From 236ebc3e29bc0dbeff57de2ff3906c5c6f81e974 Mon Sep 17 00:00:00 2001
From: Cu Cui <cuic3@mail2.sysu.edu.cn>
Date: Fri, 21 Jan 2022 07:30:03 +0100
Subject: [PATCH] small fix to the documentation

---
 examples/step-37/doc/intro.dox | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/examples/step-37/doc/intro.dox b/examples/step-37/doc/intro.dox
index e60666c0d5..b691313549 100644
--- a/examples/step-37/doc/intro.dox
+++ b/examples/step-37/doc/intro.dox
@@ -362,7 +362,7 @@ interpolation operation over the completely regular data fields of the
 reference cell. We illustrate the process of complexity reduction in two space
 dimensions, but the same technique can be used in higher dimensions. On the
 reference cell, the basis functions are of the tensor product form
-$\phi(x,y,z) = \varphi_i(x) \varphi_j(y)$. The part of the matrix
+$\phi(x,y) = \varphi_i(x) \varphi_j(y)$. The part of the matrix
 <i>B</i><sub>ref_cell</sub> that computes the first component has the form
 $B_\mathrm{sub\_cell}^x = B_\mathrm{grad,x} \otimes B_\mathrm{val,y}$, where
 <i>B</i><sub>grad,x</sub> and <i>B</i><sub>val,y</sub> contain the evaluation
-- 
2.39.5