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-rw-r--r--Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h7
1 files changed, 3 insertions, 4 deletions
diff --git a/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h b/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h
index a6bbdac6b..54f60b197 100644
--- a/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h
+++ b/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h
@@ -133,7 +133,7 @@ template<typename _MatrixType> class SelfAdjointEigenSolver
* \sa compute() for an example
*/
EIGEN_DEVICE_FUNC
- SelfAdjointEigenSolver(Index size)
+ explicit SelfAdjointEigenSolver(Index size)
: m_eivec(size, size),
m_eivalues(size),
m_subdiag(size > 1 ? size - 1 : 1),
@@ -156,7 +156,7 @@ template<typename _MatrixType> class SelfAdjointEigenSolver
* \sa compute(const MatrixType&, int)
*/
EIGEN_DEVICE_FUNC
- SelfAdjointEigenSolver(const MatrixType& matrix, int options = ComputeEigenvectors)
+ explicit SelfAdjointEigenSolver(const MatrixType& matrix, int options = ComputeEigenvectors)
: m_eivec(matrix.rows(), matrix.cols()),
m_eivalues(matrix.cols()),
m_subdiag(matrix.rows() > 1 ? matrix.rows() - 1 : 1),
@@ -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