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-rw-r--r--Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h4
1 files changed, 2 insertions, 2 deletions
diff --git a/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h b/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h
index 960e9b417..e8e9bea97 100644
--- a/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h
+++ b/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h
@@ -276,7 +276,7 @@ inline Matrix<typename NumTraits<typename ei_traits<Derived>::Scalar>::Real, ei_
MatrixBase<Derived>::eigenvalues() const
{
ei_assert(Flags&SelfAdjoint);
- return SelfAdjointEigenSolver<typename Derived::PlainMatrixType>(eval(),false).eigenvalues();
+ return SelfAdjointEigenSolver<typename Derived::PlainObject>(eval(),false).eigenvalues();
}
template<typename Derived, bool IsSelfAdjoint>
@@ -296,7 +296,7 @@ template<typename Derived> struct ei_operatorNorm_selector<Derived, false>
static inline typename NumTraits<typename ei_traits<Derived>::Scalar>::Real
operatorNorm(const MatrixBase<Derived>& m)
{
- typename Derived::PlainMatrixType m_eval(m);
+ typename Derived::PlainObject m_eval(m);
// FIXME if it is really guaranteed that the eigenvalues are already sorted,
// then we don't need to compute a maxCoeff() here, comparing the 1st and last ones is enough.
return ei_sqrt(