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In fact, the fractional approach generalizes the classical models of the dengue model.
Before doing so, we consider the question of how to formulate the acceleration of a particle in the fractional approach.
The test bed consists in a mechanical manipulator and the effect of the fractional approach upon the system performance is evaluated.
Several different approaches to deal with nondifferentiable functions are followed in the literature, including the time scale approach, the fractional approach, and the quantum approach.
The fractional approach proved to be highly effective in a rich variety of scenarios such as continuous time random walk models, generalized Langevin equations, or the generalized master equation.
For a constant mutual diffusion coefficient, Dm, the fractional approach to equilibrium, F, is a function only of dimensionless time, τ0, and the equilibrium volume ratio, Φ. Gel collapse is faster than swelling when Dm is the same for both.
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Such QM methods are typically based on either semi-empirical calculations [29] or ab initio methods using fractional approaches, e.g., the fragment molecular orbital (FMO) method or the molecular fractionation with conjugate caps (MFCC) and related methods [30, 31].
Compared to the full factorial experiments, fractional approaches focus on the orthogonal arrays of data to analyze different levels of factors which lead to a considerable reduction in number of conducted experiments.
Relation to the fractional differential approach is demonstrated.
The second part deals with hysteresis modelling during unloading path using a fractional derivative approach.
A fractional calculus approach is applied to model constitutive behavior of magnetorheological elastomers.
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