Huber.norm¶
- Huber.norm(estimate=False, **kwargs)¶
Return the operator norm of this operator.
If this operator is non-linear, this should be the Lipschitz constant.
- Parameters:
- estimatebool
If true, estimate the operator norm. By default, it is estimated using
power_method_opnorm
, which is only applicable for linear operators. Subclasses are allowed to ignore this parameter if they can provide an exact value.
- Returns:
- normfloat
- Other Parameters:
- kwargs
If
estimate
is True, pass these arguments to thepower_method_opnorm
call.
Examples
Some operators know their own operator norm and do not need an estimate
>>> spc = odl.rn(3) >>> id = odl.IdentityOperator(spc) >>> id.norm(True) 1.0
For others, there is no closed form expression and an estimate is needed:
>>> spc = odl.uniform_discr(0, 1, 3) >>> grad = odl.Gradient(spc) >>> opnorm = grad.norm(estimate=True)