Sentence examples for matrix is dense from inspiring English sources

As a result of the use of a non-1D conductivity profile, the ({varvec{Q}}_{p>0}) matrix is dense.

We say that the transition matrix is dense if at least 50%% of the entries have probabilities greater than 0; otherwise, we called it a sparse transition matrix; R S×A is the reward function that represents the reward received after applying an action a∈A in the state s∈S; and.

We say that the transition matrix is dense if at least 50%% of the entries have probabilities greater than 0; otherwise, we called it a sparse transition matrix; R S×A is the reward function that represents the reward received after applying an action a∈A in the state s∈S; and γ∈]0,1[ is the discount factor used for weighting future rewards [1].

Note that for small values of

As a consequence we get that the set of eigenvalues of tridiagonal sign matrices is dense in the unit disk.

The FE-SEM results confirmed that the interface between the SMCA and the cement matrix was denser and ITZ was strengthened with a high level of calcium silicate hydrate by the surface modification.

A factor of 126 in the size of the matrices for each value of R. Legendre collocation matrices are dense by diagonal blocks of size (14 times36).

Note that this requires that both G−1 and are computed beforehand, which is not computationally feasible because these matrices are dense and large when the number n2 of genotyped animals is large.

In this paper we study the N-extremal matrices of measures associated to a completely indeterminate matrix moment problem, i.e., those matrices of measure W, solutions of a completely indeterminate matrix moment problem for which the linear space of matrix polynomials is dense in the corresponding L2(W).

Therefore, transition matrix P is dense and when direct methods, that is, Gaussian elimination, are applied, the run-time complexity of steady-state probabilities is in the neighbourhood of O(n).

When the sensing matrix is the dense Gaussian random matrix, we have y = Φ x = ∑ i = 1 N x i ϕ i (43).