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Wavelets collocation methods for the numerical solution of elliptic BV problems

机译:椭圆BV问题数值解的小波配置方法

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摘要

Based on collocation with Haar and Legendre wavelets, two efficient and new numerical methods are being proposed for the numerical solution of elliptic partial differential equations having oscillatory and non-oscillatory behavior. The present methods are developed in two stages. In the initial stage, they are developed for Haar wavelets. In order to obtain higher accuracy, Haar wavelets are replaced by Legendre wavelets at the second stage. A comparative analysis of the performance of Haar wavelets collocation method and Legendre wavelets collocation method is carried out. In addition to this, comparative studies of performance of Legendre wavelets collocation method and quadratic spline collocation method, and meshless methods and Sinc-Galerkin method are also done. The analysis indicates that there is a higher accuracy obtained by Legendre wavelets decomposition, which is in the form of a multi-resolution analysis of the function. The solution is first found on the coarse grid points, and then it is refined by obtaining higher accuracy with help of increasing the level of wavelets. The accurate implementation of the classical numerical methods on Neumann's boundary conditions has been found to involve some difficulty. It has been shown here that the present methods can be easily implemented on Neumann's boundary conditions and the results obtained are accurate; the present methods, thus, have a clear advantage over the classical numerical methods. A distinct feature of the proposed methods is their simple applicability for a variety of boundary conditions. Numerical order of convergence of the proposed methods is calculated. The results of numerical tests show better accuracy of the proposed method based on Legendre wavelets for a variety of benchmark problems.
机译:基于与Haar和Legendre小波的搭配,提出了两种有效的和新的数值方法来求解具有振荡和非振荡行为的椭圆型偏微分方程的数值解。本方法分两个阶段开发。在初始阶段,它们是为Haar小波开发的。为了获得更高的精度,在第二阶段将Haar小波替换为Legendre小波。对Haar小波配置方法和Legendre小波配置方法的性能进行了比较分析。除此之外,还进行了勒让德小波配置方法和二次样条配置方法以及无网格方法和Sinc-Galerkin方法的性能比较研究。分析表明,Legendre小波分解具有较高的精度,这是该函数的多分辨率分析的形式。该解决方案首先在粗网格点上找到,然后通过提高小波级别来获得更高的精度来对其进行完善。已发现在Neumann边界条件下精确实施经典数值方法存在一定难度。这里已经表明,本方法可以容易地在诺伊曼的边界条件下实施,并且得到的结果是准确的。因此,与传统的数值方法相比,本方法具有明显的优势。所提出的方法的显着特征是它们对于各种边界条件的简单适用性。计算了所提出方法收敛的数值顺序。数值测试结果表明,基于Legendre小波的所提方法对于各种基准问题的准确性更高。

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