Reza Pourgholi

Orcid: 0000-0003-4111-5130

Affiliations:
  • Damghan University, Iran


According to our database1, Reza Pourgholi authored at least 13 papers between 2013 and 2023.

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

Timeline

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Bibliography

2023
A new improved teaching-learning-based optimization (ITLBO) algorithm for solving nonlinear inverse partial differential equation problems.
Comput. Appl. Math., March, 2023

2022
An inverse problem for the damped generalized regularized long wave equation.
Int. J. Comput. Math., 2022

2020
Applications of two numerical methods for solving inverse Benjamin-Bona-Mahony-Burgers equation.
Eng. Comput., 2020

2019
The inverse solution of the coupled nonlinear reaction-diffusion equations by the Haar wavelets.
Int. J. Comput. Math., 2019

2018
The fully-implicit finite difference method for solving nonlinear inverse parabolic problems with unknown source term.
Int. J. Comput. Sci. Math., 2018

Numerical techniques for solving system of nonlinear inverse problem.
Eng. Comput., 2018

2017
Tau approximate solution of weakly singular Volterra integral equations with Legendre wavelet basis.
Int. J. Comput. Math., 2017

Application of quintic B-splines collocation method for solving inverse Rosenau equation with Dirichlet's boundary conditions.
Eng. Comput., 2017

2015
A numerical method based on the Adomian decomposition method for identifying an unknown source in non-local initial-boundary value problems.
Int. J. Math. Model. Numer. Optimisation, 2015

A numerical approach for solving an inverse parabolic problem with unknown control function.
Int. J. Comput. Sci. Eng., 2015

2014
A numerical algorithm for solving an inverse semilinear wave problem.
Int. J. Comput. Sci. Math., 2014

2013
Resolution of an inverse Problem by Haar Basis and Legendre Wavelet Methods.
Int. J. Wavelets Multiresolution Inf. Process., 2013

Real valued genetic algorithm for solving an inverse hyperbolic problem: multi-core parallelisation approach.
Int. J. Math. Model. Numer. Optimisation, 2013


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