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Linear systems with two-by-two block matrices are usually preconditioned by block lower- or upper-triangular systems that require an approximation of the related Schur complement.
Point estimators for these matrices are usually used and they are evaluated using statistical inference methods and/or expert evaluation methods.
In the studies of dynamical networks, the outer coupling matrices are usually assumed as constant matrices.
However, the neuron activation functions and coefficient matrices are usually nonidentical for different neural networks, that is, the proposed impulsive controllers with fixed impulsive intervals are not universal.
While a number of deterministic [12 14] and probabilistic [15 17] priors have been proposed over the source spectra, the mixing vectors and the source spatial covariance matrices are usually estimated in an unconstrained manner.
Many investigators have attempted to model the natural matrix by producing materials containing HA [6], [7], [8], [9] and/or collagen I [10], [11], [12], [13], and in vitro studies suggest that these matrices are usually highly osteoconductive [14], [15].
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Medieval matrices were usually made of latten a kind of bronze or of silver.
The class of matrices is usually selected as the measurement matrix for compressive data gathering in WSNs.
However, the dimensionality of these feature matrices is usually too high for image representation.
The calculation of the feedforward and feedback matrices is usually implemented via a QR-type decomposition [30] and requires (18).
The information in matrices is usually better digested if presented by 3D plots or heat maps.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com