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Our results cannot only be applied to differential equations and difference equations, but they can also be applied to other dynamic equations with positive and negative coefficients.
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Some abstract theorems are applied to differential inclusions and multivalued fractals.
This niching method is applied to differential evolution, but it can be used in other evolutionary or swarm-based methods, such as the genetic algorithm and particle swarm optimization.
A novel method named wavelet packet transform based Elman recurrent neural network (WPTERNN) was applied to differential pulse voltammetric techniques for simultaneous determination of Ni II), Zn II) and Co II) by combining wavelet packet denoising with Elman recurrent neural network (ERNN).
In this work, an integrated glycoproteomics workflow was applied to differential analysis of N-glycoproteome between HCC and normal human liver tissues.
Generally speaking, some ideas to oscillation of differential equations without impulses can also be applied to impulsive differential equations.
On the other hand, wavelets can be applied to discretize differential equations (see, e.g., [5, 6]).
The main advantage of such methods is that they can successfully be applied to nonlinear differential equations [11 13].
Moreover, we show that the idea may be applied to nonlinear differential equations with a large parameter.
In 2003, Sun [5] demonstrated nicely how the interval criteria method can be applied to delay differential equations of the form.
The analysis is confined to small deflections of plate but the technique can also be applied to appropriate differential equations for large deflections.
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