Get rid of include directives inside namespace blocks (bug #339).

unsupported/Eigen/BVH

@@ -97,8 +97,9 @@ namespace Eigen {
   * The following is a simple but complete example for how to use the BVH to accelerate the search for a closest red-blue point pair:
   * \include BVH_Example.cpp
   * Output: \verbinclude BVH_Example.out
-
   */
+}
+
 //@{
 
 #include "src/BVH/BVAlgorithms.h"
@@ -106,6 +107,4 @@ namespace Eigen {
 
 //@}
 
-}
-
 #endif // EIGEN_BVH_MODULE_H

unsupported/Eigen/FFT

@@ -86,23 +86,23 @@
 #ifdef EIGEN_FFTW_DEFAULT
 // FFTW: faster, GPL -- incompatible with Eigen in LGPL form, bigger code size
 #  include <fftw3.h>
+#  include "src/FFT/ei_fftw_impl.h"
    namespace Eigen {
-#    include "src/FFT/ei_fftw_impl.h"
      //template <typename T> typedef struct internal::fftw_impl  default_fft_impl; this does not work
      template <typename T> struct default_fft_impl : public internal::fftw_impl<T> {};
    }
 #elif defined EIGEN_MKL_DEFAULT
 // TODO 
 // intel Math Kernel Library: fastest, commercial -- may be incompatible with Eigen in GPL form
+#  include "src/FFT/ei_imklfft_impl.h"
    namespace Eigen {
-#    include "src/FFT/ei_imklfft_impl.h"
      template <typename T> struct default_fft_impl : public internal::imklfft_impl {};
    }
 #else
 // internal::kissfft_impl:  small, free, reasonably efficient default, derived from kissfft
 //
+# include "src/FFT/ei_kissfft_impl.h"
   namespace Eigen {
-#   include "src/FFT/ei_kissfft_impl.h"
      template <typename T> 
        struct default_fft_impl : public internal::kissfft_impl<T> {};
   }

unsupported/Eigen/IterativeSolvers

@@ -27,8 +27,6 @@
 
 #include <Eigen/Sparse>
 
-namespace Eigen {
-
 /** \ingroup Unsupported_modules
   * \defgroup IterativeSolvers_Module Iterative solvers module
   * This module aims to provide various iterative linear and non linear solver algorithms.
@@ -54,6 +52,4 @@ namespace Eigen {
 
 //@}
 
-}
-
 #endif // EIGEN_ITERATIVE_SOLVERS_MODULE_H

unsupported/Eigen/KroneckerProduct

@@ -17,10 +17,10 @@ namespace Eigen {
   * \endcode
   */
 
-#include "src/KroneckerProduct/KroneckerTensorProduct.h"
-
 } // namespace Eigen
 
+#include "src/KroneckerProduct/KroneckerTensorProduct.h"
+
 #include "../../Eigen/src/Core/util/ReenableStupidWarnings.h"
 
 #endif // EIGEN_KRONECKER_PRODUCT_MODULE_H

unsupported/Eigen/MatrixFunctions

@@ -34,8 +34,6 @@
 #include <Eigen/LU>
 #include <Eigen/Eigenvalues>
 
-namespace Eigen {
-
 /** \ingroup Unsupported_modules
   * \defgroup MatrixFunctions_Module Matrix functions module
   * \brief This module aims to provide various methods for the computation of
@@ -393,7 +391,5 @@ Output: \verbinclude MatrixSquareRoot.out
 
 */
 
-}
-
 #endif // EIGEN_MATRIX_FUNCTIONS
 

unsupported/Eigen/MoreVectorization

@@ -9,8 +9,8 @@ namespace Eigen {
   * \defgroup MoreVectorization More vectorization module
   */
 
-#include "src/MoreVectorization/MathFunctions.h"
-
 }
 
+#include "src/MoreVectorization/MathFunctions.h"
+
 #endif // EIGEN_MOREVECTORIZATION_MODULE_H

unsupported/Eigen/NonLinearOptimization

@@ -32,8 +32,6 @@
 #include <Eigen/QR>
 #include <unsupported/Eigen/NumericalDiff>
 
