Document enums in Constants.h (bug #248).

To get the links to work, I also had to document the Eigen namespace.
Unfortunately, this means that the word Eigen is linked whenever it appears
in the docs.

Eigen/Core

@@ -185,6 +185,7 @@
 // defined in bits/termios.h
 #undef B0
 
+/** \brief Namespace containing all symbols from the %Eigen library. */
 namespace Eigen {
 
 inline static const char *SimdInstructionSetsInUse(void) {

Eigen/src/Core/BandMatrix.h

@@ -180,7 +180,7 @@ class BandMatrixBase : public EigenBase<Derived>
   * \param Cols Number of columns, or \b Dynamic
   * \param Supers Number of super diagonal
   * \param Subs Number of sub diagonal
-  * \param _Options A combination of either \b RowMajor or \b ColMajor, and of \b SelfAdjoint
+  * \param _Options A combination of either \b #RowMajor or \b #ColMajor, and of \b #SelfAdjoint
   *                 The former controls \ref TopicStorageOrders "storage order", and defaults to
   *                 column-major. The latter controls whether the matrix represents a selfadjoint 
   *                 matrix in which case either Supers of Subs have to be null.

Eigen/src/Core/DenseCoeffsBase.h

@@ -35,7 +35,7 @@ template<typename T> struct add_const_on_value_type_if_arithmetic
 /** \brief Base class providing read-only coefficient access to matrices and arrays.
   * \ingroup Core_Module
   * \tparam Derived Type of the derived class
-  * \tparam ReadOnlyAccessors Constant indicating read-only access
+  * \tparam #ReadOnlyAccessors Constant indicating read-only access
   *
   * This class defines the \c operator() \c const function and friends, which can be used to read specific
   * entries of a matrix or array.
@@ -212,7 +212,7 @@ class DenseCoeffsBase<Derived,ReadOnlyAccessors> : public EigenBase<Derived>
       * to ensure that a packet really starts there. This method is only available on expressions having the
       * PacketAccessBit.
       *
-      * The \a LoadMode parameter may have the value \a Aligned or \a Unaligned. Its effect is to select
+      * The \a LoadMode parameter may have the value \a #Aligned or \a #Unaligned. Its effect is to select
       * the appropriate vectorization instruction. Aligned access is faster, but is only possible for packets
       * starting at an address which is a multiple of the packet size.
       */
@@ -239,7 +239,7 @@ class DenseCoeffsBase<Derived,ReadOnlyAccessors> : public EigenBase<Derived>
       * to ensure that a packet really starts there. This method is only available on expressions having the
       * PacketAccessBit and the LinearAccessBit.
       *
-      * The \a LoadMode parameter may have the value \a Aligned or \a Unaligned. Its effect is to select
+      * The \a LoadMode parameter may have the value \a #Aligned or \a #Unaligned. Its effect is to select
       * the appropriate vectorization instruction. Aligned access is faster, but is only possible for packets
       * starting at an address which is a multiple of the packet size.
       */
@@ -275,7 +275,7 @@ class DenseCoeffsBase<Derived,ReadOnlyAccessors> : public EigenBase<Derived>
 /** \brief Base class providing read/write coefficient access to matrices and arrays.
   * \ingroup Core_Module
   * \tparam Derived Type of the derived class
-  * \tparam WriteAccessors Constant indicating read/write access
+  * \tparam #WriteAccessors Constant indicating read/write access
   *
   * This class defines the non-const \c operator() function and friends, which can be used to write specific
   * entries of a matrix or array. This class inherits DenseCoeffsBase<Derived, ReadOnlyAccessors> which
@@ -433,7 +433,7 @@ class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived,
       * to ensure that a packet really starts there. This method is only available on expressions having the
       * PacketAccessBit.
       *
-      * The \a LoadMode parameter may have the value \a Aligned or \a Unaligned. Its effect is to select
+      * The \a LoadMode parameter may have the value \a #Aligned or \a #Unaligned. Its effect is to select
       * the appropriate vectorization instruction. Aligned access is faster, but is only possible for packets
       * starting at an address which is a multiple of the packet size.
       */
@@ -567,7 +567,7 @@ class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived,
 /** \brief Base class providing direct read-only coefficient access to matrices and arrays.
   * \ingroup Core_Module
   * \tparam Derived Type of the derived class
-  * \tparam DirectAccessors Constant indicating direct access
+  * \tparam #DirectAccessors Constant indicating direct access
   *
   * This class defines functions to work with strides which can be used to access entries directly. This class
   * inherits DenseCoeffsBase<Derived, ReadOnlyAccessors> which defines functions to access entries read-only using
@@ -637,7 +637,7 @@ class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived
 /** \brief Base class providing direct read/write coefficient access to matrices and arrays.
   * \ingroup Core_Module
   * \tparam Derived Type of the derived class
-  * \tparam DirectAccessors Constant indicating direct access
+  * \tparam #DirectWriteAccessors Constant indicating direct access
   *
   * This class defines functions to work with strides which can be used to access entries directly. This class
   * inherits DenseCoeffsBase<Derived, WriteAccessors> which defines functions to access entries read/write using

