pub fn svd_dim_seed(
A: &dyn SMat,
dimensions: usize,
random_seed: u32,
) -> Result<SvdRec, SvdLibError>Expand description
SVD at desired dimensionality with supplied seed, calls svdLAS2 with the highlighted defaults
svdLAS2(A, dimensions, 0, &[-1.0e-30, 1.0e-30], 1.0e-6, random_seed)
ยงParameters
- A: Sparse matrix
- dimensions: Upper limit of desired number of dimensions, bounded by the matrix shape
- random_seed: A supplied seed
if > 0, otherwise an internal seed will be generated