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+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2006-2009 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2008-2009 Gael Guennebaud <g.gael@free.fr>
+//
+// Eigen is free software; you can redistribute it and/or
+// modify it under the terms of the GNU Lesser General Public
+// License as published by the Free Software Foundation; either
+// version 3 of the License, or (at your option) any later version.
+//
+// Alternatively, you can redistribute it and/or
+// modify it under the terms of the GNU General Public License as
+// published by the Free Software Foundation; either version 2 of
+// the License, or (at your option) any later version.
+//
+// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
+// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
+// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
+// GNU General Public License for more details.
+//
+// You should have received a copy of the GNU Lesser General Public
+// License and a copy of the GNU General Public License along with
+// Eigen. If not, see <http://www.gnu.org/licenses/>.
+
+#ifndef EIGEN_DENSEBASE_H
+#define EIGEN_DENSEBASE_H
+
+/** \class DenseBase
+ *
+ * \brief Base class for all dense matrices, vectors, and arrays
+ *
+ * This class is the base that is inherited by all dense objects (matrix, vector, arrays, and expression
+ * types). The common Eigen API for dense object is contained in this class.
+ *
+ * \param Derived is the derived type, e.g. a matrix type, or an expression, etc.
+ */
+template<typename Derived> class DenseBase
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+ : public ei_special_scalar_op_base<Derived,typename ei_traits<Derived>::Scalar,
+ typename NumTraits<typename ei_traits<Derived>::Scalar>::Real>
+#endif // not EIGEN_PARSED_BY_DOXYGEN
+{
+ public:
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+ using ei_special_scalar_op_base<Derived,typename ei_traits<Derived>::Scalar,
+ typename NumTraits<typename ei_traits<Derived>::Scalar>::Real>::operator*;
+
+ class InnerIterator;
+
+ typedef typename ei_traits<Derived>::Scalar Scalar;
+ typedef typename ei_packet_traits<Scalar>::type PacketScalar;
+#endif // not EIGEN_PARSED_BY_DOXYGEN
+
+ enum {
+
+ RowsAtCompileTime = ei_traits<Derived>::RowsAtCompileTime,
+ /**< The number of rows at compile-time. This is just a copy of the value provided
+ * by the \a Derived type. If a value is not known at compile-time,
+ * it is set to the \a Dynamic constant.
+ * \sa MatrixBase::rows(), MatrixBase::cols(), ColsAtCompileTime, SizeAtCompileTime */
+
+ ColsAtCompileTime = ei_traits<Derived>::ColsAtCompileTime,
+ /**< The number of columns at compile-time. This is just a copy of the value provided
+ * by the \a Derived type. If a value is not known at compile-time,
+ * it is set to the \a Dynamic constant.
+ * \sa MatrixBase::rows(), MatrixBase::cols(), RowsAtCompileTime, SizeAtCompileTime */
+
+
+ SizeAtCompileTime = (ei_size_at_compile_time<ei_traits<Derived>::RowsAtCompileTime,
+ ei_traits<Derived>::ColsAtCompileTime>::ret),
+ /**< This is equal to the number of coefficients, i.e. the number of
+ * rows times the number of columns, or to \a Dynamic if this is not
+ * known at compile-time. \sa RowsAtCompileTime, ColsAtCompileTime */
+
+ MaxRowsAtCompileTime = ei_traits<Derived>::MaxRowsAtCompileTime,
+ /**< This value is equal to the maximum possible number of rows that this expression
+ * might have. If this expression might have an arbitrarily high number of rows,
+ * this value is set to \a Dynamic.
+ *
+ * This value is useful to know when evaluating an expression, in order to determine
+ * whether it is possible to avoid doing a dynamic memory allocation.
+ *
+ * \sa RowsAtCompileTime, MaxColsAtCompileTime, MaxSizeAtCompileTime
+ */
+
+ MaxColsAtCompileTime = ei_traits<Derived>::MaxColsAtCompileTime,
+ /**< This value is equal to the maximum possible number of columns that this expression
+ * might have. If this expression might have an arbitrarily high number of columns,
+ * this value is set to \a Dynamic.
+ *
+ * This value is useful to know when evaluating an expression, in order to determine
+ * whether it is possible to avoid doing a dynamic memory allocation.
