uniform_discr_frompartition

odl.discr.discr_space.uniform_discr_frompartition(partition, dtype=None, impl='numpy', \*\*kwargs)[source]

Return a uniformly discretized L^p function space.

Parameters
partitionRectPartition

Uniform partition to be used for discretization. It defines the domain and the functions and the grid for discretization.

dtypeoptional

Data type for the discretized space, must be understood by the numpy.dtype constructor. The default for None depends on the impl backend, usually it is 'float64' or 'float32'.

implstring, optional

Implementation of the data storage arrays

kwargs :

Additional keyword parameters, see uniform_discr for details.

Returns
discrDiscretizedSpace

The uniformly discretized function space.

See also

uniform_discr

implicit uniform Lp discretization

uniform_discr_fromspace

uniform Lp discretization from an existing function space

odl.discr.partition.uniform_partition

partition of the function domain

Examples

>>> part = odl.uniform_partition(0, 1, 10)
>>> uniform_discr_frompartition(part)
uniform_discr(0.0, 1.0, 10)