matrix_ops.perturb_vectors

Perturb vectors is used to add a small random number to each element of a vector.

A random value is added sampled from a normal distribution scaled by eps.

Functions

perturb_vectors(vectors[, eps])

Perturb the vectors by adding a small random number to each element.

Module Contents

matrix_ops.perturb_vectors.perturb_vectors(vectors, eps=0.1)

Perturb the vectors by adding a small random number to each element.

Parameters:

  • vectors (list[numpy.ndarray]) – List of vectors to perturb.

  • eps (float) – Amount by which to perturb vectors.

Returns:

Resulting list of perturbed vectors by a factor of epsilon.

Return type:

list[numpy.ndarray]

Example:

>>> from toqito.matrix_ops import perturb_vectors
>>> import numpy as np
>>> vectors = [np.array([1.0, 2.0]), np.array([3.0, 4.0])]
>>> perturb_vectors(vectors, eps=0.1) 
array([[0.47687587, 0.87897065],
       [0.58715549, 0.80947417]])