factorize CSS code, make use of the "manual" class when appropriate, clean the style of the big linear algebra table

doc/C00_QuickStartGuide.dox

@@ -45,7 +45,7 @@ The following three statements sets the other three entries. The final line outp
 
 Here is another example, which combines matrices with vectors. Concentrate on the left-hand program for now; we will talk about the right-hand program later.
 
-<table class="example">
+<table class="manual">
 <tr><th>Size set at run time:</th><th>Size set at compile time:</th></tr>
 <tr><td>
 \include QuickStart_example2_dynamic.cpp

doc/I02_HiPerformance.dox

@@ -42,7 +42,7 @@ which exactly matches our GEMM routine.
 \subsection GEMM_Limitations Limitations
 Unfortunately, this simplification mechanism is not perfect yet and not all expressions which could be
 handled by a single GEMM-like call are correctly detected.
-<table class="example" style="width:100%">
+<table class="manual" style="width:100%">
 <tr>
 <th>Not optimal expression</th>
 <th>Evaluated as</th>
@@ -60,7 +60,7 @@ m1.noalias() += m2 * m3; \endcode</td>
 <td>Use .noalias() to tell Eigen the result and right-hand-sides do not alias. 
     Otherwise the product m2 * m3 is evaluated into a temporary.</td>
 </tr>
-<tr>
+<tr class="alt">
 <td></td>
 <td></td>
 <td>\code
@@ -83,7 +83,7 @@ m1.noalias() += m3.adjoint()
 <td>This is because the product expression has the EvalBeforeNesting bit which
     enforces the evaluation of the product by the Tranpose expression.</td>
 </tr>
-<tr>
+<tr class="alt">
 <td>\code
 m1 = m1 + m2 * m3; \endcode</td>
 <td>\code
@@ -107,7 +107,7 @@ m1.noalias() += m2 * m3; \endcode</td>
     so that no temporary is required. (tip: for very small fixed size matrix
     it is slighlty better to rewrite it like this: m1.noalias() = m2 * m3; m1 += m4;</td>
 </tr>
-<tr>
+<tr class="alt">
 <td>\code
 m1.noalias() += (s1*m2).block(..) * m3; \endcode</td>
 <td>\code

doc/I11_Aliasing.dox

@@ -115,14 +115,14 @@ If an xxxInPlace() function is available, then it is best to use it, because it
 are doing. This may also allow Eigen to optimize more aggressively. These are some of the xxxInPlace()
 functions provided: 
 
-<table class="example">
+<table class="manual">
 <tr><th>Original function</th><th>In-place function</th></tr>
 <tr> <td> MatrixBase::adjoint() </td> <td> MatrixBase::adjointInPlace() </td> </tr>
-<tr> <td> DenseBase::reverse() </td> <td> DenseBase::reverseInPlace() </td> </tr>
+<tr class="alt"> <td> DenseBase::reverse() </td> <td> DenseBase::reverseInPlace() </td> </tr>
 <tr> <td> LDLT::solve() </td> <td> LDLT::solveInPlace() </td> </tr>
-<tr> <td> LLT::solve() </td> <td> LLT::solveInPlace() </td> </tr>
+<tr class="alt"> <td> LLT::solve() </td> <td> LLT::solveInPlace() </td> </tr>
 <tr> <td> TriangularView::solve() </td> <td> TriangularView::solveInPlace() </td> </tr>
-<tr> <td> DenseBase::transpose() </td> <td> DenseBase::transposeInPlace() </td> </tr>
+<tr class="alt"> <td> DenseBase::transpose() </td> <td> DenseBase::transposeInPlace() </td> </tr>
 </table>
 
 

doc/TopicLinearAlgebraDecompositions.dox

@@ -5,24 +5,24 @@ namespace Eigen {
 
 \section TopicLinAlgBigTable Catalogue of decompositions offered by Eigen
 
-<table border="1">
+<table class="manual-vl">
 
     <tr>
-        <td></td>
+        <th class="meta"></th>
-        <td colspan="5" align="center">Generic information, not Eigen-specific</td>
+        <th class="meta" colspan="5">Generic information, not Eigen-specific</th>
-        <td colspan="3" align="center">Eigen-specific</td>
+        <th class="meta" colspan="3">Eigen-specific</th>
     </tr>
 
     <tr>
-        <td>Decomposition</td>
+        <th>Decomposition</th>
-        <td>Requirements on the matrix</td>
+        <th>Requirements on the matrix</th>
-        <td>Speed</td>
+        <th>Speed</th>
-        <td>Algorithm reliability and accuracy</td>
+        <th>Algorithm reliability and accuracy</th>
-        <td>Rank-revealing</td>
+        <th>Rank-revealing</th>
-        <td>Allows to compute (besides linear solving)</td>
+        <th>Allows to compute (besides linear solving)</th>
-        <td>Linear solver provided by Eigen</td>
+        <th>Linear solver provided by Eigen</th>
-        <td>Maturity of Eigen's implementation</td>
+        <th>Maturity of Eigen's implementation</th>
-        <td>Optimizations</td>
+        <th>Optimizations</th>
     </tr>
 
     <tr>
@@ -37,7 +37,7 @@ namespace Eigen {
         <td>Blocking</td>
     </tr>
 
-    <tr>
+    <tr class="alt">
         <td>FullPivLU</td>
         <td>-</td>
         <td>Slow</td>
@@ -61,7 +61,7 @@ namespace Eigen {
         <td>Blocking</td>
     </tr>
 