-namespace Eigen {
-
 /** \ingroup Unsupported_modules
   * \defgroup NonLinearOptimization_Module Non linear optimization module
   *
@@ -147,8 +145,5 @@ namespace Eigen {
 #include "src/NonLinearOptimization/HybridNonLinearSolver.h"
 #include "src/NonLinearOptimization/LevenbergMarquardt.h"
 
-}
-
-
 
 #endif // EIGEN_NONLINEAROPTIMIZATION_MODULE

unsupported/Eigen/NumericalDiff

@@ -59,12 +59,13 @@ namespace Eigen {
   * package.
   *
   */
+}
+
 //@{
 
 #include "src/NumericalDiff/NumericalDiff.h"
 
 //@}
-}
 
 
 #endif // EIGEN_NUMERICALDIFF_MODULE

unsupported/Eigen/Polynomials

@@ -16,8 +16,6 @@
   #undef EIGEN_HIDE_HEAVY_CODE
 #endif
 
-namespace Eigen {
-
 /** \ingroup Unsupported_modules
   * \defgroup Polynomials_Module Polynomials module
   *
@@ -129,8 +127,6 @@ namespace Eigen {
   Output: \verbinclude PolynomialSolver1.out
 */
 
-} // namespace Eigen
-
 #include <Eigen/src/Core/util/ReenableStupidWarnings.h>
 
 #endif // EIGEN_POLYNOMIALS_MODULE_H

unsupported/Eigen/Skyline

@@ -11,15 +11,13 @@
 #include <cstring>
 #include <algorithm>
 
-namespace Eigen {
-
-    /** \ingroup Unsupported_modules
-     *  \defgroup Skyline_Module Skyline module
-     *
-     *
-     *
-     *
-     */
+/** \ingroup Unsupported_modules
+ *  \defgroup Skyline_Module Skyline module
+ *
+ *
+ *
+ *
+ */
 
 #include "src/Skyline/SkylineUtil.h"
 #include "src/Skyline/SkylineMatrixBase.h"
@@ -28,8 +26,6 @@ namespace Eigen {
 #include "src/Skyline/SkylineInplaceLU.h"
 #include "src/Skyline/SkylineProduct.h"
 
-} // namespace Eigen
-
 #include "Eigen/src/Core/util/ReenableStupidWarnings.h"
 
 #endif // EIGEN_SKYLINE_MODULE_H

unsupported/Eigen/SparseExtra

@@ -17,8 +17,6 @@
   #include <google/dense_hash_map>
 #endif
 
-namespace Eigen {
-
 /** \ingroup Unsupported_modules
   * \defgroup SparseExtra_Module SparseExtra module
   *
@@ -38,7 +36,6 @@ namespace Eigen {
 #include "src/SparseExtra/RandomSetter.h"
 
 #include "src/SparseExtra/MarketIO.h"
-} // namespace Eigen
 
 #if !defined(_WIN32)
 #include <dirent.h>

unsupported/Eigen/Splines

@@ -37,16 +37,10 @@ namespace Eigen
   * #include <unsupported/Eigen/Splines>
   * \endcode
   */
-//@{
 }
 
 #include "src/Splines/SplineFwd.h"
 #include "src/Splines/Spline.h"
 #include "src/Splines/SplineFitting.h"
 
-namespace Eigen 
-{
-//@}
-}
-
 #endif // EIGEN_SPLINES_MODULE_H

unsupported/Eigen/src/BVH/BVAlgorithms.h

@@ -25,6 +25,8 @@
 #ifndef EIGEN_BVALGORITHMS_H
 #define EIGEN_BVALGORITHMS_H
 
+namespace Eigen { 
+
 namespace internal {
 
 #ifndef EIGEN_PARSED_BY_DOXYGEN
@@ -301,4 +303,6 @@ typename Minimizer::Scalar BVMinimize(const BVH1 &tree1, const BVH2 &tree2, Mini
   return minimum;
 }
 
