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A Survey of Model Reduction Methods for Large-Scale Systems

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Structured Matrices in Mathematics, Computer Science, and Engineering I, том 280 из Contemporary Mathematics, стр. 193--219. Providence, Rhode Island, American Mathematical Society, (2001)
DOI: 10.1090/conm/280/04630

Аннотация

An overview of model reduction methods and a comparison of the resulting algorithms is presented. These approaches are divided into two broad categories, namely SVD based and moment matching based methods. It turns out that the approximation error in the former case behaves better globally in frequency while in the latter case the local behavior is better.

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