Harendra Singh

Harendra Singh


Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 December 2017 in Numerical Methods for Partial Differential Equations
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HSHarendra Singh
Harendra Singh
HSH.M. Srivastava
H.M. Srivastava
Devendra KumarDevendra Kumar
Devendra Kumar

20 April 2020 in Applied Sciences
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HSHarendra Singh
Harendra Singh
Hari Mohan SrivastavaHari Mohan Srivastava
Hari Mohan Srivastava
In the present paper, we numerically simulate fractional-order model of the Bloch equation by using the Jacobi polynomials. It arises in chemistry, physics and nuclear magnetic resonance (NMR). It also arises in magnetic resonance imaging (MRI) and electron spin resonance (ESR). It is used for purity determination, provided that the molecular weight and structure of the compound is known. It can also be used for structural determination. By the study of NMR, chemists can determine the structure of many compounds. The obtained numerical results are compared and simulated with the known solutions. Accuracy of the proposed method is shown by providing tables for absolute errors and root mean square errors. Different orders of the time-fractional derivatives results are illustrated by using figures.

27 July 2020 in International Journal of Dynamics and Control
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HSHarendra Singh
Harendra Singh

1 January 2021 in Chaos, Solitons & Fractals
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HSHarendra Singh
Harendra Singh
Dumitru BaleanuDumitru Baleanu
Dumitru Baleanu
Jagdev SinghJagdev Singh
Jagdev Singh
HDHemen Dutta
Hemen Dutta

11 March 2020 in Mathematical Methods in the Applied Sciences
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HSHarendra Singh
Harendra Singh
FGFahimeh Akhavan Ghassabzadeh
Fahimeh Akhavan Ghassabzadeh
ETEMRAN TOHIDI
EMRAN TOHIDI
Carlo CattaniCarlo Cattani
Carlo Cattani

30 April 2020 in Frontiers in Physics
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HSHarendra Singh
Harendra Singh
Hari Mohan SrivastavaHari Mohan Srivastava
Hari Mohan Srivastava
In this article, we present the Jacobi spectral colocation method to solve the fractional model of Liénard and Duffing equations with the Liouville–Caputo fractional derivative. These equations are the generalization of the spring–mass system equation and describe the oscillating circuit. The main reason for using this technique is high accuracy and low computational cost compared to some other methods. The main solution behaviors of these equations are due to fractional orders, which are explained graphically. The convergence analysis of the proposed method is also provided. A comparison is made between the exact and approximate solutions.