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Error Estimations for Flow Characterization With Numerical and Analytical Solutions

机译:用数值和分析解决方案进行流量表征的误差估计

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摘要

Use of radial basis functions(RBFs) in the numerical solution of partial differential equations has gained popularity as it is meshless and can readily be extended to multidimensional problems. RBFs have been used in different context and emerged as a potential alternative for numerical solution of PDEs. In this article, a Flow Between Parallel Plates problem was solved using a Multiquadric Radial Basis Function Collocation Method (MQ-RBFCM), then, the results were compared with the analytic ones and the root mean square of the errors between the model and analytic results were calculated. Numerical results are presented for 5 different cases, where the number of inputs or definitions are increased to see whether changing the number of points makes the results better or not. Also, the absolute errors between the results were calculated to have a 3D model of the error rates and this has proven for which cases the MQ-RBFCM are better. As a result, RBF is shown to produce accurate results while requiring a much-reduced effort in problem preparation in comparison to traditional numerical methods.
机译:在偏微分方程的数值解中使用径向基函数(RBF)的流行度,因为它是无网格的并且可以容易地扩展到多维问题。 RBFS已被用于不同的上下文中,并且作为PDE的数值解的潜在替代方案。在本文中,使用多通径向基函数搭配方法(MQ-RBFCM)解决了并联板问题之间的流程,然后将结果与分析结果进行比较,并且模型与分析结果之间的误差的根均线计算出来。呈现数值结果5个不同的情况,其中输入或定义的数量增加到改变点数是否更好地使得结果变得更好。此外,计算结果之间的绝对误差是具有错误率的3D模型,这已经证明了MQ-RBFCM更好。结果,RBF被示出为产生准确的结果,同时需要与传统的数值方法相比,在问题准备中需要大量努力。

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