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Machine learning methods for modeling the kinetics of combustion in problems of space safety consider the problem of approximating chemical kinetics for modeling the detonation of a hydrogen

О применении LET-модели для аппроксимации керновых относительных фазовых проницаемостей and the use of the LET-model in application to this problem. Some existing analytical dependencies

Tool Degradation Prediction Based on Semimartingale Approximation of Linear Fractional Alpha-Stable Motion and Multi-Feature Fusion-order Ito formula; the general solution of this model is derived by semimartingale approximation. After that

Pseudo-hysteretic double-front hiatus-stage soil water parcels supplying a plant-root continuum: The Green-Ampt-Youngs model revisited | Masses d'eau du sol à double front et pseudo-hystérésis alimentant le continuum plante-racines: Retour sur le modèle de Green-Ampt-Youngs-Ampt model. The capillary pressures as well as effective porosities on the fronts are given (generally

Proton model of ferroelectrics with tunneling in the static fluctuation approximationThe transverse Ising model is considered in the static fluctuation approximation. This hinges

Adsorption isotherms in the approximation of Langmuir monolayer correlations calculated within the Langmuir approximation of the correlation sums at different lateral interaction

Problem of estimating approximate integrals of motion of multiparticle systemsA simple method is proposed for estimating approximate integrals of motion (AIM), introduced in [4

Maximizing the lift-drag ratio of wing airfoils with a turbulent boundary layer: Exact solutions and approximationsExact solutions and approximations for maximizing the lift-drag ratio of wing airfoils with a

Modelling a Crawler Robot Using Wheels as Pseudo-Tracks: Model Complexity vs Performance simulation performance. The model complexity is reflected by a number of virtual wheels that approximate each

An Epidemic Model with Time Delay Determined by the Disease Duration good approximation of the COVID-19 data and of the more detailed model with distributed parameters.

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