From: Denis Davydov <davydden@gmail.com>
Date: Tue, 3 Oct 2017 17:54:16 +0000 (+0200)
Subject: minor doxygen fixes
X-Git-Tag: v9.0.0-rc1~1000^2
X-Git-Url: https://gitweb.dealii.org/cgi-bin/gitweb.cgi?a=commitdiff_plain;h=35cc27f8ea1295daf4e7fe33ab01342766a41f2e;p=dealii.git

minor doxygen fixes
---

diff --git a/include/deal.II/lac/la_parallel_block_vector.h b/include/deal.II/lac/la_parallel_block_vector.h
index 37006d8407..397fbe4eeb 100644
--- a/include/deal.II/lac/la_parallel_block_vector.h
+++ b/include/deal.II/lac/la_parallel_block_vector.h
@@ -451,19 +451,21 @@ namespace LinearAlgebra
        * Calculate the scalar product between each block of this vector and @p V
        * and store the result in a full matrix @p matrix. This function
        * computes the result by forming $A_{ij}=U_i \cdot V_j$ where $U_i$
-       * and $V_i$ indicate the $i$th block (not element!) of $U$ and the
+       * and $V_j$ indicate the $i$th block (not element!) of $U$ and the
        * $j$th block of $V$, respectively. If @p symmetric is
        * <code>true</code>, it is assumed that inner product results in a
        * square symmetric matrix and almost half of the scalar products can be avoided.
        *
-       * Obviously, this function can only be used if each block in this
-       * object and @p V are of the same size.
+       * Obviously, this function can only be used if all blocks of both vectors
+       * are of the same size.
        *
        * @note Internally, a single global reduction will be called to
        * accumulate scalar product between locally owned degrees of freedom.
        */
       template <typename FullMatrixType>
-      void multivector_inner_product(FullMatrixType &matrix, const BlockVector<Number> &V, const bool symmetric = false) const;
+      void multivector_inner_product(FullMatrixType &matrix,
+                                     const BlockVector<Number> &V,
+                                     const bool symmetric = false) const;
 
       /**
        * Add @p a to all components. Note that @p a is a scalar not a vector.