From 5fda60af209a73c24b2157a96e80f911caf98bc0 Mon Sep 17 00:00:00 2001
From: mkazhdan <misha@cs.jhu.edu>
Date: Fri, 19 Jul 2019 00:40:01 -0400
Subject: [PATCH] no message

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 35d51b5..62eb495 100644
--- a/README.md
+++ b/README.md
@@ -753,7 +753,7 @@ The function fitting the input samples can be by calling the point interpolant:
 Then, the reconstructed function can be evaluated at the evaluation samples by calling the adaptive tree visualization:
 <blockquote><code>% AdaptiveTreeVisualization --in quadratic.2D.tree --samples quadratic.2D.evaluation.samples</code></blockquote>
 This will output the evaluation positions and values:
-<blockquote><CODE>0 0 1.33836e-05<br>
+<blockquote><CODE>0 0 1.33836e-05</CODE></blockquote><br>
 <blockquote><CODE>0.5 0 0.25001</CODE></blockquote><br>
 <blockquote><CODE>0.5 0.5 0.500006</CODE></blockquote><br>
 <blockquote><CODE>2 2 nan</CODE></blockquote>