//! More...
Functions | |
| template<typename T1 > | |
| arma_warn_unused T1::elem_type | trace (const Base< typename T1::elem_type, T1 > &X) |
| Immediate trace (sum of diagonal elements) of a square dense matrix. | |
| template<typename T1 > | |
| arma_warn_unused T1::elem_type | trace (const Op< T1, op_diagmat > &X) |
| template<typename T1 , typename T2 > | |
| arma_warn_unused T1::elem_type | trace (const Glue< T1, T2, glue_times > &X) |
| speedup for trace(A*B), where the result of A*B is a square sized matrix | |
//!
| arma_warn_unused T1::elem_type trace | ( | const Base< typename T1::elem_type, T1 > & | X | ) | [inline] |
Immediate trace (sum of diagonal elements) of a square dense matrix.
Definition at line 26 of file fn_trace.hpp.
References Base< elem_type, derived >::get_ref().
| arma_warn_unused T1::elem_type trace | ( | const Op< T1, op_diagmat > & | X | ) | [inline] |
Definition at line 53 of file fn_trace.hpp.
References Op< T1, op_type >::m, and diagmat_proxy< T1 >::n_elem.
{
arma_extra_debug_sigprint();
typedef typename T1::elem_type eT;
const diagmat_proxy<T1> A(X.m);
const u32 N = A.n_elem;
eT val = eT(0);
for(u32 i=0; i<N; ++i)
{
val += A[i];
}
return val;
}
| arma_warn_unused T1::elem_type trace | ( | const Glue< T1, T2, glue_times > & | X | ) | [inline] |
speedup for trace(A*B), where the result of A*B is a square sized matrix
Definition at line 79 of file fn_trace.hpp.
References Glue< T1, T2, glue_type >::A, Mat< eT >::at(), Glue< T1, T2, glue_type >::B, Mat< eT >::colptr(), unwrap< T1 >::M, Mat< eT >::n_cols, and Mat< eT >::n_rows.
{
arma_extra_debug_sigprint();
typedef typename T1::elem_type eT;
const unwrap<T1> tmp1(X.A);
const unwrap<T2> tmp2(X.B);
const Mat<eT>& A = tmp1.M;
const Mat<eT>& B = tmp2.M;
arma_debug_assert_mul_size(A, B, "matrix multiply");
arma_debug_check( (A.n_rows != B.n_cols), "trace(): matrix must be square sized" );
const u32 N1 = A.n_rows;
const u32 N2 = A.n_cols;
eT val = eT(0);
for(u32 i=0; i<N1; ++i)
{
const eT* B_colmem = B.colptr(i);
eT acc = eT(0);
for(u32 j=0; j<N2; ++j)
{
acc += A.at(i,j) * B_colmem[j];
}
val += acc;
}
return val;
}