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首页> 外文期刊>SIAM Journal on Scientific Computing >LINEARLY IMPLICIT IMEX RUNGE-KUTTA METHODS FOR A CLASS OF DEGENERATE CONVECTION-DIFFUSION PROBLEMS
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LINEARLY IMPLICIT IMEX RUNGE-KUTTA METHODS FOR A CLASS OF DEGENERATE CONVECTION-DIFFUSION PROBLEMS

机译:一类退化对流扩散问题的线性隐式IMEX RUNGE-KUTTA方法

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Multispecies kinematic flow models with strongly degenerate diffusive corrections give rise to systems of nonlinear convection-diffusion equations of arbitrary size. Applications of these systems include models of polydisperse sedimentation and multiclass traffic flow. Implicit-explicit (IMEX) Runge-Kutta (RK) methods are suitable for the solution of these convection-diffusion problems since the stability restrictions, coming from the explicitly treated convective part, are much less severe than those that would be deduced from an explicit treatment of the diffusive term. These schemes usually combine an explicit RK scheme for the time integration of the convective part with a diagonally implicit one for the diffusive part. In [R. Burger, P. Mulet, and L. M. Villada, SIAM J. Sci. Comput., 35 (2013), pp. B751-B777] a scheme of this type is proposed, where the nonlinear and nonsmooth systems of algebraic equations arising in the implicit treatment of the degenerate diffusive part are solved by smoothing of the diffusion coefficients combined with a Newton-Raphson method with line search. This nonlinearly implicit method is robust but associated with considerable effort of implementation and possibly CPU time. To overcome these shortcomings while keeping the advantageous stability properties of IMEX-RK methods, a second variant of these methods is proposed in which the diffusion terms are discretized in a way that more carefully distinguishes between stiff and nonstiff dependence, such that in each time step only a linear system needs to be solved still maintaining high order accuracy in time, which makes these methods much simpler to implement. In a series of examples of polydisperse sedimentation and multiclass traffic flow, it is demonstrated that these new linearly implicit IMEX-RK schemes approximate the same solutions as the nonlinearly implicit versions, and in many cases these schemes are more efficient.
机译:具有严重退化的扩散校正的多物种运动模型产生了任意大小的非线性对流扩散方程组。这些系统的应用包括多分散沉降和多类交通流模型。隐式-显性(IMEX)Runge-Kutta(RK)方法适合解决这些对流-扩散问题,因为来自显式处理对流部分的稳定性限制远不如显式推导的稳定性严格。扩散项的处理。这些方案通常将用于对流部分时间积分的显式RK方案与用于扩散部分的对角隐式方案组合在一起。在[R. Burger,P. Mulet和L.M. Villada,SIAM J. Sci。 [Comput。,35(2013),pp。B751-B777]提出了一种类型的方案,其中通过退化扩散系数的组合来解决退化退化扩散部分的隐式处理中产生的非线性方程组和非光滑代数方程组。牛顿-拉夫森(Newton-Raphson)方法进行线搜索。这种非线性隐式方法虽然很健壮,但是与实现工作量和可能的CPU时间相关。为了克服这些缺点,同时保持IMEX-RK方法的有利稳定性,提出了这些方法的第二种变体,其中以更仔细地区分刚性和非刚性依赖性的方式离散化了扩散项,从而在每个时间步长中仅需要解决一个线性系统,仍能及时保持高阶精度,这使得这些方法的实现更加简单。在多分散沉降和多类交通流的一系列示例中,证明了这些新的线性隐式IMEX-RK方案近似于与非线性隐式版本相同的解决方案,并且在许多情况下,这些方案更为有效。

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