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• W1966104103 abstract "Three algorithms for the model reduction of large-scale, continuous-time, time-invariant, linear, dynamical systems with a sparse or structured transition matrix and a small number of inputs and outputs are described. They rely on low rank approximations to the controllability and observability Gramians, which can efficiently be computed by ADI based iterative low rank methods. The first two model reduction methods are closely related to the well-known square root method and Schur method, which are balanced truncation techniques. The third method is a heuristic, balancing-free technique. The performance of the model reduction algorithms is studied in numerical experiments." @default.
• W1966104103 created "2016-06-24" @default.
• W1966104103 creator A5037114854 @default.
• W1966104103 date "2006-06-01" @default.
• W1966104103 modified "2023-10-14" @default.
• W1966104103 title "Algorithms for model reduction of large dynamical systems" @default.
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• W1966104103 doi "https://doi.org/10.1016/j.laa.2006.01.007" @default.
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