Труды сотрудников ИВМ СО РАН

/ L. B. Chubarov, Yu. I. Shokin, V. K. Gusiakov // Computers and Fluids. - 1984. - Vol. 12, Is. 2. - P123-132 . - ISSN 0045-7930
Аннотация: The paper presents the results of numerical simulation of Shikotan (Nemuro-Oki) tsunami of 17 June 1973. Static deformations of the sea bottom are computed for some dimensional dislocation model of the seismic source with the parameters obtained from seismological observations. The computed bottom deformations are used as the initial conditions for the tsunami propagation problem in the ocean with a real bathymetry, which is considered within the framework of linear theory of shallow water. Three variants of tsunami source are examined. Travel time charts and computed mareograms at a number of points of the shoreline are presented. At 4 points, where tide-gauge records are available, the comparison of the computed mareograms with the observed ones is made. It is found that the numerical model can reproduce the basic features of the tsunami of 17 June 1973. В© 1984.

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Держатели документа:
Computing Center of Siberian Division of the USSR Academy of Sciences, 660036 Krasnoyarsk, 36, Akademgorodok, U.S.S.R.
Siberian Division, the USSR Academy of Sciences, Computing Center, 630090 Novosibirsk, Russian Federation
ИВМ СО РАН

Доп.точки доступа:
Chubarov, L.B.; Shokin, Yu.I.; Шокин, Юрий Иванович; Gusiakov, V.K.

/ S. P. Tsarev, M. G. Sadovsky // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). - 2016. - Vol. 9702: 3rd International Conference on Algorithms for Computational Biology, AlCoB 2016; Trujillo; Spain; 21 June 2016 through 22 June 2016; Code 177079. - P171-182, DOI 10.1007/978-3-319-38827-4_14 . -
Аннотация: A new method to identify all sufficiently long repeating nucleotide substrings in one or several DNA sequences is proposed. The method based on a specific gauge applied to DNA sequences that guarantees identification of the repeating substrings. The method allows the matching substrings to contain a given level of errors. The gauge is based on the development of a heavily sparse dictionary of repeats, thus drastically accelerating the search procedure. Some biological applications illustrate the method. © Springer International Publishing Switzerland 2016.

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Держатели документа:
Siberian Federal University, Kirenskogo, 26, Krasnoyarsk, Russian Federation
Institute of Computational Modelling of SB RAS, Akademgorodok, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Tsarev, S. P.; Sadovsky, M. G.