pygsti.tools.matrixtools.pinv_of_matrix_with_orthogonal_columns#
- pinv_of_matrix_with_orthogonal_columns(m)#
Return the matrix “pinv_m” so m @ pinvm and pinv_m @ m are orthogonal projectors onto subspaces of dimension rank(m).
- Parameters:
m (numpy.ndarray)
- Returns:
pinv_m
- Return type:
numpy.ndarray