Module supernodal 

supernodal factorization module

a supernodal factorization is one that processes the elements of the $QR$ factors of the input matrix by blocks, rather than by single elements. this is more efficient if the $QR$ factors are somewhat dense

Structs

SupernodalQrRef

$QR$ factors containing both the symbolic and numeric representations

SymbolicSupernodalHouseholder

symbolic structure of the householder reflections that compose $Q$

SymbolicSupernodalQr

symbolic structure of the $QR$ decomposition,

Functions

factorize_supernodal_numeric_qr

computes the numerical $QR$ factorization of $A$

factorize_supernodal_numeric_qr_scratch

computes the size and alignment of the workspace required to compute the numerical $QR$ factorization of the matrix whose structure was used to produce the symbolic structure

factorize_supernodal_symbolic_qr

computes the symbolic $QR$ factorization of a matrix $A$, given a fill-reducing column permutation, and the outputs of the pre-factorization steps

factorize_supernodal_symbolic_qr_scratch

computes the size and alignment of the workspace required to compute the symbolic $QR$ factorization of a matrix with dimensions (nrows, ncols)