+} // end namespace Eigen
+
 #endif // EIGEN_BVALGORITHMS_H

unsupported/Eigen/src/BVH/KdBVH.h

@@ -25,6 +25,8 @@
 #ifndef KDBVH_H_INCLUDED
 #define KDBVH_H_INCLUDED
 
+namespace Eigen { 
+
 namespace internal {
 
 //internal pair class for the BVH--used instead of std::pair because of alignment
@@ -230,4 +232,6 @@ private:
   ObjectList objects;
 };
 
+} // end namespace Eigen
+
 #endif //KDBVH_H_INCLUDED

unsupported/Eigen/src/FFT/ei_fftw_impl.h

@@ -22,6 +22,8 @@
 // License and a copy of the GNU General Public License along with
 // Eigen. If not, see <http://www.gnu.org/licenses/>.
 
+namespace Eigen { 
+
 namespace internal {
 
   // FFTW uses non-const arguments
@@ -269,4 +271,6 @@ namespace internal {
 
 } // end namespace internal
 
+} // end namespace Eigen
+
 /* vim: set filetype=cpp et sw=2 ts=2 ai: */

unsupported/Eigen/src/FFT/ei_kissfft_impl.h

@@ -22,6 +22,8 @@
 // License and a copy of the GNU General Public License along with
 // Eigen. If not, see <http://www.gnu.org/licenses/>.
 
+namespace Eigen { 
+
 namespace internal {
 
   // This FFT implementation was derived from kissfft http:sourceforge.net/projects/kissfft
@@ -426,5 +428,6 @@ struct kissfft_impl
 
 } // end namespace internal
 
-/* vim: set filetype=cpp et sw=2 ts=2 ai: */
+} // end namespace Eigen
 
+/* vim: set filetype=cpp et sw=2 ts=2 ai: */

unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h

@@ -50,6 +50,8 @@
 
 #include <Eigen/Core>
 
+namespace Eigen { 
+
 namespace internal {
 
 /** \ingroup IterativeSolvers_Module
@@ -195,4 +197,6 @@ void constrained_cg(const TMatrix& A, const CMatrix& C, VectorX& x,
 
 } // end namespace internal
 
+} // end namespace Eigen
+
 #endif // EIGEN_CONSTRAINEDCG_H

unsupported/Eigen/src/IterativeSolvers/GMRES.h

@@ -26,6 +26,8 @@
 #ifndef EIGEN_GMRES_H
 #define EIGEN_GMRES_H
 
+namespace Eigen { 
+
 namespace internal {
 
 /**
@@ -385,6 +387,8 @@ struct solve_retval<GMRES<_MatrixType, _Preconditioner>, Rhs>
   }
 };
 
-}
+} // end namespace internal
+
+} // end namespace Eigen
 
 #endif // EIGEN_GMRES_H

unsupported/Eigen/src/IterativeSolvers/IncompleteLU.h

@@ -25,6 +25,8 @@
 #ifndef EIGEN_INCOMPLETE_LU_H
 #define EIGEN_INCOMPLETE_LU_H
 
+namespace Eigen { 
+
 template <typename _Scalar>
 class IncompleteLU
 {
@@ -119,6 +121,8 @@ struct solve_retval<IncompleteLU<_MatrixType>, Rhs>
   }
 };
 
-}
+} // end namespace internal
+
+} // end namespace Eigen
 
 #endif // EIGEN_INCOMPLETE_LU_H

unsupported/Eigen/src/IterativeSolvers/IterationController.h

@@ -75,6 +75,8 @@
 #ifndef EIGEN_ITERATION_CONTROLLER_H
 #define EIGEN_ITERATION_CONTROLLER_H
 
+namespace Eigen { 
+
 /** \ingroup IterativeSolvers_Module
   * \class IterationController
   *
@@ -163,4 +165,6 @@ class IterationController
 
 };
 
