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	<title>Technical Procedures &#187; Article</title>
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	<description>Computer Issues I&#039;ve Fixed, and How I Fixed Them.</description>
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		<title>Software Engineering: Munificent&#8217;s ghetto guide to Big-O notation:</title>
		<link>http://tech.omega.org.uk/blog/2009/12/software-engineering-munificents-ghetto-guide-to-big-o-notation/</link>
		<comments>http://tech.omega.org.uk/blog/2009/12/software-engineering-munificents-ghetto-guide-to-big-o-notation/#comments</comments>
		<pubDate>Thu, 03 Dec 2009 00:00:12 +0000</pubDate>
		<dc:creator>Adam</dc:creator>
				<category><![CDATA[Programming]]></category>
		<category><![CDATA[Software Engineering]]></category>
		<category><![CDATA[Article]]></category>

		<guid isPermaLink="false">http://tech.omega.org.uk/blog/?p=187</guid>
		<description><![CDATA[The basic idea is that you want a simple formula that converts the number of items you have to process to how long you can expect that to take. So, if you have 20 items and your Big-O is O(n^2), then it&#8217;ll take about 400 (of some unspecified unit of time/work) to process. The actual [...]]]></description>
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