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首页> 外文期刊>Journal of Computational Physics >Fractional Adams-Bashforth/Moulton methods: An application to the fractional Keller-Segel chemotaxis system
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Fractional Adams-Bashforth/Moulton methods: An application to the fractional Keller-Segel chemotaxis system

机译:分数阶Adams-Bashforth / Moulton方法:在分数Keller-Segel趋化系统中的应用

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We first formulate a fractional class of explicit Adams-Bashforth (A-B) and implicit Adams-Moulton (A-M) methods of first- and second-order accuracy for the time-integration of (C)(0)D(t)(tau)u(x, t) = g(t; u), tau is an element of(0, 1], where D-C(0)t(tau) denotes the fractional derivative in the Caputo sense. In this fractional setting and in contrast to the standard Adams methods, an extra history load term emerges and the associated weight coefficients are tau-dependent. However when tau = 1, the developed schemes reduce to the well-known A-B and A-M methods with standard coefficients. Hence, in terms of scientific computing, our approach constitutes a minimal modification of the existing Adams libraries. Next, we develop an implicit-explicit (IMEX) splitting scheme for linear and nonlinear fractional PDEs of a general advection-reaction-diffusion type, and we apply our scheme to the time-space fractional Keller-Segel chemotaxis system. In this context, we evaluate the nonlinear advection term explicitly, employing the fractional A-B method in the prediction step, and we treat the corresponding diffusion term implicitly in the correction step using the fractional A-M scheme. Moreover, we perform the corresponding spatial discretization by employing an efficient and spectrally-accurate fractional spectral collocation method. Our numerical experiments exhibit the efficiency of the proposed IMEX scheme in solving nonlinear fractional PDEs. (C) 2016 Elsevier Inc. All rights reserved.
机译:我们首先为(C)(0)D(t)(tau)的时间积分建立一阶显式一阶和二阶精度的显式Adams-Bashforth(AB)和隐式Adams-Moulton(AM)方法u(x,t)= g(t; u),tau是(0,1]的元素,其中DC(0)t(tau)表示Caputo意义上的分数导数。相对于标准的Adams方法,出现了一个额外的历史负荷项,并且相关的权重系数与tau有关,但是当tau = 1时,已开发的方案简化为众所周知的具有标准系数的AB和AM方法。科学计算,我们的方法是对现有Adams库的最小修改,接下来,我们开发了对流-反应-扩散类型的线性和非线性分数PDE的隐式-显性(IMEX)拆分方案,并将其应用于时空分数Keller-Segel趋化系统在这种情况下,我们评估了非线性ad在预测步骤中采用分数A-B方法显式地确定对流项,并且在校正步骤中使用分数A-M方案隐式处理对应的扩散项。此外,我们通过采用有效的和光谱准确的分数光谱配置方法来执行相应的空间离散化。我们的数值实验显示了提出的IMEX方案在解决非线性分数PDE方面的效率。 (C)2016 Elsevier Inc.保留所有权利。

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