We develop a dimension reduction framework for data consisting of matrices counts. Our model is based on the assumption existence small amount independent normal latent variables that drive dependency structure observed data, and can be seen as exact discrete analogue contaminated low-rank matrix model. derive estimators parameters establish their limiting normality. An extension recent proposa...

Existence of data allows use solution methods for differential equations that would otherwise be inapplicable. The process this is formalized by using derivation matrices reduce the time necessary and solving equations. Derivation are formulated applying numerical in matrix notation, like finite difference schemes. In work, a novel formulation developed based on Lagrange polynomials with specia...

second order advantage of excitation-emission fluorescence matrix was applied for the simultaneous determination of ibuprofen and caffeine. the proposed method is based on the measurement of the native fluorescence and recording emission spectra of ibuprofen and caffeine in different excitation wavelengths. the mixture of these compounds was resolved by multivariate curve resolution coupled wit...

in this paper, linear matrix inequality (lmi) approach for synchronization of chaotic fuzzy cellular neural networks (fcnns) with discrete and unbounded distributed delays based on sampled-data controlis investigated. lyapunov-krasovskii functional combining with the input delay approach as well as the free-weighting matrix approach are employed to derive several sufficient criteria in terms of...