diff options
Diffstat (limited to 'Eigen/src/QR/EigenSolver.h')
| -rw-r--r-- | Eigen/src/QR/EigenSolver.h | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/Eigen/src/QR/EigenSolver.h b/Eigen/src/QR/EigenSolver.h index a09bb210a..ac4ad9147 100644 --- a/Eigen/src/QR/EigenSolver.h +++ b/Eigen/src/QR/EigenSolver.h @@ -105,7 +105,7 @@ void EigenSolver<MatrixType>::orthes(MatrixType& matH, RealVectorType& ort) for (int m = low+1; m <= high-1; m++) { // Scale column. - Scalar scale = matH.block(m, m-1, high-m+1, 1).cwiseAbs().sum(); + Scalar scale = matH.block(m, m-1, high-m+1, 1).cwise().abs().sum(); if (scale != 0.0) { // Compute Householder transformation. @@ -193,7 +193,7 @@ void EigenSolver<MatrixType>::hqr2(MatrixType& matH) // Store roots isolated by balanc and compute matrix norm // FIXME to be efficient the following would requires a triangular reduxion code - // Scalar norm = matH.upper().cwiseAbs().sum() + matH.corner(BottomLeft,n,n).diagonal().cwiseAbs().sum(); + // Scalar norm = matH.upper().cwise().abs().sum() + matH.corner(BottomLeft,n,n).diagonal().cwise().abs().sum(); Scalar norm = 0.0; for (int j = 0; j < nn; j++) { @@ -203,7 +203,7 @@ void EigenSolver<MatrixType>::hqr2(MatrixType& matH) m_eivalues.coeffRef(j).real() = matH.coeff(j,j); m_eivalues.coeffRef(j).imag() = 0.0; } - norm += matH.col(j).start(std::min(j+1,nn)).cwiseAbs().sum(); + norm += matH.col(j).start(std::min(j+1,nn)).cwise().abs().sum(); } // Outer loop over eigenvalue index |