Eigen/src/Core/GenericPacketMath.h

@@ -286,7 +286,7 @@ pmadd(const Packet&  a,
 { return padd(pmul(a, b),c); }
 
 /** \internal \returns a packet version of \a *from.
-  * \If LoadMode equals Aligned, \a from must be 16 bytes aligned */
+  * If LoadMode equals #Aligned, \a from must be 16 bytes aligned */
 template<typename Packet, int LoadMode>
 inline Packet ploadt(const typename unpacket_traits<Packet>::type* from)
 {
@@ -297,7 +297,7 @@ inline Packet ploadt(const typename unpacket_traits<Packet>::type* from)
 }
 
 /** \internal copy the packet \a from to \a *to.
-  * If StoreMode equals Aligned, \a to must be 16 bytes aligned */
+  * If StoreMode equals #Aligned, \a to must be 16 bytes aligned */
 template<typename Scalar, typename Packet, int LoadMode>
 inline void pstoret(Scalar* to, const Packet& from)
 {

Eigen/src/Core/Map.h

@@ -31,10 +31,10 @@
   *
   * \brief A matrix or vector expression mapping an existing array of data.
   *
-  * \param PlainObjectType the equivalent matrix type of the mapped data
+  * \tparam PlainObjectType the equivalent matrix type of the mapped data
-  * \param MapOptions specifies whether the pointer is \c Aligned, or \c Unaligned.
+  * \tparam MapOptions specifies whether the pointer is \c #Aligned, or \c #Unaligned.
-  *                The default is \c Unaligned.
+  *                The default is \c #Unaligned.
-  * \param StrideType optionnally specifies strides. By default, Map assumes the memory layout
+  * \tparam StrideType optionnally specifies strides. By default, Map assumes the memory layout
   *                   of an ordinary, contiguous array. This can be overridden by specifying strides.
   *                   The type passed here must be a specialization of the Stride template, see examples below.
   *

Eigen/src/Core/Matrix.h

@@ -43,8 +43,8 @@
   * \tparam _Cols Number of columns, or \b Dynamic
   *
   * The remaining template parameters are optional -- in most cases you don't have to worry about them.
-  * \tparam _Options \anchor matrix_tparam_options A combination of either \b RowMajor or \b ColMajor, and of either
+  * \tparam _Options \anchor matrix_tparam_options A combination of either \b #RowMajor or \b #ColMajor, and of either
-  *                 \b AutoAlign or \b DontAlign.
+  *                 \b #AutoAlign or \b #DontAlign.
   *                 The former controls \ref TopicStorageOrders "storage order", and defaults to column-major. The latter controls alignment, which is required
   *                 for vectorization. It defaults to aligning matrices except for fixed sizes that aren't a multiple of the packet size.
   * \tparam _MaxRows Maximum number of rows. Defaults to \a _Rows (\ref maxrows "note").

Eigen/src/Core/SelfAdjointView.h

@@ -32,7 +32,7 @@
   * \brief Expression of a selfadjoint matrix from a triangular part of a dense matrix
   *
   * \param MatrixType the type of the dense matrix storing the coefficients
-  * \param TriangularPart can be either \c Lower or \c Upper
+  * \param TriangularPart can be either \c #Lower or \c #Upper
   *
   * This class is an expression of a sefladjoint matrix from a triangular part of a matrix
   * with given dense storage of the coefficients. It is the return type of MatrixBase::selfadjointView()

