主对角线

利用矩阵主对角线上的块阵缩小不改变矩阵的负定性的性质，将一个从输出反馈控制得到的非线性矩阵不等式转化为线性矩阵不等式（LMI）。

By using the property that negativeness of a matrix is not changed when its main diagonal blocks decrease , a nonlinear matrix inequality can be transformed into linear matrix inequalities ( LMIS ) .

对角拉丁方是主对角线和反对角线均为截态的拉丁方。

A diagonal latin square is a latin square whose main diagonal and back diagonal are both transversals .

Kappa检验主要检验配对计数资料C×C表主对角线上的计数值是否显著地大于其期望值。

Kappa statistics focuses on the counts in the major diagonal of the C × C table , testing if the diagonal counts were significantly higher than those expected ( by chance alone ) .

主对角线全为零的置换模式矩阵的惯量

The Inertias of Some Permutation Sign Pattern Matrix with Zero Diagonal Entries

仅有的非零元素集中于主对角线的方块中的行列式是分块对角形式的。

A determinant whose only nonzero elements occur in square blocks centered about the principal diagonal is in block-diagonal form .

然后构造了在预给极点情况下求主对角线和副对角线上向量值有理插值的矩阵算法。

In addition this paper constructs a matrix algorithm for computing bivariate diagonal vector valued rational interpolants with preassigned poles .

应用全补偿分析及函数逼近法，减少了求主对角线占优矩阵的困难，并使补偿网络简化。

By applying perfect compensation anlysis and functional approximation , the determination of diagonal dominant matrix is made easier , and the compensation network is made simpler .

改进前馈三层神经网络代数算法。改进算法后隐层的输出矩阵是主对角线上的元素全部非零的上三角矩阵，而这样的矩阵是非奇异的。

Improve algebraic algorithm of the feedforward three-layer neural network such that the output matrix of hidden layer is upper triangular matrix whose main diagonal elements are not zero , and those matrix is nonsingular .

网络的元件参数全部集中在系数矩阵的主对角线上，矩阵中其他元素是0或±1。然后用外代数法求解混合变量方程组。

All the element parameters are placed on the master diagonal , the other elements in the matrix being O or ± 1 . Then , the exterior algebra solution is used to solve the hybrid variable equations .