devtools/eigen
1
0
Fork 0
mirror of https://gitlab.com/libeigen/eigen.git synced 2026-04-10 11:34:33 +08:00
Code Issues Packages Projects Releases Wiki Activity

bug #86 : use internal:: namespace instead of ei_ prefix

Browse Source
This commit is contained in:
Benoit Jacob
2010-10-25 10:15:22 -04:00
parent ca85a1f6c5
commit 4716040703
330 changed files with 7615 additions and 7032 deletions
Download Patch File Download Diff File Expand all files Collapse all files

14
Eigen/src/Eigenvalues/MatrixBaseEigenvalues.h
View File

@@ -26,10 +26,10 @@
#ifndef EIGEN_MATRIXBASEEIGENVALUES_H
#define EIGEN_MATRIXBASEEIGENVALUES_H
namespace internal {
template<typename Derived, bool IsComplex>
struct ei_eigenvalues_selector
struct eigenvalues_selector
{
// this is the implementation for the case IsComplex = true
static inline typename MatrixBase<Derived>::EigenvaluesReturnType const
@@ -42,7 +42,7 @@ struct ei_eigenvalues_selector
};
template<typename Derived>
struct ei_eigenvalues_selector<Derived, false>
struct eigenvalues_selector<Derived, false>
{
static inline typename MatrixBase<Derived>::EigenvaluesReturnType const
run(const MatrixBase<Derived>& m)
@@ -53,6 +53,8 @@ struct ei_eigenvalues_selector<Derived, false>
}
};
} // end namespace internal
/** \brief Computes the eigenvalues of a matrix
* \returns Column vector containing the eigenvalues.
*
@@ -77,8 +79,8 @@ template<typename Derived>
inline typename MatrixBase<Derived>::EigenvaluesReturnType
MatrixBase<Derived>::eigenvalues() const
{
typedef typename ei_traits<Derived>::Scalar Scalar;
return ei_eigenvalues_selector<Derived, NumTraits<Scalar>::IsComplex>::run(derived());
typedef typename internal::traits<Derived>::Scalar Scalar;
return internal::eigenvalues_selector<Derived, NumTraits<Scalar>::IsComplex>::run(derived());
}
/** \brief Computes the eigenvalues of a matrix
@@ -135,7 +137,7 @@ MatrixBase<Derived>::operatorNorm() const
typename Derived::PlainObject m_eval(derived());
// 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((m_eval*m_eval.adjoint())
return internal::sqrt((m_eval*m_eval.adjoint())
.eval()
.template selfadjointView<Lower>()
.eigenvalues()