+} // end namespace Eigen
+
 #endif // EIGEN_ITERATION_CONTROLLER_H

unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h

@@ -28,6 +28,8 @@
 #define KRONECKER_TENSOR_PRODUCT_H
 
 
+namespace Eigen { 
+
 namespace internal {
 
 /*!
@@ -165,4 +167,6 @@ void kroneckerProduct(const SparseMatrixBase<A>& a, const SparseMatrixBase<B>& b
   internal::kroneckerProduct_sparse(a.derived(), b.derived(), c.derived());
 }
 
+} // end namespace Eigen
+
 #endif // KRONECKER_TENSOR_PRODUCT_H

unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h

@@ -28,6 +28,8 @@
 
 #include "StemFunction.h"
 
+namespace Eigen { 
+
 #if defined(_MSC_VER) || defined(__FreeBSD__)
   template <typename Scalar> Scalar log2(Scalar v) { using std::log; return log(v)/log(Scalar(2)); }
 #endif
@@ -462,4 +464,6 @@ const MatrixExponentialReturnValue<Derived> MatrixBase<Derived>::exp() const
   return MatrixExponentialReturnValue<Derived>(derived());
 }
 
+} // end namespace Eigen
+
 #endif // EIGEN_MATRIX_EXPONENTIAL

unsupported/Eigen/src/MatrixFunctions/MatrixFunction.h

@@ -29,6 +29,8 @@
 #include "MatrixFunctionAtomic.h"
 
 
+namespace Eigen { 
+
 /** \ingroup MatrixFunctions_Module
   * \brief Class for computing matrix functions.
   * \tparam  MatrixType  type of the argument of the matrix function,
@@ -598,4 +600,6 @@ const MatrixFunctionReturnValue<Derived> MatrixBase<Derived>::cosh() const
   return MatrixFunctionReturnValue<Derived>(derived(), StdStemFunctions<ComplexScalar>::cosh);
 }
 
+} // end namespace Eigen
+
 #endif // EIGEN_MATRIX_FUNCTION

unsupported/Eigen/src/MatrixFunctions/MatrixFunctionAtomic.h

@@ -25,6 +25,8 @@
 #ifndef EIGEN_MATRIX_FUNCTION_ATOMIC
 #define EIGEN_MATRIX_FUNCTION_ATOMIC
 
+namespace Eigen { 
+
 /** \ingroup MatrixFunctions_Module
   * \class MatrixFunctionAtomic
   * \brief Helper class for computing matrix functions of atomic matrices.
@@ -139,4 +141,6 @@ bool MatrixFunctionAtomic<MatrixType>::taylorConverged(Index s, const MatrixType
   return false;
 }
 
+} // end namespace Eigen
+
 #endif // EIGEN_MATRIX_FUNCTION_ATOMIC

unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h

@@ -30,6 +30,8 @@
 #define M_PI 3.141592653589793238462643383279503L
 #endif
 
+namespace Eigen { 
+
 /** \ingroup MatrixFunctions_Module
   * \class MatrixLogarithmAtomic
   * \brief Helper class for computing matrix logarithm of atomic matrices.
@@ -503,4 +505,6 @@ const MatrixLogarithmReturnValue<Derived> MatrixBase<Derived>::log() const
   return MatrixLogarithmReturnValue<Derived>(derived());
 }
 
+} // end namespace Eigen
+
 #endif // EIGEN_MATRIX_LOGARITHM

unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h

@@ -25,6 +25,8 @@
 #ifndef EIGEN_MATRIX_SQUARE_ROOT
 #define EIGEN_MATRIX_SQUARE_ROOT
 
+namespace Eigen { 
+
 /** \ingroup MatrixFunctions_Module
   * \brief Class for computing matrix square roots of upper quasi-triangular matrices.
   * \tparam  MatrixType  type of the argument of the matrix square root,
@@ -492,4 +494,6 @@ const MatrixSquareRootReturnValue<Derived> MatrixBase<Derived>::sqrt() const
   return MatrixSquareRootReturnValue<Derived>(derived());
 }
 
