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Patterns of vertically aligned CNTs (also known as carbon nanotube arrays (CNAs)) can be immersed in polymer or ceramic matrices for obtaining nanoporous materials, which are characterized by precisely controlled pore width and density.
In 2016, Sonker and Munjal [12] determined a theorem on generalized absolute Cesáro summability with the sufficient conditions for an infinite series and in [13], they used the concept of triangle matrices for obtaining the minimal set of sufficient conditions of an infinite series to be bounded.
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Generally, there are two methods, namely transfer matrix method and assemble matrix method, for obtaining the dispersion relations in laminates.
The Sparse Matrix approach for obtaining lead crystallization conditions has proven to be very fruitful for the crystallization of proteins and nucleic acids.
In this paper, a novel matrix algorithm for obtaining numerical spectral solutions for second-order boundary value problems is presented and analyzed.
By using a matrix inequality approach and by constructing a proper Lyapunov Krasovskii functional that utilizes the complete available information about the actual sampling pattern and time-varying delay, we formulate stability conditions and a control design procedure in the form of linear matrix inequalities for obtaining the required result.
Inversion algorithms that use the inverse triangular factor are useful in certain cases (e.g., for updating an inverted matrix or for obtaining quick approximations), but they would be less efficient, in terms of computing time, for the single purpose of inversion.
Existing methods require matrix inverse computation for obtaining a systematic generator matrix from parity check matrix.
To promote the stability analysis and achieve a better control performance, the information of membership functions and slack matrices are utilized for obtaining the main results.
Luminescent-magnetic nanocomposites (nano-ZnO and magnetite in polystyrene matrix) were used for obtaining the dependencies, magnetite serving as a quencher varphi /{varphi}_A=1 + k2tau left[Aright] (1).
Second, Markov chain Monte Carlo methods [ 38] represent a feasible alternative to numerical matrix-based methods for obtaining steady-state distributions.
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