: Siberian Mathematical Journal. 58, 5, p. 891-898 8 p.

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

  8. Variational method of energy level calculation in pyramidal quantum dots

    Nenashev, A. V. & Dvurechenskii, A. V., 21 Apr 2020, In: Journal of Applied Physics. 127, 15, 8 p., 154301.

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

  9. Variational methods for predicting climate-environmental processes with assimilation of observational data

    Penenko, V. V., 1 Jan 2017, 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. Matvienko, GG. & Romanovskii, OA. (eds.). SPIE, Vol. 10466. 5 p. 104665Q. (Proceedings of SPIE; vol. 10466).

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

  10. Variational methods for targeted monitoring of atmospheric quality by specified cost criteria

    Penenko, V. V., 17 Dec 2018, In: IOP Conference Series: Earth and Environmental Science. 211, 1, 012048.

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

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