Classes | |
class | op_sum |
Class for finding sums of values in a matrix (e.g. along rows or columns). More... | |
Functions | |
template<typename T1 > | |
static void | op_sum::apply (Mat< typename T1::elem_type > &out, const Op< T1, op_sum > &in) |
Immediate sum of elements of a matrix along a specified dimension (either rows or columns). The result is stored in a dense matrix that has either one column or one row. See the sum() function for more details. |
void op_sum::apply | ( | Mat< typename T1::elem_type > & | out, | |
const Op< T1, op_sum > & | in | |||
) | [inline, static, inherited] |
Immediate sum of elements of a matrix along a specified dimension (either rows or columns). The result is stored in a dense matrix that has either one column or one row. See the sum() function for more details.
Definition at line 27 of file op_sum_meat.hpp.
References Mat< eT >::at(), Op< T1, op_type >::aux_u32_a, Mat< eT >::colptr(), unwrap_check< T1 >::M, Op< T1, op_type >::m, Mat< eT >::n_cols, Mat< eT >::n_elem, Mat< eT >::n_rows, and Mat< eT >::set_size().
00028 { 00029 arma_extra_debug_sigprint(); 00030 00031 const u32 dim = in.aux_u32_a; 00032 arma_debug_check( (dim > 1), "sum(): incorrect usage. dim must be 0 or 1"); 00033 00034 typedef typename T1::elem_type eT; 00035 00036 const unwrap_check<T1> tmp(in.m, out); 00037 const Mat<eT>& X = tmp.M; 00038 00039 arma_debug_check( (X.n_elem < 1), "sum(): given object has no elements"); 00040 00041 00042 if(dim == 0) // traverse across rows (i.e. find the sum in each column) 00043 { 00044 out.set_size(1, X.n_cols); 00045 00046 for(u32 col=0; col < X.n_cols; ++col) 00047 { 00048 const eT* X_colptr = X.colptr(col); 00049 00050 eT val = eT(0); 00051 00052 for(u32 row=0; row < X.n_rows; ++row) 00053 { 00054 val += X_colptr[row]; 00055 } 00056 00057 out.at(0,col) = val; 00058 } 00059 } 00060 else // traverse across columns (i.e. find the sum in each row) 00061 { 00062 out.set_size(X.n_rows, 1); 00063 00064 for(u32 row=0; row < X.n_rows; ++row) 00065 { 00066 eT val = eT(0); 00067 00068 for(u32 col=0; col<X.n_cols; ++col) 00069 { 00070 val += X.at(row,col); 00071 } 00072 00073 out.at(row,0) = val; 00074 } 00075 00076 } 00077 00078 }