WRecursiveTensorEvaluationLoop< IterEnd, Data_T, k, i, N > Struct Template Reference

Multiplies gradient components and divides by multiplicities. More...

#include <WTensorMeta.h>

Static Public Member Functions
static Data_T	evaluate (Data_T const *&tens, Data_T const *grad, Data_T w)
	Multiply gradient components and divide by multiplicities. More...

Detailed Description

template<typename IterEnd, typename Data_T, std::size_t k, std::size_t i, std::size_t N>
struct WRecursiveTensorEvaluationLoop< IterEnd, Data_T, k, i, N >

Multiplies gradient components and divides by multiplicities.

This essentailly calls WRecursiveTensorEvaluation< ... >s evaluate function N times.

If IterEnd equals boost::mpl::bool_< false >, iteration is aborted.

Definition at line 44 of file WTensorMeta.h.

Member Function Documentation

evaluate()

template<typename IterEnd , typename Data_T , std::size_t k, std::size_t i, std::size_t N>

static Data_T WRecursiveTensorEvaluationLoop< IterEnd, Data_T, k, i, N >::evaluate ( Data_T const *&  tens, Data_T const *  grad, Data_T  w  )

inlinestatic

Multiply gradient components and divide by multiplicities.

Parameters

tens	A pointer to the tensor components.
grad	The gradient to evaluate the function at.
w	The result up to now.

Returns

The result.

Definition at line 55 of file WTensorMeta.h.

References WRecursiveTensorEvaluation< Data_T, k, n, N, m >::evaluate().

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

• WTensorMeta.h