转置矩阵

  • 网络transpose matrix;transposed matrix;Transpose of a Matrix
转置矩阵转置矩阵
  1. 利用该Toeplitz矩阵及其共轭转置矩阵的乘积矩阵,我们可以对剩余相干信号的DOA进行估计。

    Using the product of the Toeplitz matrix and its conjugate transpose matrix , the remaining coherent signals can be resolved .

  2. 左乘转置矩阵法建立济南市岩溶水多元随机模型

    Establishment of the multi-element stochastic model of the karst water in Jinan city using the left-multiplication transpose matrix method ¨

  3. Fuzzy次转置矩阵的性质

    Properties of Fuzzy Sub - Transposed Matrix

  4. 该算法转置矩阵,提高cache命中率,从而降低矩阵乘积时间。

    The algorithm improves cache hit rate by transposing the matrix and consequently reduces the execution time of the matrix multiplication .

  5. 如果A是mxn矩阵,那么nxm矩阵为A的转置矩阵。

    If A is the mxn matrix , then the nxm matrix is called the transpose of A.

  6. 加装印刷电路板的圆孔阵矩形机壳屏蔽效能如果A是mxn矩阵,那么nxm矩阵为A的转置矩阵。

    Shielding effectiveness of PCB loaded rectangular enclosure with circular-aperture array If A is the mxn matrix , then the nxm matrix is called the transpose of A.

  7. 伴随矩阵A与矩阵A、矩阵A的逆矩阵A-1、矩阵A的转置矩阵A′、矩阵A′的行列式有着密切联系,伴随矩阵A的行列式和秩也有其特殊性质。

    It has a close relation to matrix A , inverse matrix A-1 , transposed matrix A ′ and the determinant of matrix A. Besides , the determinant of adjoint matrix A and its rank also have their own special properties .

  8. 特别,得到了当布尔矩阵A的加权Moore-Penrose逆存在时,A的加权Moore-Penrose逆是唯一的,并且当权矩阵大于等于单位矩阵时A的加权Moore-Penrose逆正好等于A的转置矩阵。

    In particular , this paper obtains that the weighted Moore-Penrose inverse of a Boolean matrix A is unique whenever the weighted Moore-Penrose inverse of A exists and if the weight matrices are not smaller than the unit matrix the weighted Moore-Penrose inverse of A equals to transposed matrix of A.

  9. 次转置矩阵的有关命题

    Proposition Concerned with the Sub transposed Matrix

  10. 跟转置矩阵记号相联系的是它的复共轭矩阵,物理学家称之为伴矩阵。

    Associated with the notion of the transposed matrix is its complex conjugatx known to physicists as the adjoint matric .

  11. 并且给出了立体阵的转置矩阵的定义,得到了立体阵的转置矩阵和共轭矩阵的定义和性质。

    The definition of the transposed matrices is given , and gotten some properties of the transposed matrices and the conjugated matrices .

  12. 提出行(列)转置矩阵与行(列)对称矩阵的概念,研究它们的性质,获得一些新的结果。

    The concept of row ( column ) transposed matrix and row ( column ) symmetric matrix are defined . Their basic properties are studied and some new results are obtained .

  13. 用次转置矩阵与次对称矩阵等概念推出了次转置矩阵的逆矩阵与次转置矩阵相似等有关命题。

    From the concept of sub transpose and sub symmetry of the matrix , the author deduces the related . Proposition that the inverse matrix of the sub transposed matrix is similar to the sub transposed matrix .

  14. 用微机或小型计算机转置大矩阵的几种快速算法

    Fast algorithms for transposing large matrices using microcomputer or minicomputer

  15. 网损微增率新解法与转置雅可比矩阵法用于有功优化计算的比较

    Comparisons between new method and transposed Jacobian matrix method for calculating incremental transmission losses in active power economic dispatch

  16. 介绍一种计算网损微增率的新算法&导纳矩阵法,将其用于电力系统有功功率经济分布计算,并将计算结果与转置雅可比矩阵法的计算结果进行比较。

    A new algorithm for calculating incremental transmission losses & admittance matrix method is introduced in this paper . It was used to calculate active power economic dispatch in power system and compared with the result by using transposed Jacobian matrix method .

  17. 设A是n阶矩阵A的伴随矩阵,本文证明了A,A的逆、转置和伴随矩阵等之间的一些性质。

    Let A be a matrix , Ais it 's Conjugate transpose matrix , A ~ ( - 1 ) is inverse matrix of A. In this paper we prove further properties among these matrices .

  18. 如果你转置一个矩阵,这将不会改变它的行列式。

    If you transpose a matrix , that doesn 't change the determinant .

  19. 本文提出的Hadamard变换神经网络用变换矩阵的转置直接作为互连矩阵,而无学习步骤,可同时处理整个数据向量,并在几百纳秒内任意逼近所求变换值。

    The proposed Hadamard transform neural net uses the transposed transform matrix as the interconnect conductance matrix and has no learning phase . It operates on entire data vectors simultaneously and settles into a value arbitrarily close to the correct transform value within hundreds of nanoseconds .

  20. 广义M-矩阵对角占优、行列式、转置及顺序主子矩阵的性质

    Diagonally Dominant , Determinant , Order Principal Matrix , Transpose Properties of Generalizations of-matrices