2022
DOI: 10.1080/09720502.2022.2133224
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Comparative study on techniques of model order reduction using rational Krylov subspace method

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Cited by 3 publications
(1 citation statement)
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“…ROM should not lose both the SOSS structure and physical exposition of (1), but a converse suggestion was found in previously suggested techniques for SOSSs [5,6]. Afterwards, contrivances like modified Arnoldi, second order balanced truncation (SOBT) and moment matching (based on Krylov‐subspaces) [3,5,7–13] etc. retain second order structure in ROM.…”
Section: Introductionmentioning
confidence: 89%
“…ROM should not lose both the SOSS structure and physical exposition of (1), but a converse suggestion was found in previously suggested techniques for SOSSs [5,6]. Afterwards, contrivances like modified Arnoldi, second order balanced truncation (SOBT) and moment matching (based on Krylov‐subspaces) [3,5,7–13] etc. retain second order structure in ROM.…”
Section: Introductionmentioning
confidence: 89%