diff options
Diffstat (limited to 'Eigen/src/SVD/JacobiSVD.h')
| -rw-r--r-- | Eigen/src/SVD/JacobiSVD.h | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/Eigen/src/SVD/JacobiSVD.h b/Eigen/src/SVD/JacobiSVD.h index e29d36cf2..bf5ff48c3 100644 --- a/Eigen/src/SVD/JacobiSVD.h +++ b/Eigen/src/SVD/JacobiSVD.h @@ -449,8 +449,8 @@ struct traits<JacobiSVD<_MatrixType,QRPreconditioner> > * * \brief Two-sided Jacobi SVD decomposition of a rectangular matrix * - * \param MatrixType the type of the matrix of which we are computing the SVD decomposition - * \param QRPreconditioner this optional parameter allows to specify the type of QR decomposition that will be used internally + * \tparam _MatrixType the type of the matrix of which we are computing the SVD decomposition + * \tparam QRPreconditioner this optional parameter allows to specify the type of QR decomposition that will be used internally * for the R-SVD step for non-square matrices. See discussion of possible values below. * * SVD decomposition consists in decomposing any n-by-p matrix \a A as a product @@ -539,7 +539,7 @@ template<typename _MatrixType, int QRPreconditioner> class JacobiSVD * according to the specified problem size. * \sa JacobiSVD() */ - explicit JacobiSVD(Index rows, Index cols, unsigned int computationOptions = 0) + JacobiSVD(Index rows, Index cols, unsigned int computationOptions = 0) { allocate(rows, cols, computationOptions); } @@ -666,7 +666,7 @@ void JacobiSVD<MatrixType, QRPreconditioner>::allocate(Index rows, Index cols, u if(m_cols>m_rows) m_qr_precond_morecols.allocate(*this); if(m_rows>m_cols) m_qr_precond_morerows.allocate(*this); - if(m_cols!=m_cols) m_scaledMatrix.resize(rows,cols); + if(m_rows!=m_cols) m_scaledMatrix.resize(rows,cols); } template<typename MatrixType, int QRPreconditioner> |