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• W2148489886 abstract "Physical structures and processes are modeled by dynamical systems in many application areas, such as the design of very large-scale integration chips or large power systems. Since these dynamical systems can become very large, the essential simulation before production may consume hours or days of computing time. Hence there is need for efficient approaches that limit the computing time while preserving the accuracy. In this paper it will be shown how specialized eigen value methods and model order reduction techniques can be used to perform fast and accurate simulations of large dynamical systems. Results will be illustrated by numerical experiments with realistic examples." @default.
• W2148489886 created "2016-06-24" @default.
• W2148489886 creator A5019708682 @default.
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• W2148489886 date "2008-07-01" @default.
• W2148489886 modified "2023-09-24" @default.
• W2148489886 title "Specialized Eigenvalue Methods for Large-Scale Model Order Reduction Problems" @default.
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• W2148489886 doi "https://doi.org/10.1109/cse.2008.29" @default.
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