IndicatorBox¶
- class odl.solvers.functional.default_functionals.IndicatorBox(*args, **kwargs)[source]¶
Bases:
Functional
Indicator on some box shaped domain.
Notes
The indicator with lower bound and upper bound is defined as:
- Attributes:
adjoint
Adjoint of this operator (abstract).
convex_conj
Convex conjugate functional of the functional.
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__
(x[, out])Return
self(x[, out, **kwargs])
.bregman
(point, subgrad)Return the Bregman distance functional.
derivative
(point)Return the derivative operator in the given point.
norm
([estimate])Return the operator norm of this operator.
translated
(shift)Return a translation of the functional.
- __init__(space, lower=None, upper=None)[source]¶
Initialize an instance.
- Parameters:
- space
LinearSpace
Domain of the functional.
- lower
space.field
element orspace
element-like
, optional The lower bound. Default:
None
, interpreted as -infinity- upper
space.field
element orspace
element-like
, optional The upper bound. Default:
None
, interpreted as +infinity
- space
Examples
>>> space = odl.rn(3) >>> func = IndicatorBox(space, 0, 2) >>> func([0, 1, 2]) # all points inside 0 >>> func([0, 1, 3]) # one point outside inf