diff --git a/Eigen/src/Core/Assign.h b/Eigen/src/Core/Assign.h
index 38c68778f..f806ba572 100644
--- a/Eigen/src/Core/Assign.h
+++ b/Eigen/src/Core/Assign.h
@@ -381,7 +381,7 @@ struct ei_unaligned_assign_impl<false>
 template<typename Derived1, typename Derived2>
 struct ei_assign_impl<Derived1, Derived2, LinearVectorizedTraversal, NoUnrolling>
 {
-  inline static void run(Derived1 &dst, const Derived2 &src)
+  EIGEN_STRONG_INLINE static void run(Derived1 &dst, const Derived2 &src)
   {
     const int size = dst.size();
     const int packetSize = ei_packet_traits<typename Derived1::Scalar>::size;
diff --git a/Eigen/src/Eigenvalues/ComplexSchur.h b/Eigen/src/Eigenvalues/ComplexSchur.h
index 0fad415a2..531ebf709 100644
--- a/Eigen/src/Eigenvalues/ComplexSchur.h
+++ b/Eigen/src/Eigenvalues/ComplexSchur.h
@@ -218,10 +218,12 @@ void ComplexSchur<MatrixType>::compute(const MatrixType& matrix, bool skipU)
     sf = t.cwiseAbs().sum();
     t /= sf;     // the normalization by sf is to avoid under/overflow
 
-    b = t.coeff(0,0) + t.coeff(1,1);
+    b = t.coeff(0,1) * t.coeff(1,0);
     c = t.coeff(0,0) - t.coeff(1,1);
-    disc = ei_sqrt(c*c + RealScalar(4)*t.coeff(0,1)*t.coeff(1,0));
+    disc = ei_sqrt(c*c + RealScalar(4)*b);
 
+    c = t.coeff(0,0) * t.coeff(1,1) - b;
+    b = t.coeff(0,0) + t.coeff(1,1);
     r1 = (b+disc)/RealScalar(2);
     r2 = (b-disc)/RealScalar(2);