From: Matthias Maier <tamiko@kyomu.43-1.org>
Date: Tue, 23 Dec 2014 10:13:19 +0000 (+0100)
Subject: Fix link in step-52
X-Git-Tag: v8.2.0-rc1~3^2~7
X-Git-Url: https://gitweb.dealii.org/cgi-bin/gitweb.cgi?a=commitdiff_plain;h=431957a5655ee51ea0693a1391aa983e2da506e8;p=dealii.git

Fix link in step-52
---

diff --git a/examples/step-52/step-52.cc b/examples/step-52/step-52.cc
index 51c7d9e302..774b7e6b83 100644
--- a/examples/step-52/step-52.cc
+++ b/examples/step-52/step-52.cc
@@ -181,17 +181,18 @@ namespace Step52
 
 
 
-  // @sect4{<code>Diffusion::assemble_system</code>} In this function, we
-  // compute $-\int D \nabla b_i \cdot \nabla b_j d\boldsymbol{r} - \int
-  // \Sigma_a b_i b_j d\boldsymbol{r}$ and the mass matrix $\int b_i b_j
-  // d\boldsymbol{r}$. The mass matrix is then inverted using a direct solver;
-  // the <code>inverse_mass_matrix</code> variable will then store the inverse
-  // of the mass matrix so that $M^{-1}$ can be applied to a vector using the
-  // <code>vmult()</code> function of that object. (Internally, UMFPACK does
-  // not really store the inverse of the matrix, but its LU factors; applying
-  // the inverse matrix is then equivalent to doing one forward and one
-  // backward solves with these two factors, which has the same complexity as
-  // applying an explicit inverse of the matrix).
+  // @sect4{<code>Diffusion::assemble_system</code>}
+  // In this function, we compute $-\int D \nabla b_i \cdot \nabla b_j
+  // d\boldsymbol{r} - \int \Sigma_a b_i b_j d\boldsymbol{r}$ and the mass
+  // matrix $\int b_i b_j d\boldsymbol{r}$. The mass matrix is then
+  // inverted using a direct solver; the <code>inverse_mass_matrix</code>
+  // variable will then store the inverse of the mass matrix so that
+  // $M^{-1}$ can be applied to a vector using the <code>vmult()</code>
+  // function of that object. (Internally, UMFPACK does not really store
+  // the inverse of the matrix, but its LU factors; applying the inverse
+  // matrix is then equivalent to doing one forward and one backward solves
+  // with these two factors, which has the same complexity as applying an
+  // explicit inverse of the matrix).
   void Diffusion::assemble_system ()
   {
     system_matrix = 0.;