Function extendr_api::prelude::sparse::linalg::qr::supernodal::factorize_supernodal_numeric_qr
pub fn factorize_supernodal_numeric_qr<'a, I, E>(
householder_row_indices: &'a mut [I],
tau_blocksize: &'a mut [I],
householder_nrows: &'a mut [I],
householder_ncols: &'a mut [I],
r_values: <<E as Entity>::Group as ForType>::FaerOf<&'a mut [<E as Entity>::Unit]>,
householder_values: <<E as Entity>::Group as ForType>::FaerOf<&'a mut [<E as Entity>::Unit]>,
tau_values: <<E as Entity>::Group as ForType>::FaerOf<&'a mut [<E as Entity>::Unit]>,
AT: SparseColMatRef<'_, I, E>,
col_perm: Option<PermRef<'_, I>>,
symbolic: &'a SymbolicSupernodalQr<I>,
parallelism: Parallelism<'_>,
stack: PodStack<'_>,
) -> SupernodalQrRef<'a, I, E>where
I: Index,
E: ComplexField,
Expand description
Computes the numerical QR factorization of $A$.
householder_row_indices
must have lengthsymbolic.householder().len_householder_row_indices()
tau_blocksize
must have lengthA.ncols()
.householder_nrows
must have lengthA.ncols()
.householder_ncols
must have lengthA.ncols()
.r_values
must have lengthsymbolic.r_adjoint().len_values
.householder_values
must have lengthsymbolic.householder().length_householder_values()
.tau_values
must have lengthsymbolic.householder().len_tau_values()
.
ยงWarning
- Note that the matrix takes as input
A.transpose()
, notA
.