+} // end namespace Eigen
+
 #endif // EIGEN_MATRIX_FUNCTION

unsupported/Eigen/src/MatrixFunctions/StemFunction.h

@@ -25,6 +25,8 @@
 #ifndef EIGEN_STEM_FUNCTION
 #define EIGEN_STEM_FUNCTION
 
+namespace Eigen { 
+
 /** \ingroup MatrixFunctions_Module 
   * \brief Stem functions corresponding to standard mathematical functions.
   */
@@ -113,4 +115,6 @@ class StdStemFunctions
 
 }; // end of class StdStemFunctions
 
+} // end namespace Eigen
+
 #endif // EIGEN_STEM_FUNCTION

unsupported/Eigen/src/MoreVectorization/MathFunctions.h

@@ -26,6 +26,8 @@
 #ifndef EIGEN_MOREVECTORIZATION_MATHFUNCTIONS_H
 #define EIGEN_MOREVECTORIZATION_MATHFUNCTIONS_H
 
+namespace Eigen { 
+
 namespace internal {
 
 /** \internal \returns the arcsin of \a a (coeff-wise) */
@@ -99,8 +101,10 @@ template<> EIGEN_DONT_INLINE Packet4f pasin(Packet4f x)
   return _mm_xor_ps(z, sign_bit);
 }
 
+#endif // EIGEN_VECTORIZE_SSE
+
 } // end namespace internal
 
-#endif
+} // end namespace Eigen
 
 #endif // EIGEN_MOREVECTORIZATION_MATHFUNCTIONS_H

unsupported/Eigen/src/NonLinearOptimization/HybridNonLinearSolver.h

@@ -28,6 +28,8 @@
 #ifndef EIGEN_HYBRIDNONLINEARSOLVER_H
 #define EIGEN_HYBRIDNONLINEARSOLVER_H
 
+namespace Eigen { 
+
 namespace HybridNonLinearSolverSpace { 
     enum Status {
         Running = -1,
@@ -602,6 +604,8 @@ HybridNonLinearSolver<FunctorType,Scalar>::solveNumericalDiff(FVectorType  &x)
     return status;
 }
 
-//vim: ai ts=4 sts=4 et sw=4
+} // end namespace Eigen
+
 #endif // EIGEN_HYBRIDNONLINEARSOLVER_H
 
+//vim: ai ts=4 sts=4 et sw=4

unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h

@@ -28,6 +28,7 @@
 #ifndef EIGEN_LEVENBERGMARQUARDT__H
 #define EIGEN_LEVENBERGMARQUARDT__H
 
+namespace Eigen { 
 
 namespace LevenbergMarquardtSpace {
     enum Status {
@@ -651,6 +652,8 @@ LevenbergMarquardt<FunctorType,Scalar>::lmdif1(
     return info;
 }
 
-//vim: ai ts=4 sts=4 et sw=4
+} // end namespace Eigen
+
 #endif // EIGEN_LEVENBERGMARQUARDT__H
 
+//vim: ai ts=4 sts=4 et sw=4

unsupported/Eigen/src/NonLinearOptimization/chkder.h

@@ -2,6 +2,8 @@
 #define chkder_log10e 0.43429448190325182765
 #define chkder_factor 100.
 
+namespace Eigen { 
+
 namespace internal {
 
 template<typename Scalar>
@@ -58,3 +60,4 @@ void chkder(
 
 } // end namespace internal
 
+} // end namespace Eigen

unsupported/Eigen/src/NonLinearOptimization/covar.h

@@ -1,3 +1,5 @@
+namespace Eigen { 
+
 namespace internal {
 
 template <typename Scalar>
@@ -63,3 +65,5 @@ void covar(
 }
 
 } // end namespace internal
+
+} // end namespace Eigen

unsupported/Eigen/src/NonLinearOptimization/dogleg.h

@@ -1,3 +1,5 @@
+namespace Eigen { 
+
 namespace internal {
 
 template <typename Scalar>
@@ -98,3 +100,5 @@ algo_end:
 }
 
 } // end namespace internal
+
+} // end namespace Eigen

unsupported/Eigen/src/NonLinearOptimization/fdjac1.h

@@ -1,3 +1,5 @@
+namespace Eigen { 
+
 namespace internal {
 
 template<typename FunctorType, typename Scalar>
@@ -70,3 +72,5 @@ DenseIndex fdjac1(
 }
 
