Singular Value Decomposition

J. Caltenco, J. López-Bonilla, B. Carvajal-Gámez, P. Lam-Estrada
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引用次数: 10

Abstract

We study the SVD of an arbitrary matrix , especially its subspaces of activation, which leads in natural manner to pseudoinverse of Moore-Bjenhammar-Penrose. Besides, we analyze the compatibility of linear systems and the uniqueness of the corresponding solution, and our approach gives the Lanczos classification for these systems.
奇异值分解
我们研究了任意矩阵的奇异值分解,特别是它的激活子空间的奇异值分解,它自然地导致了Moore-Bjenhammar-Penrose的伪逆。此外,我们还分析了线性系统的相容性和解的唯一性,并给出了这些系统的Lanczos分类。
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