uniform_discr_fromintv

odl.uniform_discr_fromintv(intv_prod, shape, dtype=None, impl='numpy', **kwargs)

Return a uniformly discretized L^p function space.

Parameters

intv_prodIntervalProd

Function domain of the uniformly discretized space.

shapeint or sequence of ints

Number of samples per axis.

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'.

implstr, optional

Implementation of the data storage arrays.

kwargs :

Additional keyword parameters, see uniform_discr for details.

Returns

discrDiscretizedSpace

The uniformly discretized function space

Examples

>>> intv = IntervalProd(0, 1)
>>> uniform_discr_fromintv(intv, 10)
uniform_discr(0.0, 1.0, 10)

See Also

uniform_discr : implicit uniform Lp discretization uniform_discr_frompartition : uniform Lp discretization using a given

uniform partition of a function domain