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	<title>LP/SDP-Based Approximation Algorithms</title>
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	<description>A Seminar from University at Buffalo</description>
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		<title>LP/SDP-Based Approximation Algorithms</title>
		<link>http://approxalgo.wordpress.com</link>
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		<title>Meeting times</title>
		<link>http://approxalgo.wordpress.com/2009/08/31/meeting-times/</link>
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		<pubDate>Mon, 31 Aug 2009 13:56:42 +0000</pubDate>
		<dc:creator>atri</dc:creator>
				<category><![CDATA[Announcements]]></category>

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		<description><![CDATA[Just a gentle reminder that we meet Mondays and Wednesdays from 2:30-4:00pm in Bell 242. In particular, we meet today (i.e. Aug 31). Also for student presentations, we will meet till 4:30pm.<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=approxalgo.wordpress.com&amp;blog=9054144&amp;post=6&amp;subd=approxalgo&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>Just a gentle reminder that we meet <strong>Mondays</strong> and <strong>Wednesdays</strong> from <strong>2:30-4:00pm</strong> in <strong>Bell 242</strong>. In particular, we meet today (i.e. Aug 31). Also for student presentations, we will meet till 4:30pm.</p>
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			<media:title type="html">atri</media:title>
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		<title>Plan for the LP-half of the course</title>
		<link>http://approxalgo.wordpress.com/2009/08/18/hello-world/</link>
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		<pubDate>Tue, 18 Aug 2009 03:13:53 +0000</pubDate>
		<dc:creator>NQH</dc:creator>
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		<description><![CDATA[This plan is only tentative. I have about 7 weeks to finish the following points. Brief introduction to approximation algorithms, motivate the use of linear programming: vertex-cover is the prototypical example. Then, a brief introduction to linear programming (LP). What it is. Known methods to solve it. Structures of LP solutions, some geometric intuition. Basic [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=approxalgo.wordpress.com&amp;blog=9054144&amp;post=1&amp;subd=approxalgo&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>This plan is only tentative. I have about 7 weeks to finish the following points.</p>
<ol>
<li>Brief introduction to approximation algorithms, motivate the use of linear programming: vertex-cover is the prototypical example. Then, a brief introduction to linear programming (LP). What it is. Known methods to solve it.</li>
<li>Structures of LP solutions, some geometric intuition. Basic feasible solutions (bfs, also called extreme point solutions) and intuition of the simplex method.</li>
<li>Farkas Lemma &amp; LP Duality. Proof of strong duality. Complementary slackness. The primal-dual algorithm.</li>
<li>Integer linear programming (ILP) and its relationship to LP: total unimodularity, integrality gap and its relation to approximation algorithms. In terms of total unimodularity, talk about how some combinatorial optimization problems (weighted bipartite matching, max-flow &amp; min-cut, shortest path, Hichcock problem) can be solved by solving LPs.</li>
<li> Ellipsoid method &amp; separation oracles.</li>
<li>Rounding.</li>
<li>Randomized rounding.</li>
<li>Iterative rounding.</li>
<li>Primal-dual method.</li>
<li>Dual-fitting.</li>
</ol>
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			<media:title type="html">NQH</media:title>
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