matrix eigenvalues 中文意思是什麼

matrix eigenvalues 解釋
矩陣特徵值
  • matrix : n （pl matrices 或matrixes）1 【解剖學】子宮；母體；發源地，策源地，搖籃；【生物學】襯質細胞；間...
  1. Compared with aitken extrapolation, eigenvalues - based algorithm bypass aitken transform and perform more effectively than aitken extrapolation algorithm theoretically in the process of iterating hyperlink - based markov matrix

    與aitkenextrapolation演算法相比，基於特徵值求解的演算法不藉助aitken變換，而通過特徵值直接求解馬爾可夫超鏈接矩陣的主特徵向量，從理論上比aitkenextrapolation演算法更高效。
  2. Standard power method in evaluating all the maximum modulus eigenvalues of square matrix and associated eigenvectors

    階實方陣的任意個模最大的特徵值及其相應特徵向量的規范化冪法
  3. The main part of this hybrid algorithm is a chebyshev iteration which applies chebyshev polynomials to act on initial vectors and makes the obtained vectors close to the wanted eigenvectors ; the second one is the preconditioning subspace iteration method which uses a preconditioning matrix to impact the residual matrix obtained from the iteration procedure, so the distribution of eigenvalues is improved

    第一個改進演算法是用chebyshev多項式加速的子空間迭代法，它是用chebyshev多項式作用初始向量，使其更接近所要求的特徵向量。第二個改進演算法是對每次迭代所得的殘余矩陣直接進行預處理以改善矩陣特徵值的分佈。
  4. Numerical results show the dynamic deflation for the implicitly restarted block lanczos method is effective for computing the multiple or clustered eigenvalues of a large sparse symmetric matrix

    數值結果表明，動態收縮的隱式重新開始塊lanczos方法，對計算大型稀疏對稱矩陣的重特徵值或密集特徵值是有效的。
  5. Based on the perturbation riccati transfer matrix method, the calculating program are developed. the program can be used to the perturbation analysis and the sensitivity analysis of the real and complex, the single and repeated eigenvalues and eigenvectors for lateral vibration of rod and beam structures, especially suitable to the perturbation analysis and the sensitivity analysis of eigenvalues and eigenvectors for rotordynamic systems ; 2. the perturbation riccati transfer matrix method was applied to identify the parameters of the rotor for a boiler supply pump, and the accurate dynamic model of the rotor was archived

    該程序可以對桿、梁結構橫向彎曲振動的實數、復數的孤立和重頻特徵值問題進行攝動分析和靈敏度分析，特別是適合於轉子動力學系統特徵值和特徵向量問題的攝動分析和靈敏度分析； 2 、用攝動riccati傳遞矩陣方法解決了某電站鍋爐給水泵轉子的參數識別及動力模型修改的問題，並給出了該種型號的給水泵轉子的更準確的力學模型，為進一步的轉子動力學分析與設計奠定了可靠基礎； 3 、給出了攝動理論在相關領域如隨機特徵值分析、隨機振動響應分析、可靠性分析、靈敏度分析、優化設計以及參數識別中的應用公式。
  6. The consistent mass matrix for the assembled element was derived to transform the dynamic equation to the generalized eigenvalues problem that can be solved using the inverse iterative method. moving frequency technique was also adopted in the calculation

    本文還推導了組合單元的一致質量陣，將動力學方程轉化為廣義特徵值問題，用逆迭代法求解，並在計算中採用「移頻」技術，對潤揚懸索橋和青馬大橋進行了振動計算。
  7. Eigenvalues of bordered matrix

    鑲邊矩陣的特徵根
  8. Third, controlling chaos in the chaotic n - scroll chua ' s circuit is studied. the approach taken is to use feedback of a single state variable in a simple pd ( proportional and differential ) format. first, the unstable fixed points in the n - scroll chua ' s circuit are classified into two different types according to the characteristics of the eigenvalues of the linearized system matrix at the fixed points

    第三，研究了多渦卷chua電路中不動點處jacobian矩陣特徵根的性質，並據此將不動點分成兩類，應用變量的比例微分反饋法分別對這兩類不動點的可控性進行了研究，研究發現該法只能實現第一類不動點及其相應子空間的混沌控制，而不能完成第二類不動點的混沌控制，並給出了數值模擬結果，理論分析和數值模擬證實了該方法的有效性。
  9. A numerical method of finding all the eigenvalues of a nonderogatory matrix

