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-rw-r--r--Eigen/src/Eigenvalues/EigenSolver.h6
-rw-r--r--Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h3
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