scipy.linalg.lapack.slarf#

scipy.linalg.lapack.slarf(v, tau, c, work, side='L', incv=1, overwrite_c=0) = <flapack function slarf>#

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

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

Parameters:

vndarray: 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'.
taufloat: The reflector scalar.
cndarray: Matrix to apply the reflector to.
workndarray: 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.
sidestr, optional: 'L' for H @ c, 'R' for c @ H. Default is 'L'.
incvint, optional: Stride through v. Default is 1.
overwrite_cint, optional: If nonzero, c may be overwritten in place. Default is 0.

Returns: