## bbnoisy

This function is not yet fully documented. This is a transcript of
the text-formatted help.

bbnoisy Create a noise version of a black-box operator.
BB=bbnoisy(BB1,L) creates a version of the BB1 where a
matrix-vector product is perturbed by a random vector
of norm L.
If L=[L1,L2] the perturbation is a sum of uncorrelated
noise norm with norm L1 and L2*norm(R), where R is the
result of the computation. This can be used to model
an operator with a high relative accuracy.
BB=bbnoisy(BB1,L,LH) uses L as parameters for A*X and
LH as parameters for A'*X. This models an asymmetry
in the accuracy of the products.
This function can be used to test the reponse of iterative
routines facing a limited accuracy of the product routines.
See also bbtauest, bbcompare.

bbmultqhbbparcel