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Study on adjoint-based optimization method for multi-stage turbomachinery

✍ Scribed by Weiwei Li; Yong Tian; Weilin Yi; Lucheng Ji; Weiwei Shao; Yunhan Xiao

Book ID
107432958
Publisher
Springer-Verlag
Year
2011
Tongue
English
Weight
554 KB
Volume
20
Category
Article
ISSN
1003-2169

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## Abstract A new adjoint‐based method to find the optimal deployment of targeted observations, called Kalman Filter Sensitivity (KFS), is introduced. The major advantage of this adjoint‐based method is that it allows direct computation of the reduction of the forecast‐score error variance that wou