L1Norm¶
-
class
odl.solvers.functional.default_functionals.
L1Norm
(*args, **kwargs)[source]¶ Bases:
odl.solvers.functional.default_functionals.LpNorm
The functional corresponding to L1-norm.
The L1-norm,
||x||_1
, is defined as the integral/sum of|x|
.Notes
If the functional is defined on an -like space, the -norm is defined as
If the functional is defined on an -like space, the -norm is defined as
The
proximal
factory allows using vector-valued stepsizes:>>> space = odl.rn(3) >>> f = odl.solvers.L1Norm(space) >>> x = space.one() >>> f.proximal([0.5, 1.0, 1.5])(x) rn(3).element([ 0.5, 0. , 0. ])
- Attributes
adjoint
Adjoint of this operator (abstract).
convex_conj
The convex conjugate functional of the Lp-norm.
domain
Set of objects on which this operator can be evaluated.
grad_lipschitz
Lipschitz constant for the gradient of the functional.
gradient
Gradient operator of the functional.
inverse
Return the operator inverse.
is_functional
True
if this operator’s range is aField
.is_linear
True
if this operator is linear.proximal
Return the proximal factory of the functional.
range
Set in which the result of an evaluation of this operator lies.
Methods
_call
(self, x)Return the Lp-norm of
x
.bregman
(self, point, subgrad)Return the Bregman distance functional.
derivative
(self, point)Return the derivative operator in the given point.
norm
(self[, estimate])Return the operator norm of this operator.
translated
(self, shift)Return a translation of the functional.
-
__init__
(self, space)[source]¶ Initialize a new instance.
- Parameters
- space
DiscretizedSpace
orTensorSpace
Domain of the functional.
- space