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Symposium: Numerical Methods for Stiff Problems

机译:研讨会:僵硬问题的数值方法

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摘要

The goal of the minisymposium is to consider some aspects related to the numerical treatment of stiff problems, with particular application to partial differential equations. Stiff problems arise in many contexts, and there is a vast literature of implicit schemes that are able to capture the solution of systems of differential equations, without fully resolve the smallest time scale of the problem. When a system comes from the discretization of an evolutionary partial differential equation, new interesting probelms arise. For exmple, the stiffnes of the problem may be space dependent, and standard discretization based on a method of line appeoach may become inefficient. In many cases, the stiffness may be expressed by a small parameter. Formal asymptotic of the original equation in the stiffness parameter gives an indication of the behavior of the equation for small values of such parameter. It is important that the numerical schemes are able to capture the asymptotic behavior of the solution. This is the case, for example, of singly perturbed problems. Two particular problems coming from partial differential equations will be considered. The first one concerns detonation problems, in which the challenge is to construct underresolved schemes (in space and time) which are able to capture the correct behavior fo the solution even for small relaxation time. The second problem concerns the construction of IMEX Runge-Kutta schemes applied to hyperbolic systems with diffusive relaxation, which are able to capture the diffusive limit of the system without the classical stability restriction of explicit schemes for the diffusion equation, restriction which is typical of the most recent approaches in the literature for this kind of problems.
机译:小型核心的目标是考虑与刚性问题的数值治疗有关的一些方面,特别适用于部分微分方程。在许多背景下出现僵硬的问题,并且存在绝对方案的巨大文学,能够捕获微分方程系统的解决方案,而无需完全解决问题的最小时间比例。当系统来自进化部分微分方程的离散化时,产生新的有趣概率。对于Exmple,问题的硬件可能是空间依赖性,并且基于线索的方法的标准离散化可能变得效率低。在许多情况下,刚度可以由小参数表示。刚度参数中原始方程的正式渐近,给出了该等参数的小值的等式的行为的指示。重要的是,数值方案能够捕获解决方案的渐近行为。例如,这种情况是单独扰动的问题。将考虑部分微分方程的两个特定问题。第一个问题涉及爆炸问题,其中挑战是在脱离溶液的情况下构建能够捕获溶液的正确行为的较低的行为。第二个问题涉及应用于具有扩散弛豫的双曲线系统的IMEX跑步方案的构建,其能够捕获系统的扩散极限而没有对扩散方程的明确方案的经典稳定性限制,其典型的限制这种问题的文献中最近的最新方法。

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