madness::GenericConvolution1D< Q, opT > Class Template Reference

Generic 1D convolution using brute force (i.e., slow) adaptive quadrature for rnlp. More...

#include <convolution1d.h>

Inheritance diagram for madness::GenericConvolution1D< Q, opT >:

Collaboration diagram for madness::GenericConvolution1D< Q, opT >:

Classes
struct	Shmoo

Public Member Functions
	GenericConvolution1D ()
	GenericConvolution1D (int k, const opT &op, int maxR, double arg=0.0)
bool	issmall (Level n, Translation lx) const
	Returns true if the block of rnlp is expected to be small.
virtual Level	natural_level () const
	Returns the level for projection.
Tensor< Q >	rnlp (Level n, Translation lx) const
	Compute the projection of the operator onto the double order polynomials.
Public Member Functions inherited from madness::Convolution1D< Q >
	Convolution1D (int k, int npt, int maxR, double arg=0.0)
virtual	~Convolution1D ()
bool	get_issmall (Level n, Translation lx) const
	Returns true if the block of rnlp is expected to be small including periodicity.
const Tensor< Q > &	get_rnlp (Level n, Translation lx) const
const ConvolutionData1D< Q > *	mod_nonstandard (const Key< 2 > &op_key) const
	Returns a pointer to the cached modified make_nonstandard form of the operator.
const ConvolutionData1D< Q > *	nonstandard (Level n, Translation lx) const
	Returns a pointer to the cached make_nonstandard form of the operator.
Q	phase (double R) const
Q	phase (double_complex R) const
const Tensor< Q > &	rnlij (Level n, Translation lx, bool do_transpose=false) const
	Computes the transition matrix elements for the convolution for n,l.

Private Attributes
long	maxl
	At natural level is l beyond which operator is zero.
opT	op

Additional Inherited Members
Public Types inherited from madness::Convolution1D< Q >
typedef Q	opT
	The apply function uses this to infer resultT=opT*inputT.
Public Attributes inherited from madness::Convolution1D< Q >
double	arg
Tensor< double >	c
Tensor< double >	hg
Tensor< double >	hgT
Tensor< double >	hgT2k
int	k
	Wavelet order.
int	maxR
	Number of lattice translations for sum.
SimpleCache< ConvolutionData1D< Q >, 2 >	mod_ns_cache
int	npt
	Number of quadrature points (is this used?)
SimpleCache< ConvolutionData1D< Q >, 1 >	ns_cache
Tensor< double >	quad_w
Tensor< double >	quad_x
SimpleCache< Tensor< Q >, 1 >	rnlij_cache
SimpleCache< Tensor< Q >, 1 >	rnlp_cache

Detailed Description

template<typename Q, typename opT>
class madness::GenericConvolution1D< Q, opT >

Generic 1D convolution using brute force (i.e., slow) adaptive quadrature for rnlp.

Calls op(x) with x in simulation coordinates to evaluate the function.

Constructor & Destructor Documentation

GenericConvolution1D() [1/2]

template<typename Q , typename opT >

madness::GenericConvolution1D< Q, opT >::GenericConvolution1D ( )

inline

GenericConvolution1D() [2/2]

template<typename Q , typename opT >

madness::GenericConvolution1D< Q, opT >::GenericConvolution1D ( int  k, const opT &  op, int  maxR, double  arg = 0.0  )

inline

References e(), madness::Convolution1D< Q >::get_rnlp(), madness::GenericConvolution1D< Q, opT >::maxl, madness::GenericConvolution1D< Q, opT >::natural_level(), and madness::Tensor< T >::normf().

Member Function Documentation

issmall()

template<typename Q , typename opT >

bool madness::GenericConvolution1D< Q, opT >::issmall ( Level  n, Translation  lx  ) const

inlinevirtual

Returns true if the block of rnlp is expected to be small.

Implements madness::Convolution1D< Q >.

References madness::GenericConvolution1D< Q, opT >::maxl, and madness::GenericConvolution1D< Q, opT >::natural_level().

natural_level()

template<typename Q , typename opT >

virtual Level madness::GenericConvolution1D< Q, opT >::natural_level ( ) const

inlinevirtual

Returns the level for projection.

Reimplemented from madness::Convolution1D< Q >.

References madness::GenericConvolution1D< Q, opT >::op.

Referenced by madness::GenericConvolution1D< Q, opT >::GenericConvolution1D(), and madness::GenericConvolution1D< Q, opT >::issmall().

rnlp()

template<typename Q , typename opT >

Tensor< Q > madness::GenericConvolution1D< Q, opT >::rnlp ( Level  n, Translation  lx  ) const

inlinevirtual

Compute the projection of the operator onto the double order polynomials.

Implements madness::Convolution1D< Q >.

References madness::adq1(), e(), madness::Convolution1D< Q >::npt, madness::Tensor< T >::ptr(), and madness::Convolution1D< Q >::quad_x.

Referenced by main().

Member Data Documentation

maxl

template<typename Q , typename opT >

long madness::GenericConvolution1D< Q, opT >::maxl

private

At natural level is l beyond which operator is zero.

Referenced by madness::GenericConvolution1D< Q, opT >::GenericConvolution1D(), and madness::GenericConvolution1D< Q, opT >::issmall().

op

template<typename Q , typename opT >

opT madness::GenericConvolution1D< Q, opT >::op

private

Referenced by madness::GenericConvolution1D< Q, opT >::natural_level().

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

• convolution1d.h