80     LLT() : m_matrix(), m_isInitialized(false) {}  in LLT()
88     explicit LLT(Index size) : m_matrix(size, size),  in LLT()
93       : m_matrix(matrix.rows(), matrix.cols()),  in LLT()
108       : m_matrix(matrix.derived()),  in LLT()
118       return Traits::getU(m_matrix);  in matrixU()
125       return Traits::getL(m_matrix);  in matrixL()
143       eigen_assert(m_matrix.rows()==b.rows()  in solve()
171       return m_matrix;  in matrixLLT()
195     inline Index rows() const { return m_matrix.rows(); }  in rows()
196     inline Index cols() const { return m_matrix.cols(); }  in cols()
218     MatrixType m_matrix;  variable
427   m_matrix.resize(size, size);
428   m_matrix = a.derived();
436 …abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col…
438 …abs_col_sum = m_matrix.col(col).head(col).template lpNorm<1>() + m_matrix.row(col).tail(size - col…
444   bool ok = Traits::inplace_decomposition(m_matrix);
460   eigen_assert(v.size()==m_matrix.cols());
462   if(internal::llt_inplace<typename MatrixType::Scalar, UpLo>::rankUpdate(m_matrix,v,sigma)>=0)
495   eigen_assert(m_matrix.rows()==bAndX.rows());
529   return LLT<PlainObject,UpLo>(m_matrix);