$U
$U : array
Internal storage of U.
For an m-by-n matrix A with m >= n, the singular value decomposition is an m-by-n orthogonal matrix U, an n-by-n diagonal matrix S, and an n-by-n orthogonal matrix V so that A = U*S*V'.
The singular values, sigma[$k] = S[$k][$k], are ordered so that sigma[0] >= sigma[1] >= ... >= sigma[n-1].
The singular value decompostion always exists, so the constructor will never fail. The matrix condition number and the effective numerical rank can be computed from this decomposition.
$U : array
Internal storage of U.
$V : array
Internal storage of V.
$s : array
Internal storage of singular values.
$m : int
Row dimension.
$n : int
Column dimension.