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Kourosh Parand

Researcher at Shahid Beheshti University

Publications -  210
Citations -  3819

Kourosh Parand is an academic researcher from Shahid Beheshti University. The author has contributed to research in topics: Collocation method & Nonlinear system. The author has an hindex of 32, co-authored 194 publications receiving 3293 citations. Previous affiliations of Kourosh Parand include University of Waterloo & Amirkabir University of Technology.

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An approximation algorithm for the solution of the nonlinear lane-emden type equations arising in astrophysics using hermite functions collocation method

TL;DR: A collocation method for solving some well-known classes of Lane–Emden type equations which are nonlinear ordinary differential equations on the semi-infinite domain based on a Hermite function collocation (HFC) method is proposed.
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Rational Legendre pseudospectral approach for solving nonlinear differential equations of Lane-Emden type

TL;DR: A pseudospectral technique is proposed to solve the Lane-Emden type equations on a semi-infinite domain based on rational Legendre functions and Gauss-Radau integration to solve a system of nonlinear algebraic equations.
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Rational Legendre Approximation for Solving some Physical Problems on Semi-Infinite Intervals

TL;DR: In this paper, a numerical technique for solving some physical problems on a semi-infinite interval is presented, which is based on a rational Legendre tau method and the operational matrices of derivative and product of rational linear Legendre functions are used to reduce the solution of these physical problems to the solutions of systems of algebraic equations.
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Numerical solution of nonlinear Volterra–Fredholm–Hammerstein integral equations via collocation method based on radial basis functions

TL;DR: This method is a combination of collocation method and radial basis functions with the differentiation process, using zeros of the shifted Legendre polynomial as the collocation points for the solution of nonlinear Volterra–Fredholm–Hammerstein integral equations.
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Rational chebyshev tau method for solving higherorder ordinary differential equations

TL;DR: In this article, an approximate method for solving higher-order ODEs is proposed based on a rational Chebyshev (RC) tau method, where the operational matrices of the derivative functions of the ODE are derived from the same matrix.