Abstract
In this paper, we propose an error analysis of the generalized low-rank approximation, which is a generalization of the classical approximation of a matrix A ∈ Rm×n by a matrix of a rank at most r, where r ≤ min{m, n}.
Original language | English |
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Pages (from-to) | 544-548 |
Number of pages | 5 |
Journal | Electronic Journal of Linear Algebra |
Volume | 37 |
DOIs | |
State | Published - 2021 |
Keywords
- Error analysis
- Frobenius norm
- Generalized low-rank approximation
- Pseudoinverse
- SVD