Eigen/src/Core/TriangularMatrix.h

@@ -134,13 +134,13 @@ template<typename Derived> class TriangularBase : public EigenBase<Derived>
   * \brief Base class for triangular part in a matrix
   *
   * \param MatrixType the type of the object in which we are taking the triangular part
-  * \param Mode the kind of triangular matrix expression to construct. Can be Upper,
+  * \param Mode the kind of triangular matrix expression to construct. Can be #Upper,
-  *             Lower, UpperSelfadjoint, or LowerSelfadjoint. This is in fact a bit field;
+  *             #Lower, #UnitUpper, #UnitLower, #StrictlyUpper, or #StrictlyLower.
-  *             it must have either Upper or Lower, and additionnaly it may have either
+  *             This is in fact a bit field; it must have either #Upper or #Lower, 
-  *             UnitDiag or Selfadjoint.
+  *             and additionnaly it may have #UnitDiag or #ZeroDiag or neither.
   *
   * This class represents a triangular part of a matrix, not necessarily square. Strictly speaking, for rectangular
-  * matrices one should speak ok "trapezoid" parts. This class is the return type
+  * matrices one should speak of "trapezoid" parts. This class is the return type
   * of MatrixBase::triangularView() and most of the time this is the only way it is used.
   *
   * \sa MatrixBase::triangularView()
@@ -756,8 +756,8 @@ typename internal::eigen2_part_return_type<Derived, Mode>::type MatrixBase<Deriv
 /**
   * \returns an expression of a triangular view extracted from the current matrix
   *
-  * The parameter \a Mode can have the following values: \c Upper, \c StrictlyUpper, \c UnitUpper,
+  * The parameter \a Mode can have the following values: \c #Upper, \c #StrictlyUpper, \c #UnitUpper,
-  * \c Lower, \c StrictlyLower, \c UnitLower.
+  * \c #Lower, \c #StrictlyLower, \c #UnitLower.
   *
   * Example: \include MatrixBase_extract.cpp
   * Output: \verbinclude MatrixBase_extract.out

Eigen/src/Core/VectorwiseOp.h

@@ -31,9 +31,9 @@
   *
   * \brief Generic expression of a partially reduxed matrix
   *
-  * \param MatrixType the type of the matrix we are applying the redux operation
+  * \tparam MatrixType the type of the matrix we are applying the redux operation
-  * \param MemberOp type of the member functor
+  * \tparam MemberOp type of the member functor
-  * \param Direction indicates the direction of the redux (Vertical or Horizontal)
+  * \tparam Direction indicates the direction of the redux (#Vertical or #Horizontal)
   *
   * This class represents an expression of a partial redux operator of a matrix.
   * It is the return type of some VectorwiseOp functions,
@@ -164,7 +164,7 @@ struct member_redux {
   * \brief Pseudo expression providing partial reduction operations
   *
   * \param ExpressionType the type of the object on which to do partial reductions
-  * \param Direction indicates the direction of the redux (Vertical or Horizontal)
+  * \param Direction indicates the direction of the redux (#Vertical or #Horizontal)
   *
   * This class represents a pseudo expression with partial reduction features.
   * It is the return type of DenseBase::colwise() and DenseBase::rowwise()

Eigen/src/Core/util/Constants.h

@@ -161,23 +161,72 @@ const unsigned int HereditaryBits = RowMajorBit
                                   | EvalBeforeNestingBit
                                   | EvalBeforeAssigningBit;
 
-// Possible values for the Mode parameter of triangularView()
+/** \defgroup enums Enumerations
-enum {
+  * \ingroup Core_Module
-  Lower=0x1, Upper=0x2, UnitDiag=0x4, ZeroDiag=0x8,
+  *
-  UnitLower=UnitDiag|Lower, UnitUpper=UnitDiag|Upper,
+  * Various enumerations used in %Eigen. Many of these are used as template parameters.
-  StrictlyLower=ZeroDiag|Lower, StrictlyUpper=ZeroDiag|Upper,
+  */
-  SelfAdjoint=0x10};
+
+/** \ingroup enums
+  * Enum containing possible values for the \p Mode parameter of 
+  * MatrixBase::selfadjointView() and MatrixBase::triangularView(). */
+enum {
+  /** View matrix as a lower triangular matrix. */
+  Lower=0x1,                      
+  /** View matrix as an upper triangular matrix. */
+  Upper=0x2,                      
+  /** %Matrix has ones on the diagonal; to be used in combination with #Lower or #Upper. */
+  UnitDiag=0x4, 
+  /** %Matrix has zeros on the diagonal; to be used in combination with #Lower or #Upper. */
+  ZeroDiag=0x8,
+  /** View matrix as a lower triangular matrix with ones on the diagonal. */
+  UnitLower=UnitDiag|Lower, 
+  /** View matrix as an upper triangular matrix with ones on the diagonal. */
+  UnitUpper=UnitDiag|Upper,
+  /** View matrix as a lower triangular matrix with zeros on the diagonal. */
+  StrictlyLower=ZeroDiag|Lower, 
+  /** View matrix as an upper triangular matrix with zeros on the diagonal. */
+  StrictlyUpper=ZeroDiag|Upper,
+  /** Used in BandMatrix and SelfAdjointView to indicate that the matrix is self-adjoint. */
+  SelfAdjoint=0x10
+};
+
+/** \ingroup enums
+  * Enum for indicating whether an object is aligned or not. */
+enum { 
+  /** Object is not correctly aligned for vectorization. */
+  Unaligned=0, 
+  /** Object is aligned for vectorization. */
+  Aligned=1 
+};
 
-enum { Unaligned=0, Aligned=1 };
 enum { ConditionalJumpCost = 5 };
 