 } // end namespace internal
+
+} // end namespace Eigen

unsupported/Eigen/src/NonLinearOptimization/lmpar.h

@@ -1,3 +1,5 @@
+namespace Eigen { 
+
 namespace internal {
 
 template <typename Scalar>
@@ -288,3 +290,5 @@ void lmpar2(
 }
 
 } // end namespace internal
+
+} // end namespace Eigen

unsupported/Eigen/src/NonLinearOptimization/qrsolv.h

@@ -1,3 +1,5 @@
+namespace Eigen { 
+
 namespace internal {
 
 // TODO : once qrsolv2 is removed, use ColPivHouseholderQR or PermutationMatrix instead of ipvt
@@ -85,3 +87,5 @@ void qrsolv(
 }
 
 } // end namespace internal
+
+} // end namespace Eigen

unsupported/Eigen/src/NonLinearOptimization/r1mpyq.h

@@ -1,3 +1,5 @@
+namespace Eigen { 
+
 namespace internal {
 
 // TODO : move this to GivensQR once there's such a thing in Eigen
@@ -24,3 +26,5 @@ void r1mpyq(DenseIndex m, DenseIndex n, Scalar *a, const std::vector<JacobiRotat
 }
 
 } // end namespace internal
+
+} // end namespace Eigen

unsupported/Eigen/src/NonLinearOptimization/r1updt.h

@@ -1,3 +1,5 @@
+namespace Eigen { 
+
 namespace internal {
 
 template <typename Scalar>
@@ -93,3 +95,5 @@ void r1updt(
 }
 
 } // end namespace internal
+
+} // end namespace Eigen

unsupported/Eigen/src/NonLinearOptimization/rwupdt.h

@@ -1,3 +1,5 @@
+namespace Eigen { 
+
 namespace internal {
 
 template <typename Scalar>
@@ -44,3 +46,4 @@ void rwupdt(
 
 } // end namespace internal
 
+} // end namespace Eigen

unsupported/Eigen/src/NumericalDiff/NumericalDiff.h

@@ -28,6 +28,8 @@
 #ifndef EIGEN_NUMERICAL_DIFF_H
 #define EIGEN_NUMERICAL_DIFF_H
 
+namespace Eigen { 
+
 enum NumericalDiffMode {
     Forward,
     Central
@@ -134,6 +136,8 @@ private:
     NumericalDiff& operator=(const NumericalDiff&);
 };
 
+} // end namespace Eigen
+
 //vim: ai ts=4 sts=4 et sw=4
 #endif // EIGEN_NUMERICAL_DIFF_H
 

unsupported/Eigen/src/Polynomials/Companion.h

@@ -29,10 +29,12 @@
 // * Eigen/Core
 // * Eigen/src/PolynomialSolver.h
 
-#ifndef EIGEN_PARSED_BY_DOXYGEN
+namespace Eigen { 
 
 namespace internal {
 
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+
 template <typename T>
 T radix(){ return 2; }
 
@@ -283,4 +285,6 @@ void companion<_Scalar,_Deg>::balance()
 
 } // end namespace internal
 
+} // end namespace Eigen
+
 #endif // EIGEN_COMPANION_H

unsupported/Eigen/src/Polynomials/PolynomialSolver.h

@@ -25,6 +25,8 @@
 #ifndef EIGEN_POLYNOMIAL_SOLVER_H
 #define EIGEN_POLYNOMIAL_SOLVER_H
 
+namespace Eigen { 
+
 /** \ingroup Polynomials_Module
  *  \class PolynomialSolverBase.
  *
@@ -394,4 +396,6 @@ class PolynomialSolver<_Scalar,1> : public PolynomialSolverBase<_Scalar,1>
     using                   PS_Base::m_roots;
 };
 
