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• W1600732329 abstract "Abstract The sequentially truncated higher‐order singular value decomposition (ST‐HOSVD) is applied to a tensor product (TP) model transformation instead of the compact form of HOSVD (CHOSVD). The goal is to reduce computational cost in the transformation. By using the ST‐HOSVD, the TP model transformations of systems and the related algorithms are executed and the ST‐HOSVD based canonical form and the weighting functions are given. To see the effectiveness, we take a dynamic system and TORA system as numerical examples. A great reduction of complexity is seen in use of the ST‐HOSVD compared with use of the CHOSVD in TP model transformation. The approximation of the new method seems as good as the original one." @default.
• W1600732329 created "2016-06-24" @default.
• W1600732329 creator A5010567079 @default.
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• W1600732329 date "2014-11-11" @default.
• W1600732329 modified "2023-09-25" @default.
• W1600732329 title "TP Model Transformation Via Sequentially Truncated Higher-Order Singular Value Decomposition" @default.
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• W1600732329 doi "https://doi.org/10.1002/asjc.1043" @default.
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