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Publications in Math-Net.Ru |
Citations |
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2020 |
| 1. |
A. V. Penenko, A. B. Salimova, “Source indentification for the Smoluchowski equation
using an ensemble of the adjoint equation solutions”, Sib. Zh. Vychisl. Mat., 23:2 (2020), 183–199  ; Num. Anal. Appl., 13:2 (2020), 152–164  |
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2019 |
| 2. |
A. V. Penenko, Z. T. Khassenova, V. V. Penenko, E. A. Pyanova, “Numerical study of a direct variational data assimilation algorithm in Almaty city conditions”, Eurasian Journal of Mathematical and Computer Applications, 7:1 (2019), 53–64  |
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| 3. |
V. V. Penenko, A. V. Penenko, E. A. Tsvetova, A. V. Gochakov, “Methods for studying the sensitivity of atmospheric quality models and inverse problems of geophysical hydrothermodynamics”, Prikl. Mekh. Tekh. Fiz., 60:2 (2019), 238–246  ; J. Appl. Mech. Tech. Phys., 60:2 (2019), 392–399 |
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| 4. |
A. V. Penenko, “The Newton–Kantorovich method in inverse source problems for production-destruction models with time series-type measurement data”, Sib. Zh. Vychisl. Mat., 22:1 (2019), 57–79 ; Num. Anal. Appl., 12:1 (2019), 51–69 |
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2018 |
| 5. |
A. V. Penenko, “Consistent numerical schemes for solving nonlinear inverse source problems with the gradient-type algorithms and the Newton–Kantorovich methods”, Sib. Zh. Vychisl. Mat., 21:1 (2018), 99–116 ; Num. Anal. Appl., 11:1 (2018), 73–88 |
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2017 |
| 6. |
V. V. Penenko, A. V. Penenko, E. A. Tsvetova, “Variational approach to the study of processes of geophysical hydrothermodynamics with assimilation of detailed observation data”, Prikl. Mekh. Tekh. Fiz., 58:5 (2017), 17–25 ; J. Appl. Mech. Tech. Phys., 58:5 (2017), 771–778 |
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2016 |
| 7. |
A. V. Penenko, S. N. Nikolaev, S. Golushko, A. V. Romashenko, I. A. Kirilova, “Numerical algorithms for diffusion coefficient identification in problems of tissue engineering”, Mat. Biolog. Bioinform., 11:2 (2016), 426–444 |
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| 8. |
A. V. Penenko, V. V. Penenko, E. A. Tsvetova, “Sequential data assimilation algorithms in air quality monitoring models based on weak-constraint variational principle”, Sib. Zh. Vychisl. Mat., 19:4 (2016), 401–418  ; Num. Anal. Appl., 9:4 (2016), 312–325 |
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2014 |
| 9. |
A. V. Penenko, T. S. Troeglazova, U. S. Zubairova, D. Zh. Bayshibaev, S. N. Nikolaev, “Usage of Parallel Algorithms Based on CUDA Technology for Realisation of Reaction-Diffusion Models of Two-Dimensional Cellular Ensemble”, Mat. Biolog. Bioinform., 9:2 (2014), 491–503 |
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2013 |
| 10. |
A. V. Penenko, S. G. Rachmetullina, “Algorithms for atmospheric emission source localization based on the automated ecological monitoring system data”, Sib. Èlektron. Mat. Izv., 10 (2013), 35–54 |
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| 11. |
V. G. Glavny, A. V. Penenko, S. V. Dvoynishnikov, “On a statistical estimate of the operator error in linear equation system arising in the calibration problem for laser thickness measurements of hot metal sheet”, Sib. Èlektron. Mat. Izv., 10 (2013), 16–27 |
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2012 |
| 12. |
A. V. Penenko, “Discrete-analytic schemes for solving an inverse coefficient heatconduction problem in a layered medium with gradient methods”, Sib. Zh. Vychisl. Mat., 15:4 (2012), 393–408 ; Num. Anal. Appl., 5:4 (2012), 326–341 |
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2010 |
| 13. |
A. V. Penenko, “On solution of the inverse coefficient heatconduction problem with a gradient projection method”, Sib. Èlektron. Mat. Izv., 7 (2010), 178–198 |
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2008 |
| 14. |
S. I. Kabanikhin, A. Kh. Khasanov, A. V. Penenko, “The gradient-based method for solving the inverse coefficient heat-conduction problem”, Sib. Zh. Vychisl. Mat., 11:1 (2008), 41–51 ; Num. Anal. Appl., 1:1 (2008), 34–45 |
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