+} // end namespace Eigen
+
 #endif // EIGEN_POLYNOMIAL_SOLVER_H

unsupported/Eigen/src/Polynomials/PolynomialUtils.h

@@ -25,6 +25,8 @@
 #ifndef EIGEN_POLYNOMIAL_UTILS_H
 #define EIGEN_POLYNOMIAL_UTILS_H
 
+namespace Eigen { 
+
 /** \ingroup Polynomials_Module
  * \returns the evaluation of the polynomial at x using Horner algorithm.
  *
@@ -149,5 +151,6 @@ void roots_to_monicPolynomial( const RootVector& rv, Polynomial& poly )
   }
 }
 
+} // end namespace Eigen
 
 #endif // EIGEN_POLYNOMIAL_UTILS_H

unsupported/Eigen/src/Skyline/SkylineInplaceLU.h

@@ -25,6 +25,8 @@
 #ifndef EIGEN_SKYLINEINPLACELU_H
 #define EIGEN_SKYLINEINPLACELU_H
 
+namespace Eigen { 
+
 /** \ingroup Skyline_Module
  *
  * \class SkylineInplaceLU
@@ -360,4 +362,6 @@ bool SkylineInplaceLU<MatrixType>::solve(const MatrixBase<BDerived> &b, MatrixBa
     return true;
 }
 
+} // end namespace Eigen
+
 #endif // EIGEN_SKYLINELU_H

unsupported/Eigen/src/Skyline/SkylineMatrix.h

@@ -28,6 +28,8 @@
 #include "SkylineStorage.h"
 #include "SkylineMatrixBase.h"
 
+namespace Eigen { 
+
 /** \ingroup Skyline_Module
  *
  * \class SkylineMatrix
@@ -870,4 +872,6 @@ protected:
     const Index m_end;
 };
 
+} // end namespace Eigen
+
 #endif // EIGEN_SkylineMatrix_H

unsupported/Eigen/src/Skyline/SkylineMatrixBase.h

@@ -27,6 +27,8 @@
 
 #include "SkylineUtil.h"
 
+namespace Eigen { 
+
 /** \ingroup Skyline_Module
  *
  * \class SkylineMatrixBase
@@ -220,4 +222,6 @@ protected:
     bool m_isRValue;
 };
 
+} // end namespace Eigen
+
 #endif // EIGEN_SkylineMatrixBase_H

unsupported/Eigen/src/Skyline/SkylineProduct.h

@@ -25,6 +25,8 @@
 #ifndef EIGEN_SKYLINEPRODUCT_H
 #define EIGEN_SKYLINEPRODUCT_H
 
+namespace Eigen { 
+
 template<typename Lhs, typename Rhs, int ProductMode>
 struct SkylineProductReturnType {
     typedef const typename internal::nested<Lhs, Rhs::RowsAtCompileTime>::type LhsNested;
@@ -303,4 +305,6 @@ SkylineMatrixBase<Derived>::operator*(const MatrixBase<OtherDerived> &other) con
     return typename SkylineProductReturnType<Derived, OtherDerived>::Type(derived(), other.derived());
 }
 
+} // end namespace Eigen
+
 #endif // EIGEN_SKYLINEPRODUCT_H

unsupported/Eigen/src/Skyline/SkylineStorage.h

@@ -25,6 +25,8 @@
 #ifndef EIGEN_SKYLINE_STORAGE_H
 #define EIGEN_SKYLINE_STORAGE_H
 
+namespace Eigen { 
+
 /** Stores a skyline set of values in three structures :
  * The diagonal elements
  * The upper elements
@@ -267,4 +269,6 @@ public:
 
 };
 
+} // end namespace Eigen
+
 #endif // EIGEN_COMPRESSED_STORAGE_H

unsupported/Eigen/src/Skyline/SkylineUtil.h

@@ -25,6 +25,8 @@
 #ifndef EIGEN_SKYLINEUTIL_H
 #define EIGEN_SKYLINEUTIL_H
 
+namespace Eigen { 
+
 #ifdef NDEBUG
 #define EIGEN_DBG_SKYLINE(X)
 #else
@@ -97,5 +99,6 @@ template<typename T> class eval<T,IsSkyline>
 
