Reduction of large-scale dynamical systems by the Krylov subspaces method: Analysis of approaches
Approaches and numerical algorithms for reducing the order of mathematical models of multidimensional dynamical systems that are based on the Krylov’s subspaces method are described. To calculate matrices representing the reduced models in the state space, Lanczos’ and Arnoldi’s methods are used. Pr...
|Published in:||Journal of computer and systems sciences international, Vol. 54, No. 2 (2015), p. 165-183|
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|Item Description:||Original Russian Text © N.E. Zubov, E.A. Mikrin, M.Sh. Misrikhanov, A.V. Proletarskii, V.N. Ryabchenko, 2015, published in Izvestiya Akademii Nauk. Teoriya i Sistemy Upravleniya, 2015, No. 2, pp. 3–21.|
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