Sentence examples for matrices the computational from inspiring English sources

Using the algorithms specifically tailored to cyclically banded matrices, the computational complexity per data block reduces to, which is linear in the block size.

Since PCA can maximally retain the useful information of the weight matrix, the computational scale can be effectively reduced almost without degrading the qualities of the reconstructed images.

We choose to construct a d-disjunct matrix H instead of a d-separable matrix considering the computational complexity of decoding.

Parameter n is equal to the dimension of matrix A. The computational complexity of the linear and non-linear models depends on the size of matrix A, which is m ×  m (i.e. ridge regression BLUP) or n ×  n (i.e. GBLUP) for the linear models and n ×  n for the non-linear models implemented in our study, which means that the complexities are either o(m) or o(n).

The final score, boundaries and alignment of a hit are computed based on filling in a Forward/Backward dynamic programming matrix, but the computational burden of doing this for the full target database is prohibitive.

By employing three different fast Toeplitz-matrix solvers, the computational time and storage requirements are significantly reduced in the proposed SBM analysis.

We can parametrise a general unitary operator p ∈ U ( 2 ) by the matrix in the computational basis p = e i η ( e i ϕ cos θ e − i ψ sin θ e i ψ sin θ − e − i ϕ cos θ ).

We tested the classification accuracy of support vector machine (SVM) and position specific score matrix (PSSM) – the computational methods used by geno2pheno and WebPSSM respectively.

For instance, if the full matrix is used, the computation of in (8) involves full matrices, and therefore the computational complexity would be at least.

The LS solution requires the inversion of the (mathcal {T}times mathcal {T}) matrix R, and the computational cost of the matrix inversion can be high when (mathcal {T}) is large.

The present work also introduces a criterion for updating the nonlinear system matrices, significantly reducing the computational complexity of the simulation and enhancing the efficiency of the technique.