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At the present time, there are various discretization methods to discretize a continuous model, including the standard methods, such as Euler method, Runge-Kutta method, and some other standard finite difference schemes, and the nonstandard finite difference (NSFD) scheme, which is originally developed by Mickens [10 12].
At the present time, there are various discretization methods to discretize a continuous model, including the standard methods, such as the Euler method, the Runge Kutta method, and some other standard finite difference schemes, and the non-standard finite difference scheme, which is originally developed by Mickens (see [24 26]).
We use high-resolution finite-difference methods to discretize these equations.
Traditional approach to effectiveness factor calculations uses finite difference methods to discretize two-point boundary value differential equations.
In this paper we present stabilized finite element methods to discretize in space the monochromatic radiation transport equation.
We present two numerical methods to discretize the interaction forces that enter the model; these two approaches differ in complexity and convergence.
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For these computations, we use finite differences to discretize the time coordinate, a discrete ordinate method to discretize the directional variable, and an expansion in radial basis functions to approximate the spatial dependence of the solution.
Ansys Fluent uses the control volume method to discretize the governing equations on an unstructured grid.
QC-MQFDT incorporates the adaptive fuzzification method to discretize continuous-valued data.
Then we use a time-splitting spectral method to discretize the time-dependent GPE.
We employ Nyström method to discretize the BIE and generate the corresponding matrix equation.
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