Presented in this paper are two kinds of approximate computation methods of the matrix maximum eigenvalue.
本文重点给出了两种矩阵最大特征值的近似计算方法。
The synchronization time in coupled N neurons (see chapter 4)The synchronization time of N linear SDE is determined by the second maximum eigenvalue of interaction matrix.
个耦合神经元的同步时间（见第三章）本节的结论是N维线性随机动力系统的同步时间由相互作用矩阵的第二大特征值决定。
The results showed that the maximum eigenvalue contributes nearly 85 % by choosing appropriate parameters, avoiding the different array as a result of many principal composition.
结果表明，通过对核参数的适当选取，可使最大特征值的贡献率达到或接近85 %，避免了多个主成分的不同组合而导致的评价结果的不一致。
The method defines the ratio of maximum energy band spectrum to total power spectrum as an eigenvalue of SEMG, which decreases the individual difference effect to the lowest.
该方法的主要特点是以实时取得的SEMG功率谱信号为基础，确定最大功率谱附近的谱能量与全信号段谱能量之比为特征值，将人的个体差异影响降低到最低程度。
Methods the upper-lower solutions, monotone derivative methods, the maximum principle, comparison principle and principal eigenvalue theory were used.
方法采用上下解的方法、单调迭代法、比较原理、极值原理以及特征值理论进行了研究。
Based on the consistent mode imperfection method, the initial defect model was determined by the least order mode of eigenvalue buckling, and the maximum displacement value.
初始缺陷的模型是根据一致缺陷模态法，按最小特征值屈曲模态分布，并控制其最大值的方法确定。
Based on the consistent mode imperfection method, the initial defect model was determined by the least order mode of eigenvalue buckling, and the maximum displacement value.
初始缺陷的模型是根据一致缺陷模态法，按最小特征值屈曲模态分布，并控制其最大值的方法确定。
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