Sentence examples for matrices with two from inspiring English sources
We design heuristic algorithms to construct Hadamard matrices with two circulant cores.
The thermally compressed fabric matrices with two different pore sizes (15 and 20 μm in pore radius) were used to culture human trophoblast ED27 and NIH 3T3 cells.
The application of JGMD is considered, and the sufficient and necessary condition of the existence of JGMD is derived for the case of two complex-valued matrices with two columns.
Organically modified montmorillonites (OMMTs) by octadecylammonium chloride with two adsorption levels were dispersed in polyamide 12 (PA12) matrices with two molecular weights for different melt mixing times in order to investigate morphology evolutions and factors influencing fabrication of PA12 nanocomposites.
An elaborate implementation is presented, and the existence condition of JGMD is also investigated for two complex-valued matrices with two columns, where the analytical result reveals the connection with the particular channel realization and essentially determines when to consider JGMD for submatrix construction.
We used the remaining 31 matrices with two programs, Stubb [19], [20] and PhyloGibbs-MP [31], to predict cis-regulatory modules as well as binding sites for individual transcription factors.
To that end, we denote by o f f ( m ) : = { Z ∈ C m × m | z ii = 0, i=1,…,m}the set of matrices with zero diagonal.
from (mathcal {N}left (0,frac {1}{m}right)); (bullet mathcal {S}_{7}): sparse matrices with seven nonzero entries per column drawn with equal probability from (left {-frac {1}{sqrt {7}},frac {1}{sqrt {7}}right }) and locations in each column chosen uniformly.
Weight vectors in both conditions are found as eigenvectors of correlation matrices with zero diagonal elements.
Following this, we calculated correlation matrices for replicate GeneChips (four correlation matrices with four GeneChips per matrix; all r from replicate GeneChips > 0.980) on the summarized probe-set level data.
As shown in Figure 1, the NMF method achieved the best fitting of the mutation matrices with four signatures in most of the nine cancers, with a narrow range of three to five.