+/** \ingroup enums
+ * Enum used by DenseBase::corner() in Eigen2 compatibility mode. */
 // FIXME after the corner() API change, this was not needed anymore, except by AlignedBox
 // TODO: find out what to do with that. Adapt the AlignedBox API ?
 enum CornerType { TopLeft, TopRight, BottomLeft, BottomRight };
 
-enum DirectionType { Vertical, Horizontal, BothDirections };
+/** \ingroup enums
+  * Enum containing possible values for the \p Direction parameter of
+  * Reverse, PartialReduxExpr and VectorwiseOp. */
+enum DirectionType { 
+  /** For Reverse, all columns are reversed; 
+    * for PartialReduxExpr and VectorwiseOp, act on columns. */
+  Vertical, 
+  /** For Reverse, all rows are reversed; 
+    * for PartialReduxExpr and VectorwiseOp, act on rows. */
+  Horizontal, 
+  /** For Reverse, both rows and columns are reversed; 
+    * not used for PartialReduxExpr and VectorwiseOp. */
+  BothDirections 
+};
+
 enum ProductEvaluationMode { NormalProduct, CacheFriendlyProduct };
 
+/** \internal \ingroup enums
+  * Enum to specify how to traverse the entries of a matrix. */
 enum {
   /** \internal Default traversal, no vectorization, no index-based access */
   DefaultTraversal,
@@ -196,14 +245,25 @@ enum {
   InvalidTraversal
 };
 
+/** \internal \ingroup enums
+  * Enum to specify whether to unroll loops when traversing over the entries of a matrix. */
 enum {
+  /** \internal Do not unroll loops. */
   NoUnrolling,
+  /** \internal Unroll only the inner loop, but not the outer loop. */
   InnerUnrolling,
+  /** \internal Unroll both the inner and the outer loop. If there is only one loop, 
+    * because linear traversal is used, then unroll that loop. */
   CompleteUnrolling
 };
 
+/** \ingroup enums
+  * Enum containing possible values for the \p _Options template parameter of
+  * Matrix, Array and BandMatrix. */
 enum {
+  /** Storage order is column major (see \ref TopicStorageOrders). */
   ColMajor = 0,
+  /** Storage order is row major (see \ref TopicStorageOrders). */
   RowMajor = 0x1,  // it is only a coincidence that this is equal to RowMajorBit -- don't rely on that
   /** \internal Align the matrix itself if it is vectorizable fixed-size */
   AutoAlign = 0,
@@ -211,11 +271,13 @@ enum {
   DontAlign = 0x2
 };
 
-/** \brief Enum for specifying whether to apply or solve on the left or right. 
+/** \ingroup enums
-  */
+  * Enum for specifying whether to apply or solve on the left or right. */
 enum {
-  OnTheLeft = 1,  /**< \brief Apply transformation on the left. */
+  /** Apply transformation on the left. */
-  OnTheRight = 2  /**< \brief Apply transformation on the right. */
+  OnTheLeft = 1,  
+  /** Apply transformation on the right. */
+  OnTheRight = 2  
 };
 
 /* the following could as well be written:
@@ -239,53 +301,104 @@ namespace {
   EIGEN_UNUSED Default_t Default;
 }
 
+/** \internal \ingroup enums
+  * Used in AmbiVector. */
 enum {
   IsDense         = 0,
   IsSparse
 };
 
+/** \ingroup enums
+  * Used as template parameter in DenseCoeffBase and MapBase to indicate 
+  * which accessors should be provided. */
 enum AccessorLevels {
-  ReadOnlyAccessors, WriteAccessors, DirectAccessors, DirectWriteAccessors
+  /** Read-only access via a member function. */
+  ReadOnlyAccessors, 
+  /** Read/write access via member functions. */
+  WriteAccessors, 
+  /** Direct read-only access to the coefficients. */
+  DirectAccessors, 
+  /** Direct read/write access to the coefficients. */
+  DirectWriteAccessors
 };
 
