A Survey of Model Reduction Methods for Large-Scale Systems

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dc.contributor.authorAntoulas, A.C.en_US
dc.contributor.authorSorensen, D.C.en_US
dc.contributor.authorGugercin, S.en_US
dc.date.accessioned2018-06-18T17:48:15Zen_US
dc.date.available2018-06-18T17:48:15Zen_US
dc.date.issued2000-12en_US
dc.date.noteDecember 2000en_US
dc.description.abstractAn overview of model reduction methods and a comparison of the resulting algorithms are 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.en_US
dc.format.extent28 ppen_US
dc.identifier.citationAntoulas, A.C., Sorensen, D.C. and Gugercin, S.. "A Survey of Model Reduction Methods for Large-Scale Systems." (2000) <a href="https://hdl.handle.net/1911/101963">https://hdl.handle.net/1911/101963</a>.en_US
dc.identifier.digitalTR00-38en_US
dc.identifier.urihttps://hdl.handle.net/1911/101963en_US
dc.language.isoengen_US
dc.titleA Survey of Model Reduction Methods for Large-Scale Systemsen_US
dc.typeTechnical reporten_US
dc.type.dcmiTexten_US
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