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Cеминар «Проблемы дистанционного зондирования Земли из космоса» 23.12.2021 в 11:00 (мск)

Очередное заседание Всероссийского семинара «Проблемы дистанционного зондирования Земли из космоса» состоится  23.12.2021 в 11:00 (по Москве)

Докладчик: Успенский Александр Борисович, д.ф.-м.н., профессор, г. н. с. ФГБУ "НИЦ "Планета"

Тема доклада: "Измерения полей концентрации парниковых газов в атмосфере со спутников"

Maximum cross section method in the filtering problem for continuous systems with Markovian switching

1. Tatyana A. Averina and Konstantin A. Rybakov. Maximum cross section method in the filtering problem for continuous systems with Markovian switching // Russ. J. Numer. Anal. Math. Modelling, Vol.36, No 3, 2021, pp. 127-137. Tatyana A. Averina, Novosibirsk State University, Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch of the RAS, Novosibirsk 630090, Russia. E-email: ata@osmf.sscc.ru Konstantin A.

Theoretical studies of the cockpit systems thermophysical parameters using stochastic differential equations

Gusev S. A., Nikolaev V.N. Theoretical studies of the cockpit systems thermophysical parameters using stochastic differential equations // AIP Conference Proceedings. - 2021. - Vol. 2351 : International conference on the methods of aerophysical research (ICMAR 2020), Novosibirsk, 1–7 Nov. 2020. – Art. 0052868 (10 p.). - DOI: 10.1063/5.0052868. Аффиляции: S. A. Gusev1, 2, a) and V. N. Nikolaev3, b) 1)Institute of Computational Mathematics and Mathematical Geophysics SB RAS, Ac. Lavrentieva ave. 6 Novosibirsk 630090 Russia. 2)Novosibirsk State Technical University, Prospekt K.

Numerical and statistical simulation technique for the aircraft wing thermal state in icing conditions

Gusev S. A., Nikolaev V.N. Numerical and statistical simulation technique for the aircraft wing thermal state in icing conditions // AIP Conference Proceedings. - 2021. - Vol. 2351 : International conference on the methods of aerophysical research (ICMAR 2020), Novosibirsk, 1–7 Nov. 2020. – Art. 030049 (8 p.). - DOI: 10.1063/5.0052867. Аффиляции: S. A. Gusev1, 2, a) and V. N. Nikolaev3, b) 1)Institute of Computational Mathematics and Mathematical Geophysics SB RAS, Ac. Lavrentieva ave. 6 Novosibirsk 630090 Russia. 2)Novosibirsk State Technical University, Prospekt K.

Double randomization method for estimating the moments of solution to the coagulation equation

A.V. Burmistrov1,2, M.A. Korotchenko1. Double randomization method for estimating the moments of solution to the coagulation equation // Марчуковские научные чтения-2021: Тезисы Междунар. конф., 4–8 октября 2021 г. / ИВМиМГ СО РАН. С.68-69. 1Institute of Computational Mathematics and Mathematical Geophysics SB RAS 2Novosibirsk State University - DOI: 10.24412/cl-35065-2021-1-00-72 - РИНЦ - ссылки в статье на проект 0315-2019-0002 госзадания ИВМиМГ СО РАН

Algorithm for Solving the Inverse Problem of Catalytic Reforming of Gasoline

Smirnov D (Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch RAS), Koledina K (Ufa Branch of the Russian Academy of Sciences, Institute of Petrochemistry and Catalysis, Ufa State Petroleum Technological University), Gubaydullin I (Ufa Branch of the Russian Academy of Sciences, Institute of Petrochemistry and Catalysis, Ufa State Petroleum Technological University) Parallel Genetic Algorithm for Solving the Inverse Problem of Catalytic Reforming of Gasoline // Параллельные вычислительные технологии – XV международная конференция, ПаВТ'2021, г.

Numerical-statistical study of the prognostic efficiency of the SEIR model

G. Z. Lotova (Institute of Computational Mathematics and Mathematical Geophysics SB RAS, Novosibirsk State University), V. L. Lukinov (Institute of Computational Mathematics and Mathematical Geophysics SB RAS, Novosibirsk State University), M. A. Marchenko (Institute of Computational Mathematics and Mathematical Geophysics SB RAS, Novosibirsk State University), G.A. Mikhailov (Institute of Computational Mathematics and Mathematical Geophysics SB RAS, Novosibirsk State University), and D. D.

A global random walk on grid algorithm for second order elliptic equations

Karl K. Sabelfeld (Institute of Computational Mathematics and Mathematical Geophysics, Russian Academy of Sciences, Novosibirsk State University) and Dmitrii Smirnov (Institute of Computational Mathematics and Mathematical Geophysics, Russian Academy of Sciences) A global random walk on grid algorithm for second order elliptic equations // Monte Carlo Methods & Applications . Sep2021, Vol. 27 Issue 3, p211-225. 15p. Q3, https://www.degruyter.com/document/doi/10.1515/mcma-2021-2092/html Scopus.

Параллельный алгоритм численного метода моделирования массопереноса в трещиновато-поровом коллекторе на суперкомпьютере

.Д. Смирнов (Институт вычислительной математики и математической геофизики СО РАН), Ю.О. Бобренёва (Уфимский государственный нефтяной технический университет), А.А. Мазитов (Уфимский федеральный исследовательский центр РАН), М.А. Марченко (Институт вычислительной математики и математической геофизики СО РАН), И.М.

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