]> https://gitweb.dealii.org/ - dealii-svn.git/commitdiff
A typo.
authorkronbichler <kronbichler@0785d39b-7218-0410-832d-ea1e28bc413d>
Thu, 14 Aug 2008 15:37:54 +0000 (15:37 +0000)
committerkronbichler <kronbichler@0785d39b-7218-0410-832d-ea1e28bc413d>
Thu, 14 Aug 2008 15:37:54 +0000 (15:37 +0000)
git-svn-id: https://svn.dealii.org/trunk@16544 0785d39b-7218-0410-832d-ea1e28bc413d

deal.II/examples/step-31/doc/intro.dox

index daad86382bef27e8afa0eb36b4aca6aa08b3ac85..063c15c15ddd755c18d1633508aa71788007c400 100644 (file)
@@ -699,7 +699,7 @@ the form
 where $A_s$ is a Laplace matrix of size equal to the number of shape functions
 associated with each component of the vector-valued velocity. With this
 matrix, one could be tempted to define our preconditioner for the
-velocity matrix $A$ as follows:
+velocity matrix <i>A</i> as follows:
 @f{eqnarray*}
   \tilde A^{-1} =
   \left(\begin{array}{ccc}
@@ -740,7 +740,7 @@ almost all the benefits of what we hoped to get.
 
 To sum this whole story up, we can observe:
 <ul>
-  <li> Compared to building a preconditioner from the original matrix <i>S</i>
+  <li> Compared to building a preconditioner from the original matrix <i>A</i>
   resulting from the symmetric gradient as we did in @ref step_22 "step-22",
   we have to expect that the preconditioner based on the Laplace bilinear form
   performs worse since it does not take into account the coupling between

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