Finding a low-rank basis in a matrix subspace
For a given matrix subspace, how can we find a basis that consists of low-rank matrices? This is a generalization of the sparse vector problem. It turns out that when the subspace is spanned by rank-1 matrices, the matrices can be obtained by the tensor CP decomposition. For the higher rank case, th...
| Main Authors: | , , |
|---|---|
| Formato: | Journal article |
| Idioma: | English |
| Publicado: |
Springer Verlag
2016
|