A simple method for solving matrix eigenvalue and eigenvector 求矩陣的特征值與特征向量的一種簡捷方法
Distribution of matrix eigenvalue and its application in numerical analysis 矩陣特征值的分布及其在數(shù)值分析中的應(yīng)用
The third part ( the 6th and 7th chapters ) is for a practical application , in which hollow laser beams have been analyzed and designed in terms of the matrix eigenvalue method 第三部分(第六、七章)根據(jù)矩陣本征值方法分析和設(shè)計空心激光光束。
Analysing the texture of wear surface image through fourier frequency spectrum and grey matrix eigenvalue , image texture has respective character because of affection of different wear methanism 通過傅立葉頻譜和灰度共生矩陣特征量的提取對圖像進(jìn)行紋理分析,由于不同磨損機制的作用,圖像紋理具有不同的特性。
With this understanding , the advancing analysis method of the steady - state voltage stability integrated the continuation power flow analysis , the system jacobi matrix eigenvalue structure analysis and the correlative sensitivity analysis , provided the comprehensive and veracious informations about the steady - state voltage stability of power system under the future operating state , these informations - included the margin of stability , the weak buses , the crucial branch and the crucial generator 提出了將連續(xù)潮流算法與系統(tǒng)jacobi矩陣特征結(jié)構(gòu)分解法以及相關(guān)的靈敏度方法相結(jié)合的靜態(tài)電壓穩(wěn)定預(yù)測分析方法,這種方法可以提供關(guān)于系統(tǒng)在未來運行狀態(tài)下的靜態(tài)穩(wěn)定性信息:系統(tǒng)穩(wěn)定裕度、系統(tǒng)中的薄弱區(qū)域、關(guān)鍵支路與關(guān)鍵發(fā)電機。