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  <title><![CDATA[Fast gradient methods for network flow problems]]></title>
  <body><![CDATA[<p><strong>TITLE:</strong>  Fast gradient methods for network flow problems
</p>
<p><strong>SPEAKER:</strong>  Dr. Yuri Nesterov
</p>
<p><strong>ABSTRACT:</strong>
</p>
<p>In this talk we present a new approach for finding approximate solutions to different network problems related to multi-commodity flows. We consider simple subgradient schemes and schemes based on the smoothing technique. The fastest of our methods solves the maximal concurrent flow problem in $O({qm ln n over delta})$ iterations, where $delta$ is the related accuracy, $m$ and $n$ are the number of arcs/nodes in the graph, and $q$ is the number<br />
of commodity sources. Each iteration of these schemes is very simple and does not require any sophisticated operations (e.g. shortest path computation). Its complexity is of the order $O(mq ln q)$ operations. The application of our approach needs a preliminary computational stage<br />
consisting in finding all node-to-node maximal flows, which takes $O(n2 m ln n)$ operations. </p>]]></body>
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      <value><![CDATA[2009-04-07T12:00:00-04:00]]></value>
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      <value><![CDATA[<strong>Anita  Race</strong><br />H. Milton Stewart School of Industrial and Systems Engineering<br /><a href="http://www.gatech.edu/contact/index.html?id=ar9">Contact Anita  Race</a>]]></value>
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