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+namespace Eigen {
+
+/** \eigenManualPage TutorialArrayClass The Array class and coefficient-wise operations
+
+This page aims to provide an overview and explanations on how to use
+Eigen's Array class.
+
+\eigenAutoToc
+  
+\section TutorialArrayClassIntro What is the Array class?
+
+The Array class provides general-purpose arrays, as opposed to the Matrix class which
+is intended for linear algebra. Furthermore, the Array class provides an easy way to
+perform coefficient-wise operations, which might not have a linear algebraic meaning,
+such as adding a constant to every coefficient in the array or multiplying two arrays coefficient-wise.
+
+
+\section TutorialArrayClassTypes Array types
+Array is a class template taking the same template parameters as Matrix.
+As with Matrix, the first three template parameters are mandatory:
+\code
+Array<typename Scalar, int RowsAtCompileTime, int ColsAtCompileTime>
+\endcode
+The last three template parameters are optional. Since this is exactly the same as for Matrix,
+we won't explain it again here and just refer to \ref TutorialMatrixClass.
+
+Eigen also provides typedefs for some common cases, in a way that is similar to the Matrix typedefs
+but with some slight differences, as the word "array" is used for both 1-dimensional and 2-dimensional arrays.
+We adopt the convention that typedefs of the form ArrayNt stand for 1-dimensional arrays, where N and t are
+the size and the scalar type, as in the Matrix typedefs explained on \ref TutorialMatrixClass "this page". For 2-dimensional arrays, we
+use typedefs of the form ArrayNNt. Some examples are shown in the following table:
+
+<table class="manual">
+  <tr>
+    <th>Type </th>
+    <th>Typedef </th>
+  </tr>
+  <tr>
+    <td> \code Array<float,Dynamic,1> \endcode </td>
+    <td> \code ArrayXf \endcode </td>
+  </tr>
+  <tr>
+    <td> \code Array<float,3,1> \endcode </td>
+    <td> \code Array3f \endcode </td>
+  </tr>
+  <tr>
+    <td> \code Array<double,Dynamic,Dynamic> \endcode </td>
+    <td> \code ArrayXXd \endcode </td>
+  </tr>
+  <tr>
+    <td> \code Array<double,3,3> \endcode </td>
+    <td> \code Array33d \endcode </td>
+  </tr>
+</table>
+
+
+\section TutorialArrayClassAccess Accessing values inside an Array
+
+The parenthesis operator is overloaded to provide write and read access to the coefficients of an array, just as with matrices.
+Furthermore, the \c << operator can be used to initialize arrays (via the comma initializer) or to print them.
+
+<table class="example">
+<tr><th>Example:</th><th>Output:</th></tr>
+<tr><td>
+\include Tutorial_ArrayClass_accessors.cpp
+</td>
+<td>
+\verbinclude Tutorial_ArrayClass_accessors.out
+</td></tr></table>
+
+For more information about the comma initializer, see \ref TutorialAdvancedInitialization.
+
+
+\section TutorialArrayClassAddSub Addition and subtraction
+
+Adding and subtracting two arrays is the same as for matrices.
+The operation is valid if both arrays have the same size, and the addition or subtraction is done coefficient-wise.
+
+Arrays also support expressions of the form <tt>array + scalar</tt> which add a scalar to each coefficient in the array.
+This provides a functionality that is not directly available for Matrix objects.
+
+<table class="example">
+<tr><th>Example:</th><th>Output:</th></tr>
+<tr><td>
+\include Tutorial_ArrayClass_addition.cpp
+</td>
+<td>
+\verbinclude Tutorial_ArrayClass_addition.out
+</td></tr></table>
+
+
+\section TutorialArrayClassMult Array multiplication
+
+First of all, of course you can multiply an array by a scalar, this works in the same way as matrices. Where arrays
+are fundamentally different from matrices, is when you multiply two together. Matrices interpret
+multiplication as matrix product and arrays interpret multiplication as coefficient-wise product. Thus, two 
+arrays can be multiplied if and only if they have the same dimensions.
