对偶矩阵的加权摩尔-彭罗斯求逆及其应用

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-10-24 DOI:10.1016/j.amc.2024.129145
Haifeng Ma , Wen Wang , Predrag S. Stanimirović
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引用次数: 0

摘要

本文研究了对偶矩阵的加权摩尔-彭罗斯逆(W-MP-D 逆)的特征。首先,我们介绍了对偶矩阵集合上的加权紧凑对偶奇异值分解(WCDSVD)。利用 WCDSVD 给出了对偶矩阵集合上 W-MP-D 逆存在的几个等价条件和几个显式表示。最后,给出了驻波(s 波)和行波(t 波)的模拟以及该模拟在大脑 t 波识别中的应用。
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Weighted Moore-Penrose inverses for dual matrices and its applications
Characteristics of weighted Moore-Penrose inverses for dual matrices (W-MP-D inverse) are studied in this investigation. First, we introduce the weighted compact dual singular value decomposition (WCDSVD) on the set of dual matrices. A few equivalent conditions for the existence of the W-MP-D inverse on the set of dual matrices and several explicit representations are given using WCDSVD. Finally, the simulation of standing waves (s-waves) and traveling waves (t-waves) and the application of that simulation in the t-waves identification in the brain are given.
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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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