uniform_discr_fromintv¶

odl.discr.discr_space.uniform_discr_fromintv(intv_prod, shape, dtype=None, impl='numpy', **kwargs)[source]¶

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:

See also

uniform_discr: implicit uniform Lp discretization
uniform_discr_frompartition: uniform Lp discretization using a given uniform partition of a function domain

Examples

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