+/** \ingroup enums
+  * Enum with options to give to various decompositions. */
 enum DecompositionOptions {
-  Pivoting            = 0x01, // LDLT,
+  /** \internal Not used (meant for LDLT?). */
-  NoPivoting          = 0x02, // LDLT,
+  Pivoting            = 0x01, 
-  ComputeFullU        = 0x04, // SVD,
+  /** \internal Not used (meant for LDLT?). */
-  ComputeThinU        = 0x08, // SVD,
+  NoPivoting          = 0x02, 
-  ComputeFullV        = 0x10, // SVD,
+  /** Used in JacobiSVD to indicate that the square matrix U is to be computed. */
-  ComputeThinV        = 0x20, // SVD,
+  ComputeFullU        = 0x04,
-  EigenvaluesOnly     = 0x40, // all eigen solvers
+  /** Used in JacobiSVD to indicate that the thin matrix U is to be computed. */
-  ComputeEigenvectors = 0x80, // all eigen solvers
+  ComputeThinU        = 0x08,
+  /** Used in JacobiSVD to indicate that the square matrix V is to be computed. */
+  ComputeFullV        = 0x10,
+  /** Used in JacobiSVD to indicate that the thin matrix V is to be computed. */
+  ComputeThinV        = 0x20,
+  /** Used in SelfAdjointEigenSolver and GeneralizedSelfAdjointEigenSolver to specify
+    * that only the eigenvalues are to be computed and not the eigenvectors. */
+  EigenvaluesOnly     = 0x40,
+  /** Used in SelfAdjointEigenSolver and GeneralizedSelfAdjointEigenSolver to specify
+    * that both the eigenvalues and the eigenvectors are to be computed. */
+  ComputeEigenvectors = 0x80,
+  /** \internal */
   EigVecMask = EigenvaluesOnly | ComputeEigenvectors,
+  /** Used in GeneralizedSelfAdjointEigenSolver to indicate that it should
+    * solve the generalized eigenproblem \f$ Ax = \lambda B x \f$. */
   Ax_lBx              = 0x100,
+  /** Used in GeneralizedSelfAdjointEigenSolver to indicate that it should
+    * solve the generalized eigenproblem \f$ ABx = \lambda x \f$. */
   ABx_lx              = 0x200,
+  /** Used in GeneralizedSelfAdjointEigenSolver to indicate that it should
+    * solve the generalized eigenproblem \f$ BAx = \lambda x \f$. */
   BAx_lx              = 0x400,
+  /** \internal */
   GenEigMask = Ax_lBx | ABx_lx | BAx_lx
 };
 
+/** \ingroup enums
+  * Possible values for the \p QRPreconditioner template parameter of JacobiSVD. */
 enum QRPreconditioners {
+  /** Do not specify what is to be done if the SVD of a non-square matrix is asked for. */
   NoQRPreconditioner,
+  /** Use a QR decomposition without pivoting as the first step. */
   HouseholderQRPreconditioner,
+  /** Use a QR decomposition with column pivoting as the first step. */
   ColPivHouseholderQRPreconditioner,
+  /** Use a QR decomposition with full pivoting as the first step. */
   FullPivHouseholderQRPreconditioner
 };
 
-/** \brief Enum for reporting the status of a computation.
+/** \ingroups enums
-  */
+  * Enum for reporting the status of a computation. */
 enum ComputationInfo {
-  Success = 0,        /**< \brief Computation was successful. */
+  /** Computation was successful. */
-  NumericalIssue = 1, /**< \brief The provided data did not satisfy the prerequisites. */
+  Success = 0,        
-  NoConvergence = 2   /**< \brief Iterative procedure did not converge. */
+  /** The provided data did not satisfy the prerequisites. */
+  NumericalIssue = 1, 
+  /** Iterative procedure did not converge. */
+  NoConvergence = 2
 };
 
+/** \ingroup enums
+  * Enum used to specify how a particular transformation is stored in a matrix.
+  * \sa Transform, Hyperplane::transform(). */
 enum TransformTraits {
+  /** Transformation is an isometry. */
   Isometry      = 0x1,
+  /** Transformation is an affine transformation stored as a (Dim+1)^2 matrix whose last row is 
+    * assumed to be [0 ... 0 1]. */
   Affine        = 0x2,
+  /** Transformation is an affine transformation stored as a (Dim) x (Dim+1) matrix. */
   AffineCompact = 0x10 | Affine,
+  /** Transformation is a general projective transformation stored as a (Dim+1)^2 matrix. */
   Projective    = 0x20
 };
 
+/** \internal \ingroup enums
+  * Enum used to choose between implementation depending on the computer architecture. */
 namespace Architecture
 {
   enum Type {
@@ -302,8 +415,12 @@ namespace Architecture
   };
 }
 
+/** \internal \ingroup enums
+  * Enum used as template parameter in GeneralProduct. */
 enum { CoeffBasedProductMode, LazyCoeffBasedProductMode, OuterProduct, InnerProduct, GemvProduct, GemmProduct };
 
+/** \internal \ingroup enums
+  * Enum used in experimental parallel implementation. */
 enum Action {GetAction, SetAction};
 
