`scipy.linalg.interpolative:estimate_spectral_norm_diff`

Signature

def estimate_spectral_norm_diff ( A , B , its = 20 , rng = None )

Estimate spectral norm of the difference of two matrices by the randomized power method.

A : :class:`scipy.sparse.linalg.LinearOperator`: First matrix given as a scipy.sparse.linalg.LinearOperator with the matvec and rmatvec methods (to apply the matrix and its adjoint).
B : :class:`scipy.sparse.linalg.LinearOperator`: Second matrix given as a scipy.sparse.linalg.LinearOperator with the matvec and rmatvec methods (to apply the matrix and its adjoint).
its : int, optional: Number of power method iterations.
rng : `numpy.random.Generator`, optional: Pseudorandom number generator state. When rng is None, a new numpy.random.Generator is created using entropy from the operating system. Types other than numpy.random.Generator are passed to numpy.random.default_rng to instantiate a Generator. If rand is False, the argument is ignored.