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Two spectral Legendre's derivative algorithms for Lane-Emden, Bratu equations, and singular perturbed problems
Applied Numerical Mathematics ( IF 2.8 ) Pub Date : 2021-07-12 , DOI: 10.1016/j.apnum.2021.07.006
M. Abdelhakem 1 , Y.H. Youssri 2
Affiliation  

This research aims to assemble two methodical spectral Legendre's derivative algorithms to numerically attack the Lane-Emden, Bratu's, and singularly perturbed type equations. We discretize the exact unknown solution as a truncated series of Legendre's derivative polynomials. Then, via tau and collocation methods for linear and nonlinear problems, respectively, we obtain linear/nonlinear systems of algebraic equations in the unknown expansion coefficients. Finally, with the aid of the Gaussian elimination technique in the linear case and Newton's iterative method for the non-linear case - with vanishing initial guess- we solve these systems to obtain the desired solutions. The stability and convergence analyses of the numerical schemes were studied in-depth. The schemes are convergent and accurate. Some numerical test problems are performed to verify the efficiency of the proposed algorithms.



中文翻译:

用于 Lane-Emden、Bratu 方程和奇异摄动问题的两种谱勒让德导数算法

本研究旨在组装两种有条理的谱勒让德导数算法,以数值攻击 Lane-Emden、Bratu 和奇异摄动型方程。我们将精确的未知解离散为勒让德导数多项式的截断级数。然后,分别通过线性和非线性问题的tau和搭配方法,我们得到未知展开系数下代数方程的线性/非线性系统。最后,借助线性情况下的高斯消元技术和非线性情况下的牛顿迭代方法(初始猜测消失),我们求解这些系统以获得所需的解。深入研究了数值方案的稳定性和收敛性分析。这些方案是收敛的和准确的。

更新日期:2021-07-20
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