//! More...
Classes | |
| class | glue_cor |
Functions | |
| template<typename eT > | |
| static void | glue_cor::direct_cor (Mat< eT > &out, const Mat< eT > &A, const Mat< eT > &B, const u32 norm_type) |
| template<typename T > | |
| static void | glue_cor::direct_cor (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_cor::apply (Mat< typename T1::elem_type > &out, const Glue< T1, T2, glue_cor > &X) |
//!
| void glue_cor::direct_cor | ( | 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_cor_meat.hpp.
References Mat< eT >::is_vec(), Mat< eT >::memptr(), Mat< eT >::n_elem, Mat< eT >::n_rows, Mat< eT >::set_size(), stddev(), 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), "cor(): 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;
const Mat<eT> stddev_A = (A.n_rows == 1) ? stddev(trans(A)) : stddev(A);
const Mat<eT> stddev_B = (B.n_rows == 1) ? stddev(trans(B)) : stddev(B);
out /= stddev_A * stddev_B;
}
else
{
arma_debug_assert_same_size(A, B, "cor()");
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;
out /= trans(stddev(A)) * stddev(B);
}
}
| void glue_cor::direct_cor | ( | 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 85 of file glue_cor_meat.hpp.
References conj(), stddev(), 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), "cor(): 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;
const Mat<T> stddev_A = (A.n_rows == 1) ? stddev(trans(A)) : stddev(A);
const Mat<T> stddev_B = (B.n_rows == 1) ? stddev(trans(B)) : stddev(B);
out /= conv_to< Mat<eT> >::from( stddev_A * stddev_B );
}
else
{
arma_debug_assert_same_size(A, B, "cor()");
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;
out /= conv_to< Mat<eT> >::from( trans(stddev(A)) * stddev(B) );
}
}
| void glue_cor::apply | ( | Mat< typename T1::elem_type > & | out, | |
| const Glue< T1, T2, glue_cor > & | X | |||
| ) | [inline, static, inherited] |
Definition at line 146 of file glue_cor_meat.hpp.
References Glue< T1, T2, glue_type >::A, Glue< T1, T2, glue_type >::aux_u32, Glue< T1, T2, glue_type >::B, direct_cor(), 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_cor::direct_cor(out, A, B, norm_type);
}
else
{
op_cor::direct_cor(out, A, norm_type);
}
}