首页> 外文期刊>Journal of wavelet theory and applications >Comparative Analysis Between Cubic and Quartic Non-Polynomial Spline Solutions for fourth-order two-Point BVPS
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Comparative Analysis Between Cubic and Quartic Non-Polynomial Spline Solutions for fourth-order two-Point BVPS

机译:四阶两点BVPS三次三次非多项式样条解的比较分析

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摘要

Fourth-order two-point boundary value problems (BVPs) were solved based on a discretization of cubic and quartic degree of non-polynomial spline general functions. The discretization process began with simple algebraic substitution in order to get the value of all constants and further simplified by replacing certain variables with finite difference method. At the end of this process, the general approximation equations for both degrees of splines were finally developed. To solve the problems iteratively, the single equation of fourth-order problems were first reduced to two separated equations of second-order problems by means of differentiation. Then, the general approximation equations obtained earlier were imposed into these two equations to form two systems of linear equations. After these corresponding linear systems were constructed, Quarter-Sweep Successive-Over Relaxation (QSSOR) method was implemented to solve the two linear systems at varied matrix sizes. In order to assess the performances of this proposed idea, Full-Sweep Successive-Over Relaxation (FSSOR) and Half-Sweep Successive-Over Relaxation (HSSOR) were also conducted. Finally, the performances were presented evidently in terms of iterations number, execution time and maximum absolute error. Based on the performances obtained, the quartic degree of non-polynomial spline was found to be superior compared to the cubic degree when solving the fourth-order two-point BVPs.
机译:基于非多项式样条函数的三次和四次度的离散化,解决了四阶两点边值问题。离散化过程从简单的代数替换开始,以便获得所有常数的值,并通过用有限差分法替换某些变量来进一步简化。在该过程的最后,最终建立了两个样条曲线的通用逼近方程。为了迭代地解决问题,首先通过微分将四阶问题的单个方程简化为两个分离的二阶问题方程。然后,将先前获得的一般逼近方程式应用到这两个方程式中,以形成两个线性方程组。在构造了这些相应的线性系统之后,实施了四分之一扫频连续过度松弛(QSSOR)方法,以求解矩阵尺寸不同的两个线性系统。为了评估此提议思想的性能,还进行了全扫描连续过度松弛(FSSOR)和半扫描连续过度松弛(HSSOR)。最后,从迭代次数,执行时间和最大绝对误差的角度,很明显地给出了性能。基于获得的性能,发现非多项式样条的四次度要优于三次四点两点BVP时的三次度。

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