diff --git a/Eigen/src/Core/Transpose.h b/Eigen/src/Core/Transpose.h
index 976708a0f..aba3f6670 100644
--- a/Eigen/src/Core/Transpose.h
+++ b/Eigen/src/Core/Transpose.h
@@ -293,7 +293,8 @@ struct inplace_transpose_selector<MatrixType,false> { // non square matrix
   * Notice however that this method is only useful if you want to replace a matrix by its own transpose.
   * If you just need the transpose of a matrix, use transpose().
   *
-  * \note if the matrix is not square, then \c *this must be a resizable matrix.
+  * \note if the matrix is not square, then \c *this must be a resizable matrix. 
+  * This excludes (non-square) fixed-size matrices, block-expressions and maps.
   *
   * \sa transpose(), adjoint(), adjointInPlace() */
 template<typename Derived>
@@ -324,6 +325,7 @@ inline void DenseBase<Derived>::transposeInPlace()
   * If you just need the adjoint of a matrix, use adjoint().
   *
   * \note if the matrix is not square, then \c *this must be a resizable matrix.
+  * This excludes (non-square) fixed-size matrices, block-expressions and maps.
   *
   * \sa transpose(), adjoint(), transposeInPlace() */
 template<typename Derived>
diff --git a/Eigen/src/Core/products/GeneralBlockPanelKernel.h b/Eigen/src/Core/products/GeneralBlockPanelKernel.h
index 9caa15081..98c3a5955 100644
--- a/Eigen/src/Core/products/GeneralBlockPanelKernel.h
+++ b/Eigen/src/Core/products/GeneralBlockPanelKernel.h
@@ -1144,6 +1144,8 @@ EIGEN_DONT_INLINE void gemm_pack_lhs<Scalar, Index, Pack1, Pack2, StorageOrder,
   enum { PacketSize = packet_traits<Scalar>::size };
 
   EIGEN_ASM_COMMENT("EIGEN PRODUCT PACK LHS");
+  EIGEN_UNUSED_VARIABLE(stride);
+  EIGEN_UNUSED_VARIABLE(offset);
   eigen_assert(((!PanelMode) && stride==0 && offset==0) || (PanelMode && stride>=depth && offset<=stride));
   eigen_assert( (StorageOrder==RowMajor) || ((Pack1%PacketSize)==0 && Pack1<=4*PacketSize) );
   conj_if<NumTraits<Scalar>::IsComplex && Conjugate> cj;
@@ -1231,6 +1233,8 @@ EIGEN_DONT_INLINE void gemm_pack_rhs<Scalar, Index, nr, ColMajor, Conjugate, Pan
   ::operator()(Scalar* blockB, const Scalar* rhs, Index rhsStride, Index depth, Index cols, Index stride, Index offset)
 {
   EIGEN_ASM_COMMENT("EIGEN PRODUCT PACK RHS COLMAJOR");
+  EIGEN_UNUSED_VARIABLE(stride);
+  EIGEN_UNUSED_VARIABLE(offset);
   eigen_assert(((!PanelMode) && stride==0 && offset==0) || (PanelMode && stride>=depth && offset<=stride));
   conj_if<NumTraits<Scalar>::IsComplex && Conjugate> cj;
   Index packet_cols = (cols/nr) * nr;
@@ -1282,6 +1286,8 @@ EIGEN_DONT_INLINE void gemm_pack_rhs<Scalar, Index, nr, RowMajor, Conjugate, Pan
   ::operator()(Scalar* blockB, const Scalar* rhs, Index rhsStride, Index depth, Index cols, Index stride, Index offset)
 {
   EIGEN_ASM_COMMENT("EIGEN PRODUCT PACK RHS ROWMAJOR");
+  EIGEN_UNUSED_VARIABLE(stride);
+  EIGEN_UNUSED_VARIABLE(offset);
   eigen_assert(((!PanelMode) && stride==0 && offset==0) || (PanelMode && stride>=depth && offset<=stride));
   conj_if<NumTraits<Scalar>::IsComplex && Conjugate> cj;
   Index packet_cols = (cols/nr) * nr;
diff --git a/Eigen/src/Core/products/GeneralMatrixVector.h b/Eigen/src/Core/products/GeneralMatrixVector.h
index 7bf350c42..59fc54c4e 100644
--- a/Eigen/src/Core/products/GeneralMatrixVector.h
+++ b/Eigen/src/Core/products/GeneralMatrixVector.h
@@ -80,11 +80,8 @@ EIGEN_DONT_INLINE static void run(
   Index rows, Index cols,
   const LhsScalar* lhs, Index lhsStride,
   const RhsScalar* rhs, Index rhsIncr,
-  ResScalar* res, Index
-  #ifdef EIGEN_INTERNAL_DEBUGGING
-    resIncr
-  #endif
-  , RhsScalar alpha);
+        ResScalar* res, Index resIncr,
+  RhsScalar alpha);
 };
 
