augmented matrix造句

Prediction to the regression parameters was converted to predict cross product matrix of the variable augmented matrix.

Using the method of augmented matrix, the model equations are changed from nonhomogeneous form to homogeneous form, to be solved.

This paper presents directly the general solution to sets of linear equations by properly bordering on augmented matrix and elementary transformation, and produeces some theoretical proving.

It shows that the presented method can be used to identify modal parameters effectively under ambient excitation and that the polynomial eigenvalue method is superior to the augmented matrix method.