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 проницаемостейДубровин, М. Г.,
Вокина, В. Р.,
Ядрышникова, О. А.,
Dubrovin, M. G.,
Vokina, V. R.,
Yadryshnikova, O. A. 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 FusionYuan, Yuchen,
Chen, Jianxue,
Rong, Jin,
Cattani, Piercarlo,
Kudreyko, Aleksey,
Villecco, Francesco -order Ito formula; the general solution of this
model is derived by semimartingale
approximation. After that
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
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.