<?xml version="1.0"?>
<feed xmlns="http://www.w3.org/2005/Atom" xml:lang="en">
	<id>https://wiki.omnivision.website/index.php?action=history&amp;feed=atom&amp;title=4.2.3.1_Breadth-First_Search_%28BFS%29</id>
	<title>4.2.3.1 Breadth-First Search (BFS) - Revision history</title>
	<link rel="self" type="application/atom+xml" href="https://wiki.omnivision.website/index.php?action=history&amp;feed=atom&amp;title=4.2.3.1_Breadth-First_Search_%28BFS%29"/>
	<link rel="alternate" type="text/html" href="https://wiki.omnivision.website/index.php?title=4.2.3.1_Breadth-First_Search_(BFS)&amp;action=history"/>
	<updated>2026-07-04T00:32:00Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
	<generator>MediaWiki 1.43.9</generator>
	<entry>
		<id>https://wiki.omnivision.website/index.php?title=4.2.3.1_Breadth-First_Search_(BFS)&amp;diff=436&amp;oldid=prev</id>
		<title>Mr. Goldstein: Created page with &quot;=== 4.2.3.1 Breadth-First Search (BFS) === &#039;&#039;(Difficulty Note: Analogies help here. The &quot;layers&quot; concept is important.)&#039;&#039;  &#039;&#039;&#039;Breadth-First Search (BFS)&#039;&#039;&#039; is like exploring a maze by finding everything that&#039;s one step away from you, then everything two steps away, then everything three steps away, and so on. It explores &quot;layer by layer.&quot;  &#039;&#039;&#039;How it works (simplified):&#039;&#039;&#039;  # Start at a specific point (node). # Visit all its direct neighbors (nodes one step away). # Then,...&quot;</title>
		<link rel="alternate" type="text/html" href="https://wiki.omnivision.website/index.php?title=4.2.3.1_Breadth-First_Search_(BFS)&amp;diff=436&amp;oldid=prev"/>
		<updated>2025-07-11T22:37:14Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;=== 4.2.3.1 Breadth-First Search (BFS) === &amp;#039;&amp;#039;(Difficulty Note: Analogies help here. The &amp;quot;layers&amp;quot; concept is important.)&amp;#039;&amp;#039;  &amp;#039;&amp;#039;&amp;#039;Breadth-First Search (BFS)&amp;#039;&amp;#039;&amp;#039; is like exploring a maze by finding everything that&amp;#039;s one step away from you, then everything two steps away, then everything three steps away, and so on. It explores &amp;quot;layer by layer.&amp;quot;  &amp;#039;&amp;#039;&amp;#039;How it works (simplified):&amp;#039;&amp;#039;&amp;#039;  # Start at a specific point (node). # Visit all its direct neighbors (nodes one step away). # Then,...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;=== 4.2.3.1 Breadth-First Search (BFS) ===&lt;br /&gt;
&amp;#039;&amp;#039;(Difficulty Note: Analogies help here. The &amp;quot;layers&amp;quot; concept is important.)&amp;#039;&amp;#039;&lt;br /&gt;
&lt;br /&gt;
&amp;#039;&amp;#039;&amp;#039;Breadth-First Search (BFS)&amp;#039;&amp;#039;&amp;#039; is like exploring a maze by finding everything that&amp;#039;s one step away from you, then everything two steps away, then everything three steps away, and so on. It explores &amp;quot;layer by layer.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;#039;&amp;#039;&amp;#039;How it works (simplified):&amp;#039;&amp;#039;&amp;#039;&lt;br /&gt;
&lt;br /&gt;
# Start at a specific point (node).&lt;br /&gt;
# Visit all its direct neighbors (nodes one step away).&lt;br /&gt;
# Then, visit all the neighbors of those neighbors (nodes two steps away), but make sure you haven&amp;#039;t visited them already.&lt;br /&gt;
# Keep expanding outwards, layer by layer, until you find what you&amp;#039;re looking for or visit every reachable node.&lt;br /&gt;
&lt;br /&gt;
&amp;#039;&amp;#039;&amp;#039;Example:&amp;#039;&amp;#039;&amp;#039; Imagine finding the closest friends of your friends on a social network. BFS would find all your direct friends first, then all their direct friends, and so on.&lt;br /&gt;
&lt;br /&gt;
&amp;#039;&amp;#039;&amp;#039;When is it used?&amp;#039;&amp;#039;&amp;#039; BFS is great for finding the shortest path in terms of the number of steps (or connections) between two points, or for finding all reachable nodes in a network. It&amp;#039;s used in social media (finding connections), network routing (finding the quickest path by hops), and web crawlers (indexing web pages).&lt;br /&gt;
&lt;br /&gt;
&amp;#039;&amp;#039;&amp;#039;Bibliography:&amp;#039;&amp;#039;&amp;#039;&lt;br /&gt;
&lt;br /&gt;
* &amp;#039;&amp;#039;&amp;#039;Breadth-First Search (BFS).&amp;#039;&amp;#039;&amp;#039; (2025, March 4). &amp;#039;&amp;#039;GeeksforGeeks&amp;#039;&amp;#039;. Retrieved July 11, 2025, from https://www.geeksforgeeks.org/python/python-program-for-breadth-first-search-or-bfs-for-a-graph/&lt;br /&gt;
* &amp;#039;&amp;#039;&amp;#039;Breadth-first Search (BFS) Algorithm.&amp;#039;&amp;#039;&amp;#039; (2024, December 22). &amp;#039;&amp;#039;Interview Kickstart&amp;#039;&amp;#039;. Retrieved July 11, 2025, from https://interviewkickstart.com/blogs/learn/breadth-first-search-algorithm&lt;br /&gt;
&lt;br /&gt;
&amp;#039;&amp;#039;&amp;#039;Further Reading:&amp;#039;&amp;#039;&amp;#039;&lt;br /&gt;
&lt;br /&gt;
* &amp;#039;&amp;#039;&amp;#039;What is Breadth First Search?&amp;#039;&amp;#039;&amp;#039; (n.d.). &amp;#039;&amp;#039;Educative.io&amp;#039;&amp;#039;. Retrieved from https://how.dev/answers/what-is-breadth-first-search&lt;/div&gt;</summary>
		<author><name>Mr. Goldstein</name></author>
	</entry>
</feed>