+ *
+ * \sa ColsAtCompileTime, MaxRowsAtCompileTime, MaxSizeAtCompileTime
+ */
+
+ MaxSizeAtCompileTime = (ei_size_at_compile_time<ei_traits<Derived>::MaxRowsAtCompileTime,
+ ei_traits<Derived>::MaxColsAtCompileTime>::ret),
+ /**< This value is equal to the maximum possible number of coefficients that this expression
+ * might have. If this expression might have an arbitrarily high number of coefficients,
+ * this value is set to \a Dynamic.
+ *
+ * This value is useful to know when evaluating an expression, in order to determine
+ * whether it is possible to avoid doing a dynamic memory allocation.
+ *
+ * \sa SizeAtCompileTime, MaxRowsAtCompileTime, MaxColsAtCompileTime
+ */
+
+ IsVectorAtCompileTime = ei_traits<Derived>::RowsAtCompileTime == 1
+ || ei_traits<Derived>::ColsAtCompileTime == 1,
+ /**< This is set to true if either the number of rows or the number of
+ * columns is known at compile-time to be equal to 1. Indeed, in that case,
+ * we are dealing with a column-vector (if there is only one column) or with
+ * a row-vector (if there is only one row). */
+
+ Flags = ei_traits<Derived>::Flags,
+ /**< This stores expression \ref flags flags which may or may not be inherited by new expressions
+ * constructed from this one. See the \ref flags "list of flags".
+ */
+
+ CoeffReadCost = ei_traits<Derived>::CoeffReadCost,
+ /**< This is a rough measure of how expensive it is to read one coefficient from
+ * this expression.
+ */
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+ _HasDirectAccess = (int(Flags)&DirectAccessBit) ? 1 : 0 // workaround sunCC
+#endif
+ };
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+ /** This is the "real scalar" type; if the \a Scalar type is already real numbers
+ * (e.g. int, float or double) then \a RealScalar is just the same as \a Scalar. If
+ * \a Scalar is \a std::complex<T> then RealScalar is \a T.
+ *
+ * \sa class NumTraits
+ */
+ typedef typename NumTraits<Scalar>::Real RealScalar;
+#endif // not EIGEN_PARSED_BY_DOXYGEN
+
+ /** \returns the number of rows. \sa cols(), RowsAtCompileTime */
+ inline int rows() const { return derived().rows(); }
+ /** \returns the number of columns. \sa rows(), ColsAtCompileTime*/
+ inline int cols() const { return derived().cols(); }
+ /** \returns the number of coefficients, which is rows()*cols().
+ * \sa rows(), cols(), SizeAtCompileTime. */
+ inline int size() const { return rows() * cols(); }
+ /** \returns the number of nonzero coefficients which is in practice the number
+ * of stored coefficients. */
+ inline int nonZeros() const { return size(); }
+ /** \returns true if either the number of rows or the number of columns is equal to 1.
+ * In other words, this function returns
+ * \code rows()==1 || cols()==1 \endcode
+ * \sa rows(), cols(), IsVectorAtCompileTime. */
+ inline bool isVector() const { return rows()==1 || cols()==1; }
+ /** \returns the size of the storage major dimension,
+ * i.e., the number of columns for a columns major matrix, and the number of rows otherwise */
+ int outerSize() const { return (int(Flags)&RowMajorBit) ? this->rows() : this->cols(); }
+ /** \returns the size of the inner dimension according to the storage order,
+ * i.e., the number of rows for a columns major matrix, and the number of cols otherwise */
+ int innerSize() const { return (int(Flags)&RowMajorBit) ? this->cols() : this->rows(); }
+
+ /** Only plain matrices, not expressions may be resized; therefore the only useful resize method is
+ * Matrix::resize(). The present method only asserts that the new size equals the old size, and does
+ * nothing else.
+ */
+ void resize(int size)
+ {
+ ei_assert(size == this->size()
+ && "MatrixBase::resize() does not actually allow to resize.");
+ }
+ /** Only plain matrices, not expressions may be resized; therefore the only useful resize method is
+ * Matrix::resize(). The present method only asserts that the new size equals the old size, and does
+ * nothing else.
