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S

S. Karimi Vanani

Researcher at Islamic Azad University

Publications -  32
Citations -  664

S. Karimi Vanani is an academic researcher from Islamic Azad University. The author has contributed to research in topics: Nonlinear system & Adomian decomposition method. The author has an hindex of 14, co-authored 32 publications receiving 603 citations. Previous affiliations of S. Karimi Vanani include K.N.Toosi University of Technology.

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A new comparative study between homotopy analysis transform method and homotopy perturbation transform method on a semi infinite domain

TL;DR: The proposed HATM technique solves the nonlinear problems without using Adomian polynomials and He’s polynomes which can be considered as a clear advantage of this new algorithm over decomposition and the homotopy perturbation transform method (HPTM).
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Two new classes of optimal Jarratt-type fourth-order methods

TL;DR: The construction of some two-step without memory iterative classes of methods for finding simple roots of nonlinear scalar equations are investigated and it is observed that their contributions take less number of iterations than the compared existing methods of the same type to find more accurate approximate solutions of the nonlinear equations.
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Tau approximate solution of fractional partial differential equations

TL;DR: This study improves the algebraic formulation of the fractional partial differential equations (FPDEs) by using the matrix-vector multiplication representation of the problem and introduces a converter matrix for the construction of converted Chebyshev and Legendre polynomials.
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On the numerical solution of differential equations of Lane-Emden type

TL;DR: A numerical method which produces an approximate polynomial solution for solving Lane-Emden equations as singular initial value problems is presented and the high accuracy and efficiency of the proposed method is shown.
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Optimal Steffensen-type methods with eighth order of convergence

TL;DR: This paper proposes two classes of three-step without memory iterations based on the well known second-order method of Steffensen that agree with the optimality conjecture of Kung-Traub for providing multi-point iterations without memory.