The smallest singular value anomaly: The reasons behind sharp anomaly
Let AA be an arbitrary matrix in which the number of rows, mm, is considerably larger than the number of columns, nn. Let the submatrix Ai,i=1,…,m{A}_{i},\hspace{0.33em}i=1,\ldots ,m, be composed from the first ii rows of AA, and let βi{\beta }_{i} denote the smallest singular value of Ai{A}_{i}. Re...
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Format: | Article |
Language: | English |
Published: |
De Gruyter
2024-04-01
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Series: | Special Matrices |
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Online Access: | https://doi.org/10.1515/spma-2024-0002 |