Glue_cov

//! More...

Classes
class	glue_cov
Functions
template<typename eT >
static void	glue_cov::direct_cov (Mat< eT > &out, const Mat< eT > &A, const Mat< eT > &B, const u32 norm_type)
template<typename T >
static void	glue_cov::direct_cov (Mat< std::complex< T > > &out, const Mat< std::complex< T > > &A, const Mat< std::complex< T > > &B, const u32 norm_type)
template<typename T1 , typename T2 >
static void	glue_cov::apply (Mat< typename T1::elem_type > &out, const Glue< T1, T2, glue_cov > &X)

---

Detailed Description

//!

---

Function Documentation

template<typename eT >

void glue_cov::direct_cov	(	Mat< eT > &	out,
		const Mat< eT > &	A,
		const Mat< eT > &	B,
		const u32	norm_type
	)			[inline, static, inherited]

Definition at line 26 of file glue_cov_meat.hpp.

References Mat< eT >::is_vec(), Mat< eT >::memptr(), Mat< eT >::n_elem, Mat< eT >::n_rows, Mat< eT >::set_size(), sum(), and trans().

Referenced by apply().

  {
  arma_extra_debug_sigprint();

  if(A.is_vec() && B.is_vec())
    {
    arma_debug_check( (A.n_elem != B.n_elem), "cov(): the number of elements in A and B must match" );

    const eT* A_ptr = A.memptr();
    const eT* B_ptr = B.memptr();

    eT A_acc   = eT(0);
    eT B_acc   = eT(0);
    eT out_acc = eT(0);

    const u32 N = A.n_elem;

    for(u32 i=0; i<N; ++i)
      {
      const eT A_tmp = A_ptr[i];
      const eT B_tmp = B_ptr[i];

      A_acc += A_tmp;
      B_acc += B_tmp;

      out_acc += A_tmp * B_tmp;
      }

    out_acc -= (A_acc * B_acc)/eT(N);

    const eT norm_val = (norm_type == 0) ? ( (N > 1) ? eT(N-1) : eT(1) ) : eT(N);

    out.set_size(1,1);
    out[0] = out_acc/norm_val;
    }
  else
    {
    arma_debug_assert_same_size(A, B, "cov()");

    const u32 N = A.n_rows;
    const eT norm_val = (norm_type == 0) ? ( (N > 1) ? eT(N-1) : eT(1) ) : eT(N);

    out = trans(A) * B;
    out -= (trans(sum(A)) * sum(B))/eT(N);
    out /= norm_val;
    }
  }

template<typename T >

void glue_cov::direct_cov	(	Mat< std::complex< T > > &	out,
		const Mat< std::complex< T > > &	A,
		const Mat< std::complex< T > > &	B,
		const u32	norm_type
	)			[inline, static, inherited]

Definition at line 79 of file glue_cov_meat.hpp.

References conj(), sum(), and trans().

  {
  arma_extra_debug_sigprint();

  typedef typename std::complex<T> eT;

  if(A.is_vec() && B.is_vec())
    { 
    arma_debug_check( (A.n_elem != B.n_elem), "cov(): the number of elements in A and B must match" );

    const eT* A_ptr = A.memptr();
    const eT* B_ptr = B.memptr();        

    eT A_acc   = eT(0);
    eT B_acc   = eT(0);
    eT out_acc = eT(0);

    const u32 N = A.n_elem;

    for(u32 i=0; i<N; ++i)
      {
      const eT A_tmp = A_ptr[i];
      const eT B_tmp = B_ptr[i];

      A_acc += A_tmp;
      B_acc += B_tmp;

      out_acc += std::conj(A_tmp) * B_tmp;
      }

    out_acc -= (std::conj(A_acc) * B_acc)/eT(N);

    const eT norm_val = (norm_type == 0) ? ( (N > 1) ? eT(N-1) : eT(1) ) : eT(N);

    out.set_size(1,1);
    out[0] = out_acc/norm_val;
    }
  else
    {
    arma_debug_assert_same_size(A, B, "cov()");
  
    const u32 N = A.n_rows;
    const eT norm_val = (norm_type == 0) ? ( (N > 1) ? eT(N-1) : eT(1) ) : eT(N);
    
    out = trans(conj(A)) * B;
    out -= (trans(conj(sum(A))) * sum(B))/eT(N);
    out /= norm_val;
    }
  }

template<typename T1 , typename T2 >

void glue_cov::apply	(	Mat< typename T1::elem_type > &	out,
		const Glue< T1, T2, glue_cov > &	X
	)			[inline, static, inherited]

Definition at line 134 of file glue_cov_meat.hpp.

References Glue< T1, T2, glue_type >::A, Glue< T1, T2, glue_type >::aux_u32, Glue< T1, T2, glue_type >::B, direct_cov(), and unwrap_check< T1 >::M.

  {
  arma_extra_debug_sigprint();

  typedef typename T1::elem_type eT;

  const unwrap_check<T1> A_tmp(X.A, out);
  const unwrap_check<T2> B_tmp(X.B, out);

  const Mat<eT>& A = A_tmp.M;
  const Mat<eT>& B = B_tmp.M;
  
  const u32 norm_type = X.aux_u32;

  if(&A != &B)
    {
    glue_cov::direct_cov(out, A, B, norm_type);
    }
  else
    {
    op_cov::direct_cov(out, A, norm_type);
    }
  
  }