Payam Mokhtary

Orcid: 0000-0001-8282-0878

Affiliations:
  • Sahand University of Technology, Tabriz, Iran


According to our database1, Payam Mokhtary authored at least 13 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

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Bibliography

2024
Operational Jacobi Galerkin method for a class of cordial Volterra integral equations.
Numer. Algorithms, June, 2024

2023
Mixed Poisson-Gaussian noise reduction using a time-space fractional differential equations.
Inf. Sci., November, 2023

2022
Non-linear System of Multi-order Fractional Differential Equations: Theoretical Analysis and a Robust Fractional Galerkin Implementation.
J. Sci. Comput., 2022

A fractional coupled system for simultaneous image denoising and deblurring.
Comput. Math. Appl., 2022

2021
A new fractional collocation method for a system of multi-order fractional differential equations with variable coefficients.
J. Comput. Appl. Math., 2021

A new recursive spectral Tau method on system of generalized Abel-Volterra integral equations.
CoRR, 2021

2020
A computational approach for the non-smooth solution of non-linear weakly singular Volterra integral equation with proportional delay.
Numer. Algorithms, 2020

An Efficient Formulation of Chebyshev Tau Method for Constant Coefficients Systems of Multi-order FDEs.
J. Sci. Comput., 2020

2019
Numerical solution of a class of fractional order integro-differential algebraic equations using Müntz-Jacobi Tau method.
J. Comput. Appl. Math., 2019

2016
Numerical treatment of a well-posed Chebyshev Tau method for Bagley-Torvik equation with high-order of accuracy.
Numer. Algorithms, 2016

2015
Reconstruction of exponentially rate of convergence to Legendre collocation solution of a class of fractional integro-differential equations.
J. Comput. Appl. Math., 2015

2011
The L2-convergence of the Legendre spectral Tau matrix formulation for nonlinear fractional integro differential equations.
Numer. Algorithms, 2011

2008
"Rescale and modify" implementation of IRKS methods.
Numer. Algorithms, 2008


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