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https://gitlab.com/libeigen/eigen.git
synced 2026-04-10 11:34:33 +08:00
Renamed PlainMatrixType to PlainObject (Array != Matrix).
Renamed ReturnByValue::ReturnMatrixType ReturnByValue::ReturnType (again, Array != Matrix).
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@@ -276,7 +276,7 @@ inline Matrix<typename NumTraits<typename ei_traits<Derived>::Scalar>::Real, ei_
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MatrixBase<Derived>::eigenvalues() const
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{
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ei_assert(Flags&SelfAdjoint);
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return SelfAdjointEigenSolver<typename Derived::PlainMatrixType>(eval(),false).eigenvalues();
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return SelfAdjointEigenSolver<typename Derived::PlainObject>(eval(),false).eigenvalues();
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}
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template<typename Derived, bool IsSelfAdjoint>
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@@ -296,7 +296,7 @@ template<typename Derived> struct ei_operatorNorm_selector<Derived, false>
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static inline typename NumTraits<typename ei_traits<Derived>::Scalar>::Real
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operatorNorm(const MatrixBase<Derived>& m)
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{
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typename Derived::PlainMatrixType m_eval(m);
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typename Derived::PlainObject m_eval(m);
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// FIXME if it is really guaranteed that the eigenvalues are already sorted,
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// then we don't need to compute a maxCoeff() here, comparing the 1st and last ones is enough.
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return ei_sqrt(
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