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One of the most effective numerical methods relies on variational formulations; see [1, 2], and [3].
Therefore, it is considered to be one of the most effective numerical methods.
The classical finite difference (FD) scheme (FDS) is one of the most effective numerical methods to solve the nonlinear system of PDEs for the traffic flow.
We carry out numerical simulations for a wide range of supercooling and cooling rate by using the phase-field method, which is one of the most effective numerical methods to simulate crystal growth in a supercooled liquid.
A statistical method called the two-stage nested design was used to determine the most effective numerical parameters that could describe changes in the surface conditions of human knee cartilages affected by OA.
For example, among the most effective numerical technique is the projection method and its variant forms; however, the projection type techniques cannot be extended for constructing iterative algorithms for mixed variational-like inequalities, since it is not possible to find the projection of the solution.
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A classical finite difference (FD) scheme with fully second-order accuracy is one of the most effective high accuracy numerical methods for finding the numerical solutions of NSIBEs (see [2]).
From the numerical results, the most effective methods of reducing (V_{2}^) are the same as for the virus-free case.
Traditionally, we have been most concerned with the development of effective numerical software for generating the approximate solution and several efficient and reliable numerical libraries are now available for use within the most widely used PSEs.
The present numerical studies reveal the most effective parameters in order to produce stronger coatings.
A numerical simulation shows that the most effective scattering occurs in the case that the wavelength is twice the characteristic scale of the scatterer (Yomogida and Benites 1995).
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