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Krylov subspace method based on data preprocessing technology

✍ Scribed by BIN, T; XUEGANG, W; CHAOSHEN, Z; KESONG, C


Book ID
122226878
Publisher
Elsevier Science
Year
2008
Weight
247 KB
Volume
19
Category
Article
ISSN
1004-4132

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## Abstract Many different techniques to reduce the dimensions of a model have been proposed in the near past. Krylov subspace methods are relatively cheap, but generate non‐optimal models. In this paper a combination of Krylov subspace methods and orthonormal vector fitting (OVF) is proposed. In t