- #1
TheOldHag
- 44
- 3
I'm looking for a concise description of an algorithm for low-rank approximation via SVD. I've seen a number of articles referring to Lanczos method and finding eigenvalues but nothing going all the way to determining all the matrices involved in the low-rank SVD of a given matrix.
Any pointers is appreciated.
Any pointers is appreciated.