`scipy.linalg._flapack:slarf`

Signature

def slarf(v, tau, c, work, side = L, incv = 1, overwrite_c = 0)

Apply an elementary reflector to a matrix (LAPACK slarf).

Computes H @ c or c @ H for the reflector H described by v and tau.

v : ndarray: The reflector vector, 1 + (order - 1) * abs(incv) entries, where the order is the row count of c when side is 'L' and its column count when 'R'.
tau : float: The reflector scalar.
c : ndarray: Matrix to apply the reflector to.
work : ndarray: Workspace, length n when side is 'L' and m when 'R'. This is a required argument only for backwards compatibility -- the .pyf says so itself -- and would otherwise be allocated internally.
side : str, optional: 'L' for H @ c, 'R' for c @ H. Default is 'L'.
incv : int, optional: Stride through v. Default is 1.
overwrite_c : int, optional: If nonzero, c may be overwritten in place. Default is 0.