update style of the quick ref guide

1 files changed, 36 insertions, 36 deletions

diff --git a/doc/QuickReference.dox b/doc/QuickReference.dox
index a7d42767c..467899fb5 100644
--- a/doc/QuickReference.dox
+++ b/doc/QuickReference.dox
@@ -20,19 +20,19 @@ namespace Eigen {
 
 The Eigen library is divided in a Core module and several additional modules. Each module has a corresponding header file which has to be included in order to use the module. The \c %Dense and \c Eigen header files are provided to conveniently gain access to several modules at once.
 
-<table class="tutorial_code">
-<tr><td>Module</td><td>Header file</td><td>Contents</td></tr>
+<table class="manual">
+<tr><th>Module</th><th>Header file</th><th>Contents</th></tr>
 <tr><td>\link Core_Module Core \endlink</td><td>\code#include <Eigen/Core>\endcode</td><td>Matrix and Array classes, basic linear algebra (including triangular and selfadjoint products), array manipulation</td></tr>
-<tr><td>\link Geometry_Module Geometry \endlink</td><td>\code#include <Eigen/Geometry>\endcode</td><td>Transform, Translation, Scaling, Rotation2D and 3D rotations (Quaternion, AngleAxis)</td></tr>
+<tr class="alt"><td>\link Geometry_Module Geometry \endlink</td><td>\code#include <Eigen/Geometry>\endcode</td><td>Transform, Translation, Scaling, Rotation2D and 3D rotations (Quaternion, AngleAxis)</td></tr>
 <tr><td>\link LU_Module LU \endlink</td><td>\code#include <Eigen/LU>\endcode</td><td>Inverse, determinant, LU decompositions with solver (FullPivLU, PartialPivLU)</td></tr>
 <tr><td>\link Cholesky_Module Cholesky \endlink</td><td>\code#include <Eigen/Cholesky>\endcode</td><td>LLT and LDLT Cholesky factorization with solver</td></tr>
-<tr><td>\link Householder_Module Householder \endlink</td><td>\code#include <Eigen/Householder>\endcode</td><td>Householder transformations; this module is used by several linear algebra modules</td></tr>
+<tr class="alt"><td>\link Householder_Module Householder \endlink</td><td>\code#include <Eigen/Householder>\endcode</td><td>Householder transformations; this module is used by several linear algebra modules</td></tr>
 <tr><td>\link SVD_Module SVD \endlink</td><td>\code#include <Eigen/SVD>\endcode</td><td>SVD decomposition with least-squares solver (JacobiSVD)</td></tr>
-<tr><td>\link QR_Module QR \endlink</td><td>\code#include <Eigen/QR>\endcode</td><td>QR decomposition with solver (HouseholderQR, ColPivHouseholderQR, FullPivHouseholderQR)</td></tr>
+<tr class="alt"><td>\link QR_Module QR \endlink</td><td>\code#include <Eigen/QR>\endcode</td><td>QR decomposition with solver (HouseholderQR, ColPivHouseholderQR, FullPivHouseholderQR)</td></tr>
 <tr><td>\link Eigenvalues_Module Eigenvalues \endlink</td><td>\code#include <Eigen/Eigenvalues>\endcode</td><td>Eigenvalue, eigenvector decompositions (EigenSolver, SelfAdjointEigenSolver, ComplexEigenSolver)</td></tr>
-<tr><td>\link Sparse_Module Sparse \endlink</td><td>\code#include <Eigen/Sparse>\endcode</td><td>%Sparse matrix storage and related basic linear algebra (SparseMatrix, DynamicSparseMatrix, SparseVector)</td></tr>
+<tr class="alt"><td>\link Sparse_Module Sparse \endlink</td><td>\code#include <Eigen/Sparse>\endcode</td><td>%Sparse matrix storage and related basic linear algebra (SparseMatrix, DynamicSparseMatrix, SparseVector)</td></tr>
 <tr><td></td><td>\code#include <Eigen/Dense>\endcode</td><td>Includes Core, Geometry, LU, Cholesky, SVD, QR, and Eigenvalues header files</td></tr>
-<tr><td></td><td>\code#include <Eigen/Eigen>\endcode</td><td>Includes %Dense and %Sparse header files (the whole Eigen library)</td></tr>
+<tr class="alt"><td></td><td>\code#include <Eigen/Eigen>\endcode</td><td>Includes %Dense and %Sparse header files (the whole Eigen library)</td></tr>
 </table>
 
