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Sinks visit those sites (combinations) together and start the topology tree formation process to construct their matrices if the sensor nodes' positions are not known a priori.

One of the results of our paper is showing that the natural (and optimal in certain sense) representation by uni-triangular matrices constructed in [29, 31] leads to automatic matrices, if the group is generated by a finite automaton.

There are two cases to be distinguished regarding the covariance matrices: if the covariance matrices are different for each class, then we have a QDA classifier, while if they are identical for the different groups, it becomes a LDA classifier.

Forni et al. (2011) gave a possible solution, using weighting of the genomic relationship matrix by the A matrix to eliminate singular matrices, if the number of loci is limited or two individuals have identical genotypes across all markers.

The GGN can be obtained summing any number of adjacency matrices: if the edge values of the GGN are normalized by the number of genomes under comparison we obtain a weighted network with edge values corresponding to the fraction of times a given gene is found close to another one in these genomes.

You can only multiply matrices if the number of columns of the first matrix is equal to the number of rows in the second matrix.

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A is called a Metzler matrix, if the off-diagonal entries of matrix A are non-negative.

It was found that martensite start temperature linearly depends on the valence electron concentration (e/a) of the matrix, if the Ga content is constant.

However, we will see that it is able to identify matrix H to within a diagonal scaling matrix if the inputs are Zero-mean and independent.

One recalls that nonlinear control system (3.51 - 3.52) is stabilizable by a feedback control where is a matrix, if the closed-loop system (3.54). is asymptotically stable.

We will prove that our new approach yields the same result as a calculation with the Fisher information matrix if the mathematical model is linear in the model parameters.

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