-    <tr>
+    <tr class="alt">
         <td>ColPivHouseholderQR</td>
         <td>-</td>
         <td>Fast</td>
@@ -85,7 +85,7 @@ namespace Eigen {
         <td>-</td>
     </tr>
 
-    <tr>
+    <tr class="alt">
         <td>LLT</td>
         <td>Positive definite</td>
         <td>Very fast</td>
@@ -109,7 +109,7 @@ namespace Eigen {
         <td><em>Soon: blocking</em></td>
     </tr>
 
-    <tr><td colspan="9">\n Singular values and eigenvalues decompositions</td></tr>
+    <tr><th class="inter" colspan="9">\n Singular values and eigenvalues decompositions</th></tr>
 
     <tr>
         <td>JacobiSVD (two-sided)</td>
@@ -171,7 +171,7 @@ namespace Eigen {
         <td>-</td>
     </tr>
 
-    <tr><td colspan="9">\n Helper decompositions</td></tr>
+    <tr><th class="inter" colspan="9">\n Helper decompositions</th></tr>
 
     <tr>
         <td>RealSchur</td>

doc/eigendoxy.css

@@ -700,13 +700,11 @@ img {
     border: 0;
 }
 
-/* class for exemple / output tables */
 
-table {
+/* Common style for all Eigen's tables */
+
+table.example, table.manual, table.manual-vl {
     max-width:100%;
-}
-
-table.example {
     border-collapse: collapse;
     border-style: solid;
     border-width: 1px;
@@ -714,18 +712,51 @@ table.example {
     font-size: 1em;
     
     box-shadow: 5px 5px 5px rgba(0, 0, 0, 0.15);
-    -moz-box-shadow: rgba(0, 0, 0, 0.15) 5px 5px 5px;
+    -moz-box-shadow: 5px 5px 5px rgba(0, 0, 0, 0.15);
     -webkit-box-shadow: 5px 5px 5px rgba(0, 0, 0, 0.15);
 }
 
-table.example th {
+table.example th, table.manual th, table.manual-vl th {
   padding: 0.5em 0.5em 0.5em 0.5em;
   text-align: left;
   padding-right: 1em;
-  background-color: #F2F1DC;
+  color: #555555;
+  background-color: #F4F4E5;
   
   background-image: -webkit-gradient(linear,center top,center bottom,from(#FFFFFF), color-stop(0.3,#FFFFFF), color-stop(0.30,#FFFFFF), color-stop(0.98,#F4F4E5), to(#ECECDE));
   background-image: -moz-linear-gradient(center top, #FFFFFF 0%, #FFFFFF 30%, #F4F4E5 98%, #ECECDE);
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#FFFFFF', endColorstr='#F4F4E5');
+}
+
+table.example td, table.manual td, table.manual-vl td {
+  vertical-align:top;
+  border-width: 1px;
+  border-color: #cccccc;
+}
+
+/* header of headers */
+table th.meta {
+  text-align:center;
+  font-size: 1.2em;
+  background-color:#FFFFFF;
+}
+
+/* intermediate header */
+table th.inter {
+  text-align:left;
+  background-color:#FFFFFF;
+  background-image:none;
+  border-style:solid solid solid solid;
+  border-width: 1px;
+	border-color: #cccccc;
+}
+
+/** class for exemple / output tables **/
+
+table.example {
+}
+
+table.example th {
 }
 
 table.example td {
@@ -733,48 +764,35 @@ table.example td {
   vertical-align:top;
 }
 
-
 /* standard class for the manual */
 
-table.manual {
+table.manual, table.manual-vl {
-    border-collapse: collapse;
-    border-style: solid;
-    border-width: 1px;
-    border-color: #cccccc;
-    font-size: 1em;
-    
     padding: 0.2em 0em 0.5em 0em;
-    
-    box-shadow: 5px 5px 5px rgba(0, 0, 0, 0.15);
-    -moz-box-shadow: rgba(0, 0, 0, 0.15) 5px 5px 5px;
-    -webkit-box-shadow: 5px 5px 5px rgba(0, 0, 0, 0.15);
 }
 
-table.manual th {
+table.manual th, table.manual-vl th {
-  padding: 0.5em 0.5em 0.5em 0.5em;
   margin: 0em 0em 0.3em 0em;
-  text-align: left;
-  color: #555555;
-  padding-right: 1em;
-  background-color: #F4F4E5;
-  
-  background-image: -webkit-gradient(linear,center top,center bottom,from(#FFFFFF), color-stop(0.3,#FFFFFF), color-stop(0.30,#FFFFFF), color-stop(0.98,#F4F4E5), to(#ECECDE));
-  background-image: -moz-linear-gradient(center top, #FFFFFF 0%, #FFFFFF 30%, #F4F4E5 98%, #ECECDE);
 }
 
-table.manual td {
+table.manual td, table.manual-vl td {
   padding: 0.3em 0.5em 0.3em 0.5em;
   vertical-align:top;
   border-width: 1px;
-	border-color: #cccccc;
 }
 
-table.manual td.alt, table.manual tr.alt {
+table.manual td.alt, table.manual tr.alt, table.manual-vl td.alt, table.manual-vl tr.alt {
-  /*padding: 0.3em 0.5em 0.3em 0.5em;
-  vertical-align:top;*/
   background-color: #F4F4E5;
 }
 
+table.manual-vl th, table.manual-vl td, table.manual-vl td.alt {
+  border-color: #cccccc;
+  border-width: 1px;
+  border-style: none solid none solid;
+}
+
+table.manual-vl th.inter {
+  border-style: solid solid solid solid;
+}
 
 h2 {
   margin-top:2em;