Projection Methods for Balanced Model Reduction

dc.contributor.authorSorensen, D.C.en_US
dc.contributor.authorAntoulas, A.C.en_US
dc.date.accessioned2018-06-18T17:48:42Zen_US
dc.date.available2018-06-18T17:48:42Zen_US
dc.date.issued2001-03en_US
dc.date.noteMarch 2001en_US
dc.description.abstractThe purpose of this paper is to investigate projection methods for the iterative computation of partially balanced reduced order systems. This approach is both completely automatic once an error tolerance is specified and yields an error bound. This is to be contrasted with existing projection methods, namely PVL (Padé via Lanczos) and rational Krylov, which do not satisfy these properties. Our approach is based on the computation and appoximation of certain system grammians and in particular on the cross grammian.en_US
dc.format.extent18 ppen_US
dc.identifier.citationSorensen, D.C. and Antoulas, A.C.. "Projection Methods for Balanced Model Reduction." (2001) <a href="https://hdl.handle.net/1911/101966">https://hdl.handle.net/1911/101966</a>.en_US
dc.identifier.digitalTR01-03en_US
dc.identifier.urihttps://hdl.handle.net/1911/101966en_US
dc.language.isoengen_US
dc.titleProjection Methods for Balanced Model Reductionen_US
dc.typeTechnical reporten_US
dc.type.dcmiTexten_US
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