指数算子的自适应应用

Markus Jürgens
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引用次数: 1

摘要

本文提出了一种近似算子指数的固有并行算法。该构造基于算子指数的积分表示,并且允许任意大的时间步长,与经典方案相比,这是一个主要优势。该算法的基础是有效地求解几个依赖于复杂参数的椭圆型问题。证明了这些椭圆型问题解的Besov正则性。这一结果表明了自适应方法应用于椭圆型问题的有效性,并给出了完整算法的复杂度估计。在数值实验中,通过与二阶单步法的比较,证明了该方法的有效性。
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Adaptive application of the operator exponential
In this article an inherently parallel algorithm to approximate the operator exponential is presented. The construction is based on the integral representation of the operator exponential and allows arbitrarily large time steps constituting a major advantage compared to classical schemes. The algorithm rests on the efficient solution of several elliptic problems depending on a complex parameter. We prove Besov regularity of the solutions to these elliptic problems. This result implies the efficiency of adaptive methods applied to the elliptic problems and leads to a complexity estimate for the complete algorithm. In the numerical experiments the efficiency of the new scheme is demonstrated by comparison to a single step method of second order.
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