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General numerical methods
Stability indicators of nonnegative matrices: Parametric and sparse cases
V. N. Razzhevaikin Federal Research Center "Computer Science and Control" of Russian Academy of Sciences, 119333, Moscow, Russia
Abstract:
Methods for the algorithmic construction of stability indicators of nonnegative matrices is described, and the application of these indicators to problems of modern mathematical biology and epidemiology is discussed. Specific features of such indicators when they are applied to problems about the parametric loss of stability of trivial equilibrium states of discrete dynamical systems are pointed out. Estimates of the efficiency of algorithms based on the proposed methods for the case of systems determined by sparse matrices are given. Examples of using the constructed algorithms for such systems are discussed.
Key words:
nonnegative matrix, stability indicator, discrete dynamical system, parametric system, sparse matrix.
Received: 22.06.2022 Revised: 06.02.2023 Accepted: 30.03.2023
Citation:
V. N. Razzhevaikin, “Stability indicators of nonnegative matrices: Parametric and sparse cases”, Zh. Vychisl. Mat. Mat. Fiz., 63:7 (2023), 1061–1072; Comput. Math. Math. Phys., 63:7 (2023), 1155–1165
Linking options:
https://www.mathnet.ru/eng/zvmmf11579 https://www.mathnet.ru/eng/zvmmf/v63/i7/p1061
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Abstract page: | 39 |
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