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The model solves numerically the discrete form of the equations for the mass, momentum and energy conservation.
The model solves numerically in an implicit, time-dependent manner the full Reynolds equations, in Cartesian, collocated grid arrangement.
The model solves numerically the magnetohydrodynamic equations in a rotating spherical shell filled with an electrically conducting fluid obeying the Boussinesq approximation.
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The operating process variables were calculated by a mathematical model solved numerically.
To account for these difficulties, the full mathematical model is solved numerically using a novel numerical algorithm developed based on domain decomposition method.
The model was solved numerically using MATLAB and the models efficiently predicted the time to reach equilibrium and levels of O2 and CO2 at equilibrium with E values in the range of 5.92 8.60% and 7.14 9.35%, respectively.
The established mathematical model was solved numerically through the modified Hydrus-1d source code, and the model simulations agreed well with the experimental data.
The model is solved numerically using the finite-difference approach and applied to a digital elevation model.
The TK model has been implemented in MATLAB; the system of ODEs comprising the TK model is solved numerically using the stiff solver ode15s.
The equations of the model framework are solved numerically with a direct simulation Monte Carlo (DSMC) algorithm.
The model is solved numerically.
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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