 /** The type used to identify a dense storage. */

Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h

@@ -98,8 +98,8 @@ class GeneralizedSelfAdjointEigenSolver : public SelfAdjointEigenSolver<_MatrixT
       *                   Only the lower triangular part of the matrix is referenced.
       * \param[in]  matB  Positive-definite matrix in matrix pencil.
       *                   Only the lower triangular part of the matrix is referenced.
-      * \param[in]  options A or-ed set of flags {ComputeEigenvectors,EigenvaluesOnly} | {Ax_lBx,ABx_lx,BAx_lx}.
+      * \param[in]  options A or-ed set of flags {#ComputeEigenvectors,#EigenvaluesOnly} | {#Ax_lBx,#ABx_lx,#BAx_lx}.
-      *                     Default is ComputeEigenvectors|Ax_lBx.
+      *                     Default is #ComputeEigenvectors|#Ax_lBx.
       *
       * This constructor calls compute(const MatrixType&, const MatrixType&, int)
       * to compute the eigenvalues and (if requested) the eigenvectors of the
@@ -131,8 +131,8 @@ class GeneralizedSelfAdjointEigenSolver : public SelfAdjointEigenSolver<_MatrixT
       *                   Only the lower triangular part of the matrix is referenced.
       * \param[in]  matB  Positive-definite matrix in matrix pencil.
       *                   Only the lower triangular part of the matrix is referenced.
-      * \param[in]  options A or-ed set of flags {ComputeEigenvectors,EigenvaluesOnly} | {Ax_lBx,ABx_lx,BAx_lx}.
+      * \param[in]  options A or-ed set of flags {#ComputeEigenvectors,#EigenvaluesOnly} | {#Ax_lBx,#ABx_lx,#BAx_lx}.
-      *                     Default is ComputeEigenvectors|Ax_lBx.
+      *                     Default is #ComputeEigenvectors|#Ax_lBx.
       *
       * \returns    Reference to \c *this
       *

Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h

@@ -147,11 +147,11 @@ template<typename _MatrixType> class SelfAdjointEigenSolver
       *
       * \param[in]  matrix  Selfadjoint matrix whose eigendecomposition is to
       *    be computed. Only the lower triangular part of the matrix is referenced.
-      * \param[in]  options Can be ComputeEigenvectors (default) or EigenvaluesOnly.
+      * \param[in]  options Can be #ComputeEigenvectors (default) or #EigenvaluesOnly.
       *
       * This constructor calls compute(const MatrixType&, int) to compute the
       * eigenvalues of the matrix \p matrix. The eigenvectors are computed if
-      * \p options equals ComputeEigenvectors.
+      * \p options equals #ComputeEigenvectors.
       *
       * Example: \include SelfAdjointEigenSolver_SelfAdjointEigenSolver_MatrixType.cpp
       * Output: \verbinclude SelfAdjointEigenSolver_SelfAdjointEigenSolver_MatrixType.out
@@ -171,11 +171,11 @@ template<typename _MatrixType> class SelfAdjointEigenSolver
       *
       * \param[in]  matrix  Selfadjoint matrix whose eigendecomposition is to
       *    be computed. Only the lower triangular part of the matrix is referenced.
-      * \param[in]  options Can be ComputeEigenvectors (default) or EigenvaluesOnly.
+      * \param[in]  options Can be #ComputeEigenvectors (default) or #EigenvaluesOnly.
       * \returns    Reference to \c *this
       *
       * This function computes the eigenvalues of \p matrix.  The eigenvalues()
-      * function can be used to retrieve them.  If \p options equals ComputeEigenvectors,
+      * function can be used to retrieve them.  If \p options equals #ComputeEigenvectors,
       * then the eigenvectors are also computed and can be retrieved by
       * calling eigenvectors().
       *

Eigen/src/Geometry/Hyperplane.h

@@ -213,8 +213,8 @@ public:
   /** Applies the transformation matrix \a mat to \c *this and returns a reference to \c *this.
     *
     * \param mat the Dim x Dim transformation matrix
-    * \param traits specifies whether the matrix \a mat represents an Isometry
+    * \param traits specifies whether the matrix \a mat represents an #Isometry
-    *               or a more generic Affine transformation. The default is Affine.
+    *               or a more generic #Affine transformation. The default is #Affine.
     */
   template<typename XprType>
   inline Hyperplane& transform(const MatrixBase<XprType>& mat, TransformTraits traits = Affine)
@@ -233,8 +233,8 @@ public:
   /** Applies the transformation \a t to \c *this and returns a reference to \c *this.
     *
     * \param t the transformation of dimension Dim
-    * \param traits specifies whether the transformation \a t represents an Isometry
+    * \param traits specifies whether the transformation \a t represents an #Isometry
-    *               or a more generic Affine transformation. The default is Affine.
+    *               or a more generic #Affine transformation. The default is #Affine.
     *               Other kind of transformations are not supported.
     */
   template<int TrOptions>

