diff options
Diffstat (limited to 'Eigen/src/Eigenvalues')
-rw-r--r-- | Eigen/src/Eigenvalues/EigenSolver.h | 6 | ||||
-rw-r--r-- | Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h | 3 |
2 files changed, 3 insertions, 6 deletions
diff --git a/Eigen/src/Eigenvalues/EigenSolver.h b/Eigen/src/Eigenvalues/EigenSolver.h index 8a83b85bb..9372021ff 100644 --- a/Eigen/src/Eigenvalues/EigenSolver.h +++ b/Eigen/src/Eigenvalues/EigenSolver.h @@ -368,7 +368,6 @@ EigenSolver<MatrixType>::compute(const MatrixType& matrix, bool computeEigenvect { using std::sqrt; using std::abs; - using std::max; using numext::isfinite; eigen_assert(matrix.cols() == matrix.rows()); @@ -409,7 +408,7 @@ EigenSolver<MatrixType>::compute(const MatrixType& matrix, bool computeEigenvect { Scalar t0 = m_matT.coeff(i+1, i); Scalar t1 = m_matT.coeff(i, i+1); - Scalar maxval = (max)(abs(p),(max)(abs(t0),abs(t1))); + Scalar maxval = numext::maxi(abs(p),numext::maxi(abs(t0),abs(t1))); t0 /= maxval; t1 /= maxval; Scalar p0 = p/maxval; @@ -600,8 +599,7 @@ void EigenSolver<MatrixType>::doComputeEigenvectors() } // Overflow control - EIGEN_USING_STD_MATH(max); - Scalar t = (max)(abs(m_matT.coeff(i,n-1)),abs(m_matT.coeff(i,n))); + Scalar t = numext::maxi(abs(m_matT.coeff(i,n-1)),abs(m_matT.coeff(i,n))); if ((eps * t) * t > Scalar(1)) m_matT.block(i, n-1, size-i, 2) /= t; diff --git a/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h b/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h index 1dd2ab45b..54f60b197 100644 --- a/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h +++ b/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h @@ -732,7 +732,6 @@ struct direct_selfadjoint_eigenvalues<SolverType,2,false> EIGEN_DEVICE_FUNC static inline void run(SolverType& solver, const MatrixType& mat, int options) { - EIGEN_USING_STD_MATH(max) EIGEN_USING_STD_MATH(sqrt); eigen_assert(mat.cols() == 2 && mat.cols() == mat.rows()); @@ -746,7 +745,7 @@ struct direct_selfadjoint_eigenvalues<SolverType,2,false> // map the matrix coefficients to [-1:1] to avoid over- and underflow. Scalar scale = mat.cwiseAbs().maxCoeff(); - scale = (max)(scale,Scalar(1)); + scale = numext::maxi(scale,Scalar(1)); MatrixType scaledMat = mat / scale; // Compute the eigenvalues |