Sentence examples for matrices with minimum from inspiring English sources

In this work, we propose a method to design sensing matrices with minimum coherence to a given sparsifying orthogonal basis.

The reduced data set was tailored for a combined analysis to have a maximum taxonomic overlap of morphological and molecular character matrices with minimum missing data.

Then, module clustering was process based on dissimilarity matrix with minimum module size setting at 100.

This in turn makes it possible to select the output feedback matrix with minimum norm or other constraints.

In [16], even though the proposed approach has a closed form for a diagonal matrix denoted by Φ, the final relay precoding matrix should be chosen in order to be a block diagonal matrix with minimum norm.

We easily find that the maximum SNR filtering matrix with minimum distortion is: H max ′ = I i Φ x d b max ′ b max ′H λ max ′ = I i Φ in b max ′ b max ′H (72).

In Fig. 3(a), we display a portion of the weight matrix with minimum probability flow representing a (v = 80) network (4,994,380 weight and threshold parameters) given 100 (({approx}1mathrm{e}21%) of all 40-cliques), 1000 ((1mathrm{e}20%)), or (10text000) ((1mathrm{e}19%)) randomly generated 40-cliques as training data; these are the three special starred points in Fig. 2.

Note that there may exist many matrices with the minimum N(C) value.

Note that the case when r and ni are 16 may occur, because there may exist many possible matrices with the minimum N(C) value and all of them cannot be considered in a given number of iterations, ni.

To obtain optimal CA recovery performance, one would choose the sensing matrix A with minimum structure, i. e., the selection of the m entries of the delay product would be completely random.

All blend compositions display lower electrical percolation thresholds compared to the neat matrix, with a minimum at 0.5 wt% MWCNTs for blends having a co-continuous blend morphology.