From bfc7d3f4363f224ad4f4de71fc1d4ab4f261cbf6 Mon Sep 17 00:00:00 2001 From: Wolfgang Bangerth Date: Thu, 6 Aug 2015 06:51:07 -0500 Subject: [PATCH] Fix latex problems. --- include/deal.II/base/derivative_form.h | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/include/deal.II/base/derivative_form.h b/include/deal.II/base/derivative_form.h index bf79b842f0..961e900ef1 100644 --- a/include/deal.II/base/derivative_form.h +++ b/include/deal.II/base/derivative_form.h @@ -27,7 +27,7 @@ DEAL_II_NAMESPACE_OPEN * spacedim-dimensional space. For such objects, the first derivative of the * function is a linear map from ${\mathbb R}^{\text{dim}}$ to ${\mathbb * R}^{\text{spacedim}}$, i.e., it can be represented as a matrix - * in ${\mathbb R}^{\text{spacedim}\times \text{dim}}. This makes sense + * in ${\mathbb R}^{\text{spacedim}\times \text{dim}}$. This makes sense * since one would represent the first derivative, $\nabla f(\mathbf x)$ * with $\mathbf x\in {\mathbb R}^{\text{dim}}$, in such a way that the * directional derivative in direction $\mathbf d\in {\mathbb R}^{\text{dim}}$ @@ -39,7 +39,7 @@ DEAL_II_NAMESPACE_OPEN * @f} * i.e., one needs to be able to multiply the matrix $\nabla f(\mathbf x)$ by * a vector in ${\mathbb R}^{\text{dim}}$, and the result is a difference - * of function values, which are in ${\mathbb R}^{\text{spacedim}}. Consequently, + * of function values, which are in ${\mathbb R}^{\text{spacedim}}$. Consequently, * the matrix must be of size $\text{spacedim}\times\text{dim}$. * * Similarly, the second derivative is a bilinear map from ${\mathbb -- 2.39.5