+
+<table class="example">
+<tr><th>Example:</th><th>Output:</th></tr>
+<tr><td>
+\include Tutorial_ArrayClass_mult.cpp
+</td>
+<td>
+\verbinclude Tutorial_ArrayClass_mult.out
+</td></tr></table>
+
+
+\section TutorialArrayClassCwiseOther Other coefficient-wise operations
+
+The Array class defines other coefficient-wise operations besides the addition, subtraction and multiplication
+operators described above. For example, the \link ArrayBase::abs() .abs() \endlink method takes the absolute
+value of each coefficient, while \link ArrayBase::sqrt() .sqrt() \endlink computes the square root of the
+coefficients. If you have two arrays of the same size, you can call \link ArrayBase::min(const Eigen::ArrayBase<OtherDerived>&) const .min(.) \endlink to
+construct the array whose coefficients are the minimum of the corresponding coefficients of the two given
+arrays. These operations are illustrated in the following example.
+
+<table class="example">
+<tr><th>Example:</th><th>Output:</th></tr>
+<tr><td>
+\include Tutorial_ArrayClass_cwise_other.cpp
+</td>
+<td>
+\verbinclude Tutorial_ArrayClass_cwise_other.out
+</td></tr></table>
+
+More coefficient-wise operations can be found in the \ref QuickRefPage.
+
+
+\section TutorialArrayClassConvert Converting between array and matrix expressions
+
+When should you use objects of the Matrix class and when should you use objects of the Array class? You cannot
+apply Matrix operations on arrays, or Array operations on matrices. Thus, if you need to do linear algebraic
+operations such as matrix multiplication, then you should use matrices; if you need to do coefficient-wise
+operations, then you should use arrays. However, sometimes it is not that simple, but you need to use both
+Matrix and Array operations. In that case, you need to convert a matrix to an array or reversely. This gives
+access to all operations regardless of the choice of declaring objects as arrays or as matrices.
+
+\link MatrixBase Matrix expressions \endlink have an \link MatrixBase::array() .array() \endlink method that
+'converts' them into \link ArrayBase array expressions\endlink, so that coefficient-wise operations
+can be applied easily. Conversely, \link ArrayBase array expressions \endlink
+have a \link ArrayBase::matrix() .matrix() \endlink method. As with all Eigen expression abstractions,
+this doesn't have any runtime cost (provided that you let your compiler optimize).
+Both \link MatrixBase::array() .array() \endlink and \link ArrayBase::matrix() .matrix() \endlink 
+can be used as rvalues and as lvalues.
+
+Mixing matrices and arrays in an expression is forbidden with Eigen. For instance, you cannot add a matrix and
+array directly; the operands of a \c + operator should either both be matrices or both be arrays. However,
+it is easy to convert from one to the other with \link MatrixBase::array() .array() \endlink and 
+\link ArrayBase::matrix() .matrix()\endlink. The exception to this rule is the assignment operator: it is
+allowed to assign a matrix expression to an array variable, or to assign an array expression to a matrix
+variable.
+
+The following example shows how to use array operations on a Matrix object by employing the 
+\link MatrixBase::array() .array() \endlink method. For example, the statement 
+<tt>result = m.array() * n.array()</tt> takes two matrices \c m and \c n, converts them both to an array, uses
+* to multiply them coefficient-wise and assigns the result to the matrix variable \c result (this is legal
+because Eigen allows assigning array expressions to matrix variables). 
+
+As a matter of fact, this usage case is so common that Eigen provides a \link MatrixBase::cwiseProduct() const
+.cwiseProduct(.) \endlink method for matrices to compute the coefficient-wise product. This is also shown in
+the example program.
+
+<table class="example">
+<tr><th>Example:</th><th>Output:</th></tr>
+<tr><td>
+\include Tutorial_ArrayClass_interop_matrix.cpp
+</td>
+<td>
+\verbinclude Tutorial_ArrayClass_interop_matrix.out
+</td></tr></table>
+
+Similarly, if \c array1 and \c array2 are arrays, then the expression <tt>array1.matrix() * array2.matrix()</tt>
+computes their matrix product.
+
+Here is a more advanced example. The expression <tt>(m.array() + 4).matrix() * m</tt> adds 4 to every
+coefficient in the matrix \c m and then computes the matrix product of the result with \c m. Similarly, the
+expression <tt>(m.array() * n.array()).matrix() * m</tt> computes the coefficient-wise product of the matrices
+\c m and \c n and then the matrix product of the result with \c m.
+
+<table class="example">
+<tr><th>Example:</th><th>Output:</th></tr>
+<tr><td>
+\include Tutorial_ArrayClass_interop.cpp
+</td>
+<td>
+\verbinclude Tutorial_ArrayClass_interop.out
+</td></tr></table>
+
+*/
+
+}