 <a href="#" class="top">top</a>
@@ -98,8 +98,8 @@ In the rest of this document we will use the following symbols to emphasize the
 
 \subsection QuickRef_Basics Basic matrix manipulation
 
-<table class="tutorial_code">
-<tr><td></td><td>1D objects</td><td>2D objects</td><td>Notes</td></tr>
+<table class="manual">
+<tr><th></th><th>1D objects</th><th>2D objects</th><th>Notes</th></tr>
 <tr><td>Constructors</td>
 <td>\code
 Vector4d  v4;
@@ -119,7 +119,7 @@ MatrixXf  m5; // empty object
 MatrixXf  m6(nb_rows, nb_columns);
 \endcode</td><td class="note">
 By default, the coefficients \n are left uninitialized</td></tr>
-<tr><td>Comma initializer</td>
+<tr class="alt"><td>Comma initializer</td>
 <td>\code
 Vector3f  v1;     v1 << x, y, z;
 ArrayXf   v2(4);  v2 << 1, 2, 3, 4;
@@ -140,7 +140,7 @@ output:
 </td>
 </tr>
 
-<tr><td>Runtime info</td>
+<tr class="alt"><td>Runtime info</td>
 <td>\code
 vector.size();
 
@@ -158,7 +158,7 @@ ObjectType::Scalar              ObjectType::RowsAtCompileTime
 ObjectType::RealScalar          ObjectType::ColsAtCompileTime
 ObjectType::Index               ObjectType::SizeAtCompileTime
 \endcode</td><td></td></tr>
-<tr><td>Resizing</td>
+<tr class="alt"><td>Resizing</td>
 <td>\code
 vector.resize(size);
 
@@ -183,7 +183,7 @@ vector[i]     vector.y()
 matrix(i,j)
 \endcode</td><td class="note">Range checking is disabled if \n NDEBUG or #EIGEN_NO_DEBUG is defined</td></tr>
 
-<tr><td>Coeff access without \n range checking</td>
+<tr class="alt"><td>Coeff access without \n range checking</td>
 <td>\code
 vector.coeff(i)
 vector.coeffRef(i)
@@ -202,11 +202,11 @@ object_of_float = expression_of_double.cast<float>();
 
 \subsection QuickRef_PredefMat Predefined Matrices
 
-<table class="tutorial_code">
+<table class="manual">
 <tr>
-  <td>Fixed-size matrix or vector</td>
-  <td>Dynamic-size matrix</td>
-  <td>Dynamic-size vector</td>
+  <th>Fixed-size matrix or vector</th>
+  <th>Dynamic-size matrix</th>
+  <th>Dynamic-size vector</th>
 </tr>
 <tr style="border-bottom-style: none;">
   <td>
@@ -303,7 +303,7 @@ VectorXf::Unit(4,1) == Vector4f(0,1,0,0)
 
 \subsection QuickRef_Map Mapping external arrays
 
-<table class="tutorial_code">
+<table class="manual">
 <tr>
 <td>Contiguous \n memory</td>
 <td>\code
@@ -330,13 +330,13 @@ Map<MatrixXf,0,OuterStride<> >   m1(data,2,3,OuterStride<>(3));   // are equal t
 <a href="#" class="top">top</a>
 \section QuickRef_ArithmeticOperators Arithmetic Operators
 
-<table class="tutorial_code">
+<table class="manual">
 <tr><td>
 add \n subtract</td><td>\code
 mat3 = mat1 + mat2;           mat3 += mat1;
 mat3 = mat1 - mat2;           mat3 -= mat1;\endcode
 </td></tr>
-<tr><td>
+<tr class="alt"><td>
 scalar product</td><td>\code
 mat3 = mat1 * s1;             mat3 *= s1;           mat3 = s1 * mat1;
 mat3 = mat1 / s1;             mat3 /= s1;\endcode
@@ -347,7 +347,7 @@ col2 = mat1 * col1;
 row2 = row1 * mat1;           row1 *= mat1;
 mat3 = mat1 * mat2;           mat3 *= mat1; \endcode
 </td></tr>
-<tr><td>
+<tr class="alt"><td>
 transposition \n adjoint \matrixworld</td><td>\code
 mat1 = mat2.transpose();      mat1.transposeInPlace();
 mat1 = mat2.adjoint();        mat1.adjointInPlace();
@@ -359,7 +359,7 @@ scalar = vec1.dot(vec2);
 scalar = col1.adjoint() * col2;
 scalar = (col1.adjoint() * col2).value();\endcode
 </td></tr>
-<tr><td>
+<tr class="alt"><td>
 outer product \matrixworld</td><td>\code
 mat = col1 * col2.transpose();\endcode
 </td></tr>
@@ -370,7 +370,7 @@ scalar = vec1.norm();         scalar = vec1.squaredNorm()
 vec2 = vec1.normalized();     vec1.normalize(); // inplace \endcode
 </td></tr>
 