 template<typename Index, typename LhsScalar, bool ConjugateLhs, typename RhsScalar, bool ConjugateRhs, int Version>
@@ -92,12 +89,10 @@ EIGEN_DONT_INLINE void general_matrix_vector_product<Index,LhsScalar,ColMajor,Co
   Index rows, Index cols,
   const LhsScalar* lhs, Index lhsStride,
   const RhsScalar* rhs, Index rhsIncr,
-  ResScalar* res, Index
-  #ifdef EIGEN_INTERNAL_DEBUGGING
-    resIncr
-  #endif
-  , RhsScalar alpha)
+        ResScalar* res, Index resIncr,
+  RhsScalar alpha)
 {
+  EIGEN_UNUSED_VARIABLE(resIncr);
   eigen_internal_assert(resIncr==1);
   #ifdef _EIGEN_ACCUMULATE_PACKETS
   #error _EIGEN_ACCUMULATE_PACKETS has already been defined
@@ -351,7 +346,7 @@ EIGEN_DONT_INLINE static void run(
   Index rows, Index cols,
   const LhsScalar* lhs, Index lhsStride,
   const RhsScalar* rhs, Index rhsIncr,
-  ResScalar* res, Index resIncr,
+        ResScalar* res, Index resIncr,
   ResScalar alpha);
 };
 
@@ -365,6 +360,7 @@ EIGEN_DONT_INLINE void general_matrix_vector_product<Index,LhsScalar,RowMajor,Co
 {
   EIGEN_UNUSED_VARIABLE(rhsIncr);
   eigen_internal_assert(rhsIncr==1);
+  
   #ifdef _EIGEN_ACCUMULATE_PACKETS
   #error _EIGEN_ACCUMULATE_PACKETS has already been defined
   #endif
diff --git a/Eigen/src/Core/util/Macros.h b/Eigen/src/Core/util/Macros.h
index d6d5bfa23..733d3403e 100644
--- a/Eigen/src/Core/util/Macros.h
+++ b/Eigen/src/Core/util/Macros.h
@@ -261,7 +261,12 @@
 #endif
 
 // Suppresses 'unused variable' warnings.
-#define EIGEN_UNUSED_VARIABLE(var) (void)var;
+namespace Eigen {
+  namespace internal {
+    template<typename T> void ignore_unused_variable(const T&) {}
+  }
+}
+#define EIGEN_UNUSED_VARIABLE(var) Eigen::internal::ignore_unused_variable(var);
 
 #if !defined(EIGEN_ASM_COMMENT)
   #if (defined __GNUC__) && ( defined(__i386__) || defined(__x86_64__) )
diff --git a/Eigen/src/SparseCore/SparseMatrix.h b/Eigen/src/SparseCore/SparseMatrix.h
index 0e7e760fb..9ac18bcf6 100644
--- a/Eigen/src/SparseCore/SparseMatrix.h
+++ b/Eigen/src/SparseCore/SparseMatrix.h
@@ -223,7 +223,7 @@ class SparseMatrix
       
       if(isCompressed())
       {
-        reserve(VectorXi::Constant(outerSize(), 2));
+        reserve(Matrix<Index,Dynamic,1>::Constant(outerSize(), 2));
       }
       return insertUncompressed(row,col);
     }
@@ -939,12 +939,13 @@ void set_from_triplets(const InputIterator& begin, const InputIterator& end, Spa
   EIGEN_UNUSED_VARIABLE(Options);
   enum { IsRowMajor = SparseMatrixType::IsRowMajor };
   typedef typename SparseMatrixType::Scalar Scalar;
+  typedef typename SparseMatrixType::Index Index;
   SparseMatrix<Scalar,IsRowMajor?ColMajor:RowMajor> trMat(mat.rows(),mat.cols());
 
   if(begin!=end)
   {
     // pass 1: count the nnz per inner-vector
-    VectorXi wi(trMat.outerSize());
+    Matrix<Index,Dynamic,1> wi(trMat.outerSize());
     wi.setZero();
     for(InputIterator it(begin); it!=end; ++it)
     {
@@ -1018,7 +1019,7 @@ void SparseMatrix<Scalar,_Options,_Index>::sumupDuplicates()
 {
   eigen_assert(!isCompressed());
   // TODO, in practice we should be able to use m_innerNonZeros for that task
-  VectorXi wi(innerSize());
+  Matrix<Index,Dynamic,1> wi(innerSize());
   wi.fill(-1);
   Index count = 0;
   // for each inner-vector, wi[inner_index] will hold the position of first element into the index/value buffers
@@ -1081,7 +1082,7 @@ EIGEN_DONT_INLINE SparseMatrix<Scalar,_Options,_Index>& SparseMatrix<Scalar,_Opt
 