+ */
+ void resize(int rows, int cols)
+ {
+ ei_assert(rows == this->rows() && cols == this->cols()
+ && "MatrixBase::resize() does not actually allow to resize.");
+ }
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+ /** \internal the return type of coeff()
+ */
+ typedef typename ei_meta_if<_HasDirectAccess, const Scalar&, Scalar>::ret CoeffReturnType;
+
+ /** \internal Represents a matrix with all coefficients equal to one another*/
+ typedef CwiseNullaryOp<ei_scalar_constant_op<Scalar>,Derived> ConstantReturnType;
+ /** \internal the return type of MatrixBase::eigenvalues() */
+ typedef Matrix<typename NumTraits<typename ei_traits<Derived>::Scalar>::Real, ei_traits<Derived>::ColsAtCompileTime, 1> EigenvaluesReturnType;
+ /** \internal expression tyepe of a column */
+ typedef Block<Derived, ei_traits<Derived>::RowsAtCompileTime, 1> ColXpr;
+ /** \internal expression tyepe of a column */
+ typedef Block<Derived, 1, ei_traits<Derived>::ColsAtCompileTime> RowXpr;
+#endif // not EIGEN_PARSED_BY_DOXYGEN
+
+ /** Copies \a other into *this. \returns a reference to *this. */
+ template<typename OtherDerived>
+ Derived& operator=(const DenseBase<OtherDerived>& other);
+
+ /** Special case of the template operator=, in order to prevent the compiler
+ * from generating a default operator= (issue hit with g++ 4.1)
+ */
+ Derived& operator=(const DenseBase& other);
+
+ template<typename OtherDerived>
+ Derived& operator=(const AnyMatrixBase<OtherDerived> &other);
+
+ template<typename OtherDerived>
+ Derived& operator+=(const AnyMatrixBase<OtherDerived> &other);
+
+ template<typename OtherDerived>
+ Derived& operator-=(const AnyMatrixBase<OtherDerived> &other);
+
+ template<typename OtherDerived>
+ Derived& operator=(const ReturnByValue<OtherDerived>& func);
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+ /** Copies \a other into *this without evaluating other. \returns a reference to *this. */
+ template<typename OtherDerived>
+ Derived& lazyAssign(const DenseBase<OtherDerived>& other);
+#endif // not EIGEN_PARSED_BY_DOXYGEN
+
+ CommaInitializer<Derived> operator<< (const Scalar& s);
+
+ template<typename OtherDerived>
+ CommaInitializer<Derived> operator<< (const DenseBase<OtherDerived>& other);
+
+ const CoeffReturnType coeff(int row, int col) const;
+ const CoeffReturnType operator()(int row, int col) const;
+
+ Scalar& coeffRef(int row, int col);
+ Scalar& operator()(int row, int col);
+
+ const CoeffReturnType coeff(int index) const;
+ const CoeffReturnType operator[](int index) const;
+ const CoeffReturnType operator()(int index) const;
+
+ Scalar& coeffRef(int index);
+ Scalar& operator[](int index);
+ Scalar& operator()(int index);
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+ template<typename OtherDerived>
+ void copyCoeff(int row, int col, const DenseBase<OtherDerived>& other);
+ template<typename OtherDerived>
+ void copyCoeff(int index, const DenseBase<OtherDerived>& other);
+ template<typename OtherDerived, int StoreMode, int LoadMode>
+ void copyPacket(int row, int col, const DenseBase<OtherDerived>& other);
+ template<typename OtherDerived, int StoreMode, int LoadMode>
+ void copyPacket(int index, const DenseBase<OtherDerived>& other);
+#endif // not EIGEN_PARSED_BY_DOXYGEN
+
+ template<int LoadMode>
+ PacketScalar packet(int row, int col) const;
+ template<int StoreMode>
+ void writePacket(int row, int col, const PacketScalar& x);
+
+ template<int LoadMode>
