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:

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)