     // prefix sum
     Index count = 0;
-    VectorXi positions(dest.outerSize());
+    Matrix<Index,Dynamic,1> positions(dest.outerSize());
     for (Index j=0; j<dest.outerSize(); ++j)
     {
       Index tmp = dest.m_outerIndex[j];
diff --git a/Eigen/src/SparseCore/SparsePermutation.h b/Eigen/src/SparseCore/SparsePermutation.h
index b897b7595..b85be93f6 100644
--- a/Eigen/src/SparseCore/SparsePermutation.h
+++ b/Eigen/src/SparseCore/SparsePermutation.h
@@ -57,7 +57,7 @@ struct permut_sparsematrix_product_retval
       if(MoveOuter)
       {
         SparseMatrix<Scalar,SrcStorageOrder,Index> tmp(m_matrix.rows(), m_matrix.cols());
-        VectorXi sizes(m_matrix.outerSize());
+        Matrix<Index,Dynamic,1> sizes(m_matrix.outerSize());
         for(Index j=0; j<m_matrix.outerSize(); ++j)
         {
           Index jp = m_permutation.indices().coeff(j);
@@ -77,7 +77,7 @@ struct permut_sparsematrix_product_retval
       else
       {
         SparseMatrix<Scalar,int(SrcStorageOrder)==RowMajor?ColMajor:RowMajor,Index> tmp(m_matrix.rows(), m_matrix.cols());
-        VectorXi sizes(tmp.outerSize());
+        Matrix<Index,Dynamic,1> sizes(tmp.outerSize());
         sizes.setZero();
         PermutationMatrix<Dynamic,Dynamic,Index> perm;
         if((Side==OnTheLeft) ^ Transposed)
diff --git a/test/array.cpp b/test/array.cpp
index f1deda7e3..5f49fc1ea 100644
--- a/test/array.cpp
+++ b/test/array.cpp
@@ -173,21 +173,14 @@ template<typename ArrayType> void array_real(const ArrayType& m)
   Scalar  s1 = internal::random<Scalar>();
 
   // these tests are mostly to check possible compilation issues.
-//   VERIFY_IS_APPROX(m1.sin(), std::sin(m1));
   VERIFY_IS_APPROX(m1.sin(), sin(m1));
-//   VERIFY_IS_APPROX(m1.cos(), std::cos(m1));
   VERIFY_IS_APPROX(m1.cos(), cos(m1));
-//   VERIFY_IS_APPROX(m1.asin(), std::asin(m1));
   VERIFY_IS_APPROX(m1.asin(), asin(m1));
-//   VERIFY_IS_APPROX(m1.acos(), std::acos(m1));
   VERIFY_IS_APPROX(m1.acos(), acos(m1));
-//   VERIFY_IS_APPROX(m1.tan(), std::tan(m1));
   VERIFY_IS_APPROX(m1.tan(), tan(m1));
   
   VERIFY_IS_APPROX(cos(m1+RealScalar(3)*m2), cos((m1+RealScalar(3)*m2).eval()));
-//   VERIFY_IS_APPROX(std::cos(m1+RealScalar(3)*m2), std::cos((m1+RealScalar(3)*m2).eval()));
 
-//   VERIFY_IS_APPROX(m1.abs().sqrt(), std::sqrt(std::abs(m1)));
   VERIFY_IS_APPROX(m1.abs().sqrt(), sqrt(abs(m1)));
   VERIFY_IS_APPROX(m1.abs(), sqrt(numext::abs2(m1)));
 
@@ -196,9 +189,10 @@ template<typename ArrayType> void array_real(const ArrayType& m)
   if(!NumTraits<Scalar>::IsComplex)
     VERIFY_IS_APPROX(numext::real(m1), m1);
 
-  VERIFY_IS_APPROX(m1.abs().log() , log(abs(m1)));
+  // shift argument of logarithm so that it is not zero
+  Scalar smallNumber = NumTraits<Scalar>::dummy_precision();
+  VERIFY_IS_APPROX((m1.abs() + smallNumber).log() , log(abs(m1) + smallNumber));
 
-//   VERIFY_IS_APPROX(m1.exp(), std::exp(m1));
   VERIFY_IS_APPROX(m1.exp() * m2.exp(), exp(m1+m2));
   VERIFY_IS_APPROX(m1.exp(), exp(m1));
   VERIFY_IS_APPROX(m1.exp() / m2.exp(),(m1-m2).exp());
@@ -242,7 +236,6 @@ template<typename ArrayType> void array_complex(const ArrayType& m)
       m2(i,j) = sqrt(m1(i,j));
 
   VERIFY_IS_APPROX(m1.sqrt(), m2);
-//   VERIFY_IS_APPROX(m1.sqrt(), std::sqrt(m1));
   VERIFY_IS_APPROX(m1.sqrt(), Eigen::sqrt(m1));
 }