logaddexp2_op¶

class odl.ufunc_ops.ufunc_ops.logaddexp2_op(*args, **kwargs)¶

Bases: odl.operator.operator.Operator

Logarithm of the sum of exponentiations of the inputs in base-2.

See also

numpy.logaddexp2

Examples

>>> import odl
>>> space = odl.rn(3)
>>> op = odl.ufunc_ops.logaddexp2(space)
>>> print(op([[-1.,  1.,  2.], [ 3.,  4.,  5.]]))
[ 3.08746284,  4.169925  ,  5.169925  ]

Attributes

adjoint: Adjoint of this operator (abstract).
domain: Set of objects on which this operator can be evaluated.
inverse: Return the operator inverse.
is_functional: True if this operator’s range is a Field.
is_linear: True if this operator is linear.
range: Set in which the result of an evaluation of this operator lies.

Methods

`_call`(self, x[, out])	Return `self(x)`.
`derivative`(self, point)	Return the operator derivative at `point`.
`norm`(self[, estimate])	Return the operator norm of this operator.

__init__(self, space)¶

Initialize an instance.

Parameters

spaceTensorSpace: The domain of the operator.