// SPDX-License-Identifier: Apache-2.0
// 
// Copyright 2008-2016 Conrad Sanderson (https://conradsanderson.id.au)
// Copyright 2008-2016 National ICT Australia (NICTA)
// 
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
// https://www.apache.org/licenses/LICENSE-2.0
// 
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// ------------------------------------------------------------------------


namespace newarp
{


template<typename eT>
inline
SparseGenMatProd<eT>::SparseGenMatProd(const SpMat<eT>& mat_obj)
  : op_mat(mat_obj)
  , n_rows(mat_obj.n_rows)
  , n_cols(mat_obj.n_cols)
  {
  arma_debug_sigprint();
  
  op_mat_st = op_mat.st(); // pre-calculate transpose
  }



// Perform the matrix-vector multiplication operation \f$y=Ax\f$.
// y_out = A * x_in
template<typename eT>
inline
void
SparseGenMatProd<eT>::perform_op(eT* x_in, eT* y_out) const
  {
  arma_debug_sigprint();
  
  // // OLD METHOD
  // 
  // const Col<eT> x(x_in , n_cols, false, true);
  //       Col<eT> y(y_out, n_rows, false, true);
  // 
  // y = op_mat * x;
  
  
  // NEW METHOD
  
  const Row<eT> x(x_in , n_cols, false, true);
        Row<eT> y(y_out, n_rows, false, true);
  
  y =  x * op_mat_st;
  }


}  // namespace newarp