svd
svd(
A,options?):object
Defined in: svd.js:23
Thin SVD: A = U diag(s) V^T with U m×k, s length k, V n×k, k = min(m, n). Singular values are non-negative and descending.
Parameters
A
number[][]
Matrix (any shape)
options?
maxSweeps?
number
Maximum Jacobi sweeps
tol?
number
Column-pair orthogonality tolerance
Returns
object
s
s:
number[]
U
U:
number[][]
V
V:
number[][]