Sentence examples for matrices we get from inspiring English sources

From the definition of the cosine of the angle between two given real matrices, we get (2.38).

Rewriting (21) for an n×n multiple-industry setting using matrices, we get begin{array}{*{20}l} ln {boldsymbol{pi}} - ln {mathbf{p}} = left[ ln {boldsymbol{pi}} - ln {mathbf{p}} - ln mathbf{z} right] mathbf{A}, end{array}.

These measures belong to Discriminant Analysis field and depending on the computation of these scatter matrices we get a discriminability measure that assumes each class to be Gaussian distributed, or a non-parametric approach.

Now, defuzzifying the above matrix, we get d 1 00 d 2 00 d 3.

Computing the derivative of Green's matrix, we get d G ( t, s ) d t = Q ( t ) G ( t, s ).

When we use penalty method to solve the pure Neumann problem, the associated stiffness matrix we get is ill-conditioned, which leads to the unstable computation.

When we multiply the received codeword with the parity check matrix we get the corresponding parity ranging from 000 to 111.

From this and the definition of the Sylvester matrix we get (r(x)= -1)^{operatorname{deg}_{x}(tilde{F})cdot operatorname{deg}_{x}(tilde{G})} s(x)).

In generalized singular-value decomposition, if (B = I_{n}), the (n times n) identity matrix, we get the singular value of (A).

and packing all the four threads into a single codeword matrix, we get s = b a a d c d b c c b b a d a c d d c c b a b d a a d d c b c a b (31).

If we colour for growing values the elements of the matrix, we get a repetitive pattern in both Figures 3 and 4. The values on the main diagonal VN3 i,i) show the aggregation of equal LC6's, the values of VN3 i,j) with j close to i show the aggregation between different but close BLC's having the same vorticity (the proximity should be interpreted on the winds cube).