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The derivatives are approximated using the central difference formula.
The continuous time finite element equations are then integrated in time by using the central difference algorithm.
First order derivatives: (a) using the forward difference, (b) using the backward difference, (c) using the central difference.
The resolution is easily performed with a step-by-step solution technique using the central difference scheme to solve the coupled equation system.
The gradient term ∇ a E, for example, can then be approximated using the central difference approximation as ∇ aE ≈ E ( Φ a, b, h, θ ) − E ( Φ a − ϵ, b, h, θ ) 2 ϵ. (16).
Here, we denote by ∇ the gradient of J ( u ) processed using the central difference method, such that the derivative for any point of index u ∉ {1, N s } is processed as ∇ ( J ( u ) ) = 1 2 ( J ( u + 1 ) - J ( u - 1 ) ).
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Subsequently, time-slopes of noise-free and smoothened noisy data were computed using the central finite difference approximation.
We prove that this change does not affect the order of convergence of the numerical solution obtained by using the central finite-difference scheme.
Triangles represent the mesh used for simulation, with green triangles representing the border cells used in the central difference method.
The time step used in the central difference approximation is Δ t/2 because FADI-FDTD method has two substeps with each substep having time step of Δ t/2.
The lack of direct measurement method for modal curvature necessitates the use of the central difference estimation, which reduces the stability of the algorithm.
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