+ PacketScalar packet(int index) const;
+ template<int StoreMode>
+ void writePacket(int index, const PacketScalar& x);
+
+ template<typename OtherDerived>
+ Derived& operator+=(const DenseBase<OtherDerived>& other);
+ template<typename OtherDerived>
+ Derived& operator-=(const DenseBase<OtherDerived>& other);
+
+ Eigen::Transpose<Derived> transpose();
+ const Eigen::Transpose<Derived> transpose() const;
+ void transposeInPlace();
+ #ifndef EIGEN_NO_DEBUG
+ template<typename OtherDerived>
+ Derived& lazyAssign(const Transpose<OtherDerived>& other);
+ template<typename DerivedA, typename DerivedB>
+ Derived& lazyAssign(const CwiseBinaryOp<ei_scalar_sum_op<Scalar>,Transpose<DerivedA>,DerivedB>& other);
+ template<typename DerivedA, typename DerivedB>
+ Derived& lazyAssign(const CwiseBinaryOp<ei_scalar_sum_op<Scalar>,DerivedA,Transpose<DerivedB> >& other);
+
+ template<typename OtherDerived>
+ Derived& lazyAssign(const CwiseUnaryOp<ei_scalar_conjugate_op<Scalar>, NestByValue<Eigen::Transpose<OtherDerived> > >& other);
+ template<typename DerivedA, typename DerivedB>
+ Derived& lazyAssign(const CwiseBinaryOp<ei_scalar_sum_op<Scalar>,CwiseUnaryOp<ei_scalar_conjugate_op<Scalar>, NestByValue<Eigen::Transpose<DerivedA> > >,DerivedB>& other);
+ template<typename DerivedA, typename DerivedB>
+ Derived& lazyAssign(const CwiseBinaryOp<ei_scalar_sum_op<Scalar>,DerivedA,CwiseUnaryOp<ei_scalar_conjugate_op<Scalar>, NestByValue<Eigen::Transpose<DerivedB> > > >& other);
+ #endif
+
+ RowXpr row(int i);
+ const RowXpr row(int i) const;
+
+ ColXpr col(int i);
+ const ColXpr col(int i) const;
+
+ typename BlockReturnType<Derived>::Type block(int startRow, int startCol, int blockRows, int blockCols);
+ const typename BlockReturnType<Derived>::Type
+ block(int startRow, int startCol, int blockRows, int blockCols) const;
+
+ VectorBlock<Derived> segment(int start, int size);
+ const VectorBlock<Derived> segment(int start, int size) const;
+
+ VectorBlock<Derived> start(int size);
+ const VectorBlock<Derived> start(int size) const;
+
+ VectorBlock<Derived> end(int size);
+ const VectorBlock<Derived> end(int size) const;
+
+ typename BlockReturnType<Derived>::Type corner(CornerType type, int cRows, int cCols);
+ const typename BlockReturnType<Derived>::Type corner(CornerType type, int cRows, int cCols) const;
+
+ template<int BlockRows, int BlockCols>
+ typename BlockReturnType<Derived, BlockRows, BlockCols>::Type block(int startRow, int startCol);
+ template<int BlockRows, int BlockCols>
+ const typename BlockReturnType<Derived, BlockRows, BlockCols>::Type block(int startRow, int startCol) const;
+
+ template<int CRows, int CCols>
+ typename BlockReturnType<Derived, CRows, CCols>::Type corner(CornerType type);
+ template<int CRows, int CCols>
+ const typename BlockReturnType<Derived, CRows, CCols>::Type corner(CornerType type) const;
+
+ template<int Size> VectorBlock<Derived,Size> start(void);
+ template<int Size> const VectorBlock<Derived,Size> start() const;
+
+ template<int Size> VectorBlock<Derived,Size> end();
+ template<int Size> const VectorBlock<Derived,Size> end() const;
+
+ template<int Size> VectorBlock<Derived,Size> segment(int start);
+ template<int Size> const VectorBlock<Derived,Size> segment(int start) const;
+
+ Diagonal<Derived,0> diagonal();
+ const Diagonal<Derived,0> diagonal() const;
+
+ template<int Index> Diagonal<Derived,Index> diagonal();
+ template<int Index> const Diagonal<Derived,Index> diagonal() const;
+