    求非虧損矩陣特徵值的一種數值計算方法
  10. Based on the electromechanical coupling characteristic of the multi - machine power system, the transitive closure is calculated depending on the synchronization torque coefficient matrix. then a proper threshold value is chosen to achieve the reasonable block decoupling of multi - machine power system. eigenvalues of block - decoupling subsystem are calculated respectively

    該方法根據多機電力系統的機電耦合特性，在多機系統同步力矩系數矩陣的基礎上，求取傳遞閉包，通過選擇適當的閾值水平，實現多機系統的合理分塊解耦；對各分塊解耦子系統分別計算特徵值，各子系統的特徵值的集合可以近似作為原多機系統的特徵值。
  11. Based on a theorem, the paper discusses the estimates of eigenvalues for a few special matrixes and presents a few relations of the eigenvalues for a set of general special matrix, aswell as their proofs

    摘要本文在定理的基礎上討論幾個特殊矩陣特徵值的估計，並給出一組一般矩陣特徵值的幾個關系式及證明。
  12. Using the hankel transform, the state vector equations are reduced to a set of ordinary differential equations. according to the theory of ordinary differential equations and the cayley - hamilton theorem, an analytical solution of the problem is presented in the form of the product of initial state vector and transfer matrix, which is given for the four distinct eigenvalues each. applications of the solutions are discussed

    利用hankel變換，將狀態變量方程轉化為一組常微分方程組；進而根據常微分方程組解的理論和cayley - hamilton定理，得到了以狀態變量和傳遞矩陣乘積表示的單層壓電壓磁彈性材料的解析解；並討論了4種不同特徵根的情況以及解的應用。
  13. Expressing matrix function by divide difference of eigenvalues

    用特徵值的差商表示矩陣函數
  14. First we construct a covariance matrix from sample images, then compute the eigenvalues and corresponding eigenvectors of the covariance matrix, construct a feature matrix with the eigenvectors. then every images in database can be projected into the feature matrix and gain a projection vector, so does the input image. then we can judge the resemblance between input image with each image in database by computing the distance between their projection vectors

    我們首先根據採集的樣本圖像構造一個協方差矩陣，然後求取該矩陣的特徵值，以這些矩陣特徵值對應的特徵向量構造出一個特徵空間，然後將輸入圖像向該特徵空間映射，將獲取的映射系數與樣本庫中圖像的映射系數進行距離計算，根據計算出的距離判定輸入圖像與樣本圖像間的匹配程度。
  15. First we construct a covariance matrix from sample images, then compute the eigenvalues and corresponding eigenvectors of the covariance matrix, construct a feature matrix with the eigenvectors. then every image in database can be projected into the feature matrix and gain a projection vector, so does the input image. then we can judge the resemblance between input image with each image in database by computing the distance between their projection vectors

    然後，根據採集的樣本圖像構造一個協方差矩陣，求取該矩陣的特徵值，以這些矩陣特徵值對應的特徵向量構造一個特徵空間，將輸入圖像向該特徵空間映射，計算獲取的映射系數與樣本庫中各類圖像的映射系數的歐基里德距離，根據計算出的距離判定輸入圖像與樣本圖像間的匹配程度。
  16. The eigenvalues ofjacobian matrix are derived and the stability condition is also presented. according to the bernoulli equation, similar to compressible calculations, pressure damping is introduced to accelerate convergence

    推導了euler方程通量矢量的jacobian矩陣在直角坐標系和曲線坐標系下的特徵值，並由此導出相應的穩定性條件。
  17. Hence, the transformation matrix composed with the eigenvectors corresponding to the largest eigenvalues of the transferred between - class scatter can maximize the fisher criteria

    然後在這個零空間里，尋找對應于樣本類間離散度矩陣的較大特徵值的特徵向量作為最終降維的轉換矩陣。
  18. The eigenvalues of a kind of special matrix

    一類特殊矩陣的特徵值
  19. On the confirmation of the eigenvalues and the eigenvectors of matrix

    用神經網路計算矩陣特徵值與特徵向量
  20. A neural network algorithm for computing matrix eigenvalues and eigenvectors

    一種計算矩陣特徵值特徵向量的神經網路方法
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