madness::SeparatedConvolutionInternal< Q, NDIM > Struct Template Reference

#include <operator.h>

Public Attributes
double	norm
const ConvolutionData1D< Q > *	ops [NDIM]

Detailed Description

template<typename Q, std::size_t NDIM>
struct madness::SeparatedConvolutionInternal< Q, NDIM >

SeparatedConvolutionInternal keeps data for 1 term and all dimensions and 1 displacement Why is this here?? Why don't you just use ConvolutionND in SeparatedConvolutionData??

Member Data Documentation

norm

template<typename Q , std::size_t NDIM>

double madness::SeparatedConvolutionInternal< Q, NDIM >::norm

Referenced by madness::SeparatedConvolution< Q, NDIM >::apply(), madness::SeparatedConvolution< Q, NDIM >::apply2(), and madness::SeparatedConvolution< Q, NDIM >::estimate_costs().

ops

template<typename Q , std::size_t NDIM>

const ConvolutionData1D<Q>* madness::SeparatedConvolutionInternal< Q, NDIM >::ops[NDIM]

Referenced by madness::SeparatedConvolution< Q, NDIM >::apply(), madness::SeparatedConvolution< Q, NDIM >::apply2(), madness::SeparatedConvolution< Q, NDIM >::apply2_lowdim(), and madness::SeparatedConvolution< Q, NDIM >::make_tt_representation().

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The documentation for this struct was generated from the following file:

• operator.h