-<tr><td>
+<tr class="alt"><td>
 \link MatrixBase::cross() cross product \endlink \matrixworld</td><td>\code
 #include <Eigen/Geometry>
 vec3 = vec1.cross(vec2);\endcode</td></tr>
@@ -379,8 +379,8 @@ vec3 = vec1.cross(vec2);\endcode</td></tr>
 <a href="#" class="top">top</a>
 \section QuickRef_Coeffwise Coefficient-wise \& Array operators
 Coefficient-wise operators for matrices and vectors:
-<table class="tutorial_code">
-<tr><td>Matrix API \matrixworld</td><td>Via Array conversions</td></tr>
+<table class="manual">
+<tr><th>Matrix API \matrixworld</th><th>Via Array conversions</th></tr>
 <tr><td>\code
 mat1.cwiseMin(mat2)
 mat1.cwiseMax(mat2)
@@ -402,7 +402,7 @@ mat1.array() / mat2.array()
 
 Array operators:\arrayworld
 
-<table class="tutorial_code">
+<table class="manual">
 <tr><td>Arithmetic operators</td><td>\code
 array1 * array2     array1 / array2     array1 *= array2    array1 /= array2
 array1 + scalar     array1 - scalar     array1 += scalar    array1 -= scalar
@@ -443,14 +443,14 @@ Eigen provides several reduction methods such as:
 All reduction operations can be done matrix-wise,
 \link DenseBase::colwise() column-wise \endlink \redstar or
 \link DenseBase::rowwise() row-wise \endlink \redstar. Usage example:
-<table class="tutorial_code">
-<tr><td rowspan="3" style="border-right-style:dashed">\code
+<table class="manual">
+<tr><td rowspan="3" style="border-right-style:dashed;vertical-align:middle">\code
       5 3 1
 mat = 2 7 8
       9 4 6 \endcode
 </td> <td>\code mat.minCoeff(); \endcode</td><td>\code 1 \endcode</td></tr>
-<tr><td>\code mat.colwise().minCoeff(); \endcode</td><td>\code 2 3 1 \endcode</td></tr>
-<tr><td>\code mat.rowwise().minCoeff(); \endcode</td><td>\code
+<tr class="alt"><td>\code mat.colwise().minCoeff(); \endcode</td><td>\code 2 3 1 \endcode</td></tr>
+<tr style="vertical-align:middle"><td>\code mat.rowwise().minCoeff(); \endcode</td><td>\code
 1
 2
 4
@@ -486,19 +486,19 @@ mat1.col(j1).swap(mat1.col(j2));
 </div>
 
 Read-write access to sub-vectors:
-<table class="tutorial_code">
+<table class="manual">
 <tr>
-<td>Default versions</td>
-<td>Optimized versions when the size \n is known at compile time</td></tr>
-<td></td>
+<th>Default versions</th>
+<th>Optimized versions when the size \n is known at compile time</th></tr>
+<th></th>
 
 <tr><td>\code vec1.head(n)\endcode</td><td>\code vec1.head<n>()\endcode</td><td>the first \c n coeffs </td></tr>
 <tr><td>\code vec1.tail(n)\endcode</td><td>\code vec1.tail<n>()\endcode</td><td>the last \c n coeffs </td></tr>
 <tr><td>\code vec1.segment(pos,n)\endcode</td><td>\code vec1.segment<n>(pos)\endcode</td>
     <td>the \c n coeffs in \n the range [\c pos : \c pos + \c n [</td></tr>
-<tr style="border-style: dashed none dashed none;"><td>
+<tr class="alt"><td colspan="3">
 
-Read-write access to sub-matrices:</td><td></td><td></td></tr>
+Read-write access to sub-matrices:</td></tr>
 <tr>
   <td>\code mat1.block(i,j,rows,cols)\endcode
       \link DenseBase::block(Index,Index,Index,Index) (more) \endlink</td>