+ Diagonal<Derived, Dynamic> diagonal(int index);
+ const Diagonal<Derived, Dynamic> diagonal(int index) const;
+
+ template<unsigned int Mode> TriangularView<Derived, Mode> part();
+ template<unsigned int Mode> const TriangularView<Derived, Mode> part() const;
+
+ template<unsigned int Mode> TriangularView<Derived, Mode> triangularView();
+ template<unsigned int Mode> const TriangularView<Derived, Mode> triangularView() const;
+
+ template<unsigned int UpLo> SelfAdjointView<Derived, UpLo> selfadjointView();
+ template<unsigned int UpLo> const SelfAdjointView<Derived, UpLo> selfadjointView() const;
+
+ static const ConstantReturnType
+ Constant(int rows, int cols, const Scalar& value);
+ static const ConstantReturnType
+ Constant(int size, const Scalar& value);
+ static const ConstantReturnType
+ Constant(const Scalar& value);
+
+ template<typename CustomNullaryOp>
+ static const CwiseNullaryOp<CustomNullaryOp, Derived>
+ NullaryExpr(int rows, int cols, const CustomNullaryOp& func);
+ template<typename CustomNullaryOp>
+ static const CwiseNullaryOp<CustomNullaryOp, Derived>
+ NullaryExpr(int size, const CustomNullaryOp& func);
+ template<typename CustomNullaryOp>
+ static const CwiseNullaryOp<CustomNullaryOp, Derived>
+ NullaryExpr(const CustomNullaryOp& func);
+
+ static const ConstantReturnType Zero(int rows, int cols);
+ static const ConstantReturnType Zero(int size);
+ static const ConstantReturnType Zero();
+ static const ConstantReturnType Ones(int rows, int cols);
+ static const ConstantReturnType Ones(int size);
+ static const ConstantReturnType Ones();
+
+ void fill(const Scalar& value);
+ Derived& setConstant(const Scalar& value);
+ Derived& setZero();
+ Derived& setOnes();
+ Derived& setRandom();
+
+
+ template<typename OtherDerived>
+ bool isApprox(const DenseBase<OtherDerived>& other,
+ RealScalar prec = precision<Scalar>()) const;
+ bool isMuchSmallerThan(const RealScalar& other,
+ RealScalar prec = precision<Scalar>()) const;
+ template<typename OtherDerived>
+ bool isMuchSmallerThan(const DenseBase<OtherDerived>& other,
+ RealScalar prec = precision<Scalar>()) const;
+
+ bool isApproxToConstant(const Scalar& value, RealScalar prec = precision<Scalar>()) const;
+ bool isConstant(const Scalar& value, RealScalar prec = precision<Scalar>()) const;
+ bool isZero(RealScalar prec = precision<Scalar>()) const;
+ bool isOnes(RealScalar prec = precision<Scalar>()) const;
+
+// template<typename OtherDerived>
+// inline bool operator==(const DenseBase<OtherDerived>& other) const
+// { return cwiseEqual(other).all(); }
+//
+// template<typename OtherDerived>
+// inline bool operator!=(const DenseBase<OtherDerived>& other) const
+// { return cwiseNotEqual(other).all(); }
+
+
+ /** \returns the matrix or vector obtained by evaluating this expression.
+ *
+ * Notice that in the case of a plain matrix or vector (not an expression) this function just returns
+ * a const reference, in order to avoid a useless copy.
+ */
+ EIGEN_STRONG_INLINE const typename ei_eval<Derived>::type eval() const
+ { return typename ei_eval<Derived>::type(derived()); }
+
+ template<typename OtherDerived>
+ void swap(DenseBase<OtherDerived> EIGEN_REF_TO_TEMPORARY other);
+
+ /** \returns number of elements to skip to pass from one row (resp. column) to another
+ * for a row-major (resp. column-major) matrix.
+ * Combined with coeffRef() and the \ref flags flags, it allows a direct access to the data
+ * of the underlying matrix.
