Sentence examples for matrices are typically from inspiring English sources

The mechanical properties of synthetic and natural matrices are typically characterized by either atomic force microscopy or rheology.

The method involves post-processing a conventional, but low order, FE model in which the mass and stiffness matrices are typically found using a conventional FE package.

Furthermore, since the element matrices are typically found using a commercial FE package, the meshing capabilities and the wealth of existing element libraries can be exploited.

In any case, these matrices are typically very large and tend to grow very fast as new users and items enter the system.

For the problems of interest, it is noted that the finite element viscous and structural damping matrices are typically very sparse, so the rank of the matrices are identified with the singular value decomposition (SVD) method.

Since the discretization of the continuous model of the structure reflects only a limited degree of coupling between model elements, the associated mass and stiffness matrices are typically sparse.

The MBGNF matrices were typically characterized by highly ordered, one-dimensional channels in a hexagonally packed mesostructure.

A confusion matrix is typically used for evaluating the performance of a predictive algorithm (Fielding and Bell 1997).

Symmetrical channel path gain matrix: In this scenario, the structure of the channel path gain matrix is typically circular for a single-user case.

The performance of GiMMiK's kernels is particularly apparent in a block-by-panel type of matrix multiplication, where the block matrix is typically small (e.g. dimensions of 96×64).

The basic idea is to handle the modal viscous damping matrix by noting that the rank of the viscous damping matrix is typically very low for problems of interest.