Comparison of 4 numerical solvers for stiff and hybrid systems simulation

L. Liu, Felix Felgner, Georg Frey
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引用次数: 23

Abstract

Numerical simulation of stiff and hybrid systems is widely used in various engineering domains. Numerical solvers, originally designed for purely continuous problems, are not sufficient for these systems. Modern simulation environments provide necessary modifications and extensions to solve the problem. The implementation details of solvers and run time systems greatly affect the performance of simulations regarding accuracy, velocity of simulation, compactness of results, and efficiency. Since no all-powerful solver exists, we assess four popular solvers (DASSL, LSODAR, DOPRI5, RADAU IIA), included in the all-purpose simulator Dymola® for different problems with continuous, stiff, and hybrid behavior. Key traits, including the number of steps, accuracy, CPU time and the event handling capability, are examined and advice for solver selection is given.
刚性与混合系统仿真4种数值求解方法的比较
刚性系统和混合系统的数值模拟已广泛应用于各个工程领域。最初为纯连续问题设计的数值求解器对这些系统来说是不够的。现代仿真环境为解决这一问题提供了必要的修改和扩展。求解器和运行时系统的实现细节在很大程度上影响模拟的准确性、模拟速度、结果的紧凑性和效率。由于不存在全能的求解器,我们评估了四种流行的求解器(DASSL, LSODAR, DOPRI5, RADAU IIA),包括在通用模拟器Dymola®中,用于不同的连续,僵硬和混合行为问题。分析了算法的关键特征,包括步数、精度、CPU时间和事件处理能力,并给出了求解器选择的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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