diff --git a/Eigen/src/Core/functors/NullaryFunctors.h b/Eigen/src/Core/functors/NullaryFunctors.h
index 70efec3ec..88deebad7 100644
--- a/Eigen/src/Core/functors/NullaryFunctors.h
+++ b/Eigen/src/Core/functors/NullaryFunctors.h
@@ -94,7 +94,7 @@ struct linspaced_op_impl<Scalar,Packet,/*IsInteger*/true>
     m_low(low),
     m_multiplier((high-low)/convert_index<Scalar>(num_steps<=1 ? 1 : num_steps-1)),
     m_divisor(convert_index<Scalar>(num_steps+high-low)/(high-low+1)),
-    m_use_divisor((high-low+1)<num_steps)
+    m_use_divisor((high+1)<(low+num_steps))
   {}
 
   template<typename IndexType>
diff --git a/Eigen/src/QR/ColPivHouseholderQR.h b/Eigen/src/QR/ColPivHouseholderQR.h
index 618f80480..0e47c8332 100644
--- a/Eigen/src/QR/ColPivHouseholderQR.h
+++ b/Eigen/src/QR/ColPivHouseholderQR.h
@@ -506,7 +506,7 @@ void ColPivHouseholderQR<MatrixType>::computeInPlace()
     m_colNormsUpdated.coeffRef(k) = m_colNormsDirect.coeffRef(k);
   }
 
-  RealScalar threshold_helper =  numext::abs2(m_colNormsUpdated.maxCoeff() * NumTraits<Scalar>::epsilon()) / RealScalar(rows);
+  RealScalar threshold_helper =  numext::abs2<Scalar>(m_colNormsUpdated.maxCoeff() * NumTraits<Scalar>::epsilon()) / RealScalar(rows);
   RealScalar norm_downdate_threshold = numext::sqrt(NumTraits<Scalar>::epsilon());
 
   m_nonzero_pivots = size; // the generic case is that in which all pivots are nonzero (invertible case)
@@ -557,8 +557,8 @@ void ColPivHouseholderQR<MatrixType>::computeInPlace()
         RealScalar temp = abs(m_qr.coeffRef(k, j)) / m_colNormsUpdated.coeffRef(j);
         temp = (RealScalar(1) + temp) * (RealScalar(1) - temp);
         temp = temp < 0 ? 0 : temp;
-        RealScalar temp2 = temp * numext::abs2(m_colNormsUpdated.coeffRef(j) /
-                                               m_colNormsDirect.coeffRef(j));
+        RealScalar temp2 = temp * numext::abs2<Scalar>(m_colNormsUpdated.coeffRef(j) /
+                                                       m_colNormsDirect.coeffRef(j));
         if (temp2 <= norm_downdate_threshold) {
           // The updated norm has become too inaccurate so re-compute the column
           // norm directly.