Multiresolution algorithm for integral and boundary element equations in magnetic field computations

J.C. Yang, K. Shao, H. Yu, J. Lavers
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引用次数: 0

Abstract

Wavelet algorithm far integral equations was first studied in [I] . In magwetic field computations, previously plblished p a p utilized the standard scheme to gel a dense ma& and then applied the fast wavelet vansfonii to appvimate it to a sparse one. Therefore, one have to allccate extra metnon for the transformed matrix. Mnmver, the t r d d mabix did not appear to have beuer condition number lhan the original one. In this paper, we use wavelet functions as bath basis functions and weight funnions. It is a reasonable trade-olf between tbe entire domain and subsstiM basis functions. The whole dornais may be divided iiib several subsections, while in each subsection the higher resolution basis is incorporated, whsch preserve the merits of entire domain basis functions. A sparse matrix thus is derived
磁场计算中积分和边界元方程的多分辨率算法
对积分方程的小波算法进行了研究[1]。在磁场计算中,前人采用标准格式对密集磁场进行压缩,然后采用快速小波变换对稀疏磁场进行压缩。因此,我们必须为变换后的矩阵分配额外的量。然而,第一个模型的条件号似乎并没有比原始模型的条件号更低。本文采用小波函数作为基函数和权函数。它是整个定义域和子基函数之间的一种合理的折衷。将整个域基函数划分为若干小节,在每个小节中加入高分辨率基函数,从而保留了整个域基函数的优点。由此导出了一个稀疏矩阵
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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