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As they are mainly based on domain discretization, EM simulations require solving enormous systems of linear equations simultaneously.
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The number of discretization items should be determined by users based on domain knowledge.
Therefore, domain architecture should be designed based on domain requirements.
Our approach is based on discretization and anti-discretization methods developed in [4, 7, 8] and [6].
Finite element models of reinforced concrete structures have generally been based on mesh discretization of a continuous domain into a set of discrete subdomains, usually called elements representing the concrete and the steel reinforcement.
The FEM framework is based on discretization of the continuous domain and function spaces (Hadjicharalambous et al. 2014).
In the field of mathematical biology, numerical schemes are usually based on the discretization of continuum equations.
We develop a Finite Volume scheme, based on Vertex-Based discretization, which reaches these objectives.
This algorithm is based on a discretization using finite difference formulation for the Caputo sense.
The crucial idea is based on the discretization of the RLW equation with the aid of a combination of the discontinuous Galerkin method for the space semi-discretization and the backward difference formula for the time discretization.
A new algorithm based on a discretization method using storage arrays is developed.
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