Lines Matching refs:m_lu

130       m_lu = matrix.derived();
144       return m_lu;
220     inline Index rows() const { return m_lu.rows(); }
221     inline Index cols() const { return m_lu.cols(); }
234       eigen_assert(rhs.rows() == m_lu.rows());
240       m_lu.template triangularView<UnitLower>().solveInPlace(dst);
243       m_lu.template triangularView<Upper>().solveInPlace(dst);
256       eigen_assert(rhs.rows() == m_lu.cols());
260         dst = m_lu.template triangularView<Upper>().adjoint().solve(rhs);
262         m_lu.template triangularView<UnitLower>().adjoint().solveInPlace(dst);
265         dst = m_lu.template triangularView<Upper>().transpose().solve(rhs);
267         m_lu.template triangularView<UnitLower>().transpose().solveInPlace(dst);
283     MatrixType m_lu;
293   : m_lu(),
304   : m_lu(size, size),
316   : m_lu(matrix.rows(),matrix.cols()),
329   : m_lu(matrix.derived()),
520   eigen_assert(m_lu.rows()<NumTraits<int>::highest());
522   m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
524 …eigen_assert(m_lu.rows() == m_lu.cols() && "PartialPivLU is only for square (and moreover invertib…
525   const Index size = m_lu.rows();
530   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
542   return Scalar(m_det_p) * m_lu.diagonal().prod();
553   MatrixType res = m_lu.template triangularView<UnitLower>().toDenseMatrix()
554                  * m_lu.template triangularView<Upper>();