According to the properties of the elementary transformation of matrix, similar matrices will become the same matrix after elementary transformation, and so their Code values are the same, and the mark the isomorphism class is the only.
Ho et al. also proposed an intelligent two-stage evolutionary algorithm (iTEA) that used orthogonal matrices to decide better solutions [ 7]. iTEA has shown its great power in the reconstruction of gene networks, but the orthogonal matrices will become bigger for large scale networks (e.g., 30 genes) and the computational time thus increases dramatically.
Further, if most of the received code words contain original messages, the decoding matrix will become closer to an identity matrix, making decoding very fast.
In previous papers, this failure has been attributed to ill-conditioning problems which prevail as the singularity is approached, but issues such as whether the coefficient matrix will become singular or whether one will obtain good results when the effects of ill-conditioning can be annihilated have not been discussed.
Although compressive sensing (CS) has been employed to estimate a sparse set of plane waves when formulated in the spherical harmonics domain, its performance at the low frequency is still not fully discussed, particularly if the plane waves are densely discretized, the columns of the sensing matrix will become highly correlated.
According to Fig. 11, with the addition of nanotubes, the fiber pull-out force will be increased by about 1 % which indicates that with the addition of nanotubes, the connection between the fibers and the matrix will become stronger and it can result in the RVE strength.
As more MS-based histone modification data becomes available, the co-occurrence matrix will become more accurate and comprehensive.
So, we can make an easy understanding that crack expansion is inhibited by the fibers, and meanwhile the matrix will become more powerful.
Obviously, if we further reduce τ to (tauleqbeta|A_{2}^{top}A_{2}| ), the proximal matrix G will become indefinite, and it is thus natural to ask whether or not the corresponding method with such G is still globally convergent?
If this makes the frequency of accepted transitions larger than an upper limit (f a > f u), the covariance matrix ∑ will become larger and the method will sample broader regions.
If there is no phase change point in the BPSK modulation matrix, D B will become a unit matrix.