 } // end namespace internal
 
+} // end namespace Eigen
 
 #endif // EIGEN_SKYLINEUTIL_H

unsupported/Eigen/src/SparseExtra/BlockOfDynamicSparseMatrix.h

@@ -25,6 +25,7 @@
 #ifndef EIGEN_SPARSE_BLOCKFORDYNAMICMATRIX_H
 #define EIGEN_SPARSE_BLOCKFORDYNAMICMATRIX_H
 
+namespace Eigen { 
 
 /***************************************************************************
 * specialisation for DynamicSparseMatrix
@@ -123,5 +124,6 @@ class SparseInnerVectorSet<DynamicSparseMatrix<_Scalar, _Options, _Index>, Size>
 
 };
 
+} // end namespace Eigen
 
 #endif // EIGEN_SPARSE_BLOCKFORDYNAMICMATRIX_H

unsupported/Eigen/src/SparseExtra/DynamicSparseMatrix.h

@@ -25,6 +25,8 @@
 #ifndef EIGEN_DYNAMIC_SPARSEMATRIX_H
 #define EIGEN_DYNAMIC_SPARSEMATRIX_H
 
+namespace Eigen { 
+
 /** \deprecated use a SparseMatrix in an uncompressed mode
   *
   * \class DynamicSparseMatrix
@@ -365,4 +367,6 @@ class DynamicSparseMatrix<Scalar,_Options,_Index>::ReverseInnerIterator : public
     const Index m_outer;
 };
 
+} // end namespace Eigen
+
 #endif // EIGEN_DYNAMIC_SPARSEMATRIX_H

unsupported/Eigen/src/SparseExtra/MarketIO.h

@@ -25,6 +25,9 @@
 
 #ifndef EIGEN_SPARSE_MARKET_IO_H
 #define EIGEN_SPARSE_MARKET_IO_H
+
+namespace Eigen { 
+
 namespace internal 
 {
   template <typename Scalar>
@@ -274,4 +277,7 @@ bool saveMarketVector (const VectorType& vec, const std::string& filename)
   out.close();
   return true; 
 }
+
+} // end namespace Eigen
+
 #endif // EIGEN_SPARSE_MARKET_IO_H

unsupported/Eigen/src/SparseExtra/RandomSetter.h

@@ -25,6 +25,8 @@
 #ifndef EIGEN_RANDOMSETTER_H
 #define EIGEN_RANDOMSETTER_H
 
+namespace Eigen { 
+
 /** Represents a std::map
   *
   * \see RandomSetter
@@ -335,4 +337,6 @@ class RandomSetter
     unsigned char m_keyBitsOffset;
 };
 
+} // end namespace Eigen
+
 #endif // EIGEN_RANDOMSETTER_H

unsupported/doc/Doxyfile.in

@@ -552,7 +552,6 @@ WARN_LOGFILE           =
 # with spaces.
 
 INPUT                  = "${Eigen_SOURCE_DIR}/unsupported/Eigen" \
-                         "${Eigen_SOURCE_DIR}/unsupported/Eigen/src/Splines" \
                          "${Eigen_SOURCE_DIR}/unsupported/doc"
 
 # This tag can be used to specify the character encoding of the source files
@@ -576,13 +575,14 @@ FILE_PATTERNS          = *
 # should be searched for input files as well. Possible values are YES and NO.
 # If left blank NO is used.
 
-RECURSIVE              = NO
+RECURSIVE              = YES
 
 # The EXCLUDE tag can be used to specify files and/or directories that should
 # excluded from the INPUT source files. This way you can easily exclude a
 # subdirectory from a directory tree whose root is specified with the INPUT tag.
 
-EXCLUDE                =
+EXCLUDE                = "${Eigen_SOURCE_DIR}/unsupported/doc/examples" \
+                         "${Eigen_SOURCE_DIR}/unsupported/doc/snippets" 
 
 # The EXCLUDE_SYMLINKS tag can be used select whether or not files or
 # directories that are symbolic links (a Unix filesystem feature) are excluded