/*
* Copyright 2009-2019 The VOTCA Development Team
* (http://www.votca.org)
*
* 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
*
* http://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 "A_ol I_ol" BA_olI_ol,
* WITHOUT WARRANTIE_ol OR CONDITION_ol OF ANY KIND, either express or implied.
* _olee the License for the specific language governing permissions and
* limitations under the License.
*
*/
#include <votca/xtp/aomatrix3d.h>
namespace votca {
namespace xtp {
void AOMatrix3D::Fill(const AOBasis& aobasis) {
for (Index i = 0; i < 3; i++) {
_aomatrix[i] =
Eigen::MatrixXd::Zero(aobasis.AOBasisSize(), aobasis.AOBasisSize());
}
// loop row
#pragma omp parallel for
for (Index row = 0; row < aobasis.getNumofShells(); row++) {
const AOShell& shell_row = aobasis.getShell(row);
Index row_start = shell_row.getStartIndex();
// loop column
for (const AOShell& shell_col : aobasis) {
// figure out the submatrix
Index col_start = shell_col.getStartIndex();
std::vector<Eigen::Block<Eigen::MatrixXd> > submatrix;
for (Index i = 0; i < 3; i++) {
Eigen::Block<Eigen::MatrixXd> block =
_aomatrix[i].block(row_start, col_start, shell_row.getNumFunc(),
shell_col.getNumFunc());
submatrix.push_back(block);
}
// Fill block
FillBlock(submatrix, shell_row, shell_col);
}
}
return;
}
} // namespace xtp
} // namespace votca