Remove useless "explicit", and fix inline/static order.

5 files changed, 6 insertions, 6 deletions

diff --git a/Eigen/src/Core/AssignEvaluator.h b/Eigen/src/Core/AssignEvaluator.h
index db3bef38d..9dfffbcc4 100644..100755
--- a/Eigen/src/Core/AssignEvaluator.h
+++ b/Eigen/src/Core/AssignEvaluator.h
@@ -606,7 +606,7 @@ public:
     assignPacket<StoreMode,LoadMode,PacketType>(row, col);
   }
   
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE static Index rowIndexByOuterInner(Index outer, Index inner)
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE Index rowIndexByOuterInner(Index outer, Index inner)
   {
     typedef typename DstEvaluatorType::ExpressionTraits Traits;
     return int(Traits::RowsAtCompileTime) == 1 ? 0
@@ -615,7 +615,7 @@ public:
       : inner;
   }
 
-  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE static Index colIndexByOuterInner(Index outer, Index inner)
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE Index colIndexByOuterInner(Index outer, Index inner)
   {
     typedef typename DstEvaluatorType::ExpressionTraits Traits;
     return int(Traits::ColsAtCompileTime) == 1 ? 0
diff --git a/Eigen/src/Core/VectorwiseOp.h b/Eigen/src/Core/VectorwiseOp.h
index dbc272dae..483f71909 100644..100755
--- a/Eigen/src/Core/VectorwiseOp.h
+++ b/Eigen/src/Core/VectorwiseOp.h
@@ -115,7 +115,7 @@ struct member_lpnorm {
   typedef ResultType result_type;
   template<typename Scalar, int Size> struct Cost
   { enum { value = (Size+5) * NumTraits<Scalar>::MulCost + (Size-1)*NumTraits<Scalar>::AddCost }; };
-  EIGEN_DEVICE_FUNC explicit member_lpnorm() {}
+  EIGEN_DEVICE_FUNC member_lpnorm() {}
   template<typename XprType>
   EIGEN_DEVICE_FUNC inline ResultType operator()(const XprType& mat) const
   { return mat.template lpNorm<p>(); }
diff --git a/Eigen/src/Eigenvalues/GeneralizedEigenSolver.h b/Eigen/src/Eigenvalues/GeneralizedEigenSolver.h
index e2e28cd4a..a9d6790d5 100644..100755
--- a/Eigen/src/Eigenvalues/GeneralizedEigenSolver.h
+++ b/Eigen/src/Eigenvalues/GeneralizedEigenSolver.h
@@ -145,7 +145,7 @@ template<typename _MatrixType> class GeneralizedEigenSolver
       *
       * \sa compute()
       */
-    explicit GeneralizedEigenSolver(const MatrixType& A, const MatrixType& B, bool computeEigenvectors = true)
+    GeneralizedEigenSolver(const MatrixType& A, const MatrixType& B, bool computeEigenvectors = true)
       : m_eivec(A.rows(), A.cols()),
         m_alphas(A.cols()),
         m_betas(A.cols()),
diff --git a/Eigen/src/Eigenvalues/RealQZ.h b/Eigen/src/Eigenvalues/RealQZ.h
index 02ebb7d17..a62071d42 100644..100755
--- a/Eigen/src/Eigenvalues/RealQZ.h
+++ b/Eigen/src/Eigenvalues/RealQZ.h
@@ -101,7 +101,7 @@ namespace Eigen {
        *
        * This constructor calls compute() to compute the QZ decomposition.
        */
-      explicit RealQZ(const MatrixType& A, const MatrixType& B, bool computeQZ = true) :
+      RealQZ(const MatrixType& A, const MatrixType& B, bool computeQZ = true) :
         m_S(A.rows(),A.cols()),
         m_T(A.rows(),A.cols()),
         m_Q(A.rows(),A.cols()),
diff --git a/Eigen/src/SVD/JacobiSVD.h b/Eigen/src/SVD/JacobiSVD.h
index e29d36cf2..cb918860c 100644..100755
--- a/Eigen/src/SVD/JacobiSVD.h
+++ b/Eigen/src/SVD/JacobiSVD.h
@@ -539,7 +539,7 @@ template<typename _MatrixType, int QRPreconditioner> class JacobiSVD
       * according to the specified problem size.
       * \sa JacobiSVD()
       */
-    explicit JacobiSVD(Index rows, Index cols, unsigned int computationOptions = 0)
+    JacobiSVD(Index rows, Index cols, unsigned int computationOptions = 0)
     {
       allocate(rows, cols, computationOptions);
     }