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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>A Bound on the Expected Optimality of Random Feasible Solutions to Combinatorial Optimization Problems · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1402.0423/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1402.0423/feed.xml" rel="self" type="application/rss+xml" /><item><title>A Bound on the Expected Optimality of Random Feasible Solutions to Combinatorial Optimization Problems — mentioned by ajtulloch</title><link>https://news.ycombinator.com/item?id=8050993</link><guid isPermaLink="false">urn:hackerpapers:mention:1402.0423:8050993</guid><pubDate>Fri, 18 Jul 2014 00:13:07 GMT</pubDate><description>&lt;p&gt;This seems to be a specific case of the more general principle of &amp;quot;concentration of measure&amp;quot;. Terence Tao at [1] has some useful notes. From a quick scan of the paper at http://arxiv.org/pdf/1402.0423v1.pdf, Theorem 1 seems to essentially be a CoM result for the order statistics of symmetric RVs. This same principle can be applied in other contexts [2] - e.g. Johnson-Lindestrauss is essentially a statement that random projections are &amp;quot;often&amp;quot; nearly isometries. [1]: http://terrytao.wordpress.com/2010/01/03/254a-notes-1-concen... [2]: https://news.ycombinator.com/item?id=7971188&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1402.0423/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.DS</category></item></channel></rss>
