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Selecting the most informative set of the deep-ocean tsunami sensors based on the r-solution method
Author(s) -
Т. А. Воронина,
V. V. Voronin
Publication year - 2022
Publication title -
vyčislitelʹnye metody i programmirovanie
Language(s) - English
Resource type - Journals
eISSN - 1726-3522
pISSN - 0507-5386
DOI - 10.26089/nummet.v23r314
Subject(s) - singular value decomposition , tsunami wave , regularization (linguistics) , inverse problem , inversion (geology) , waveform , computer science , obstacle , algorithm , set (abstract data type) , seismology , geology , inverse method , mathematics , geography , artificial intelligence , mathematical analysis , telecommunications , tectonics , radar , archaeology , programming language

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