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-rw-r--r--Eigen/src/Eigenvalues/EigenSolver.h10
1 files changed, 4 insertions, 6 deletions
diff --git a/Eigen/src/Eigenvalues/EigenSolver.h b/Eigen/src/Eigenvalues/EigenSolver.h
index d2563d470..9372021ff 100644
--- a/Eigen/src/Eigenvalues/EigenSolver.h
+++ b/Eigen/src/Eigenvalues/EigenSolver.h
@@ -118,7 +118,7 @@ template<typename _MatrixType> class EigenSolver
* according to the specified problem \a size.
* \sa EigenSolver()
*/
- EigenSolver(Index size)
+ explicit EigenSolver(Index size)
: m_eivec(size, size),
m_eivalues(size),
m_isInitialized(false),
@@ -143,7 +143,7 @@ template<typename _MatrixType> class EigenSolver
*
* \sa compute()
*/
- EigenSolver(const MatrixType& matrix, bool computeEigenvectors = true)
+ explicit EigenSolver(const MatrixType& matrix, bool computeEigenvectors = true)
: m_eivec(matrix.rows(), matrix.cols()),
m_eivalues(matrix.cols()),
m_isInitialized(false),
@@ -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;