convolution1d.h File Reference

Computes most matrix elements over 1D operators (including Gaussians) More...

#include <madness/world/vector.h>
#include <madness/constants.h>
#include <limits.h>
#include <madness/tensor/tensor.h>
#include <madness/mra/simplecache.h>
#include <madness/mra/adquad.h>
#include <madness/mra/twoscale.h>
#include <madness/mra/funcdefaults.h>
#include <madness/tensor/aligned.h>
#include <madness/tensor/tensor_lapack.h>
#include <madness/misc/kahan_accumulator.h>
#include <algorithm>

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Classes
class	madness::Convolution1D< Q >
	Provides the common functionality/interface of all 1D convolutions. More...
struct	madness::ConvolutionData1D< Q >
	!!! Note that if Rnormf is zero then ALL of the tensors are empty More...
class	madness::ConvolutionND< Q, NDIM >
	Array of 1D convolutions (one / dimension) More...
class	madness::GaussianConvolution1D< Q >
	1D convolution with (derivative) Gaussian; coeff and expnt given in simulation coordinates [0,1] More...
struct	madness::GaussianConvolution1DCache< Q >
class	madness::GaussianGenericFunctor< Q >
class	madness::GenericConvolution1D< Q, opT >
	Generic 1D convolution using brute force (i.e., slow) adaptive quadrature for rnlp. More...
struct	madness::GenericConvolution1D< Q, opT >::Shmoo

Namespaces
namespace	madness
	Namespace for all elements and tools of MADNESS.

Functions
void	madness::aligned_add (long n, double *MADNESS_RESTRICT a, const double *MADNESS_RESTRICT b)
void	madness::aligned_add (long n, double_complex *MADNESS_RESTRICT a, const double_complex *MADNESS_RESTRICT b)
void	madness::aligned_sub (long n, double *MADNESS_RESTRICT a, const double *MADNESS_RESTRICT b)
void	madness::aligned_sub (long n, double_complex *MADNESS_RESTRICT a, const double_complex *MADNESS_RESTRICT b)
template<typename T >
static void	madness::copy_2d_patch (T *MADNESS_RESTRICT out, long ldout, const T *MADNESS_RESTRICT in, long ldin, long n, long m)
template<typename T >
void	madness::fast_transpose (long n, long m, const T *a, T *MADNESS_RESTRICT b)
	a(n,m) --> b(m,n) ... optimized for smallish matrices

Detailed Description

Computes most matrix elements over 1D operators (including Gaussians)