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首页> 外文期刊>Journal of Computational Methods in Sciences and Engineering >Impact analysis of sampling numbers on the method of snapshots
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Impact analysis of sampling numbers on the method of snapshots

机译:抽样数量对快照方法的影响分析

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摘要

The method of snapshots is an efficient feature extracting method of processing data for distributed parameter systems. To enhance the performance of the method of snapshots, the concept of POD angle is introduced in this paper. The impact of sampling numbers imposed on the calculation of the method of snapshots is analyzed, and then the calculating procedure of POD angle is presented. In the studied heat transfer process in a thin rod, the method of snapshots with different sampling numbers is investigated using proposed method. The results show that the relative error of eigenfuction is 0.24%, and the relative error of data reconstruction is 0.27%. The scale of data decreases by 96.46% and 98.21%, respectively. Furthermore, the computing time decreases by 12.87% and 44.69%, respectively. Therefore, the complexity and difficulty of the method of snapshots are both reduced by using the method proposed in this paper.
机译:快照方法是一种为分布式参数系统处理数据的有效特征提取方法。为了提高快照方法的性能,本文引入了POD角度的概念。分析了采样次数对快照方法计算的影响,提出了POD角度的计算过程。在研究细棒传热过程中,采用提出的方法研究了具有不同采样数的快照的方法。结果表明,本征函数的相对误差为0.24%,数据重构的相对误差为0.27%。数据规模分别减少了96.46%和98.21%。此外,计算时间分别减少了12.87%和44.69%。因此,通过使用本文提出的方法,降低了快照方法的复杂性和难度。

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