On solving systems of multi-pantograph equations via spectral tau method
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DOI: 10.1016/j.amc.2017.10.014
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References listed on IDEAS
- Ahmad, Iftikhar & Mukhtar, Areej, 2015. "Stochastic approach for the solution of multi-pantograph differential equation arising in cell-growth model," Applied Mathematics and Computation, Elsevier, vol. 261(C), pages 360-372.
- Cheng, Xue & Chen, Zhong & Zhang, Qingpu, 2015. "An approximate solution for a neutral functional–differential equation with proportional delays," Applied Mathematics and Computation, Elsevier, vol. 260(C), pages 27-34.
- Nili Ahmadabadi, M. & Laeli Dastjerdi, H., 2016. "Tau approximation method for the weakly singular Volterra–Hammerstein integral equations," Applied Mathematics and Computation, Elsevier, vol. 285(C), pages 241-247.
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Cited by:
- Izadi, Mohammad & Srivastava, H.M., 2021. "An efficient approximation technique applied to a non-linear Lane–Emden pantograph delay differential model," Applied Mathematics and Computation, Elsevier, vol. 401(C).
- Khalid, Nauman & Abbas, Muhammad & Iqbal, Muhammad Kashif, 2019. "Non-polynomial quintic spline for solving fourth-order fractional boundary value problems involving product terms," Applied Mathematics and Computation, Elsevier, vol. 349(C), pages 393-407.
- Sabir, Zulqurnain & Raja, Muhammad Asif Zahoor & Guirao, Juan L.G. & Saeed, Tareq, 2021. "Meyer wavelet neural networks to solve a novel design of fractional order pantograph Lane-Emden differential model," Chaos, Solitons & Fractals, Elsevier, vol. 152(C).
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Keywords
Jacobi polynomials; Spectral tau method; Pantograph differential equations; System of differential equations;All these keywords.
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