V
Vahid Reza Hosseini
Researcher at Nanchang University
Publications - 19
Citations - 489
Vahid Reza Hosseini is an academic researcher from Nanchang University. The author has contributed to research in topics: Discretization & Fractional calculus. The author has an hindex of 6, co-authored 11 publications receiving 336 citations. Previous affiliations of Vahid Reza Hosseini include Hohai University.
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Numerical solution of fractional telegraph equation by using radial basis functions
TL;DR: In this paper, the radial basis functions were implemented for solving a classical type of time-fractional telegraph equation defined by Caputo sense for ð1oαr2Þ.
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Local radial point interpolation (MLRPI) method for solving time fractional diffusion-wave equation with damping
TL;DR: The unconditional stability and convergence with order O ( ? 6 - 2 α ) are proved, where ? is time stepping and the MLRPI scheme based on Galerkin weak form is analyzed.
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Local integration of 2-D fractional telegraph equation via local radial point interpolant approximation
TL;DR: In this article, a meshless local radial point interpolation (MLRPI) method is proposed to construct shape functions using the radial basis functions, which does not require any background integration cells so that all integrations are carried out locally over small quadrature domains of regular shapes such as circles or squares.
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The numerical solution of high dimensional variable-order time fractional diffusion equation via the singular boundary method.
TL;DR: In this paper, a mesh-free method based on the singular boundary method (SBM) and dual reciprocity method (DRM) in concomitant with finite difference scheme is proposed on three-dimensional arbitrary geometry.
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The meshless approach for solving 2D variable-order time-fractional advection–diffusion equation arising in anomalous transport
TL;DR: The use of the radial basis function as shape function brings many advantages for proposal numerical method in terms of improved accuracy by setting an appropriate shape parameter and applied for solving high-dimensional models without extra cost.