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scipy.linalg.interpolative.

# estimate_spectral_norm_diff

scipy.linalg.interpolative.estimate_spectral_norm_diff(A, B, its=20, rng=None)

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

  Parameters:
    A `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 `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).

    itsint, 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.

  Returns:
    float

      Spectral norm estimate of matrix difference.