+ */
+ inline int stride(void) const { return derived().stride(); }
+
+ inline const NestByValue<Derived> nestByValue() const;
+ inline const ForceAlignedAccess<Derived> forceAlignedAccess() const;
+ inline ForceAlignedAccess<Derived> forceAlignedAccess();
+ template<bool Enable> inline const typename ei_meta_if<Enable,ForceAlignedAccess<Derived>,Derived&>::ret forceAlignedAccessIf() const;
+ template<bool Enable> inline typename ei_meta_if<Enable,ForceAlignedAccess<Derived>,Derived&>::ret forceAlignedAccessIf();
+
+ Scalar sum() const;
+ Scalar mean() const;
+ Scalar trace() const;
+
+ Scalar prod() const;
+
+ typename ei_traits<Derived>::Scalar minCoeff() const;
+ typename ei_traits<Derived>::Scalar maxCoeff() const;
+
+ typename ei_traits<Derived>::Scalar minCoeff(int* row, int* col) const;
+ typename ei_traits<Derived>::Scalar maxCoeff(int* row, int* col) const;
+
+ typename ei_traits<Derived>::Scalar minCoeff(int* index) const;
+ typename ei_traits<Derived>::Scalar maxCoeff(int* index) const;
+
+ template<typename BinaryOp>
+ typename ei_result_of<BinaryOp(typename ei_traits<Derived>::Scalar)>::type
+ redux(const BinaryOp& func) const;
+
+ template<typename Visitor>
+ void visit(Visitor& func) const;
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+ using AnyMatrixBase<Derived>::derived;
+ inline Derived& const_cast_derived() const
+ { return *static_cast<Derived*>(const_cast<DenseBase*>(this)); }
+#endif // not EIGEN_PARSED_BY_DOXYGEN
+
+ inline const WithFormat<Derived> format(const IOFormat& fmt) const;
+
+/////////// Array module ///////////
+
+ bool all(void) const;
+ bool any(void) const;
+ int count() const;
+
+ const VectorwiseOp<Derived,Horizontal> rowwise() const;
+ VectorwiseOp<Derived,Horizontal> rowwise();
+ const VectorwiseOp<Derived,Vertical> colwise() const;
+ VectorwiseOp<Derived,Vertical> colwise();
+
+ static const CwiseNullaryOp<ei_scalar_random_op<Scalar>,Derived> Random(int rows, int cols);
+ static const CwiseNullaryOp<ei_scalar_random_op<Scalar>,Derived> Random(int size);
+ static const CwiseNullaryOp<ei_scalar_random_op<Scalar>,Derived> Random();
+
+ template<typename ThenDerived,typename ElseDerived>
+ const Select<Derived,ThenDerived,ElseDerived>
+ select(const DenseBase<ThenDerived>& thenMatrix,
+ const DenseBase<ElseDerived>& elseMatrix) const;
+
+ template<typename ThenDerived>
+ inline const Select<Derived,ThenDerived, NestByValue<typename ThenDerived::ConstantReturnType> >
+ select(const DenseBase<ThenDerived>& thenMatrix, typename ThenDerived::Scalar elseScalar) const;
+
+ template<typename ElseDerived>
+ inline const Select<Derived, NestByValue<typename ElseDerived::ConstantReturnType>, ElseDerived >
+ select(typename ElseDerived::Scalar thenScalar, const DenseBase<ElseDerived>& elseMatrix) const;
+
+ template<int p> RealScalar lpNorm() const;
+
+ template<int RowFactor, int ColFactor>
+ const Replicate<Derived,RowFactor,ColFactor> replicate() const;
+ const Replicate<Derived,Dynamic,Dynamic> replicate(int rowFacor,int colFactor) const;
+
+ Eigen::Reverse<Derived, BothDirections> reverse();
+ const Eigen::Reverse<Derived, BothDirections> reverse() const;
+ void reverseInPlace();
+
+ #ifdef EIGEN_DENSEBASE_PLUGIN
+ #include EIGEN_DENSEBASE_PLUGIN
+ #endif
+
+ protected:
+ /** Default constructor. Do nothing. */
+ DenseBase()
+ {
+ /* Just checks for self-consistency of the flags.
+ * Only do it when debugging Eigen, as this borders on paranoiac and could slow compilation down
+ */
+#ifdef EIGEN_INTERNAL_DEBUGGING
+ EIGEN_STATIC_ASSERT(ei_are_flags_consistent<Flags>::ret,
+ INVALID_MATRIXBASE_TEMPLATE_PARAMETERS)
+#endif
+ }
+
+ private:
+ explicit DenseBase(int);
+ DenseBase(int,int);
+ template<typename OtherDerived> explicit DenseBase(const DenseBase<OtherDerived>&);
+};
+
+#endif // EIGEN_DENSEBASE_H