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Solution of One-Dimensional Boundary Value Problem by Using Redlich-Kister Polynomial

机译:用ydlich-Kister多项式解决一维边值问题的解决方案

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In this paper, the Redlich-Kister (RK) polynomial interpolation have been formulated and analyzed in solving two-point boundary value problems (BVPs). The Redlich-Kister polynomial interpolation is tested with certain number of different sizes and compared with Cubic Trigonometry B-Spline Interpolation Method (CTBIM) and Power Polynomial (Power). To do that, the discretization process of BVPs by imposing the generated RK dense linear system. Then this dense linear system need to be solved via direct method to determine the approximate value of unknown coefficients in which these coefficient are used to form the RK approximation function. Based on the maximum norm (MaxNorm) and L2-Norm, the results showed that the solution by using the RK approximate function is the more accurate compared with CTBIM and Power methods.
机译:本文在求解两点边值问题(BVPS)时已经制定并分析了redlich-kister(Rk)多项式插值。 用一定数量的不同尺寸测试Redlich-Kister多项式插值,并与立方三角仪B样条插值方法(CTBIM)和功率多项式(功率)进行比较。 为此,通过施加产生的RK致密线性系统来实现BVP的离散过程。 然后,需要通过直接方法来解决这种密集的线性系统,以确定这些系数用于形成RK近似函数的未知系数的近似值。 基于最大规范(MaxNorm)和L2-Norm,结果表明,通过使用RK近似功能的解决方案是与CTBIM和电力方法更准确。

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