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- Francis QR method is efficient way to calculate the complex eigenvalue of matrix. 雙步QR法是求解一般矩陣特征值問(wèn)題的有效方法,但在實(shí)際應用過(guò)程中存在一些不足。
- On these grounds, the sensitivity of semisimple multiple eigenvalues of generalized eigenvalue problems is defined, and the sensitive elements of matrix pairs can be determined. 以所得結論為基礎，定義了廣義特征值問(wèn)題半單重特征值的靈敏度，給出了確定矩陣對中敏感元素的方法。
- A NEW CONTAINED REGION FOR EIGENVALUE OF MATRIX 矩陣特征值新的包含域
- On the Eigenvalue of Two Kinds of Matrix 關(guān)于兩類(lèi)矩陣的特征值
- A CLASS DOMAIN of NEW EXISTENCE THEOREM FOR EIGENVALUE OF MATRIX 矩陣特征值的一類(lèi)新的存在性區域
- In this paper, using the property of trace of matrix and the method of generating function, we obtain all the eigenvalues of a matrix which appears iii stability analysis. 摘要利用矩陣的跡的性質(zhì)和發(fā)生函數方法，給出了穩定性分析中一個(gè)矩陣的所有特征值。
- Minimax Value of Generalized Eigenvalue of Matrixes 矩陣廣義特征值的極值
- Kurtosis is an eigenvalue of normal distribution of the image. 峰度是一個(gè)能表征圖像是否呈正態(tài)分布的特征值。
- The article firstly work out the eigenvalues of the matrix,then we decide the jordan block number of each eigenvalues and the progression of each Jordan block,this produces another method to work out matrix Jordan canonical form of matrix. 文章通過(guò)先求矩陣的特征值;然后確定屬于每一個(gè)特征值的若當塊的個(gè)數和每一個(gè)若當塊的級數來(lái)給出矩陣若當標準形的另一種求法.
- The eigenvalues of matrices are an important conception in matrix theory,but computing the precise eigenvalues of a matrix is very difficult. 矩陣的特征值是矩陣理論的一個(gè)重要概念,然而,求一個(gè)矩陣(哪怕是階數很低的矩陣)的特征值的精確值,卻是非常困難的。
- Advance on Study of Matrix Attachment Region. 核基質(zhì)結合區的研究進(jìn)展。
- Approximate computation on the maximum eigenvalue of matrixs 矩陣最大特征值的近似求法
- The Quality for Rand and Index of Matrix Power. 矩陣乘冪的秩及其指標的性質(zhì)。
- We introduced the concept of block directed edge cover diagonal quasi dominant matrix,obtained a new nonsingularity criteria for matrices and distribution theorem on eigenvalues of matrix. 引進(jìn)了擬塊有向邊覆蓋對角占優(yōu)矩陣概念;給出了新的矩陣非奇異判定定理和特征值分布定理.
- Skewness is an eigenvalue of symmetric distribution of the image. 偏斜度是一個(gè)能表征圖像是否對稱(chēng)分布的特征量。
- Similarly, the order of matrix multiplication is important. 同樣,矩陣相乘的順序也是重要的。
- It is found that the synchronization time of N linear SDE is determined by the second maximum eigenvalue of interaction matrix. 首先得到了N維線(xiàn)性隨機動(dòng)力系統的同步時(shí)間由其相互作用矩陣的第二大特征值決定。
- The following illustration shows two examples of matrix addition. 下圖顯示了兩個(gè)矩陣相加的示例。
- Getting optimized eigenvalue of det[sI-(A-BK)] = 0 is the target of pole placement by selecting state feedback matrix K. 極點(diǎn)配置就是選擇狀態(tài)反饋矩陣K，使系統的本征多項式det[sI-(A-BK)]=0的本征值處于最適宜的數值上，即獲得最優(yōu)的根配置。
- The structural performances are evaluated from the condition number (CN) of equilibrium matrix, and CN and minimum eigenvalue of stiffness matrix. 根據平衡矩陣的條件數和剛度矩陣的條件數與最小特征值，評價(jià)基本單元的結構特征。
