The singular values of a matrix A are the positive square roots of
the eigenvalues of A· AT. So, if A is symmetric, the
singular values are the absolute values of the eigenvalues of A.
The SVL (or svl) command finds the singular values
of a matrix.
svl is a synonym for SVL.
Examples.
⎡ ⎣ | 0.365966190626,5.46498570422 | ⎤ ⎦ |
5.46498570422,0.365966190626 |
⎡ ⎣ | 5.0,3.0 | ⎤ ⎦ |
5,3 |