2024
DOI: 10.3390/math12071121
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Efficient Fourth-Order Weights in Kernel-Type Methods without Increasing the Stencil Size with an Application in a Time-Dependent Fractional PDE Problem

Tao Liu,
Stanford Shateyi

Abstract: An effective strategy to enhance the convergence order of nodal approximations in interpolation or PDE problems is to increase the size of the stencil, albeit at the cost of increased computational burden. In this study, our goal is to improve the convergence orders for approximating the first and second derivatives of sufficiently differentiable functions using the radial basis function-generated Hermite finite-difference (RBF-HFD) scheme. By utilizing only three equally spaced points in 1D, we are able to bo… Show more

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Cited by 2 publications
(6 citation statements)
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“…Additionally, we set −x l = x r = 40 and T = 2. Tables 1 and 2 demonstrate that the numerical scheme ( 26)- (30) achieves second-order accuracy in time and fourth-order accuracy in space for numerical solutions U n and V n with α = 2. Table 3 presents the l 2 h -norm errors and convergence orders for different α ∈ (1, 2).…”
Section: Numerical Experimentsmentioning
confidence: 92%
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“…Additionally, we set −x l = x r = 40 and T = 2. Tables 1 and 2 demonstrate that the numerical scheme ( 26)- (30) achieves second-order accuracy in time and fourth-order accuracy in space for numerical solutions U n and V n with α = 2. Table 3 presents the l 2 h -norm errors and convergence orders for different α ∈ (1, 2).…”
Section: Numerical Experimentsmentioning
confidence: 92%
“…, and z = (a T , b T , c T ) T ; then, z is a 3(J − 1)-dimensional vector or a point of 3(J − 1)-dimensional Euclidean space R 3(J−1) . Now, we use the Schauder fixed point to prove the existence of the solutions for the finite difference scheme ( 26)- (30). For this purpose, we construct a mapping T λ : R 3(J−1) −→ R 3(J−1) of the 3(J − 1)-dimensional Euclidean space into itself, with a parameter λ ∈ (0, 1)…”
Section: Theoremmentioning
confidence: 99%
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