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We propose two new classes of time integrators for stiff DEs: the implicit exponential (IMEXP) and the hybrid exponential methods.
Figure 3 The containing relationship of four classes of time scales.
There are two main classes of time series models that have been developed recently for count data: state-space models and thinning models.
In recent years, there has been a great deal of interest in studying oscillatory behavior of solutions to dynamic equations on various classes of time scales; see, for example, [1 26] and the references therein.
Two classes of time estimation methods were used and compared.
The classes of Time of day were more connected to human activity level than light conditions.
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The purpose of this analysis is to introduce the reproducing kernel Hilbert space method for treating classes of time-fractional partial differential equations subject to Neumann boundary conditions with parameters derivative arising in fluid-mechanics, chemical reactions, elasticity, anomalous diffusion, and population growth models.
In particular, we identify the finite-element continuity equations that must be satisfied by the discrete current sources for several classes of time-domain Vlasov Maxwell simulations to preserve the Gauss law at each time step, and propose a generic algorithm for computing such consistent sources.
However, these parameters do not completely characterize all classes of time-varying processes.
In this paper a particular class of time delay systems are considered.
Output tracking can be achieved against a class of time varying parameter variations and external disturbances.
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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