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--- a/libs/math/doc/html/math_toolkit/lanczos.html
+++ b/libs/math/doc/html/math_toolkit/lanczos.html
@@ -4,8 +4,8 @@
 <title>The Lanczos Approximation</title>
 <link rel="stylesheet" href="../math.css" type="text/css">
 <meta name="generator" content="DocBook XSL Stylesheets V1.79.1">
-<link rel="home" href="../index.html" title="Math Toolkit 2.10.0">
-<link rel="up" href="../backgrounders.html" title="Chapter&#160;21.&#160;Backgrounders">
+<link rel="home" href="../index.html" title="Math Toolkit 2.11.0">
+<link rel="up" href="../backgrounders.html" title="Chapter&#160;22.&#160;Backgrounders">
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 </head>
@@ -105,23 +105,26 @@
 <p>
       The Lanczos Approximation to the Gamma Function is given by:
     </p>
-<p>
-      <span class="inlinemediaobject"><img src="../../equations/lanczos0.svg"></span>
-    </p>
+<div class="blockquote"><blockquote class="blockquote"><p>
+        <span class="inlinemediaobject"><img src="../../equations/lanczos0.svg"></span>
+
+      </p></blockquote></div>
 <p>
       Where S<sub>g</sub>(z) is an infinite sum, that is convergent for all z &gt; 0, and <span class="emphasis"><em>g</em></span>
       is an arbitrary parameter that controls the "shape" of the terms
       in the sum which is given by:
     </p>
-<p>
-      <span class="inlinemediaobject"><img src="../../equations/lanczos0a.svg"></span>
-    </p>
+<div class="blockquote"><blockquote class="blockquote"><p>
+        <span class="inlinemediaobject"><img src="../../equations/lanczos0a.svg"></span>
+
+      </p></blockquote></div>
 <p>
       With individual coefficients defined in closed form by:
     </p>
-<p>
-      <span class="inlinemediaobject"><img src="../../equations/lanczos0b.svg"></span>
-    </p>
+<div class="blockquote"><blockquote class="blockquote"><p>
+        <span class="inlinemediaobject"><img src="../../equations/lanczos0b.svg"></span>
+
+      </p></blockquote></div>
 <p>
       However, evaluation of the sum in that form can lead to numerical instability
       in the computation of the ratios of rising and falling factorials (effectively
@@ -132,15 +135,17 @@
       The Lanczos approximation is therefore often written in partial fraction form
       with the leading constants absorbed by the coefficients in the sum:
     </p>
-<p>
-      <span class="inlinemediaobject"><img src="../../equations/lanczos1.svg"></span>
-    </p>
+<div class="blockquote"><blockquote class="blockquote"><p>
+        <span class="inlinemediaobject"><img src="../../equations/lanczos1.svg"></span>
+
+      </p></blockquote></div>
 <p>
       where:
     </p>
-<p>
-      <span class="inlinemediaobject"><img src="../../equations/lanczos2.svg"></span>
-    </p>
+<div class="blockquote"><blockquote class="blockquote"><p>
+        <span class="inlinemediaobject"><img src="../../equations/lanczos2.svg"></span>
+
+      </p></blockquote></div>
 <p>
       Again parameter <span class="emphasis"><em>g</em></span> is an arbitrarily chosen constant, and
       <span class="emphasis"><em>N</em></span> is an arbitrarily chosen number of terms to evaluate
@@ -177,27 +182,31 @@
 <p>
       where B is an NxN matrix:
     </p>
-<p>
-      <span class="inlinemediaobject"><img src="../../equations/lanczos4.svg"></span>
-    </p>
+<div class="blockquote"><blockquote class="blockquote"><p>
+        <span class="inlinemediaobject"><img src="../../equations/lanczos4.svg"></span>
+
+      </p></blockquote></div>
 <p>
       D is an NxN matrix:
     </p>
-<p>
-      <span class="inlinemediaobject"><img src="../../equations/lanczos3.svg"></span>
-    </p>
+<div class="blockquote"><blockquote class="blockquote"><p>
+        <span class="inlinemediaobject"><img src="../../equations/lanczos3.svg"></span>
+
+      </p></blockquote></div>
 <p>
       C is an NxN matrix:
     </p>
-<p>
-      <span class="inlinemediaobject"><img src="../../equations/lanczos5.svg"></span>
-    </p>
+<div class="blockquote"><blockquote class="blockquote"><p>
+        <span class="inlinemediaobject"><img src="../../equations/lanczos5.svg"></span>
+
+      </p></blockquote></div>
 <p>
       and F is an N element column vector:
     </p>
-<p>
-      <span class="inlinemediaobject"><img src="../../equations/lanczos6.svg"></span>
-    </p>
+<div class="blockquote"><blockquote class="blockquote"><p>
+        <span class="inlinemediaobject"><img src="../../equations/lanczos6.svg"></span>
+
+      </p></blockquote></div>
 <p>
       Note than the matrices B, D and C contain all integer terms and depend only
       on <span class="emphasis"><em>N</em></span>, this product should be computed first, and then
@@ -228,7 +237,7 @@
       to float precision with double precision arithmetic.
     </p>
 <div class="table">
-<a name="math_toolkit.lanczos.optimal_choices_for_n_and_g_when"></a><p class="title"><b>Table&#160;21.1.&#160;Optimal choices for N and g when computing with guard digits (source:
+<a name="math_toolkit.lanczos.optimal_choices_for_n_and_g_when"></a><p class="title"><b>Table&#160;22.1.&#160;Optimal choices for N and g when computing with guard digits (source:
       Pugh)</b></p>
 <div class="table-contents"><table class="table" summary="Optimal choices for N and g when computing with guard digits (source:
       Pugh)">
@@ -372,7 +381,7 @@
       epsilon for the type in question.
     </p>
 <div class="table">
-<a name="math_toolkit.lanczos.optimum_value_for_n_and_g_when_c"></a><p class="title"><b>Table&#160;21.2.&#160;Optimum value for N and g when computing at fixed precision</b></p>
+<a name="math_toolkit.lanczos.optimum_value_for_n_and_g_when_c"></a><p class="title"><b>Table&#160;22.2.&#160;Optimum value for N and g when computing at fixed precision</b></p>
 <div class="table-contents"><table class="table" summary="Optimum value for N and g when computing at fixed precision">
 <colgroup>
 <col>
@@ -525,9 +534,10 @@
       a factor of exp(g) from the denominator, and then dividing all the coefficients
       by exp(g):
     </p>
-<p>
-      <span class="inlinemediaobject"><img src="../../equations/lanczos7.svg"></span>
-    </p>
+<div class="blockquote"><blockquote class="blockquote"><p>
+        <span class="inlinemediaobject"><img src="../../equations/lanczos7.svg"></span>
+
+      </p></blockquote></div>
 <p>
       This form is more convenient for calculating lgamma, but for the gamma function
       the division by <span class="emphasis"><em>e</em></span> turns a possibly exact quality into