1 files changed, 9 insertions, 5 deletions
diff --git a/Eigen/src/QR/FullPivHouseholderQR.h b/Eigen/src/QR/FullPivHouseholderQR.h
index 37898e77c..613c29e57 100644
--- a/Eigen/src/QR/FullPivHouseholderQR.h
+++ b/Eigen/src/QR/FullPivHouseholderQR.h
@@ -201,11 +201,12 @@ template<typename _MatrixType> class FullPivHouseholderQR
       */
     inline Index rank() const
     {
+      using std::abs;
       eigen_assert(m_isInitialized && "FullPivHouseholderQR is not initialized.");
-      RealScalar premultiplied_threshold = internal::abs(m_maxpivot) * threshold();
+      RealScalar premultiplied_threshold = abs(m_maxpivot) * threshold();
       Index result = 0;
       for(Index i = 0; i < m_nonzero_pivots; ++i)
-        result += (internal::abs(m_qr.coeff(i,i)) > premultiplied_threshold);
+        result += (abs(m_qr.coeff(i,i)) > premultiplied_threshold);
       return result;
     }
 
@@ -362,9 +363,10 @@ template<typename _MatrixType> class FullPivHouseholderQR
 template<typename MatrixType>
 typename MatrixType::RealScalar FullPivHouseholderQR<MatrixType>::absDeterminant() const
 {
+  using std::abs;
   eigen_assert(m_isInitialized && "FullPivHouseholderQR is not initialized.");
   eigen_assert(m_qr.rows() == m_qr.cols() && "You can't take the determinant of a non-square matrix!");
-  return internal::abs(m_qr.diagonal().prod());
+  return abs(m_qr.diagonal().prod());
 }
 
 template<typename MatrixType>
@@ -378,6 +380,7 @@ typename MatrixType::RealScalar FullPivHouseholderQR<MatrixType>::logAbsDetermin
 template<typename MatrixType>
 FullPivHouseholderQR<MatrixType>& FullPivHouseholderQR<MatrixType>::compute(const MatrixType& matrix)
 {
+  using std::abs;
   Index rows = matrix.rows();
   Index cols = matrix.cols();
   Index size = (std::min)(rows,cols);
@@ -439,7 +442,7 @@ FullPivHouseholderQR<MatrixType>& FullPivHouseholderQR<MatrixType>::compute(cons
     m_qr.coeffRef(k,k) = beta;
 
     // remember the maximum absolute value of diagonal coefficients
-    if(internal::abs(beta) > m_maxpivot) m_maxpivot = internal::abs(beta);
+    if(abs(beta) > m_maxpivot) m_maxpivot = abs(beta);
 
     m_qr.bottomRightCorner(rows-k, cols-k-1)
         .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
@@ -544,6 +547,7 @@ public:
   template <typename ResultType>
   void evalTo(ResultType& result, WorkVectorType& workspace) const
   {
+    using internal::conj;
     // compute the product H'_0 H'_1 ... H'_n-1,
     // where H_k is the k-th Householder transformation I - h_k v_k v_k'
     // and v_k is the k-th Householder vector [1,m_qr(k+1,k), m_qr(k+2,k), ...]
@@ -555,7 +559,7 @@ public:
     for (Index k = size-1; k >= 0; k--)
     {
       result.block(k, k, rows-k, rows-k)
-            .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), internal::conj(m_hCoeffs.coeff(k)), &workspace.coeffRef(k));
+            .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), conj(m_hCoeffs.coeff(k)), &workspace.coeffRef(k));
       result.row(k).swap(result.row(m_rowsTranspositions.coeff(k)));
     }
   }