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A meshless technique based on the local radial basis functions collocation method for solving parabolic-parabolic Patlak-Keller-Segel chemotaxis model

机译:基于局部径向基函数配置法的无网格技术求解抛物线-抛物线型Patlak-Keller-Segel趋化模型

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In this paper local radial basis functions (LRBFs) collocation method is proposed for solving the (Patlak-) Keller-Segel model. We use the Crank-Nicolson difference scheme for the time derivative to obtain a finite difference scheme with respect to the time variable for the Keller-Segel model. Then we use the local radial basis functions (LRBFs) collocation method to approximate the spatial derivative. We obtain the numerical results for the mentioned model. As we know, recently some approaches presented for preventing the blow up of the cell density. In the current paper we use the multiquadric (MQ) radial basis function. The aim of this paper is to show that the meshless methods based on the local RBFs collocation approach are also suitable for solving models that have the blow up of the cell density. Also, six test problems are given that show the acceptable accuracy and efficiency of the proposed schemes.
机译:本文提出了局部径向基函数(LRBFs)配置方法来求解(Patlak-)Keller-Segel模型。对于时间导数,我们使用Crank-Nicolson差分方案,以获得关于Keller-Segel模型的时间变量的有限差分方案。然后,我们使用局部径向基函数(LRBF)配置方法来近似空间导数。我们获得上述模型的数值结果。众所周知,最近提出了一些防止细胞密度爆炸的方法。在当前论文中,我们使用多二次方(MQ)径向基函数。本文的目的是表明基于局部RBF搭配方法的无网格方法也适用于求解细胞密度爆炸的模型。此外,给出了六个测试问题,这些问题表明了所提出方案的可接受的准确性和效率。

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