From c8b0caf837d8a6bb07e1ee8b98929ee3889f877d Mon Sep 17 00:00:00 2001
From: Neshar89 <37742994+Neshar89@users.noreply.github.com>
Date: Wed, 28 Nov 2018 17:43:28 +0100
Subject: [PATCH] Added blank space between the lines (#25136)

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 guide/english/algorithms/algorithm-performance/index.md | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/guide/english/algorithms/algorithm-performance/index.md b/guide/english/algorithms/algorithm-performance/index.md
index 7d6d074444..604148aa41 100644
--- a/guide/english/algorithms/algorithm-performance/index.md
+++ b/guide/english/algorithms/algorithm-performance/index.md
@@ -3,7 +3,9 @@ title: Algorithm Performance
 ---
 
 In mathematics, big-O notation is a symbolism used to describe and compare the _limiting behavior_ of a function.  
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 A function's limiting behavior is how the function acts as it approaches a specific value (usually trends towards infinity).
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 In short, big-O notation is used to describe the growth or decline of a function, usually with respect to another function.
 
 In algorithm design, we usually use big-O notation because we can see how good or bad an algorithm's performance will be.  From a denotative perspective, big-O denotes the runtime in the worst possible case scenario.  However, in many instances, people use it as a synonym for average expected runtime.