Eigen/src/Geometry/Quaternion.h

@@ -357,7 +357,7 @@ class Map<const Quaternion<_Scalar>, _Options >
       * The pointer \a coeffs must reference the four coeffecients of Quaternion in the following order:
       * \code *coeffs == {x, y, z, w} \endcode
       *
-      * If the template parameter _Options is set to Aligned, then the pointer coeffs must be aligned. */
+      * If the template parameter _Options is set to #Aligned, then the pointer coeffs must be aligned. */
     EIGEN_STRONG_INLINE Map(const Scalar* coeffs) : m_coeffs(coeffs) {}
 
     inline const Coefficients& coeffs() const { return m_coeffs;}
@@ -393,7 +393,7 @@ class Map<Quaternion<_Scalar>, _Options >
       * The pointer \a coeffs must reference the four coeffecients of Quaternion in the following order:
       * \code *coeffs == {x, y, z, w} \endcode
       *
-      * If the template parameter _Options is set to Aligned, then the pointer coeffs must be aligned. */
+      * If the template parameter _Options is set to #Aligned, then the pointer coeffs must be aligned. */
     EIGEN_STRONG_INLINE Map(Scalar* coeffs) : m_coeffs(coeffs) {}
 
     inline Coefficients& coeffs() { return m_coeffs; }

Eigen/src/Geometry/Transform.h

@@ -86,10 +86,10 @@ template<typename TransformType> struct transform_take_affine_part;
   * \tparam _Scalar the scalar type, i.e., the type of the coefficients
   * \tparam _Dim the dimension of the space
   * \tparam _Mode the type of the transformation. Can be:
-  *              - Affine: the transformation is stored as a (Dim+1)^2 matrix,
+  *              - #Affine: the transformation is stored as a (Dim+1)^2 matrix,
   *                         where the last row is assumed to be [0 ... 0 1].
-  *              - AffineCompact: the transformation is stored as a (Dim)x(Dim+1) matrix.
+  *              - #AffineCompact: the transformation is stored as a (Dim)x(Dim+1) matrix.
-  *              - Projective: the transformation is stored as a (Dim+1)^2 matrix
+  *              - #Projective: the transformation is stored as a (Dim+1)^2 matrix
   *                             without any assumption.
   * \tparam _Options has the same meaning as in class Matrix. It allows to specify DontAlign and/or RowMajor.
   *                  These Options are passed directly to the underlying matrix type.
@@ -1082,10 +1082,10 @@ struct projective_transform_inverse<TransformType, Projective>
   *
   * \param hint allows to optimize the inversion process when the transformation
   * is known to be not a general transformation (optional). The possible values are:
-  *  - Projective if the transformation is not necessarily affine, i.e., if the
+  *  - #Projective if the transformation is not necessarily affine, i.e., if the
   *    last row is not guaranteed to be [0 ... 0 1]
-  *  - Affine if the last row can be assumed to be [0 ... 0 1]
+  *  - #Affine if the last row can be assumed to be [0 ... 0 1]
-  *  - Isometry if the transformation is only a concatenations of translations
+  *  - #Isometry if the transformation is only a concatenations of translations
   *    and rotations.
   *  The default is the template class parameter \c Mode.
   *

Eigen/src/SVD/JacobiSVD.h

@@ -403,8 +403,8 @@ template<typename _MatrixType, int QRPreconditioner> class JacobiSVD
      *
      * \param matrix the matrix to decompose
      * \param computationOptions optional parameter allowing to specify if you want full or thin U or V unitaries to be computed.
-     *                           By default, none is computed. This is a bit-field, the possible bits are ComputeFullU, ComputeThinU,
+     *                           By default, none is computed. This is a bit-field, the possible bits are #ComputeFullU, #ComputeThinU,
-     *                           ComputeFullV, ComputeThinV.
+     *                           #ComputeFullV, #ComputeThinV.
      *
      * Thin unitaries are only available if your matrix type has a Dynamic number of columns (for example MatrixXf). They also are not
      * available with the (non-default) FullPivHouseholderQR preconditioner.
@@ -422,8 +422,8 @@ template<typename _MatrixType, int QRPreconditioner> class JacobiSVD
      *
      * \param matrix the matrix to decompose
      * \param computationOptions optional parameter allowing to specify if you want full or thin U or V unitaries to be computed.
-     *                           By default, none is computed. This is a bit-field, the possible bits are ComputeFullU, ComputeThinU,
+     *                           By default, none is computed. This is a bit-field, the possible bits are #ComputeFullU, #ComputeThinU,
-     *                           ComputeFullV, ComputeThinV.
+     *                           #ComputeFullV, #ComputeThinV.
      *
      * Thin unitaries are only available if your matrix type has a Dynamic number of columns (for example MatrixXf). They also are not
      * available with the (non-default) FullPivHouseholderQR preconditioner.
@@ -444,7 +444,7 @@ template<typename _MatrixType, int QRPreconditioner> class JacobiSVD
     /** \returns the \a U matrix.
      *
      * For the SVD decomposition of a n-by-p matrix, letting \a m be the minimum of \a n and \a p,
-     * the U matrix is n-by-n if you asked for ComputeFullU, and is n-by-m if you asked for ComputeThinU.
+     * the U matrix is n-by-n if you asked for #ComputeFullU, and is n-by-m if you asked for #ComputeThinU.
      *
      * The \a m first columns of \a U are the left singular vectors of the matrix being decomposed.
      *
@@ -460,7 +460,7 @@ template<typename _MatrixType, int QRPreconditioner> class JacobiSVD
     /** \returns the \a V matrix.
      *
      * For the SVD decomposition of a n-by-p matrix, letting \a m be the minimum of \a n and \a p,
-     * the V matrix is p-by-p if you asked for ComputeFullV, and is p-by-m if you asked for ComputeThinV.
+     * the V matrix is p-by-p if you asked for #ComputeFullV, and is p-by-m if you asked for ComputeThinV.
      *
      * The \a m first columns of \a V are the right singular vectors of the matrix being decomposed.
      *

