It shows that the presented method can be used to identify modal parameters effectively under ambient excitation and that the polynomial eigenvalue method is superior to the augmented matrix method.
结果表明,多参考点互相关差分模型能够有效地进行环境激励下的模态识别,并且多项式特征值法比增广矩阵法所得结果更好。
The superior boundary and below boundary of the real symmetry matrix eigenvalue is estimated based on secondary programming in this paper.
本文给出了实对称矩阵最大与最小特征值的一种估计方法及其应用。
The superior boundary and below boundary of the real symmetry matrix eigenvalue is estimated based on secondary programming in this paper.
本文给出了实对称矩阵最大与最小特征值的一种估计方法及其应用。
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