Zakieh Avazzadeh
Xi'an Jiaotong-Liverpool University
161 Papers
389 Citations
Zakieh Avazzadeh is an academic researcher from Xi'an Jiaotong-Liverpool University. The author has contributed to research in topics: Nonlinear system & Fractional calculus. The author has an hindex of 23, co-authored 113 publications. Previous affiliations of Zakieh Avazzadeh include Nanjing Normal University & Islamic Azad University.
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Papers
Barycentric Legendre interpolation method for solving nonlinear fractal-fractional Burgers equation
TL;DR: In this paper, a numerical method to approximate the solution of non-linear fractal-fractional Burgers equation is proposed, where the Atangana-Riemann-Liouville sense with Mittage-Leffler kernel is used.
Numerical modeling of the ion‐acoustic solitary waves arising in nonlinear dispersive system
TL;DR: In this article , a numerical scheme for the (2 + 1)-dimensional nonlinear Zakharov-Kuznetsov-Benjamin-Bona-Mahony equation (ZK-BBME) was proposed.
Numerical solution of variable-order space-time fractional KdV–Burgers–Kuramoto equation by using discrete Legendre polynomials
TL;DR: In this article, a new version of the nonlinear space-time fractional KdV-Burgers-Kuramoto equation has been generated via the variable-order (VO) fractional derivatives defined in the Caputo type.
Chebyshev cardinal wavelets for nonlinear stochastic differential equations driven with variable-order fractional Brownian motion
TL;DR: In this paper, a computational approach based on the Chebyshev cardinal wavelets for a novel class of nonlinear stochastic differential equations characterized by the presence of variable-order fractional Brownian motion was proposed.
Numerical simulation of a degenerate parabolic problem occurring in the spatial diffusion of biological population
TL;DR: In this article, a localized meshless algorithm for calculating the solution of a nonlinear biological population model (NBPM) is proposed, which describes the dynamics in the biological population and may provide valuable predictions under different scenarios.