Generic 1D convolution using brute force (i.e., slow) adaptive quadrature for rnlp. More...
#include <convolution1d.h>
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. More... | |
| virtual Level | natural_level () const |
| Returns the level for projection. More... | |
| Tensor< Q > | rnlp (Level n, Translation lx) const |
| Compute the projection of the operator onto the double order polynomials. More... | |
 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. More... | |
| 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. More... | |
| const ConvolutionData1D< Q > * | nonstandard (Level n, Translation lx) const |
| Returns a pointer to the cached make_nonstandard form of the operator. More... | |
| 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. More... | |
Private Attributes | |
| long | maxl |
| At natural level is l beyond which operator is zero. More... | |
| 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. More... | |
| 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. More... | |
| int | maxR |
| Number of lattice translations for sum. More... | |
| SimpleCache< ConvolutionData1D< Q >, 2 > | mod_ns_cache |
| int | npt |
| Number of quadrature points (is this used?) More... | |
| 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]
|
inline |
◆ GenericConvolution1D() [2/2]
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inline |
Member Function Documentation
◆ issmall()
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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()
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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()
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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
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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
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private |
Referenced by madness::GenericConvolution1D< Q, opT >::natural_level().
The documentation for this class was generated from the following file:
