Move inheritance from Eigen example in stand-alone file.

Also fix a small mistake (Vector3d instead of VectorXd).

doc/CustomizingEigen.dox

@@ -72,55 +72,32 @@ Then one can the following declaration in the config.h or whatever prerequisites
 
 \section InheritingFromMatrix Inheriting from Matrix
 
-Before inheriting from Matrix, be really, i mean REALLY sure that using
+Before inheriting from Matrix, be really, I mean REALLY, sure that using
 EIGEN_MATRIX_PLUGIN is not what you really want (see previous section).
 If you just need to add few members to Matrix, this is the way to go.
 
-An example of when you actually need to inherit Matrix, is when you have
+An example of when you actually need to inherit Matrix, is when you
-several layers of heritage such as  MyVerySpecificVector1,MyVerySpecificVector1 -> MyVector1 -> Matrix and.
+have several layers of heritage such as 
+MyVerySpecificVector1, MyVerySpecificVector2 -> MyVector1 -> Matrix and
 MyVerySpecificVector3, MyVerySpecificVector4 -> MyVector2 -> Matrix.
 
 In order for your object to work within the %Eigen framework, you need to
 define a few members in your inherited class.
 
-Here is a minimalistic example:\n
+Here is a minimalistic example:
-\code
-class MyVectorType : public  Eigen::VectorXd
-{
-public:
-    MyVectorType(void):Eigen::VectorXd() {}
 
-    typedef Eigen::VectorXd Base;
+\include CustomizingEigen_Inheritance.cpp
 
-    // This constructor allows you to construct MyVectorType from Eigen expressions
+Output: \verbinclude CustomizingEigen_Inheritance.out
-    template<typename OtherDerived>
-    MyVectorType(const Eigen::MatrixBase<OtherDerived>& other)
-        : Eigen::Vector3d(other)
-    { }
-
-    // This method allows you to assign Eigen expressions to MyVectorType
-    template<typename OtherDerived>
-    MyVectorType & operator= (const Eigen::MatrixBase <OtherDerived>& other)
-    {
-        this->Base::operator=(other);
-        return *this;
-    }
-};
-\endcode
 
 This is the kind of error you can get if you don't provide those methods
-\code
+\verbatim
-error: no match for ‘operator=’ in ‘delta =
+error: no match for ‘operator=’ in ‘v = Eigen::operator*(
-(((Eigen::MatrixBase<Eigen::Matrix<std::complex<float>, 10000, 1, 2, 10000,
+const Eigen::MatrixBase<Eigen::Matrix<double, -0x000000001, 1, 0, -0x000000001, 1> >::Scalar&, 
-1> >*)(& delta)) + 8u)->Eigen::MatrixBase<Derived>::cwise [with Derived =
+const Eigen::MatrixBase<Eigen::Matrix<double, -0x000000001, 1> >::StorageBaseType&)
-Eigen::Matrix<std::complex<float>, 10000, 1, 2, 10000,
+(((const Eigen::MatrixBase<Eigen::Matrix<double, -0x000000001, 1> >::StorageBaseType&)
-1>]().Eigen::Cwise<ExpressionType>::operator* [with OtherDerived =
+((const Eigen::MatrixBase<Eigen::Matrix<double, -0x000000001, 1> >::StorageBaseType*)(& v))))’
-Eigen::Matrix<std::complex<float>, 10000, 1, 2, 10000, 1>, ExpressionType =
+\endverbatim
-Eigen::Matrix<std::complex<float>, 10000, 1, 2, 10000, 1>](((const
-Eigen::MatrixBase<Eigen::Matrix<std::complex<float>, 10000, 1, 2, 10000, 1>
->&)(((const Eigen::MatrixBase<Eigen::Matrix<std::complex<float>, 10000, 1,
->2, 10000, 1> >*)((const spectral1d*)where)) + 8u)))’                                                    
-\endcode
 
 \anchor user_defined_scalars \section CustomScalarType Using custom scalar types
 

doc/TemplateKeyword.dox

@@ -5,7 +5,8 @@ namespace Eigen {
 There are two uses for the \c template and \c typename keywords in C++. One of them is fairly well known
 amongst programmers: to define templates. The other use is more obscure: to specify that an expression refers
 to a template function or a type. This regularly trips up programmers that use the %Eigen library, often
-leading to error messages from the compiler that are difficult to understand.
+leading to error messages from the compiler that are difficult to understand, such as "expected expression" or
+"no match for operator<".
 
 \eigenAutoToc
 

doc/examples/CustomizingEigen_Inheritance.cpp

@@ -0,0 +1,30 @@
+#include <Eigen/Core>
+#include <iostream>
+
+class MyVectorType : public Eigen::VectorXd
+{
+public:
+    MyVectorType(void):Eigen::VectorXd() {}
+
+    // This constructor allows you to construct MyVectorType from Eigen expressions
+    template<typename OtherDerived>
+    MyVectorType(const Eigen::MatrixBase<OtherDerived>& other)
+        : Eigen::VectorXd(other)
+    { }
+
+    // This method allows you to assign Eigen expressions to MyVectorType
+    template<typename OtherDerived>
+    MyVectorType& operator=(const Eigen::MatrixBase <OtherDerived>& other)
+    {
+        this->Eigen::VectorXd::operator=(other);
+        return *this;
+    }
+};
+
+int main()
+{
+  MyVectorType v = MyVectorType::Ones(4);
+  v(2) += 10;
+  v = 2 * v;
+  std::cout << v.transpose() << std::endl;
+}