On eigenvalue, singular value and norm of symmetric matrices

IF 1.1 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES Pub Date : 2023-01-01 DOI:10.47974/jios-1227
A. Ipek
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Abstract

Symmetric matrices play an important role in data science. In this paper, we present some new results on the eigenvalues, singular values, the spectral and Euclidean norms of real symmetric matrices in form  A = [xi + xj]ni, j = 1.
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对称矩阵的特征值、奇异值和范数
对称矩阵在数据科学中扮演着重要的角色。本文给出了形式为A = [xi + xj]ni, j = 1的实对称矩阵的特征值、奇异值、谱范数和欧氏范数的一些新结果。
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来源期刊
JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES
JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES INFORMATION SCIENCE & LIBRARY SCIENCE-
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21.40%
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88
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