1. 2019
  2. Методы тропической оптимизации в многокритериальных задачах оценки альтернатив на основе парных сравнений

    Кривулин, Н. К. & Агеев, В. А., Dec 2019, In: ВЕСТНИК САНКТ-ПЕТЕРБУРГСКОГО УНИВЕРСИТЕТА. ПРИКЛАДНАЯ МАТЕМАТИКА. ИНФОРМАТИКА. ПРОЦЕССЫ УПРАВЛЕНИЯ. 15, 4, p. 472-488

    Research output: Contribution to journalArticlepeer-review

  3. Решение двухкритериальной задачи оценки альтернатив с помощью тропической оптимизации

    Кривулин, Н. К. & Цобенко, М. А., Dec 2019, In: КОМПЬЮТЕРНЫЕ ИНСТРУМЕНТЫ В ОБРАЗОВАНИИ. 4, p. 15-32

    Research output: Contribution to journalArticlepeer-review

  4. CDSnake: Snakemake pipeline for retrieval of annotated OTUs from paired-end reads using CD-HIT utilities

    Kondratenko, Y., Korobeynikov, A. & Lapidus, A., 8 Nov 2019, In: BMC Bioinformatics. 20, Suppl 17, p. 516 P6.

    Research output: Contribution to journalMeeting Abstractpeer-review

  5. PathRacer: racing profile HMM paths on assembly graph

    Shlemov, A. & Korobeynikov, A., 8 Nov 2019, In: BMC Bioinformatics. 20, Suppl 17, 1 p., О10.

    Research output: Contribution to journalMeeting Abstractpeer-review

  6. Third international conference "Bioinformatics from Algorithms to Applications" (BiATA 2019)

    Korobeynikov, A. & Lapidus, A., 8 Nov 2019, In: BMC Bioinformatics. 20, Suppl 17, 1 p., 516.

    Research output: Contribution to journalMeeting Abstractpeer-review

  7. Genetic global optimization algorithms

    Ermakov, S. M. & Semenchikov, D. N., 7 Oct 2019, In: Communications in Statistics Part B: Simulation and Computation. 51, 4, p. 1503 - 1512 10 p.

    Research output: Contribution to journalArticlepeer-review

  8. Linear Generalized Kalman-Bucy Filters

    Tovstik, T. M. & Tovstik, P. E., Oct 2019, In: Vestnik St. Petersburg University: Mathematics. 52, 4, p. 401-408 8 p.

    Research output: Contribution to journalArticlepeer-review

  9. On Machine Learning In Regression Analysis

    Leora, S. N. & Ermakov, S. M., Sep 2019, 10th International Workshop on Simulation and Statistics: Workshop booklet. Salzburg: Universitat Salzburg, p. 52

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

  10. Random Search Method with a “Memory” for Global Extremum of a Function

    Vladimirova, L. V. & Ermakov, S. M., Sep 2019, 10th International Workshop on Simulation and Statistics: Workshop booklet. Salzburg: Universitat Salzburg, p. 89

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

  11. The Monte Carlo Method for a Solution of ODE System

    Tovstik, T. M. & Ermakov, S. M., Sep 2019, 10th International Workshop on Simulation and Statistics: Workshop booklet. Salzburg: Universitat Salzburg, p. 90

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

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