Eigen/src/Sparse/SparseSelfAdjointView.h

@@ -31,7 +31,7 @@
   * \brief Pseudo expression to manipulate a triangular sparse matrix as a selfadjoint matrix.
   *
   * \param MatrixType the type of the dense matrix storing the coefficients
-  * \param UpLo can be either \c Lower or \c Upper
+  * \param UpLo can be either \c #Lower or \c #Upper
   *
   * This class is an expression of a sefladjoint matrix from a triangular part of a matrix
   * with given dense storage of the coefficients. It is the return type of MatrixBase::selfadjointView()

doc/A05_PortingFrom2To3.dox

@@ -287,7 +287,7 @@ The EIGEN_DONT_ALIGN option still exists in Eigen 3, but it has a new cousin: EI
 
 A common issue with Eigen 2 was that when mapping an array with Map, there was no way to tell Eigen that your array was aligned. There was a ForceAligned option but it didn't mean that; it was just confusing and has been removed.
 
-New in Eigen3 is the Aligned option. See the documentation of class Map. Use it like this:
+New in Eigen3 is the #Aligned option. See the documentation of class Map. Use it like this:
 \code
 Map<Vector4f, Aligned> myMappedVector(some_aligned_array);
 \endcode

doc/Doxyfile.in

@@ -488,7 +488,7 @@ SHOW_FILES             = YES
 # Namespaces page.  This will remove the Namespaces entry from the Quick Index
 # and from the Folder Tree View (if specified). The default is YES.
 
-SHOW_NAMESPACES        = NO
+SHOW_NAMESPACES        = YES
 
 # The FILE_VERSION_FILTER tag can be used to specify a program or script that
 # doxygen should invoke to get the current version for each file (typically from

doc/I03_InsideEigenExample.dox

@@ -400,7 +400,7 @@ inline void writePacket(int index, const PacketScalar& x)
   internal::pstoret<Scalar, PacketScalar, StoreMode>(m_storage.data() + index, x);
 }
 \endcode
-Here, \a StoreMode is \a Aligned, indicating that we are doing a 128-bit-aligned write access, \a PacketScalar is a type representing a "SSE packet of 4 floats" and internal::pstoret is a function writing such a packet in memory. Their definitions are architecture-specific, we find them in src/Core/arch/SSE/PacketMath.h:
+Here, \a StoreMode is \a #Aligned, indicating that we are doing a 128-bit-aligned write access, \a PacketScalar is a type representing a "SSE packet of 4 floats" and internal::pstoret is a function writing such a packet in memory. Their definitions are architecture-specific, we find them in src/Core/arch/SSE/PacketMath.h:
 
 The line in src/Core/arch/SSE/PacketMath.h that determines the PacketScalar type (via a typedef in Matrix.h) is:
 \code
@@ -442,7 +442,7 @@ class CwiseBinaryOp
     }
 };
 \endcode
-Here, \a m_lhs is the vector \a v, and \a m_rhs is the vector \a w. So the packet() function here is Matrix::packet(). The template parameter \a LoadMode is \a Aligned. So we're looking at
+Here, \a m_lhs is the vector \a v, and \a m_rhs is the vector \a w. So the packet() function here is Matrix::packet(). The template parameter \a LoadMode is \a #Aligned. So we're looking at
 \code
 class Matrix
 {

doc/QuickReference.dox

@@ -594,7 +594,7 @@ unit or null diagonal (read/write):
 </td><td>\code
 m.triangularView<Xxx>()
 \endcode \n
-\c Xxx = Upper, Lower, StrictlyUpper, StrictlyLower, UnitUpper, UnitLower
+\c Xxx = ::Upper, ::Lower, ::StrictlyUpper, ::StrictlyLower, ::UnitUpper, ::UnitLower
 </td></tr>
 <tr><td>
 Writing to a specific triangular part:\n (only the referenced triangular part is evaluated)