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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Linear regression over the max-plus semiring: algorithms and applications · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1712.03499/</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/1712.03499/feed.xml" rel="self" type="application/rss+xml" /><item><title>Linear regression over the max-plus semiring: algorithms and applications — mentioned by eru</title><link>https://news.ycombinator.com/item?id=23477489</link><guid isPermaLink="false">urn:hackerpapers:mention:1712.03499:23477489</guid><pubDate>Wed, 10 Jun 2020 14:40:58 GMT</pubDate><description>&lt;p&gt;There&amp;#x27;s also lots of clever tricks to make things more linear. There&amp;#x27;s things like linear approximations. Or, my favourite, picking a clever semi-ring in which your problem is linear. See eg the analysis of Google&amp;#x27;s BBR TCP variant. Eg https://labs.xjtudlc.com/labs/wldmt1/papers/Traffic%20manage... Or &amp;#x27;Linear regression over the max-plus semiring:algorithms and applications&amp;#x27; (https://arxiv.org/pdf/1712.03499.pdf)&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1712.03499/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>math.NA</category></item></channel></rss>
