Merge remote-tracking branch 'upstream/master'

1 files changed, 13 insertions, 13 deletions

diff --git a/asymptotic-notation.html.markdown b/asymptotic-notation.html.markdown
index e1f961f8..a516737e 100644
--- a/asymptotic-notation.html.markdown
+++ b/asymptotic-notation.html.markdown
@@ -72,45 +72,45 @@ for a given function. Say `f(n)` is your algorithm runtime, and `g(n)` is an arb
 you are trying to relate to your algorithm. `f(n)` is O(g(n)), if for any real constant c (c > 0),
 `f(n)` <= `c g(n)` for every input size n (n > 0).
 
-*Example 1*  
+*Example 1*
 
 ```
-f(n) = 3log n + 100  
+f(n) = 3log n + 100
 g(n) = log n
 ```
 
-Is `f(n)` O(g(n))?  
-Is `3 log n + 100` O(log n)?  
+Is `f(n)` O(g(n))?
+Is `3 log n + 100` O(log n)?
 Let's look to the definition of Big-O.
 
 ```
-3log n + 100 <= c * log n  
+3log n + 100 <= c * log n
 ```
 
-Is there some constant c that satisfies this for all n?  
+Is there some constant c that satisfies this for all n?
 
 ```
-3log n + 100 <= 150 * log n, n > 2 (undefined at n = 1)  
+3log n + 100 <= 150 * log n, n > 2 (undefined at n = 1)
 ```
 
 Yes! The definition of Big-O has been met therefore `f(n)` is O(g(n)).
 
-*Example 2*  
+*Example 2*
 
 ```
-f(n) = 3*n^2  
+f(n) = 3*n^2
 g(n) = n
 ```
 
-Is `f(n)` O(g(n))?  
-Is `3 * n^2` O(n)?  
+Is `f(n)` O(g(n))?
+Is `3 * n^2` O(n)?
 Let's look at the definition of Big-O.
 
 ```
-3 * n^2 <= c * n  
+3 * n^2 <= c * n
 ```
 
-Is there some constant c that satisfies this for all n?  
+Is there some constant c that satisfies this for all n?
 No, there isn't. `f(n)` is NOT O(g(n)).
 
 ### Big-Omega