Timeline for Finding the smallest eigenvalues of a large, but structured, matrix
Current License: CC BY-SA 3.0
2 events
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| Aug 25, 2012 at 13:37 | comment | added | Federico Poloni | In other words, use ARPACK on $M-\alpha ww^T$, where $w$ is the eigenvector corresponding to zero and $\alpha$ is a constant. This "moves away" the zero eigenvalue, but leaves every other one in place. | |
| Aug 25, 2012 at 0:36 | history | answered | tergi | CC BY-SA 3.0 |